From fbfa70c14ce53f9341a4cdd2513df0b1ca5d0970 Mon Sep 17 00:00:00 2001 From: Sandy Spicer Date: Tue, 8 Oct 2024 14:52:04 -0700 Subject: [PATCH] fix: udf fix for oom (#25403) Co-authored-by: github-actions <41898282+github-actions[bot]@users.noreply.github.com> --- docker/clickhouse/user_defined_function.xml | 16 +- funnel-udf/src/main.rs | 315 +-- .../insights/funnels/funnel_udf.py | 15 +- .../test_funnel_correlation_actors_udf.ambr | 28 +- .../test_funnel_correlation_udf.ambr | 250 +- .../test_funnel_persons_udf.ambr | 9 +- .../__snapshots__/test_funnel_strict.ambr | 1127 -------- .../test_funnel_strict_persons_udf.ambr | 9 +- .../__snapshots__/test_funnel_strict_udf.ambr | 2391 ++--------------- .../test/__snapshots__/test_funnel_udf.ambr | 48 +- .../insights/funnels/test/test_funnel.py | 85 + .../funnels/test/test_funnel_strict_udf.py | 70 + .../insights/funnels/test/test_funnel_udf.py | 39 + posthog/user_scripts/aggregate_funnel_aarch64 | Bin 567912 -> 574720 bytes posthog/user_scripts/aggregate_funnel_x86_64 | Bin 572616 -> 580240 bytes .../latest_user_defined_function.xml | 34 +- .../user_scripts/v0/aggregate_funnel_aarch64 | Bin 567912 -> 574720 bytes .../user_scripts/v0/aggregate_funnel_x86_64 | Bin 572616 -> 580240 bytes .../user_scripts/v0/user_defined_function.xml | 34 +- 19 files changed, 803 insertions(+), 3667 deletions(-) diff --git a/docker/clickhouse/user_defined_function.xml b/docker/clickhouse/user_defined_function.xml index 9b58b380066e6..6af0f89bdafdb 100644 --- a/docker/clickhouse/user_defined_function.xml +++ b/docker/clickhouse/user_defined_function.xml @@ -1,6 +1,6 @@ - executable + executable_pool aggregate_funnel Array(Tuple(Int8, Nullable(String), Array(Float64), Array(Array(UUID)))) result @@ -34,7 +34,7 @@ - executable + executable_pool aggregate_funnel_cohort Array(Tuple(Int8, UInt64, Array(Float64), Array(Array(UUID)))) result @@ -68,7 +68,7 @@ - executable + executable_pool aggregate_funnel_array Array(Tuple(Int8, Array(String), Array(Float64), Array(Array(UUID)))) result @@ -102,7 +102,7 @@ - executable + executable_pool aggregate_funnel_test String result @@ -136,7 +136,7 @@ - executable + executable_pool aggregate_funnel_trends Array(Tuple(DateTime, Int8, Nullable(String))) result @@ -178,7 +178,7 @@ - executable + executable_pool aggregate_funnel_array_trends Array(Tuple(DateTime, Int8, Array(String))) @@ -217,7 +217,7 @@ - executable + executable_pool aggregate_funnel_cohort_trends Array(Tuple(DateTime, Int8, UInt64)) @@ -256,7 +256,7 @@ - executable + executable_pool aggregate_funnel_array_trends_test String result diff --git a/funnel-udf/src/main.rs b/funnel-udf/src/main.rs index 78775a9dd35b3..6169b0de2f824 100644 --- a/funnel-udf/src/main.rs +++ b/funnel-udf/src/main.rs @@ -2,7 +2,7 @@ use serde::{Deserialize, Serialize}; use serde_json::json; use std::io::{self, BufRead, Write}; use std::iter::repeat; -use itertools::Itertools; +use itertools::{Itertools}; use uuid::Uuid; #[derive(Clone, PartialEq, Deserialize, Serialize)] @@ -25,13 +25,13 @@ struct Event { timestamp: f64, uuid: Uuid, breakdown: PropVal, - steps: Vec, + steps: Vec, } #[derive(Deserialize)] struct Args { - num_steps: i32, - conversion_window_limit: u64, + num_steps: usize, + conversion_window_limit: u64, // In seconds breakdown_attribution_type: String, funnel_order_type: String, prop_vals: Vec, @@ -39,47 +39,56 @@ struct Args { } #[derive(Serialize)] -struct Result(i32, PropVal, Vec, Vec>); +struct Result(i8, PropVal, Vec, Vec>); + +struct Vars { + max_step: (usize, EnteredTimestamp), + event_uuids: Vec>, + entered_timestamp: Vec +} + +struct AggregateFunnelRow { + breakdown_step: Option, + results: Vec, +} const MAX_REPLAY_EVENTS: usize = 10; +const DEFAULT_ENTERED_TIMESTAMP: EnteredTimestamp = EnteredTimestamp { + timestamp: 0.0, + timings: vec![], + uuids: vec![], +}; + #[inline(always)] fn parse_args(line: &str) -> Args { serde_json::from_str(line).expect("Invalid JSON input") } -#[inline(always)] -fn calculate_funnel_from_user_events( - num_steps: i32, - conversion_window_limit_seconds: u64, - breakdown_attribution_type: &str, - funnel_order_type: &str, - prop_vals: Vec, - events: Vec, -) -> Vec { - let default_entered_timestamp = EnteredTimestamp { - timestamp: 0.0, - timings: vec![], - uuids: vec![], - }; - let breakdown_step = if breakdown_attribution_type.starts_with("step_") { - breakdown_attribution_type[5..].parse::().ok() - } else { - None - }; +impl AggregateFunnelRow { + #[inline(always)] + fn calculate_funnel_from_user_events(&mut self, args: &Args) -> &Vec { + if args.breakdown_attribution_type.starts_with("step_") { + self.breakdown_step = args.breakdown_attribution_type[5..].parse::().ok() + } + + args.prop_vals.iter().for_each(|prop_val| self.loop_prop_val(args, prop_val)); - let mut results: Vec = Vec::with_capacity(prop_vals.len()); + &self.results + } - for prop_val in prop_vals { - let mut max_step = (0, default_entered_timestamp.clone()); - let mut entered_timestamp = vec![default_entered_timestamp.clone(); (num_steps + 1) as usize]; - let mut event_uuids: Vec> = repeat(Vec::new()).take(num_steps as usize).collect(); - let mut add_max_step = true; + #[inline(always)] + fn loop_prop_val(&mut self, args: &Args, prop_val: &PropVal) { + let mut vars = Vars { + max_step: (0, DEFAULT_ENTERED_TIMESTAMP.clone()), + event_uuids: repeat(Vec::new()).take(args.num_steps).collect(), + entered_timestamp: vec![DEFAULT_ENTERED_TIMESTAMP.clone(); args.num_steps + 1] + }; - let filtered_events = events.iter() + let filtered_events = args.value.iter() .filter(|e| { - if breakdown_attribution_type == "all_events" { - e.breakdown == prop_val + if args.breakdown_attribution_type == "all_events" { + e.breakdown == *prop_val } else { true } @@ -88,149 +97,152 @@ fn calculate_funnel_from_user_events( for (timestamp, events_with_same_timestamp) in &filtered_events { let events_with_same_timestamp: Vec<_> = events_with_same_timestamp.collect(); - entered_timestamp[0] = EnteredTimestamp { + vars.entered_timestamp[0] = EnteredTimestamp { timestamp, timings: vec![], uuids: vec![], }; if events_with_same_timestamp.len() == 1 { - if !process_event( + if !self.process_event( + args, + &mut vars, &events_with_same_timestamp[0], - &mut entered_timestamp, - &prop_val, - &mut event_uuids, - conversion_window_limit_seconds, - funnel_order_type, - &mut max_step, - breakdown_step, - &mut results, + prop_val, + false ) { - add_max_step = false; - break; + return; } - } else { - // Handle permutations for events with the same timestamp - let mut entered_timestamps: Vec<_> = vec![]; - for perm in events_with_same_timestamp.iter().permutations(events_with_same_timestamp.len()) { - entered_timestamps.push(entered_timestamp.clone()); - for event in perm { - if !process_event( - &event, - &mut entered_timestamps.last_mut().unwrap(), - &prop_val, - &mut event_uuids, - conversion_window_limit_seconds, - funnel_order_type, - &mut max_step, - breakdown_step, - &mut results, - ) { - add_max_step = false; - break; - } + } else if events_with_same_timestamp.iter().map(|x| &x.steps).all_equal() { + // Deal with the most common case where they are all the same event (order doesn't matter) + for event in events_with_same_timestamp { + if !self.process_event( + args, + &mut vars, + event, + prop_val, + false + ) { + return; } } - for i in 0..entered_timestamp.len() { - entered_timestamp[i] = entered_timestamps.iter().max_by_key(|x| x[i].timestamp as i32).unwrap()[i].clone(); + } else { + // Handle permutations for different events with the same timestamp + // We ignore strict steps and exclusions in this case + // The behavior here is mostly dictated by how it was handled in the old style + + let sorted_events = events_with_same_timestamp + .iter() + .flat_map(|&event| { + event.steps + .iter() + .filter(|&&step| step > 0) + .map(|&step| Event { steps: vec![step], ..event.clone() }) + }).sorted_by_key(|event| event.steps[0]); + + // Run exclusions, if they exist, then run matching events. + for event in sorted_events { + if !self.process_event( + args, + &mut vars, + &event, + &prop_val, + true + ) { + return; + } } } - if entered_timestamp[num_steps as usize].timestamp > 0.0 { + // If we hit the goal, we can terminate early + if vars.entered_timestamp[args.num_steps].timestamp > 0.0 { break; } } - if add_max_step { - let final_index = max_step.0; - let final_value = &max_step.1; + // Find the furthest step we have made it to and print it + let final_index = vars.max_step.0; + let final_value = &vars.max_step.1; - for i in 0..final_index { - //if event_uuids[i].len() >= MAX_REPLAY_EVENTS && !event_uuids[i].contains(&final_value.uuids[i]) { - // Always put the actual event uuids first, we use it to extract timestamps - // This might create duplicates, but that's fine (we can remove it in clickhouse) - event_uuids[i].insert(0, final_value.uuids[i].clone()); - } - results.push(Result( - final_index as i32 - 1, - prop_val, - final_value.timings.windows(2).map(|w| w[1] - w[0]).collect(), - event_uuids - )) + for i in 0..final_index { + //if event_uuids[i].len() >= MAX_REPLAY_EVENTS && !event_uuids[i].contains(&final_value.uuids[i]) { + // Always put the actual event uuids first, we use it to extract timestamps + // This might create duplicates, but that's fine (we can remove it in clickhouse) + vars.event_uuids[i].insert(0, final_value.uuids[i].clone()); } + self.results.push(Result( + final_index as i8 - 1, + prop_val.clone(), + final_value.timings.windows(2).map(|w| w[1] - w[0]).collect(), + vars.event_uuids, + )) } - results -} - -#[inline(always)] -fn process_event( - event: &Event, - entered_timestamp: &mut Vec, - prop_val: &PropVal, - event_uuids: &mut Vec>, - conversion_window_limit_seconds: u64, - funnel_order_type: &str, - max_step: &mut (usize, EnteredTimestamp), - breakdown_step: Option, - results: &mut Vec -) -> bool { - for step in event.steps.iter().rev() { - let mut exclusion = false; - let step = (if *step < 0 { - exclusion = true; - -*step - } else { - *step - }) as usize; + #[inline(always)] + fn process_event( + &mut self, + args: &Args, + vars: &mut Vars, + event: &Event, + prop_val: &PropVal, + processing_multiple_events: bool + ) -> bool { + for step in event.steps.iter().rev() { + let mut exclusion = false; + let step = (if *step < 0 { + exclusion = true; + -*step + } else { + *step + }) as usize; - let in_match_window = (event.timestamp - entered_timestamp[step - 1].timestamp) <= conversion_window_limit_seconds as f64; - let already_reached_this_step = entered_timestamp[step].timestamp == entered_timestamp[step - 1].timestamp - && entered_timestamp[step].timestamp != 0.0; + let in_match_window = (event.timestamp - vars.entered_timestamp[step - 1].timestamp) <= args.conversion_window_limit as f64; + let already_reached_this_step = vars.entered_timestamp[step].timestamp == vars.entered_timestamp[step - 1].timestamp + && vars.entered_timestamp[step].timestamp != 0.0; - if in_match_window && !already_reached_this_step { - if exclusion { - results.push(Result ( -1, prop_val.clone(), vec![], vec![] )); - return false; - } - let is_unmatched_step_attribution = breakdown_step.map( |breakdown_step| step == breakdown_step - 1 ).unwrap_or(false) && *prop_val != event.breakdown; - if !is_unmatched_step_attribution { - entered_timestamp[step] = EnteredTimestamp { - timestamp: entered_timestamp[step - 1].timestamp, - timings: { - let mut timings = entered_timestamp[step - 1].timings.clone(); - timings.push(event.timestamp); - timings - }, - uuids: { - let mut uuids = entered_timestamp[step - 1].uuids.clone(); - uuids.push(event.uuid); - uuids - }, - }; - if event_uuids[step - 1].len() < MAX_REPLAY_EVENTS - 1 { - event_uuids[step - 1].push(event.uuid); + if in_match_window && !already_reached_this_step { + if exclusion { + self.results.push(Result(-1, prop_val.clone(), vec![], vec![])); + return false; + } + let is_unmatched_step_attribution = self.breakdown_step.map(|breakdown_step| step == breakdown_step - 1).unwrap_or(false) && *prop_val != event.breakdown; + let already_used_event = processing_multiple_events && vars.entered_timestamp[step-1].uuids.contains(&event.uuid); + if !is_unmatched_step_attribution && !already_used_event { + vars.entered_timestamp[step] = EnteredTimestamp { + timestamp: vars.entered_timestamp[step - 1].timestamp, + timings: { + let mut timings = vars.entered_timestamp[step - 1].timings.clone(); + timings.push(event.timestamp); + timings + }, + uuids: { + let mut uuids = vars.entered_timestamp[step - 1].uuids.clone(); + uuids.push(event.uuid); + uuids + }, + }; + if vars.event_uuids[step - 1].len() < MAX_REPLAY_EVENTS - 1 { + vars.event_uuids[step - 1].push(event.uuid); + } + if step > vars.max_step.0 { + vars.max_step = (step, vars.entered_timestamp[step].clone()); + } } - } - if step > max_step.0 { - *max_step = (step, entered_timestamp[step].clone()); } } - } - if funnel_order_type == "strict" { - for i in 1..entered_timestamp.len() { - if !event.steps.contains(&(i as i32)) { - entered_timestamp[i] = EnteredTimestamp { - timestamp: 0.0, - timings: vec![], - uuids: vec![], - }; + // If a strict funnel, clear all of the steps that we didn't match to + // If we are processing multiple events, skip this step, because ordering makes it complicated + if !processing_multiple_events && args.funnel_order_type == "strict" { + for i in 1..vars.entered_timestamp.len() { + if !event.steps.contains(&(i as i8)) { + vars.entered_timestamp[i] = DEFAULT_ENTERED_TIMESTAMP; + } } } - } - true + true + } } fn main() { @@ -240,14 +252,11 @@ fn main() { for line in stdin.lock().lines() { if let Ok(line) = line { let args = parse_args(&line); - let result = calculate_funnel_from_user_events( - args.num_steps, - args.conversion_window_limit, - &args.breakdown_attribution_type, - &args.funnel_order_type, - args.prop_vals, - args.value - ); + let mut aggregate_funnel_row = AggregateFunnelRow { + results: Vec::with_capacity(args.prop_vals.len()), + breakdown_step: Option::None, + }; + let result = aggregate_funnel_row.calculate_funnel_from_user_events(&args); let output = json!({ "result": result }); writeln!(stdout, "{}", output).unwrap(); stdout.flush().unwrap(); diff --git a/posthog/hogql_queries/insights/funnels/funnel_udf.py b/posthog/hogql_queries/insights/funnels/funnel_udf.py index b2568acc74538..a49cbd09d4984 100644 --- a/posthog/hogql_queries/insights/funnels/funnel_udf.py +++ b/posthog/hogql_queries/insights/funnels/funnel_udf.py @@ -37,6 +37,18 @@ def conversion_window_limit(self) -> int: self.context.funnelWindowInterval * DATERANGE_MAP[self.context.funnelWindowIntervalUnit].total_seconds() ) + # This is used to reduce the number of events we look at in strict funnels + # We remove a non-matching event if there was already one before it (that don't have the same timestamp) + def _array_filter(self): + if self.context.funnelsFilter.funnelOrderType == "strict": + return f""" + arrayFilter( + (x, i) -> not (isNotNull(events_array[i-1]) and empty(x.4) and empty(events_array[i-1].4) and x.1 > events_array[i-1].1), + events_array, + arrayEnumerate(events_array)) + """ + return "events_array" + # This is the function that calls the UDF # This is used by both the query itself and the actors query def _inner_aggregation_query(self): @@ -93,13 +105,14 @@ def matched_event_arrays_selects(): inner_select = parse_select( f""" SELECT + arraySort(t -> t.1, groupArray(tuple(toFloat(timestamp), uuid, {prop_selector}, arrayFilter((x) -> x != 0, [{steps}{exclusions}])))) as events_array, arrayJoin({fn}( {self.context.max_steps}, {self.conversion_window_limit()}, '{breakdown_attribution_string}', '{self.context.funnelsFilter.funnelOrderType}', {prop_vals}, - arraySort(t -> t.1, groupArray(tuple(toFloat(timestamp), uuid, {prop_selector}, arrayFilter((x) -> x != 0, [{steps}{exclusions}])))) + {self._array_filter()} )) as af_tuple, af_tuple.1 as step_reached, af_tuple.1 + 1 as steps, -- Backward compatibility diff --git a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_correlation_actors_udf.ambr b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_correlation_actors_udf.ambr index c55def5ee7da4..a53fbc8987b1e 100644 --- a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_correlation_actors_udf.ambr +++ b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_correlation_actors_udf.ambr @@ -25,7 +25,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -76,7 +77,7 @@ JOIN (SELECT aggregation_target AS actor_id, matched_events_array[plus(step_reached, 1)] AS matching_events, (matched_events_array[1][1]).1 AS timestamp, nullIf((matched_events_array[2][1]).1, 0) AS final_timestamp, (matched_events_array[1][1]).1 AS first_timestamp, steps AS steps, final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target FROM (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, e.uuid AS uuid, e.`$session_id` AS `$session_id`, e.`$window_id` AS `$window_id`, if(equals(e.event, '$pageview'), 1, 0) AS step_0, if(equals(e.event, 'insight analyzed'), 1, 0) AS step_1 FROM events AS e @@ -147,7 +148,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -199,7 +201,7 @@ JOIN (SELECT aggregation_target AS actor_id, matched_events_array[plus(step_reached, 1)] AS matching_events, (matched_events_array[1][1]).1 AS timestamp, nullIf((matched_events_array[3][1]).1, 0) AS final_timestamp, (matched_events_array[1][1]).1 AS first_timestamp, steps AS steps, final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target FROM (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, e.uuid AS uuid, e.`$session_id` AS `$session_id`, e.`$window_id` AS `$window_id`, if(equals(e.event, '$pageview'), 1, 0) AS step_0, if(equals(e.event, 'insight analyzed'), 1, 0) AS step_1, if(equals(e.event, 'insight updated'), 1, 0) AS step_2 FROM events AS e @@ -262,7 +264,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -316,7 +319,7 @@ FROM (SELECT aggregation_target AS actor_id, matched_events_array[plus(step_reached, 1)] AS matching_events, (matched_events_array[1][1]).1 AS timestamp, nullIf((matched_events_array[2][1]).1, 0) AS final_timestamp, (matched_events_array[1][1]).1 AS first_timestamp, steps AS steps, final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target FROM (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, e.uuid AS uuid, e.`$session_id` AS `$session_id`, e.`$window_id` AS `$window_id`, if(equals(e.event, '$pageview'), 1, 0) AS step_0, if(equals(e.event, 'insight analyzed'), 1, 0) AS step_1 FROM events AS e @@ -385,7 +388,8 @@ rowNumberInBlock() AS row_number, breakdown AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', [[]], arrayFilter((x, i) -> not(and(isNotNull(events_array[minus(i, 1)]), empty(x.4), empty((events_array[minus(i, 1)]).4), ifNull(greater(x.1, (events_array[minus(i, 1)]).1), 0))), events_array, arrayEnumerate(events_array)))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -441,7 +445,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', [[]], arrayFilter((x, i) -> not(and(isNotNull(events_array[minus(i, 1)]), empty(x.4), empty((events_array[minus(i, 1)]).4), ifNull(greater(x.1, (events_array[minus(i, 1)]).1), 0))), events_array, arrayEnumerate(events_array)))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -495,7 +500,7 @@ FROM (SELECT aggregation_target AS actor_id, matched_events_array[plus(step_reached, 1)] AS matching_events, (matched_events_array[1][1]).1 AS timestamp, nullIf((matched_events_array[2][1]).1, 0) AS final_timestamp, (matched_events_array[1][1]).1 AS first_timestamp, steps AS steps, final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', [[]], arrayFilter((x, i) -> not(and(isNotNull(events_array[minus(i, 1)]), empty(x.4), empty((events_array[minus(i, 1)]).4), ifNull(greater(x.1, (events_array[minus(i, 1)]).1), 0))), events_array, arrayEnumerate(events_array)))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target FROM (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, e.uuid AS uuid, e.`$session_id` AS `$session_id`, e.`$window_id` AS `$window_id`, if(equals(e.event, '$pageview'), 1, 0) AS step_0, if(equals(e.event, 'insight analyzed'), 1, 0) AS step_1 FROM events AS e @@ -567,7 +572,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', [[]], arrayFilter((x, i) -> not(and(isNotNull(events_array[minus(i, 1)]), empty(x.4), empty((events_array[minus(i, 1)]).4), ifNull(greater(x.1, (events_array[minus(i, 1)]).1), 0))), events_array, arrayEnumerate(events_array)))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -621,7 +627,7 @@ FROM (SELECT aggregation_target AS actor_id, matched_events_array[plus(step_reached, 1)] AS matching_events, (matched_events_array[1][1]).1 AS timestamp, nullIf((matched_events_array[2][1]).1, 0) AS final_timestamp, (matched_events_array[1][1]).1 AS first_timestamp, steps AS steps, final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', [[]], arrayFilter((x, i) -> not(and(isNotNull(events_array[minus(i, 1)]), empty(x.4), empty((events_array[minus(i, 1)]).4), ifNull(greater(x.1, (events_array[minus(i, 1)]).1), 0))), events_array, arrayEnumerate(events_array)))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target FROM (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, e.uuid AS uuid, e.`$session_id` AS `$session_id`, e.`$window_id` AS `$window_id`, if(equals(e.event, '$pageview'), 1, 0) AS step_0, if(equals(e.event, 'insight analyzed'), 1, 0) AS step_1 FROM events AS e diff --git a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_correlation_udf.ambr b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_correlation_udf.ambr index e1ddaaabb7ece..ed6e57f0db7b0 100644 --- a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_correlation_udf.ambr +++ b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_correlation_udf.ambr @@ -21,7 +21,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -68,7 +69,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -126,7 +128,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -186,7 +189,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -244,7 +248,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -298,7 +303,7 @@ FROM (SELECT aggregation_target AS actor_id, matched_events_array[plus(step_reached, 1)] AS matching_events, (matched_events_array[1][1]).1 AS timestamp, nullIf((matched_events_array[2][1]).1, 0) AS final_timestamp, (matched_events_array[1][1]).1 AS first_timestamp, steps AS steps, final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target FROM (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, e.uuid AS uuid, e.`$session_id` AS `$session_id`, e.`$window_id` AS `$window_id`, if(equals(e.event, 'user signed up'), 1, 0) AS step_0, if(equals(e.event, 'paid'), 1, 0) AS step_1 FROM events AS e @@ -370,7 +375,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -424,7 +430,7 @@ FROM (SELECT aggregation_target AS actor_id, matched_events_array[plus(step_reached, 1)] AS matching_events, (matched_events_array[1][1]).1 AS timestamp, nullIf((matched_events_array[2][1]).1, 0) AS final_timestamp, (matched_events_array[1][1]).1 AS first_timestamp, steps AS steps, final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target FROM (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, e.uuid AS uuid, e.`$session_id` AS `$session_id`, e.`$window_id` AS `$window_id`, if(equals(e.event, 'user signed up'), 1, 0) AS step_0, if(equals(e.event, 'paid'), 1, 0) AS step_1 FROM events AS e @@ -496,7 +502,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -550,7 +557,7 @@ FROM (SELECT aggregation_target AS actor_id, matched_events_array[plus(step_reached, 1)] AS matching_events, (matched_events_array[1][1]).1 AS timestamp, nullIf((matched_events_array[2][1]).1, 0) AS final_timestamp, (matched_events_array[1][1]).1 AS first_timestamp, steps AS steps, final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target FROM (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, e.uuid AS uuid, e.`$session_id` AS `$session_id`, e.`$window_id` AS `$window_id`, if(equals(e.event, 'user signed up'), 1, 0) AS step_0, if(equals(e.event, 'paid'), 1, 0) AS step_1 FROM events AS e @@ -622,7 +629,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -676,7 +684,7 @@ FROM (SELECT aggregation_target AS actor_id, matched_events_array[plus(step_reached, 1)] AS matching_events, (matched_events_array[1][1]).1 AS timestamp, nullIf((matched_events_array[2][1]).1, 0) AS final_timestamp, (matched_events_array[1][1]).1 AS first_timestamp, steps AS steps, final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target FROM (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, e.uuid AS uuid, e.`$session_id` AS `$session_id`, e.`$window_id` AS `$window_id`, if(equals(e.event, 'user signed up'), 1, 0) AS step_0, if(equals(e.event, 'paid'), 1, 0) AS step_1 FROM events AS e @@ -748,7 +756,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -808,7 +817,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -866,7 +876,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -920,7 +931,7 @@ FROM (SELECT aggregation_target AS actor_id, matched_events_array[plus(step_reached, 1)] AS matching_events, (matched_events_array[1][1]).1 AS timestamp, nullIf((matched_events_array[2][1]).1, 0) AS final_timestamp, (matched_events_array[1][1]).1 AS first_timestamp, steps AS steps, final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target FROM (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, e.uuid AS uuid, e.`$session_id` AS `$session_id`, e.`$window_id` AS `$window_id`, if(equals(e.event, 'user signed up'), 1, 0) AS step_0, if(equals(e.event, 'paid'), 1, 0) AS step_1 FROM events AS e @@ -992,7 +1003,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1046,7 +1058,7 @@ FROM (SELECT aggregation_target AS actor_id, matched_events_array[plus(step_reached, 1)] AS matching_events, (matched_events_array[1][1]).1 AS timestamp, nullIf((matched_events_array[2][1]).1, 0) AS final_timestamp, (matched_events_array[1][1]).1 AS first_timestamp, steps AS steps, final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target FROM (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, e.uuid AS uuid, e.`$session_id` AS `$session_id`, e.`$window_id` AS `$window_id`, if(equals(e.event, 'user signed up'), 1, 0) AS step_0, if(equals(e.event, 'paid'), 1, 0) AS step_1 FROM events AS e @@ -1118,7 +1130,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1172,7 +1185,7 @@ FROM (SELECT aggregation_target AS actor_id, matched_events_array[plus(step_reached, 1)] AS matching_events, (matched_events_array[1][1]).1 AS timestamp, nullIf((matched_events_array[2][1]).1, 0) AS final_timestamp, (matched_events_array[1][1]).1 AS first_timestamp, steps AS steps, final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target FROM (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, e.uuid AS uuid, e.`$session_id` AS `$session_id`, e.`$window_id` AS `$window_id`, if(equals(e.event, 'user signed up'), 1, 0) AS step_0, if(equals(e.event, 'paid'), 1, 0) AS step_1 FROM events AS e @@ -1244,7 +1257,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1298,7 +1312,7 @@ FROM (SELECT aggregation_target AS actor_id, matched_events_array[plus(step_reached, 1)] AS matching_events, (matched_events_array[1][1]).1 AS timestamp, nullIf((matched_events_array[2][1]).1, 0) AS final_timestamp, (matched_events_array[1][1]).1 AS first_timestamp, steps AS steps, final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, af_tuple.3 AS timings, af_tuple.4 AS matched_event_uuids_array_array, groupArray(tuple(timestamp, uuid, `$session_id`, `$window_id`)) AS user_events, mapFromArrays(arrayMap(x -> x.2, user_events), user_events) AS user_events_map, arrayMap(matched_event_uuids_array -> arrayMap(event_uuid -> user_events_map[event_uuid], arrayDistinct(matched_event_uuids_array)), matched_event_uuids_array_array) AS matched_events_array, aggregation_target AS aggregation_target FROM (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, e.uuid AS uuid, e.`$session_id` AS `$session_id`, e.`$window_id` AS `$window_id`, if(equals(e.event, 'user signed up'), 1, 0) AS step_0, if(equals(e.event, 'paid'), 1, 0) AS step_1 FROM events AS e @@ -1372,7 +1386,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1413,7 +1428,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1466,7 +1482,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1507,7 +1524,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1555,7 +1573,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1595,7 +1614,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1645,7 +1665,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1707,7 +1728,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1769,7 +1791,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1831,7 +1854,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1891,7 +1915,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1939,7 +1964,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1997,7 +2023,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2059,7 +2086,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2119,7 +2147,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2159,7 +2188,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2209,7 +2239,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2271,7 +2302,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2333,7 +2365,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2395,7 +2428,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2455,7 +2489,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2503,7 +2538,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2561,7 +2597,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2623,7 +2660,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2686,7 +2724,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2738,7 +2777,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2787,7 +2827,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2856,7 +2897,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2925,7 +2967,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2994,7 +3037,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3065,7 +3109,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3117,7 +3162,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3168,7 +3214,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3220,7 +3267,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3269,7 +3317,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3338,7 +3387,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3407,7 +3457,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3476,7 +3527,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3547,7 +3599,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3599,7 +3652,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3650,7 +3704,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3702,7 +3757,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3751,7 +3807,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3820,7 +3877,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3889,7 +3947,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -3958,7 +4017,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4029,7 +4089,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4081,7 +4142,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4132,7 +4194,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4184,7 +4247,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4233,7 +4297,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4302,7 +4367,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4371,7 +4437,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4440,7 +4507,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4511,7 +4579,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4563,7 +4632,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4614,7 +4684,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4666,7 +4737,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4715,7 +4787,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4784,7 +4857,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4853,7 +4927,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4922,7 +4997,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -4993,7 +5069,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -5045,7 +5122,8 @@ final_timestamp, first_timestamp FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, diff --git a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_persons_udf.ambr b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_persons_udf.ambr index 90e66603e5963..42c71c0354c39 100644 --- a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_persons_udf.ambr +++ b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_persons_udf.ambr @@ -8,7 +8,8 @@ (SELECT aggregation_target AS actor_id, matched_events_array[1] AS matching_events FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -81,7 +82,8 @@ (SELECT aggregation_target AS actor_id, matched_events_array[2] AS matching_events FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -154,7 +156,8 @@ (SELECT aggregation_target AS actor_id, matched_events_array[2] AS matching_events FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, diff --git a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict.ambr b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict.ambr index 5133b5e227437..fbc88b8a5d2ec 100644 --- a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict.ambr +++ b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict.ambr @@ -1,1131 +1,4 @@ # serializer version: 1 -# name: BaseTestFunnelStrictStepsBreakdown.test_funnel_breakdown_correct_breakdown_props_are_chosen - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, - if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, - if(ifNull(less(row_number, 26), 0), prop, ['Other']) AS final_prop - FROM - (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, - countIf(ifNull(equals(steps, 2), 0)) AS step_2, - groupArray(step_1_conversion_time) AS step_1_conversion_time_array, - prop AS prop, - row_number() OVER ( - ORDER BY step_2 DESC) AS row_number - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - prop AS prop, - min(step_1_conversion_time) AS step_1_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - max(steps) OVER (PARTITION BY aggregation_target, - prop) AS max_steps, - step_1_conversion_time AS step_1_conversion_time, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop AS prop, - if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1) AS steps, - if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - min(latest_1) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, - prop AS prop - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['']) AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT OUTER JOIN - (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, - person_distinct_id_overrides.distinct_id AS distinct_id - FROM person_distinct_id_overrides - WHERE equals(person_distinct_id_overrides.team_id, 2) - GROUP BY person_distinct_id_overrides.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) - WHERE ifNull(equals(step_0, 1), 0))) - GROUP BY aggregation_target, - steps, - prop - HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) - and isNull(max(max_steps)))) - GROUP BY prop) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: BaseTestFunnelStrictStepsBreakdown.test_funnel_breakdown_correct_breakdown_props_are_chosen_for_step - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, - if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, - if(ifNull(less(row_number, 26), 0), prop, ['Other']) AS final_prop - FROM - (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, - countIf(ifNull(equals(steps, 2), 0)) AS step_2, - groupArray(step_1_conversion_time) AS step_1_conversion_time_array, - prop AS prop, - row_number() OVER ( - ORDER BY step_2 DESC) AS row_number - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - prop AS prop, - min(step_1_conversion_time) AS step_1_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - max(steps) OVER (PARTITION BY aggregation_target, - prop) AS max_steps, - step_1_conversion_time AS step_1_conversion_time, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop AS prop, - if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1) AS steps, - if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - min(latest_1) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, - prop AS prop - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop_basic AS prop_basic, - prop_0 AS prop_0, - prop_1 AS prop_1, - prop, - prop_vals AS prop_vals, - prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, - if(ifNull(equals(step_0, 1), 0), prop_basic, []) AS prop_0, - if(ifNull(equals(step_1, 1), 0), prop_basic, []) AS prop_1, - prop_1 AS prop, - groupUniqArray(prop) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT OUTER JOIN - (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, - person_distinct_id_overrides.distinct_id AS distinct_id - FROM person_distinct_id_overrides - WHERE equals(person_distinct_id_overrides.team_id, 2) - GROUP BY person_distinct_id_overrides.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))) ARRAY - JOIN prop_vals AS prop - WHERE ifNull(notEquals(prop, []), isNotNull(prop) - or isNotNull([])))) - WHERE ifNull(equals(step_0, 1), 0))) - GROUP BY aggregation_target, - steps, - prop - HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) - and isNull(max(max_steps)))) - GROUP BY prop) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: BaseTestFunnelStrictStepsBreakdown.test_funnel_step_multiple_breakdown_snapshot - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, - if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, - if(ifNull(less(row_number, 26), 0), prop, ['Other']) AS final_prop - FROM - (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, - countIf(ifNull(equals(steps, 2), 0)) AS step_2, - groupArray(step_1_conversion_time) AS step_1_conversion_time_array, - prop AS prop, - row_number() OVER ( - ORDER BY step_2 DESC) AS row_number - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - prop AS prop, - min(step_1_conversion_time) AS step_1_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - max(steps) OVER (PARTITION BY aggregation_target, - prop) AS max_steps, - step_1_conversion_time AS step_1_conversion_time, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop AS prop, - if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1) AS steps, - if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - min(latest_1) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, - prop AS prop - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['', '']) AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(equals(e.event, 'buy'), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), ''), ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT OUTER JOIN - (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, - person_distinct_id_overrides.distinct_id AS distinct_id - FROM person_distinct_id_overrides - WHERE equals(person_distinct_id_overrides.team_id, 2) - GROUP BY person_distinct_id_overrides.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) - WHERE ifNull(equals(step_0, 1), 0))) - GROUP BY aggregation_target, - steps, - prop - HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) - and isNull(max(max_steps)))) - GROUP BY prop) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_aggregate_by_groups_breakdown_group_person_on_events - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - sum(step_3) AS step_3, - if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, - if(isNaN(avgArrayOrNull(step_2_conversion_time_array) AS inter_2_conversion), NULL, inter_2_conversion) AS step_2_average_conversion_time, - if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, - if(isNaN(medianArrayOrNull(step_2_conversion_time_array) AS inter_2_median), NULL, inter_2_median) AS step_2_median_conversion_time, - if(ifNull(less(row_number, 26), 0), prop, 'Other') AS final_prop - FROM - (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, - countIf(ifNull(equals(steps, 2), 0)) AS step_2, - countIf(ifNull(equals(steps, 3), 0)) AS step_3, - groupArray(step_1_conversion_time) AS step_1_conversion_time_array, - groupArray(step_2_conversion_time) AS step_2_conversion_time_array, - prop AS prop, - row_number() OVER ( - ORDER BY step_3 DESC) AS row_number - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - prop AS prop, - min(step_1_conversion_time) AS step_1_conversion_time, - min(step_2_conversion_time) AS step_2_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - max(steps) OVER (PARTITION BY aggregation_target, - prop) AS max_steps, - step_1_conversion_time AS step_1_conversion_time, - step_2_conversion_time AS step_2_conversion_time, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - step_2 AS step_2, - latest_2 AS latest_2, - prop AS prop, - if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, - if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, - if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - min(latest_1) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, - step_2 AS step_2, - min(latest_2) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) AS latest_2, - prop AS prop - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - step_2 AS step_2, - latest_2 AS latest_2, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - prop_vals AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - e.`$group_0` AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(equals(e.event, 'play movie'), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - if(equals(e.event, 'buy'), 1, 0) AS step_2, - if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, - ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT JOIN - (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, - groups.group_type_index AS index, - groups.group_key AS key - FROM groups - WHERE and(equals(groups.team_id, 2), equals(index, 0)) - GROUP BY groups.group_type_index, - groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) - WHERE ifNull(equals(step_0, 1), 0))) - GROUP BY aggregation_target, - steps, - prop - HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) - and isNull(max(max_steps)))) - GROUP BY prop) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_aggregate_by_groups_breakdown_group_person_on_events_poe_v2 - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - sum(step_3) AS step_3, - if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, - if(isNaN(avgArrayOrNull(step_2_conversion_time_array) AS inter_2_conversion), NULL, inter_2_conversion) AS step_2_average_conversion_time, - if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, - if(isNaN(medianArrayOrNull(step_2_conversion_time_array) AS inter_2_median), NULL, inter_2_median) AS step_2_median_conversion_time, - if(ifNull(less(row_number, 26), 0), prop, 'Other') AS final_prop - FROM - (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, - countIf(ifNull(equals(steps, 2), 0)) AS step_2, - countIf(ifNull(equals(steps, 3), 0)) AS step_3, - groupArray(step_1_conversion_time) AS step_1_conversion_time_array, - groupArray(step_2_conversion_time) AS step_2_conversion_time_array, - prop AS prop, - row_number() OVER ( - ORDER BY step_3 DESC) AS row_number - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - prop AS prop, - min(step_1_conversion_time) AS step_1_conversion_time, - min(step_2_conversion_time) AS step_2_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - max(steps) OVER (PARTITION BY aggregation_target, - prop) AS max_steps, - step_1_conversion_time AS step_1_conversion_time, - step_2_conversion_time AS step_2_conversion_time, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - step_2 AS step_2, - latest_2 AS latest_2, - prop AS prop, - if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, - if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, - if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - min(latest_1) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, - step_2 AS step_2, - min(latest_2) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) AS latest_2, - prop AS prop - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - step_2 AS step_2, - latest_2 AS latest_2, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - prop_vals AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - e.`$group_0` AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(equals(e.event, 'play movie'), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - if(equals(e.event, 'buy'), 1, 0) AS step_2, - if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, - ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT JOIN - (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, - groups.group_type_index AS index, - groups.group_key AS key - FROM groups - WHERE and(equals(groups.team_id, 2), equals(index, 0)) - GROUP BY groups.group_type_index, - groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) - WHERE ifNull(equals(step_0, 1), 0))) - GROUP BY aggregation_target, - steps, - prop - HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) - and isNull(max(max_steps)))) - GROUP BY prop) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - sum(step_3) AS step_3, - if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, - if(isNaN(avgArrayOrNull(step_2_conversion_time_array) AS inter_2_conversion), NULL, inter_2_conversion) AS step_2_average_conversion_time, - if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, - if(isNaN(medianArrayOrNull(step_2_conversion_time_array) AS inter_2_median), NULL, inter_2_median) AS step_2_median_conversion_time, - if(ifNull(less(row_number, 26), 0), prop, 'Other') AS final_prop - FROM - (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, - countIf(ifNull(equals(steps, 2), 0)) AS step_2, - countIf(ifNull(equals(steps, 3), 0)) AS step_3, - groupArray(step_1_conversion_time) AS step_1_conversion_time_array, - groupArray(step_2_conversion_time) AS step_2_conversion_time_array, - prop AS prop, - row_number() OVER ( - ORDER BY step_3 DESC) AS row_number - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - prop AS prop, - min(step_1_conversion_time) AS step_1_conversion_time, - min(step_2_conversion_time) AS step_2_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - max(steps) OVER (PARTITION BY aggregation_target, - prop) AS max_steps, - step_1_conversion_time AS step_1_conversion_time, - step_2_conversion_time AS step_2_conversion_time, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - step_2 AS step_2, - latest_2 AS latest_2, - prop AS prop, - if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, - if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, - if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - min(latest_1) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, - step_2 AS step_2, - min(latest_2) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) AS latest_2, - prop AS prop - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - step_2 AS step_2, - latest_2 AS latest_2, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - prop_vals AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(equals(e.event, 'play movie'), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - if(equals(e.event, 'buy'), 1, 0) AS step_2, - if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, - ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT OUTER JOIN - (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, - person_distinct_id_overrides.distinct_id AS distinct_id - FROM person_distinct_id_overrides - WHERE equals(person_distinct_id_overrides.team_id, 2) - GROUP BY person_distinct_id_overrides.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) - LEFT JOIN - (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, - groups.group_type_index AS index, - groups.group_key AS key - FROM groups - WHERE and(equals(groups.team_id, 2), equals(index, 0)) - GROUP BY groups.group_type_index, - groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) - WHERE ifNull(equals(step_0, 1), 0))) - GROUP BY aggregation_target, - steps, - prop - HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) - and isNull(max(max_steps)))) - GROUP BY prop) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.1 - ''' - - SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, - count(*) as count - FROM events e - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND event IN ['buy', 'play movie', 'sign up'] - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - GROUP BY value - ORDER BY count DESC, value DESC - LIMIT 26 - OFFSET 0 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.2 - ''' - - SELECT aggregation_target AS actor_id - FROM - (SELECT aggregation_target, - steps, - avg(step_1_conversion_time) step_1_average_conversion_time_inner, - avg(step_2_conversion_time) step_2_average_conversion_time_inner, - median(step_1_conversion_time) step_1_median_conversion_time_inner, - median(step_2_conversion_time) step_2_median_conversion_time_inner, - prop - FROM - (SELECT aggregation_target, - steps, - max(steps) over (PARTITION BY aggregation_target, - prop) as max_steps, - step_1_conversion_time, - step_2_conversion_time, - prop - FROM - (SELECT *, - if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY - AND latest_1 <= latest_2 - AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, - if(isNotNull(latest_1) - AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, - if(isNotNull(latest_2) - AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time - FROM - (SELECT aggregation_target, timestamp, step_0, - latest_0, - step_1, - min(latest_1) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, - step_2, - min(latest_2) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , - if(has(['technology', 'finance'], prop), prop, 'Other') as prop - FROM - (SELECT *, - prop_vals as prop - FROM - (SELECT e.timestamp as timestamp, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as aggregation_target, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as person_id, - if(event = 'sign up', 1, 0) as step_0, - if(step_0 = 1, timestamp, null) as latest_0, - if(event = 'play movie', 1, 0) as step_1, - if(step_1 = 1, timestamp, null) as latest_1, - if(event = 'buy', 1, 0) as step_2, - if(step_2 = 1, timestamp, null) as latest_2, - replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, - prop_basic as prop, - argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals - FROM events e - LEFT OUTER JOIN - (SELECT distinct_id, - argMax(person_id, version) as person_id - FROM person_distinct_id2 - WHERE team_id = 2 - AND distinct_id IN - (SELECT distinct_id - FROM events - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) - GROUP BY distinct_id - HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - AND (1=1) ))) - WHERE step_0 = 1 )) - GROUP BY aggregation_target, - steps, - prop - HAVING steps = max_steps) - WHERE steps IN [1, 2, 3] - AND arrayFlatten(array(prop)) = arrayFlatten(array('finance')) - ORDER BY aggregation_target - LIMIT 100 - OFFSET 0 SETTINGS max_ast_elements=1000000, - max_expanded_ast_elements=1000000 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.3 - ''' - - SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, - count(*) as count - FROM events e - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND event IN ['buy', 'play movie', 'sign up'] - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - GROUP BY value - ORDER BY count DESC, value DESC - LIMIT 26 - OFFSET 0 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.4 - ''' - - SELECT aggregation_target AS actor_id - FROM - (SELECT aggregation_target, - steps, - avg(step_1_conversion_time) step_1_average_conversion_time_inner, - avg(step_2_conversion_time) step_2_average_conversion_time_inner, - median(step_1_conversion_time) step_1_median_conversion_time_inner, - median(step_2_conversion_time) step_2_median_conversion_time_inner, - prop - FROM - (SELECT aggregation_target, - steps, - max(steps) over (PARTITION BY aggregation_target, - prop) as max_steps, - step_1_conversion_time, - step_2_conversion_time, - prop - FROM - (SELECT *, - if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY - AND latest_1 <= latest_2 - AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, - if(isNotNull(latest_1) - AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, - if(isNotNull(latest_2) - AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time - FROM - (SELECT aggregation_target, timestamp, step_0, - latest_0, - step_1, - min(latest_1) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, - step_2, - min(latest_2) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , - if(has(['technology', 'finance'], prop), prop, 'Other') as prop - FROM - (SELECT *, - prop_vals as prop - FROM - (SELECT e.timestamp as timestamp, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as aggregation_target, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as person_id, - if(event = 'sign up', 1, 0) as step_0, - if(step_0 = 1, timestamp, null) as latest_0, - if(event = 'play movie', 1, 0) as step_1, - if(step_1 = 1, timestamp, null) as latest_1, - if(event = 'buy', 1, 0) as step_2, - if(step_2 = 1, timestamp, null) as latest_2, - replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, - prop_basic as prop, - argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals - FROM events e - LEFT OUTER JOIN - (SELECT distinct_id, - argMax(person_id, version) as person_id - FROM person_distinct_id2 - WHERE team_id = 2 - AND distinct_id IN - (SELECT distinct_id - FROM events - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) - GROUP BY distinct_id - HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - AND (1=1) ))) - WHERE step_0 = 1 )) - GROUP BY aggregation_target, - steps, - prop - HAVING steps = max_steps) - WHERE steps IN [2, 3] - AND arrayFlatten(array(prop)) = arrayFlatten(array('finance')) - ORDER BY aggregation_target - LIMIT 100 - OFFSET 0 SETTINGS max_ast_elements=1000000, - max_expanded_ast_elements=1000000 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.5 - ''' - - SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, - count(*) as count - FROM events e - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND event IN ['buy', 'play movie', 'sign up'] - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - GROUP BY value - ORDER BY count DESC, value DESC - LIMIT 26 - OFFSET 0 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.6 - ''' - - SELECT aggregation_target AS actor_id - FROM - (SELECT aggregation_target, - steps, - avg(step_1_conversion_time) step_1_average_conversion_time_inner, - avg(step_2_conversion_time) step_2_average_conversion_time_inner, - median(step_1_conversion_time) step_1_median_conversion_time_inner, - median(step_2_conversion_time) step_2_median_conversion_time_inner, - prop - FROM - (SELECT aggregation_target, - steps, - max(steps) over (PARTITION BY aggregation_target, - prop) as max_steps, - step_1_conversion_time, - step_2_conversion_time, - prop - FROM - (SELECT *, - if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY - AND latest_1 <= latest_2 - AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, - if(isNotNull(latest_1) - AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, - if(isNotNull(latest_2) - AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time - FROM - (SELECT aggregation_target, timestamp, step_0, - latest_0, - step_1, - min(latest_1) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, - step_2, - min(latest_2) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , - if(has(['technology', 'finance'], prop), prop, 'Other') as prop - FROM - (SELECT *, - prop_vals as prop - FROM - (SELECT e.timestamp as timestamp, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as aggregation_target, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as person_id, - if(event = 'sign up', 1, 0) as step_0, - if(step_0 = 1, timestamp, null) as latest_0, - if(event = 'play movie', 1, 0) as step_1, - if(step_1 = 1, timestamp, null) as latest_1, - if(event = 'buy', 1, 0) as step_2, - if(step_2 = 1, timestamp, null) as latest_2, - replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, - prop_basic as prop, - argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals - FROM events e - LEFT OUTER JOIN - (SELECT distinct_id, - argMax(person_id, version) as person_id - FROM person_distinct_id2 - WHERE team_id = 2 - AND distinct_id IN - (SELECT distinct_id - FROM events - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) - GROUP BY distinct_id - HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - AND (1=1) ))) - WHERE step_0 = 1 )) - GROUP BY aggregation_target, - steps, - prop - HAVING steps = max_steps) - WHERE steps IN [1, 2, 3] - AND arrayFlatten(array(prop)) = arrayFlatten(array('technology')) - ORDER BY aggregation_target - LIMIT 100 - OFFSET 0 SETTINGS max_ast_elements=1000000, - max_expanded_ast_elements=1000000 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.7 - ''' - - SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, - count(*) as count - FROM events e - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND event IN ['buy', 'play movie', 'sign up'] - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - GROUP BY value - ORDER BY count DESC, value DESC - LIMIT 26 - OFFSET 0 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.8 - ''' - - SELECT aggregation_target AS actor_id - FROM - (SELECT aggregation_target, - steps, - avg(step_1_conversion_time) step_1_average_conversion_time_inner, - avg(step_2_conversion_time) step_2_average_conversion_time_inner, - median(step_1_conversion_time) step_1_median_conversion_time_inner, - median(step_2_conversion_time) step_2_median_conversion_time_inner, - prop - FROM - (SELECT aggregation_target, - steps, - max(steps) over (PARTITION BY aggregation_target, - prop) as max_steps, - step_1_conversion_time, - step_2_conversion_time, - prop - FROM - (SELECT *, - if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY - AND latest_1 <= latest_2 - AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, - if(isNotNull(latest_1) - AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, - if(isNotNull(latest_2) - AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time - FROM - (SELECT aggregation_target, timestamp, step_0, - latest_0, - step_1, - min(latest_1) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, - step_2, - min(latest_2) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , - if(has(['technology', 'finance'], prop), prop, 'Other') as prop - FROM - (SELECT *, - prop_vals as prop - FROM - (SELECT e.timestamp as timestamp, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as aggregation_target, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as person_id, - if(event = 'sign up', 1, 0) as step_0, - if(step_0 = 1, timestamp, null) as latest_0, - if(event = 'play movie', 1, 0) as step_1, - if(step_1 = 1, timestamp, null) as latest_1, - if(event = 'buy', 1, 0) as step_2, - if(step_2 = 1, timestamp, null) as latest_2, - replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, - prop_basic as prop, - argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals - FROM events e - LEFT OUTER JOIN - (SELECT distinct_id, - argMax(person_id, version) as person_id - FROM person_distinct_id2 - WHERE team_id = 2 - AND distinct_id IN - (SELECT distinct_id - FROM events - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) - GROUP BY distinct_id - HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - AND (1=1) ))) - WHERE step_0 = 1 )) - GROUP BY aggregation_target, - steps, - prop - HAVING steps = max_steps) - WHERE steps IN [2, 3] - AND arrayFlatten(array(prop)) = arrayFlatten(array('technology')) - ORDER BY aggregation_target - LIMIT 100 - OFFSET 0 SETTINGS max_ast_elements=1000000, - max_expanded_ast_elements=1000000 - ''' -# --- # name: TestFunnelStrictStepsBreakdown.test_funnel_breakdown_correct_breakdown_props_are_chosen ''' SELECT sum(step_1) AS step_1, diff --git a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict_persons_udf.ambr b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict_persons_udf.ambr index 1dd99c28faa3a..a42f48b846b8f 100644 --- a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict_persons_udf.ambr +++ b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict_persons_udf.ambr @@ -8,7 +8,8 @@ (SELECT aggregation_target AS actor_id, matched_events_array[1] AS matching_events FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'strict', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'strict', [[]], arrayFilter((x, i) -> not(and(isNotNull(events_array[minus(i, 1)]), empty(x.4), empty((events_array[minus(i, 1)]).4), ifNull(greater(x.1, (events_array[minus(i, 1)]).1), 0))), events_array, arrayEnumerate(events_array)))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -81,7 +82,8 @@ (SELECT aggregation_target AS actor_id, matched_events_array[2] AS matching_events FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'strict', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'strict', [[]], arrayFilter((x, i) -> not(and(isNotNull(events_array[minus(i, 1)]), empty(x.4), empty((events_array[minus(i, 1)]).4), ifNull(greater(x.1, (events_array[minus(i, 1)]).1), 0))), events_array, arrayEnumerate(events_array)))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -154,7 +156,8 @@ (SELECT aggregation_target AS actor_id, matched_events_array[2] AS matching_events FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'strict', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'strict', [[]], arrayFilter((x, i) -> not(and(isNotNull(events_array[minus(i, 1)]), empty(x.4), empty((events_array[minus(i, 1)]).4), ifNull(greater(x.1, (events_array[minus(i, 1)]).1), 0))), events_array, arrayEnumerate(events_array)))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, diff --git a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict_udf.ambr b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict_udf.ambr index ca74dfd1d449e..4b930a59783d8 100644 --- a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict_udf.ambr +++ b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict_udf.ambr @@ -1,403 +1,62 @@ # serializer version: 1 -# name: BaseTestFunnelStrictStepsBreakdown.test_funnel_breakdown_correct_breakdown_props_are_chosen - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, - if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, - if(ifNull(less(row_number, 26), 0), prop, ['Other']) AS final_prop - FROM - (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, - countIf(ifNull(equals(steps, 2), 0)) AS step_2, - groupArray(step_1_conversion_time) AS step_1_conversion_time_array, - prop AS prop, - row_number() OVER ( - ORDER BY step_2 DESC) AS row_number - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - prop AS prop, - min(step_1_conversion_time) AS step_1_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - max(steps) OVER (PARTITION BY aggregation_target, - prop) AS max_steps, - step_1_conversion_time AS step_1_conversion_time, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop AS prop, - if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1) AS steps, - if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - min(latest_1) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, - prop AS prop - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['']) AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT OUTER JOIN - (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, - person_distinct_id_overrides.distinct_id AS distinct_id - FROM person_distinct_id_overrides - WHERE equals(person_distinct_id_overrides.team_id, 2) - GROUP BY person_distinct_id_overrides.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) - WHERE ifNull(equals(step_0, 1), 0))) - GROUP BY aggregation_target, - steps, - prop - HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) - and isNull(max(max_steps)))) - GROUP BY prop) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: BaseTestFunnelStrictStepsBreakdown.test_funnel_breakdown_correct_breakdown_props_are_chosen_for_step - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, - if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, - if(ifNull(less(row_number, 26), 0), prop, ['Other']) AS final_prop - FROM - (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, - countIf(ifNull(equals(steps, 2), 0)) AS step_2, - groupArray(step_1_conversion_time) AS step_1_conversion_time_array, - prop AS prop, - row_number() OVER ( - ORDER BY step_2 DESC) AS row_number - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - prop AS prop, - min(step_1_conversion_time) AS step_1_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - max(steps) OVER (PARTITION BY aggregation_target, - prop) AS max_steps, - step_1_conversion_time AS step_1_conversion_time, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop AS prop, - if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1) AS steps, - if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - min(latest_1) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, - prop AS prop - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop_basic AS prop_basic, - prop_0 AS prop_0, - prop_1 AS prop_1, - prop, - prop_vals AS prop_vals, - prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, - if(ifNull(equals(step_0, 1), 0), prop_basic, []) AS prop_0, - if(ifNull(equals(step_1, 1), 0), prop_basic, []) AS prop_1, - prop_1 AS prop, - groupUniqArray(prop) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT OUTER JOIN - (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, - person_distinct_id_overrides.distinct_id AS distinct_id - FROM person_distinct_id_overrides - WHERE equals(person_distinct_id_overrides.team_id, 2) - GROUP BY person_distinct_id_overrides.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))) ARRAY - JOIN prop_vals AS prop - WHERE ifNull(notEquals(prop, []), isNotNull(prop) - or isNotNull([])))) - WHERE ifNull(equals(step_0, 1), 0))) - GROUP BY aggregation_target, - steps, - prop - HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) - and isNull(max(max_steps)))) - GROUP BY prop) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: BaseTestFunnelStrictStepsBreakdown.test_funnel_step_multiple_breakdown_snapshot - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, - if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, - if(ifNull(less(row_number, 26), 0), prop, ['Other']) AS final_prop - FROM - (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, - countIf(ifNull(equals(steps, 2), 0)) AS step_2, - groupArray(step_1_conversion_time) AS step_1_conversion_time_array, - prop AS prop, - row_number() OVER ( - ORDER BY step_2 DESC) AS row_number - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - prop AS prop, - min(step_1_conversion_time) AS step_1_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - max(steps) OVER (PARTITION BY aggregation_target, - prop) AS max_steps, - step_1_conversion_time AS step_1_conversion_time, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop AS prop, - if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1) AS steps, - if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - min(latest_1) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, - prop AS prop - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['', '']) AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(equals(e.event, 'buy'), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), ''), ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT OUTER JOIN - (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, - person_distinct_id_overrides.distinct_id AS distinct_id - FROM person_distinct_id_overrides - WHERE equals(person_distinct_id_overrides.team_id, 2) - GROUP BY person_distinct_id_overrides.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) - WHERE ifNull(equals(step_0, 1), 0))) - GROUP BY aggregation_target, - steps, - prop - HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) - and isNull(max(max_steps)))) - GROUP BY prop) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_aggregate_by_groups_breakdown_group_person_on_events +# name: TestFunnelStrictStepsBreakdownUDF.test_funnel_breakdown_correct_breakdown_props_are_chosen ''' SELECT sum(step_1) AS step_1, sum(step_2) AS step_2, - sum(step_3) AS step_3, - if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, - if(isNaN(avgArrayOrNull(step_2_conversion_time_array) AS inter_2_conversion), NULL, inter_2_conversion) AS step_2_average_conversion_time, - if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, - if(isNaN(medianArrayOrNull(step_2_conversion_time_array) AS inter_2_median), NULL, inter_2_median) AS step_2_median_conversion_time, - if(ifNull(less(row_number, 26), 0), prop, 'Other') AS final_prop + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop FROM - (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, - countIf(ifNull(equals(steps, 2), 0)) AS step_2, - countIf(ifNull(equals(steps, 3), 0)) AS step_3, - groupArray(step_1_conversion_time) AS step_1_conversion_time_array, - groupArray(step_2_conversion_time) AS step_2_conversion_time_array, - prop AS prop, - row_number() OVER ( - ORDER BY step_3 DESC) AS row_number + (SELECT countIf(ifNull(ifNull(equals(step_reached, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(step_reached, 1), 0), 0)) AS step_2, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + rowNumberInBlock() AS row_number, + if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - prop AS prop, - min(step_1_conversion_time) AS step_1_conversion_time, - min(step_2_conversion_time) AS step_2_conversion_time + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arrayFilter((x, i) -> not(and(isNotNull(events_array[minus(i, 1)]), empty(x.4), empty((events_array[minus(i, 1)]).4), ifNull(greater(x.1, (events_array[minus(i, 1)]).1), 0))), events_array, arrayEnumerate(events_array)))) AS af_tuple, + af_tuple.1 AS step_reached, + plus(af_tuple.1, 1) AS steps, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings, + aggregation_target AS aggregation_target FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - max(steps) OVER (PARTITION BY aggregation_target, - prop) AS max_steps, - step_1_conversion_time AS step_1_conversion_time, - step_2_conversion_time AS step_2_conversion_time, - prop AS prop + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + uuid AS uuid, + `$session_id` AS `$session_id`, + `$window_id` AS `$window_id`, + step_0 AS step_0, + step_1 AS step_1, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['']) AS prop FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - step_2 AS step_2, - latest_2 AS latest_2, - prop AS prop, - if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, - if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, - if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - min(latest_1) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, - step_2 AS step_2, - min(latest_2) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) AS latest_2, - prop AS prop - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - step_2 AS step_2, - latest_2 AS latest_2, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - prop_vals AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - e.`$group_0` AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(equals(e.event, 'play movie'), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - if(equals(e.event, 'buy'), 1, 0) AS step_2, - if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, - ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT JOIN - (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, - groups.group_type_index AS index, - groups.group_key AS key - FROM groups - WHERE and(equals(groups.team_id, 2), equals(index, 0)) - GROUP BY groups.group_type_index, - groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) - WHERE ifNull(equals(step_0, 1), 0))) - GROUP BY aggregation_target, - steps, - prop - HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) - and isNull(max(max_steps)))) - GROUP BY prop) + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, + e.uuid AS uuid, + e.`$session_id` AS `$session_id`, + e.`$window_id` AS `$window_id`, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, + [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + LEFT OUTER JOIN + (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, + person_distinct_id_overrides.distinct_id AS distinct_id + FROM person_distinct_id_overrides + WHERE equals(person_distinct_id_overrides.team_id, 2) + GROUP BY person_distinct_id_overrides.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC')))))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(step_reached, 0), 0)) + GROUP BY breakdown + ORDER BY step_2 DESC, step_1 DESC) GROUP BY final_prop LIMIT 100 SETTINGS readonly=2, max_execution_time=60, @@ -409,110 +68,71 @@ allow_experimental_analyzer=1 ''' # --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_aggregate_by_groups_breakdown_group_person_on_events_poe_v2 +# name: TestFunnelStrictStepsBreakdownUDF.test_funnel_breakdown_correct_breakdown_props_are_chosen_for_step ''' SELECT sum(step_1) AS step_1, sum(step_2) AS step_2, - sum(step_3) AS step_3, - if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, - if(isNaN(avgArrayOrNull(step_2_conversion_time_array) AS inter_2_conversion), NULL, inter_2_conversion) AS step_2_average_conversion_time, - if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, - if(isNaN(medianArrayOrNull(step_2_conversion_time_array) AS inter_2_median), NULL, inter_2_median) AS step_2_median_conversion_time, - if(ifNull(less(row_number, 26), 0), prop, 'Other') AS final_prop + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop FROM - (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, - countIf(ifNull(equals(steps, 2), 0)) AS step_2, - countIf(ifNull(equals(steps, 3), 0)) AS step_3, - groupArray(step_1_conversion_time) AS step_1_conversion_time_array, - groupArray(step_2_conversion_time) AS step_2_conversion_time_array, - prop AS prop, - row_number() OVER ( - ORDER BY step_3 DESC) AS row_number + (SELECT countIf(ifNull(ifNull(equals(step_reached, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(step_reached, 1), 0), 0)) AS step_2, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + rowNumberInBlock() AS row_number, + if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - prop AS prop, - min(step_1_conversion_time) AS step_1_conversion_time, - min(step_2_conversion_time) AS step_2_conversion_time + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'step_1', 'strict', groupUniqArray(prop), arrayFilter((x, i) -> not(and(isNotNull(events_array[minus(i, 1)]), empty(x.4), empty((events_array[minus(i, 1)]).4), ifNull(greater(x.1, (events_array[minus(i, 1)]).1), 0))), events_array, arrayEnumerate(events_array)))) AS af_tuple, + af_tuple.1 AS step_reached, + plus(af_tuple.1, 1) AS steps, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings, + aggregation_target AS aggregation_target FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - max(steps) OVER (PARTITION BY aggregation_target, - prop) AS max_steps, - step_1_conversion_time AS step_1_conversion_time, - step_2_conversion_time AS step_2_conversion_time, - prop AS prop + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + uuid AS uuid, + `$session_id` AS `$session_id`, + `$window_id` AS `$window_id`, + step_0 AS step_0, + step_1 AS step_1, + prop_basic AS prop_basic, + prop_0 AS prop_0, + prop_1 AS prop_1, + prop, + prop_vals AS prop_vals, + prop FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - step_2 AS step_2, - latest_2 AS latest_2, - prop AS prop, - if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, - if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, - if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - min(latest_1) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, - step_2 AS step_2, - min(latest_2) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) AS latest_2, - prop AS prop - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - step_2 AS step_2, - latest_2 AS latest_2, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - prop_vals AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - e.`$group_0` AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(equals(e.event, 'play movie'), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - if(equals(e.event, 'buy'), 1, 0) AS step_2, - if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, - ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT JOIN - (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, - groups.group_type_index AS index, - groups.group_key AS key - FROM groups - WHERE and(equals(groups.team_id, 2), equals(index, 0)) - GROUP BY groups.group_type_index, - groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) - WHERE ifNull(equals(step_0, 1), 0))) - GROUP BY aggregation_target, - steps, - prop - HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) - and isNull(max(max_steps)))) - GROUP BY prop) + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, + e.uuid AS uuid, + e.`$session_id` AS `$session_id`, + e.`$window_id` AS `$window_id`, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, + [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, + if(ifNull(equals(step_0, 1), 0), prop_basic, []) AS prop_0, + if(ifNull(equals(step_1, 1), 0), prop_basic, []) AS prop_1, + prop_1 AS prop, + groupUniqArray(prop) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + LEFT OUTER JOIN + (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, + person_distinct_id_overrides.distinct_id AS distinct_id + FROM person_distinct_id_overrides + WHERE equals(person_distinct_id_overrides.team_id, 2) + GROUP BY person_distinct_id_overrides.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))) ARRAY + JOIN prop_vals AS prop + WHERE ifNull(notEquals(prop, []), isNotNull(prop) + or isNotNull([]))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(step_reached, 0), 0)) + GROUP BY breakdown + ORDER BY step_2 DESC, step_1 DESC) GROUP BY final_prop LIMIT 100 SETTINGS readonly=2, max_execution_time=60, @@ -524,117 +144,64 @@ allow_experimental_analyzer=1 ''' # --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group +# name: TestFunnelStrictStepsBreakdownUDF.test_funnel_step_multiple_breakdown_snapshot ''' SELECT sum(step_1) AS step_1, sum(step_2) AS step_2, - sum(step_3) AS step_3, - if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, - if(isNaN(avgArrayOrNull(step_2_conversion_time_array) AS inter_2_conversion), NULL, inter_2_conversion) AS step_2_average_conversion_time, - if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, - if(isNaN(medianArrayOrNull(step_2_conversion_time_array) AS inter_2_median), NULL, inter_2_median) AS step_2_median_conversion_time, - if(ifNull(less(row_number, 26), 0), prop, 'Other') AS final_prop + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop FROM - (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, - countIf(ifNull(equals(steps, 2), 0)) AS step_2, - countIf(ifNull(equals(steps, 3), 0)) AS step_3, - groupArray(step_1_conversion_time) AS step_1_conversion_time_array, - groupArray(step_2_conversion_time) AS step_2_conversion_time_array, - prop AS prop, - row_number() OVER ( - ORDER BY step_3 DESC) AS row_number + (SELECT countIf(ifNull(ifNull(equals(step_reached, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(step_reached, 1), 0), 0)) AS step_2, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + rowNumberInBlock() AS row_number, + if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - prop AS prop, - min(step_1_conversion_time) AS step_1_conversion_time, - min(step_2_conversion_time) AS step_2_conversion_time + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arrayFilter((x, i) -> not(and(isNotNull(events_array[minus(i, 1)]), empty(x.4), empty((events_array[minus(i, 1)]).4), ifNull(greater(x.1, (events_array[minus(i, 1)]).1), 0))), events_array, arrayEnumerate(events_array)))) AS af_tuple, + af_tuple.1 AS step_reached, + plus(af_tuple.1, 1) AS steps, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings, + aggregation_target AS aggregation_target FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - max(steps) OVER (PARTITION BY aggregation_target, - prop) AS max_steps, - step_1_conversion_time AS step_1_conversion_time, - step_2_conversion_time AS step_2_conversion_time, - prop AS prop + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + uuid AS uuid, + `$session_id` AS `$session_id`, + `$window_id` AS `$window_id`, + step_0 AS step_0, + step_1 AS step_1, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['', '']) AS prop FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - step_2 AS step_2, - latest_2 AS latest_2, - prop AS prop, - if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, - if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, - if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - min(latest_1) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, - step_2 AS step_2, - min(latest_2) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) AS latest_2, - prop AS prop - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - step_2 AS step_2, - latest_2 AS latest_2, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - prop_vals AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(equals(e.event, 'play movie'), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - if(equals(e.event, 'buy'), 1, 0) AS step_2, - if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, - ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT OUTER JOIN - (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, - person_distinct_id_overrides.distinct_id AS distinct_id - FROM person_distinct_id_overrides - WHERE equals(person_distinct_id_overrides.team_id, 2) - GROUP BY person_distinct_id_overrides.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) - LEFT JOIN - (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, - groups.group_type_index AS index, - groups.group_key AS key - FROM groups - WHERE and(equals(groups.team_id, 2), equals(index, 0)) - GROUP BY groups.group_type_index, - groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) - WHERE ifNull(equals(step_0, 1), 0))) - GROUP BY aggregation_target, - steps, - prop - HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) - and isNull(max(max_steps)))) - GROUP BY prop) + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, + e.uuid AS uuid, + e.`$session_id` AS `$session_id`, + e.`$window_id` AS `$window_id`, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(equals(e.event, 'buy'), 1, 0) AS step_1, + [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), ''), ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + LEFT OUTER JOIN + (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, + person_distinct_id_overrides.distinct_id AS distinct_id + FROM person_distinct_id_overrides + WHERE equals(person_distinct_id_overrides.team_id, 2) + GROUP BY person_distinct_id_overrides.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC')))))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(step_reached, 0), 0)) + GROUP BY breakdown + ORDER BY step_2 DESC, step_1 DESC) GROUP BY final_prop LIMIT 100 SETTINGS readonly=2, max_execution_time=60, @@ -646,1635 +213,6 @@ allow_experimental_analyzer=1 ''' # --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.1 - ''' - - SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, - count(*) as count - FROM events e - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND event IN ['buy', 'play movie', 'sign up'] - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - GROUP BY value - ORDER BY count DESC, value DESC - LIMIT 26 - OFFSET 0 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.2 - ''' - - SELECT aggregation_target AS actor_id - FROM - (SELECT aggregation_target, - steps, - avg(step_1_conversion_time) step_1_average_conversion_time_inner, - avg(step_2_conversion_time) step_2_average_conversion_time_inner, - median(step_1_conversion_time) step_1_median_conversion_time_inner, - median(step_2_conversion_time) step_2_median_conversion_time_inner, - prop - FROM - (SELECT aggregation_target, - steps, - max(steps) over (PARTITION BY aggregation_target, - prop) as max_steps, - step_1_conversion_time, - step_2_conversion_time, - prop - FROM - (SELECT *, - if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY - AND latest_1 <= latest_2 - AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, - if(isNotNull(latest_1) - AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, - if(isNotNull(latest_2) - AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time - FROM - (SELECT aggregation_target, timestamp, step_0, - latest_0, - step_1, - min(latest_1) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, - step_2, - min(latest_2) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , - if(has(['technology', 'finance'], prop), prop, 'Other') as prop - FROM - (SELECT *, - prop_vals as prop - FROM - (SELECT e.timestamp as timestamp, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as aggregation_target, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as person_id, - if(event = 'sign up', 1, 0) as step_0, - if(step_0 = 1, timestamp, null) as latest_0, - if(event = 'play movie', 1, 0) as step_1, - if(step_1 = 1, timestamp, null) as latest_1, - if(event = 'buy', 1, 0) as step_2, - if(step_2 = 1, timestamp, null) as latest_2, - replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, - prop_basic as prop, - argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals - FROM events e - LEFT OUTER JOIN - (SELECT distinct_id, - argMax(person_id, version) as person_id - FROM person_distinct_id2 - WHERE team_id = 2 - AND distinct_id IN - (SELECT distinct_id - FROM events - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) - GROUP BY distinct_id - HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - AND (1=1) ))) - WHERE step_0 = 1 )) - GROUP BY aggregation_target, - steps, - prop - HAVING steps = max_steps) - WHERE steps IN [1, 2, 3] - AND arrayFlatten(array(prop)) = arrayFlatten(array('finance')) - ORDER BY aggregation_target - LIMIT 100 - OFFSET 0 SETTINGS max_ast_elements=1000000, - max_expanded_ast_elements=1000000 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.3 - ''' - - SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, - count(*) as count - FROM events e - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND event IN ['buy', 'play movie', 'sign up'] - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - GROUP BY value - ORDER BY count DESC, value DESC - LIMIT 26 - OFFSET 0 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.4 - ''' - - SELECT aggregation_target AS actor_id - FROM - (SELECT aggregation_target, - steps, - avg(step_1_conversion_time) step_1_average_conversion_time_inner, - avg(step_2_conversion_time) step_2_average_conversion_time_inner, - median(step_1_conversion_time) step_1_median_conversion_time_inner, - median(step_2_conversion_time) step_2_median_conversion_time_inner, - prop - FROM - (SELECT aggregation_target, - steps, - max(steps) over (PARTITION BY aggregation_target, - prop) as max_steps, - step_1_conversion_time, - step_2_conversion_time, - prop - FROM - (SELECT *, - if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY - AND latest_1 <= latest_2 - AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, - if(isNotNull(latest_1) - AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, - if(isNotNull(latest_2) - AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time - FROM - (SELECT aggregation_target, timestamp, step_0, - latest_0, - step_1, - min(latest_1) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, - step_2, - min(latest_2) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , - if(has(['technology', 'finance'], prop), prop, 'Other') as prop - FROM - (SELECT *, - prop_vals as prop - FROM - (SELECT e.timestamp as timestamp, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as aggregation_target, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as person_id, - if(event = 'sign up', 1, 0) as step_0, - if(step_0 = 1, timestamp, null) as latest_0, - if(event = 'play movie', 1, 0) as step_1, - if(step_1 = 1, timestamp, null) as latest_1, - if(event = 'buy', 1, 0) as step_2, - if(step_2 = 1, timestamp, null) as latest_2, - replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, - prop_basic as prop, - argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals - FROM events e - LEFT OUTER JOIN - (SELECT distinct_id, - argMax(person_id, version) as person_id - FROM person_distinct_id2 - WHERE team_id = 2 - AND distinct_id IN - (SELECT distinct_id - FROM events - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) - GROUP BY distinct_id - HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - AND (1=1) ))) - WHERE step_0 = 1 )) - GROUP BY aggregation_target, - steps, - prop - HAVING steps = max_steps) - WHERE steps IN [2, 3] - AND arrayFlatten(array(prop)) = arrayFlatten(array('finance')) - ORDER BY aggregation_target - LIMIT 100 - OFFSET 0 SETTINGS max_ast_elements=1000000, - max_expanded_ast_elements=1000000 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.5 - ''' - - SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, - count(*) as count - FROM events e - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND event IN ['buy', 'play movie', 'sign up'] - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - GROUP BY value - ORDER BY count DESC, value DESC - LIMIT 26 - OFFSET 0 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.6 - ''' - - SELECT aggregation_target AS actor_id - FROM - (SELECT aggregation_target, - steps, - avg(step_1_conversion_time) step_1_average_conversion_time_inner, - avg(step_2_conversion_time) step_2_average_conversion_time_inner, - median(step_1_conversion_time) step_1_median_conversion_time_inner, - median(step_2_conversion_time) step_2_median_conversion_time_inner, - prop - FROM - (SELECT aggregation_target, - steps, - max(steps) over (PARTITION BY aggregation_target, - prop) as max_steps, - step_1_conversion_time, - step_2_conversion_time, - prop - FROM - (SELECT *, - if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY - AND latest_1 <= latest_2 - AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, - if(isNotNull(latest_1) - AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, - if(isNotNull(latest_2) - AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time - FROM - (SELECT aggregation_target, timestamp, step_0, - latest_0, - step_1, - min(latest_1) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, - step_2, - min(latest_2) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , - if(has(['technology', 'finance'], prop), prop, 'Other') as prop - FROM - (SELECT *, - prop_vals as prop - FROM - (SELECT e.timestamp as timestamp, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as aggregation_target, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as person_id, - if(event = 'sign up', 1, 0) as step_0, - if(step_0 = 1, timestamp, null) as latest_0, - if(event = 'play movie', 1, 0) as step_1, - if(step_1 = 1, timestamp, null) as latest_1, - if(event = 'buy', 1, 0) as step_2, - if(step_2 = 1, timestamp, null) as latest_2, - replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, - prop_basic as prop, - argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals - FROM events e - LEFT OUTER JOIN - (SELECT distinct_id, - argMax(person_id, version) as person_id - FROM person_distinct_id2 - WHERE team_id = 2 - AND distinct_id IN - (SELECT distinct_id - FROM events - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) - GROUP BY distinct_id - HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - AND (1=1) ))) - WHERE step_0 = 1 )) - GROUP BY aggregation_target, - steps, - prop - HAVING steps = max_steps) - WHERE steps IN [1, 2, 3] - AND arrayFlatten(array(prop)) = arrayFlatten(array('technology')) - ORDER BY aggregation_target - LIMIT 100 - OFFSET 0 SETTINGS max_ast_elements=1000000, - max_expanded_ast_elements=1000000 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.7 - ''' - - SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, - count(*) as count - FROM events e - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND event IN ['buy', 'play movie', 'sign up'] - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - GROUP BY value - ORDER BY count DESC, value DESC - LIMIT 26 - OFFSET 0 - ''' -# --- -# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.8 - ''' - - SELECT aggregation_target AS actor_id - FROM - (SELECT aggregation_target, - steps, - avg(step_1_conversion_time) step_1_average_conversion_time_inner, - avg(step_2_conversion_time) step_2_average_conversion_time_inner, - median(step_1_conversion_time) step_1_median_conversion_time_inner, - median(step_2_conversion_time) step_2_median_conversion_time_inner, - prop - FROM - (SELECT aggregation_target, - steps, - max(steps) over (PARTITION BY aggregation_target, - prop) as max_steps, - step_1_conversion_time, - step_2_conversion_time, - prop - FROM - (SELECT *, - if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY - AND latest_1 <= latest_2 - AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, - if(isNotNull(latest_1) - AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, - if(isNotNull(latest_2) - AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time - FROM - (SELECT aggregation_target, timestamp, step_0, - latest_0, - step_1, - min(latest_1) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, - step_2, - min(latest_2) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , - if(has(['technology', 'finance'], prop), prop, 'Other') as prop - FROM - (SELECT *, - prop_vals as prop - FROM - (SELECT e.timestamp as timestamp, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as aggregation_target, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as person_id, - if(event = 'sign up', 1, 0) as step_0, - if(step_0 = 1, timestamp, null) as latest_0, - if(event = 'play movie', 1, 0) as step_1, - if(step_1 = 1, timestamp, null) as latest_1, - if(event = 'buy', 1, 0) as step_2, - if(step_2 = 1, timestamp, null) as latest_2, - replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, - prop_basic as prop, - argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals - FROM events e - LEFT OUTER JOIN - (SELECT distinct_id, - argMax(person_id, version) as person_id - FROM person_distinct_id2 - WHERE team_id = 2 - AND distinct_id IN - (SELECT distinct_id - FROM events - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) - GROUP BY distinct_id - HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - AND (1=1) ))) - WHERE step_0 = 1 )) - GROUP BY aggregation_target, - steps, - prop - HAVING steps = max_steps) - WHERE steps IN [2, 3] - AND arrayFlatten(array(prop)) = arrayFlatten(array('technology')) - ORDER BY aggregation_target - LIMIT 100 - OFFSET 0 SETTINGS max_ast_elements=1000000, - max_expanded_ast_elements=1000000 - ''' -# --- -# name: TestFunnelStrictStepsBreakdown.test_funnel_breakdown_correct_breakdown_props_are_chosen - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, - arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, - groupArray(row_number) AS row_number, - final_prop AS final_prop - FROM - (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, - countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, - groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, - rowNumberInBlock() AS row_number, - if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop - FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, - af_tuple.1 AS af, - af_tuple.2 AS breakdown, - af_tuple.3 AS timings - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - exclusion_0 AS exclusion_0, - exclusion_1 AS exclusion_1, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['']) AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - 0 AS exclusion_0, - 0 AS exclusion_1, - [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT OUTER JOIN - (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, - person_distinct_id_overrides.distinct_id AS distinct_id - FROM person_distinct_id_overrides - WHERE equals(person_distinct_id_overrides.team_id, 2) - GROUP BY person_distinct_id_overrides.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC')))))) - GROUP BY aggregation_target - HAVING ifNull(greaterOrEquals(af, 0), 0)) - GROUP BY breakdown - ORDER BY step_2 DESC, step_1 DESC) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: TestFunnelStrictStepsBreakdown.test_funnel_breakdown_correct_breakdown_props_are_chosen_for_step - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, - arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, - groupArray(row_number) AS row_number, - final_prop AS final_prop - FROM - (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, - countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, - groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, - rowNumberInBlock() AS row_number, - if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop - FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'step_1', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, - af_tuple.1 AS af, - af_tuple.2 AS breakdown, - af_tuple.3 AS timings - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - exclusion_0 AS exclusion_0, - exclusion_1 AS exclusion_1, - prop_basic AS prop_basic, - prop_0 AS prop_0, - prop_1 AS prop_1, - prop, - prop_vals AS prop_vals, - prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - 0 AS exclusion_0, - 0 AS exclusion_1, - [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, - if(ifNull(equals(step_0, 1), 0), prop_basic, []) AS prop_0, - if(ifNull(equals(step_1, 1), 0), prop_basic, []) AS prop_1, - prop_1 AS prop, - groupUniqArray(prop) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT OUTER JOIN - (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, - person_distinct_id_overrides.distinct_id AS distinct_id - FROM person_distinct_id_overrides - WHERE equals(person_distinct_id_overrides.team_id, 2) - GROUP BY person_distinct_id_overrides.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))) ARRAY - JOIN prop_vals AS prop - WHERE ifNull(notEquals(prop, []), isNotNull(prop) - or isNotNull([]))) - GROUP BY aggregation_target - HAVING ifNull(greaterOrEquals(af, 0), 0)) - GROUP BY breakdown - ORDER BY step_2 DESC, step_1 DESC) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: TestFunnelStrictStepsBreakdown.test_funnel_step_multiple_breakdown_snapshot - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, - arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, - groupArray(row_number) AS row_number, - final_prop AS final_prop - FROM - (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, - countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, - groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, - rowNumberInBlock() AS row_number, - if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop - FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, - af_tuple.1 AS af, - af_tuple.2 AS breakdown, - af_tuple.3 AS timings - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - exclusion_0 AS exclusion_0, - exclusion_1 AS exclusion_1, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['', '']) AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(equals(e.event, 'buy'), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - 0 AS exclusion_0, - 0 AS exclusion_1, - [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), ''), ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT OUTER JOIN - (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, - person_distinct_id_overrides.distinct_id AS distinct_id - FROM person_distinct_id_overrides - WHERE equals(person_distinct_id_overrides.team_id, 2) - GROUP BY person_distinct_id_overrides.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC')))))) - GROUP BY aggregation_target - HAVING ifNull(greaterOrEquals(af, 0), 0)) - GROUP BY breakdown - ORDER BY step_2 DESC, step_1 DESC) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: TestFunnelStrictStepsBreakdownUDF.test_funnel_breakdown_correct_breakdown_props_are_chosen - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, - arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, - groupArray(row_number) AS row_number, - final_prop AS final_prop - FROM - (SELECT countIf(ifNull(ifNull(equals(step_reached, 0), 0), 0)) AS step_1, - countIf(ifNull(ifNull(equals(step_reached, 1), 0), 0)) AS step_2, - groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, - rowNumberInBlock() AS row_number, - if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop - FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, - af_tuple.1 AS step_reached, - plus(af_tuple.1, 1) AS steps, - af_tuple.2 AS breakdown, - af_tuple.3 AS timings, - aggregation_target AS aggregation_target - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - uuid AS uuid, - `$session_id` AS `$session_id`, - `$window_id` AS `$window_id`, - step_0 AS step_0, - step_1 AS step_1, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['']) AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, - e.uuid AS uuid, - e.`$session_id` AS `$session_id`, - e.`$window_id` AS `$window_id`, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, - [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT OUTER JOIN - (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, - person_distinct_id_overrides.distinct_id AS distinct_id - FROM person_distinct_id_overrides - WHERE equals(person_distinct_id_overrides.team_id, 2) - GROUP BY person_distinct_id_overrides.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC')))))) - GROUP BY aggregation_target - HAVING ifNull(greaterOrEquals(step_reached, 0), 0)) - GROUP BY breakdown - ORDER BY step_2 DESC, step_1 DESC) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: TestFunnelStrictStepsBreakdownUDF.test_funnel_breakdown_correct_breakdown_props_are_chosen_for_step - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, - arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, - groupArray(row_number) AS row_number, - final_prop AS final_prop - FROM - (SELECT countIf(ifNull(ifNull(equals(step_reached, 0), 0), 0)) AS step_1, - countIf(ifNull(ifNull(equals(step_reached, 1), 0), 0)) AS step_2, - groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, - rowNumberInBlock() AS row_number, - if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop - FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'step_1', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, - af_tuple.1 AS step_reached, - plus(af_tuple.1, 1) AS steps, - af_tuple.2 AS breakdown, - af_tuple.3 AS timings, - aggregation_target AS aggregation_target - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - uuid AS uuid, - `$session_id` AS `$session_id`, - `$window_id` AS `$window_id`, - step_0 AS step_0, - step_1 AS step_1, - prop_basic AS prop_basic, - prop_0 AS prop_0, - prop_1 AS prop_1, - prop, - prop_vals AS prop_vals, - prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, - e.uuid AS uuid, - e.`$session_id` AS `$session_id`, - e.`$window_id` AS `$window_id`, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, - [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, - if(ifNull(equals(step_0, 1), 0), prop_basic, []) AS prop_0, - if(ifNull(equals(step_1, 1), 0), prop_basic, []) AS prop_1, - prop_1 AS prop, - groupUniqArray(prop) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT OUTER JOIN - (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, - person_distinct_id_overrides.distinct_id AS distinct_id - FROM person_distinct_id_overrides - WHERE equals(person_distinct_id_overrides.team_id, 2) - GROUP BY person_distinct_id_overrides.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))) ARRAY - JOIN prop_vals AS prop - WHERE ifNull(notEquals(prop, []), isNotNull(prop) - or isNotNull([]))) - GROUP BY aggregation_target - HAVING ifNull(greaterOrEquals(step_reached, 0), 0)) - GROUP BY breakdown - ORDER BY step_2 DESC, step_1 DESC) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: TestFunnelStrictStepsBreakdownUDF.test_funnel_step_multiple_breakdown_snapshot - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, - arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, - groupArray(row_number) AS row_number, - final_prop AS final_prop - FROM - (SELECT countIf(ifNull(ifNull(equals(step_reached, 0), 0), 0)) AS step_1, - countIf(ifNull(ifNull(equals(step_reached, 1), 0), 0)) AS step_2, - groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, - rowNumberInBlock() AS row_number, - if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop - FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, - af_tuple.1 AS step_reached, - plus(af_tuple.1, 1) AS steps, - af_tuple.2 AS breakdown, - af_tuple.3 AS timings, - aggregation_target AS aggregation_target - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - uuid AS uuid, - `$session_id` AS `$session_id`, - `$window_id` AS `$window_id`, - step_0 AS step_0, - step_1 AS step_1, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['', '']) AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, - e.uuid AS uuid, - e.`$session_id` AS `$session_id`, - e.`$window_id` AS `$window_id`, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(equals(e.event, 'buy'), 1, 0) AS step_1, - [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), ''), ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT OUTER JOIN - (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, - person_distinct_id_overrides.distinct_id AS distinct_id - FROM person_distinct_id_overrides - WHERE equals(person_distinct_id_overrides.team_id, 2) - GROUP BY person_distinct_id_overrides.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC')))))) - GROUP BY aggregation_target - HAVING ifNull(greaterOrEquals(step_reached, 0), 0)) - GROUP BY breakdown - ORDER BY step_2 DESC, step_1 DESC) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: TestStrictFunnelGroupBreakdown.test_funnel_aggregate_by_groups_breakdown_group_person_on_events - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - sum(step_3) AS step_3, - arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, - arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_2_conversion_times)])[1] AS step_2_average_conversion_time, - arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, - arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_2_conversion_times)])[1] AS step_2_median_conversion_time, - groupArray(row_number) AS row_number, - final_prop AS final_prop - FROM - (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, - countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, - countIf(ifNull(ifNull(equals(af, 2), 0), 0)) AS step_3, - groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, - groupArrayIf(timings[2], ifNull(greater(timings[2], 0), 0)) AS step_2_conversion_times, - rowNumberInBlock() AS row_number, - if(ifNull(less(row_number, 25), 0), breakdown, 'Other') AS final_prop - FROM - (SELECT arrayJoin(aggregate_funnel_v0(3, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, - af_tuple.1 AS af, - af_tuple.2 AS breakdown, - af_tuple.3 AS timings - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - step_2 AS step_2, - latest_2 AS latest_2, - exclusion_0 AS exclusion_0, - exclusion_1 AS exclusion_1, - exclusion_2 AS exclusion_2, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - prop_vals AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - e.`$group_0` AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(equals(e.event, 'play movie'), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - if(equals(e.event, 'buy'), 1, 0) AS step_2, - if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, - 0 AS exclusion_0, - 0 AS exclusion_1, - 0 AS exclusion_2, - ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT JOIN - (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, - groups.group_type_index AS index, - groups.group_key AS key - FROM groups - WHERE and(equals(groups.team_id, 2), equals(index, 0)) - GROUP BY groups.group_type_index, - groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC')))))) - GROUP BY aggregation_target - HAVING ifNull(greaterOrEquals(af, 0), 0)) - GROUP BY breakdown - ORDER BY step_3 DESC, step_2 DESC, step_1 DESC) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: TestStrictFunnelGroupBreakdown.test_funnel_aggregate_by_groups_breakdown_group_person_on_events_poe_v2 - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - sum(step_3) AS step_3, - arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, - arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_2_conversion_times)])[1] AS step_2_average_conversion_time, - arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, - arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_2_conversion_times)])[1] AS step_2_median_conversion_time, - groupArray(row_number) AS row_number, - final_prop AS final_prop - FROM - (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, - countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, - countIf(ifNull(ifNull(equals(af, 2), 0), 0)) AS step_3, - groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, - groupArrayIf(timings[2], ifNull(greater(timings[2], 0), 0)) AS step_2_conversion_times, - rowNumberInBlock() AS row_number, - if(ifNull(less(row_number, 25), 0), breakdown, 'Other') AS final_prop - FROM - (SELECT arrayJoin(aggregate_funnel_v0(3, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, - af_tuple.1 AS af, - af_tuple.2 AS breakdown, - af_tuple.3 AS timings - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - step_2 AS step_2, - latest_2 AS latest_2, - exclusion_0 AS exclusion_0, - exclusion_1 AS exclusion_1, - exclusion_2 AS exclusion_2, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - prop_vals AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - e.`$group_0` AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(equals(e.event, 'play movie'), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - if(equals(e.event, 'buy'), 1, 0) AS step_2, - if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, - 0 AS exclusion_0, - 0 AS exclusion_1, - 0 AS exclusion_2, - ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT JOIN - (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, - groups.group_type_index AS index, - groups.group_key AS key - FROM groups - WHERE and(equals(groups.team_id, 2), equals(index, 0)) - GROUP BY groups.group_type_index, - groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC')))))) - GROUP BY aggregation_target - HAVING ifNull(greaterOrEquals(af, 0), 0)) - GROUP BY breakdown - ORDER BY step_3 DESC, step_2 DESC, step_1 DESC) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group - ''' - SELECT sum(step_1) AS step_1, - sum(step_2) AS step_2, - sum(step_3) AS step_3, - arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, - arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_2_conversion_times)])[1] AS step_2_average_conversion_time, - arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, - arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_2_conversion_times)])[1] AS step_2_median_conversion_time, - groupArray(row_number) AS row_number, - final_prop AS final_prop - FROM - (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, - countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, - countIf(ifNull(ifNull(equals(af, 2), 0), 0)) AS step_3, - groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, - groupArrayIf(timings[2], ifNull(greater(timings[2], 0), 0)) AS step_2_conversion_times, - rowNumberInBlock() AS row_number, - if(ifNull(less(row_number, 25), 0), breakdown, 'Other') AS final_prop - FROM - (SELECT arrayJoin(aggregate_funnel_v0(3, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, - af_tuple.1 AS af, - af_tuple.2 AS breakdown, - af_tuple.3 AS timings - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - step_2 AS step_2, - latest_2 AS latest_2, - exclusion_0 AS exclusion_0, - exclusion_1 AS exclusion_1, - exclusion_2 AS exclusion_2, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - prop_vals AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, - if(equals(e.event, 'sign up'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(equals(e.event, 'play movie'), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - if(equals(e.event, 'buy'), 1, 0) AS step_2, - if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, - 0 AS exclusion_0, - 0 AS exclusion_1, - 0 AS exclusion_2, - ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - LEFT OUTER JOIN - (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, - person_distinct_id_overrides.distinct_id AS distinct_id - FROM person_distinct_id_overrides - WHERE equals(person_distinct_id_overrides.team_id, 2) - GROUP BY person_distinct_id_overrides.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) - LEFT JOIN - (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, - groups.group_type_index AS index, - groups.group_key AS key - FROM groups - WHERE and(equals(groups.team_id, 2), equals(index, 0)) - GROUP BY groups.group_type_index, - groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) - WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC')))))) - GROUP BY aggregation_target - HAVING ifNull(greaterOrEquals(af, 0), 0)) - GROUP BY breakdown - ORDER BY step_3 DESC, step_2 DESC, step_1 DESC) - GROUP BY final_prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1, - format_csv_allow_double_quotes=0, - max_ast_elements=4000000, - max_expanded_ast_elements=4000000, - max_bytes_before_external_group_by=23622320128, - allow_experimental_analyzer=1 - ''' -# --- -# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.1 - ''' - - SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, - count(*) as count - FROM events e - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND event IN ['buy', 'play movie', 'sign up'] - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - GROUP BY value - ORDER BY count DESC, value DESC - LIMIT 26 - OFFSET 0 - ''' -# --- -# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.2 - ''' - - SELECT aggregation_target AS actor_id - FROM - (SELECT aggregation_target, - steps, - avg(step_1_conversion_time) step_1_average_conversion_time_inner, - avg(step_2_conversion_time) step_2_average_conversion_time_inner, - median(step_1_conversion_time) step_1_median_conversion_time_inner, - median(step_2_conversion_time) step_2_median_conversion_time_inner, - prop - FROM - (SELECT aggregation_target, - steps, - max(steps) over (PARTITION BY aggregation_target, - prop) as max_steps, - step_1_conversion_time, - step_2_conversion_time, - prop - FROM - (SELECT *, - if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY - AND latest_1 <= latest_2 - AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, - if(isNotNull(latest_1) - AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, - if(isNotNull(latest_2) - AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time - FROM - (SELECT aggregation_target, timestamp, step_0, - latest_0, - step_1, - min(latest_1) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, - step_2, - min(latest_2) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , - if(has(['technology', 'finance'], prop), prop, 'Other') as prop - FROM - (SELECT *, - prop_vals as prop - FROM - (SELECT e.timestamp as timestamp, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as aggregation_target, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as person_id, - if(event = 'sign up', 1, 0) as step_0, - if(step_0 = 1, timestamp, null) as latest_0, - if(event = 'play movie', 1, 0) as step_1, - if(step_1 = 1, timestamp, null) as latest_1, - if(event = 'buy', 1, 0) as step_2, - if(step_2 = 1, timestamp, null) as latest_2, - replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, - prop_basic as prop, - argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals - FROM events e - LEFT OUTER JOIN - (SELECT distinct_id, - argMax(person_id, version) as person_id - FROM person_distinct_id2 - WHERE team_id = 2 - AND distinct_id IN - (SELECT distinct_id - FROM events - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) - GROUP BY distinct_id - HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - AND (1=1) ))) - WHERE step_0 = 1 )) - GROUP BY aggregation_target, - steps, - prop - HAVING steps = max_steps) - WHERE steps IN [1, 2, 3] - AND arrayFlatten(array(prop)) = arrayFlatten(array('finance')) - ORDER BY aggregation_target - LIMIT 100 - OFFSET 0 SETTINGS max_ast_elements=1000000, - max_expanded_ast_elements=1000000 - ''' -# --- -# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.3 - ''' - - SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, - count(*) as count - FROM events e - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND event IN ['buy', 'play movie', 'sign up'] - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - GROUP BY value - ORDER BY count DESC, value DESC - LIMIT 26 - OFFSET 0 - ''' -# --- -# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.4 - ''' - - SELECT aggregation_target AS actor_id - FROM - (SELECT aggregation_target, - steps, - avg(step_1_conversion_time) step_1_average_conversion_time_inner, - avg(step_2_conversion_time) step_2_average_conversion_time_inner, - median(step_1_conversion_time) step_1_median_conversion_time_inner, - median(step_2_conversion_time) step_2_median_conversion_time_inner, - prop - FROM - (SELECT aggregation_target, - steps, - max(steps) over (PARTITION BY aggregation_target, - prop) as max_steps, - step_1_conversion_time, - step_2_conversion_time, - prop - FROM - (SELECT *, - if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY - AND latest_1 <= latest_2 - AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, - if(isNotNull(latest_1) - AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, - if(isNotNull(latest_2) - AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time - FROM - (SELECT aggregation_target, timestamp, step_0, - latest_0, - step_1, - min(latest_1) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, - step_2, - min(latest_2) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , - if(has(['technology', 'finance'], prop), prop, 'Other') as prop - FROM - (SELECT *, - prop_vals as prop - FROM - (SELECT e.timestamp as timestamp, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as aggregation_target, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as person_id, - if(event = 'sign up', 1, 0) as step_0, - if(step_0 = 1, timestamp, null) as latest_0, - if(event = 'play movie', 1, 0) as step_1, - if(step_1 = 1, timestamp, null) as latest_1, - if(event = 'buy', 1, 0) as step_2, - if(step_2 = 1, timestamp, null) as latest_2, - replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, - prop_basic as prop, - argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals - FROM events e - LEFT OUTER JOIN - (SELECT distinct_id, - argMax(person_id, version) as person_id - FROM person_distinct_id2 - WHERE team_id = 2 - AND distinct_id IN - (SELECT distinct_id - FROM events - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) - GROUP BY distinct_id - HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - AND (1=1) ))) - WHERE step_0 = 1 )) - GROUP BY aggregation_target, - steps, - prop - HAVING steps = max_steps) - WHERE steps IN [2, 3] - AND arrayFlatten(array(prop)) = arrayFlatten(array('finance')) - ORDER BY aggregation_target - LIMIT 100 - OFFSET 0 SETTINGS max_ast_elements=1000000, - max_expanded_ast_elements=1000000 - ''' -# --- -# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.5 - ''' - - SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, - count(*) as count - FROM events e - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND event IN ['buy', 'play movie', 'sign up'] - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - GROUP BY value - ORDER BY count DESC, value DESC - LIMIT 26 - OFFSET 0 - ''' -# --- -# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.6 - ''' - - SELECT aggregation_target AS actor_id - FROM - (SELECT aggregation_target, - steps, - avg(step_1_conversion_time) step_1_average_conversion_time_inner, - avg(step_2_conversion_time) step_2_average_conversion_time_inner, - median(step_1_conversion_time) step_1_median_conversion_time_inner, - median(step_2_conversion_time) step_2_median_conversion_time_inner, - prop - FROM - (SELECT aggregation_target, - steps, - max(steps) over (PARTITION BY aggregation_target, - prop) as max_steps, - step_1_conversion_time, - step_2_conversion_time, - prop - FROM - (SELECT *, - if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY - AND latest_1 <= latest_2 - AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, - if(isNotNull(latest_1) - AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, - if(isNotNull(latest_2) - AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time - FROM - (SELECT aggregation_target, timestamp, step_0, - latest_0, - step_1, - min(latest_1) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, - step_2, - min(latest_2) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , - if(has(['technology', 'finance'], prop), prop, 'Other') as prop - FROM - (SELECT *, - prop_vals as prop - FROM - (SELECT e.timestamp as timestamp, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as aggregation_target, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as person_id, - if(event = 'sign up', 1, 0) as step_0, - if(step_0 = 1, timestamp, null) as latest_0, - if(event = 'play movie', 1, 0) as step_1, - if(step_1 = 1, timestamp, null) as latest_1, - if(event = 'buy', 1, 0) as step_2, - if(step_2 = 1, timestamp, null) as latest_2, - replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, - prop_basic as prop, - argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals - FROM events e - LEFT OUTER JOIN - (SELECT distinct_id, - argMax(person_id, version) as person_id - FROM person_distinct_id2 - WHERE team_id = 2 - AND distinct_id IN - (SELECT distinct_id - FROM events - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) - GROUP BY distinct_id - HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - AND (1=1) ))) - WHERE step_0 = 1 )) - GROUP BY aggregation_target, - steps, - prop - HAVING steps = max_steps) - WHERE steps IN [1, 2, 3] - AND arrayFlatten(array(prop)) = arrayFlatten(array('technology')) - ORDER BY aggregation_target - LIMIT 100 - OFFSET 0 SETTINGS max_ast_elements=1000000, - max_expanded_ast_elements=1000000 - ''' -# --- -# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.7 - ''' - - SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, - count(*) as count - FROM events e - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND event IN ['buy', 'play movie', 'sign up'] - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - GROUP BY value - ORDER BY count DESC, value DESC - LIMIT 26 - OFFSET 0 - ''' -# --- -# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.8 - ''' - - SELECT aggregation_target AS actor_id - FROM - (SELECT aggregation_target, - steps, - avg(step_1_conversion_time) step_1_average_conversion_time_inner, - avg(step_2_conversion_time) step_2_average_conversion_time_inner, - median(step_1_conversion_time) step_1_median_conversion_time_inner, - median(step_2_conversion_time) step_2_median_conversion_time_inner, - prop - FROM - (SELECT aggregation_target, - steps, - max(steps) over (PARTITION BY aggregation_target, - prop) as max_steps, - step_1_conversion_time, - step_2_conversion_time, - prop - FROM - (SELECT *, - if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY - AND latest_1 <= latest_2 - AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 - AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, - if(isNotNull(latest_1) - AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, - if(isNotNull(latest_2) - AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time - FROM - (SELECT aggregation_target, timestamp, step_0, - latest_0, - step_1, - min(latest_1) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, - step_2, - min(latest_2) over (PARTITION by aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , - if(has(['technology', 'finance'], prop), prop, 'Other') as prop - FROM - (SELECT *, - prop_vals as prop - FROM - (SELECT e.timestamp as timestamp, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as aggregation_target, - if(notEmpty(pdi.distinct_id), pdi.person_id, e.person_id) as person_id, - if(event = 'sign up', 1, 0) as step_0, - if(step_0 = 1, timestamp, null) as latest_0, - if(event = 'play movie', 1, 0) as step_1, - if(step_1 = 1, timestamp, null) as latest_1, - if(event = 'buy', 1, 0) as step_2, - if(step_2 = 1, timestamp, null) as latest_2, - replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, - prop_basic as prop, - argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals - FROM events e - LEFT OUTER JOIN - (SELECT distinct_id, - argMax(person_id, version) as person_id - FROM person_distinct_id2 - WHERE team_id = 2 - AND distinct_id IN - (SELECT distinct_id - FROM events - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) - GROUP BY distinct_id - HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id - LEFT JOIN - (SELECT group_key, - argMax(group_properties, _timestamp) AS group_properties_0 - FROM groups - WHERE team_id = 2 - AND group_type_index = 0 - GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key - WHERE team_id = 2 - AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') - AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') - AND (1=1) ))) - WHERE step_0 = 1 )) - GROUP BY aggregation_target, - steps, - prop - HAVING steps = max_steps) - WHERE steps IN [2, 3] - AND arrayFlatten(array(prop)) = arrayFlatten(array('technology')) - ORDER BY aggregation_target - LIMIT 100 - OFFSET 0 SETTINGS max_ast_elements=1000000, - max_expanded_ast_elements=1000000 - ''' -# --- # name: TestStrictFunnelGroupBreakdownUDF.test_funnel_aggregate_by_groups_breakdown_group_person_on_events ''' SELECT sum(step_1) AS step_1, @@ -2295,7 +233,8 @@ rowNumberInBlock() AS row_number, if(ifNull(less(row_number, 25), 0), breakdown, 'Other') AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_v0(3, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_v0(3, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arrayFilter((x, i) -> not(and(isNotNull(events_array[minus(i, 1)]), empty(x.4), empty((events_array[minus(i, 1)]).4), ifNull(greater(x.1, (events_array[minus(i, 1)]).1), 0))), events_array, arrayEnumerate(events_array)))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2371,7 +310,8 @@ rowNumberInBlock() AS row_number, if(ifNull(less(row_number, 25), 0), breakdown, 'Other') AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_v0(3, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_v0(3, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arrayFilter((x, i) -> not(and(isNotNull(events_array[minus(i, 1)]), empty(x.4), empty((events_array[minus(i, 1)]).4), ifNull(greater(x.1, (events_array[minus(i, 1)]).1), 0))), events_array, arrayEnumerate(events_array)))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -2447,7 +387,8 @@ rowNumberInBlock() AS row_number, if(ifNull(less(row_number, 25), 0), breakdown, 'Other') AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_v0(3, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_v0(3, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arrayFilter((x, i) -> not(and(isNotNull(events_array[minus(i, 1)]), empty(x.4), empty((events_array[minus(i, 1)]).4), ifNull(greater(x.1, (events_array[minus(i, 1)]).1), 0))), events_array, arrayEnumerate(events_array)))) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, diff --git a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_udf.ambr b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_udf.ambr index fc27315723526..22e1d6badcb15 100644 --- a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_udf.ambr +++ b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_udf.ambr @@ -19,7 +19,8 @@ rowNumberInBlock() AS row_number, breakdown AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(3, 15, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(3, 15, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -67,7 +68,8 @@ FROM (SELECT aggregation_target AS actor_id FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(3, 15, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(3, 15, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -143,7 +145,8 @@ rowNumberInBlock() AS row_number, breakdown AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -217,7 +220,8 @@ rowNumberInBlock() AS row_number, breakdown AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -278,7 +282,8 @@ rowNumberInBlock() AS row_number, breakdown AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -337,7 +342,8 @@ FROM (SELECT aggregation_target AS actor_id FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -404,7 +410,8 @@ FROM (SELECT aggregation_target AS actor_id FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -471,7 +478,8 @@ FROM (SELECT aggregation_target AS actor_id FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(3, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -553,7 +561,8 @@ rowNumberInBlock() AS row_number, breakdown AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -609,7 +618,8 @@ rowNumberInBlock() AS row_number, breakdown AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', [[]], events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -662,7 +672,8 @@ rowNumberInBlock() AS row_number, if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', groupUniqArray(prop), events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -730,7 +741,8 @@ rowNumberInBlock() AS row_number, if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'step_1', 'ordered', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'step_1', 'ordered', groupUniqArray(prop), events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -805,7 +817,8 @@ rowNumberInBlock() AS row_number, if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))) AS events_array, + arrayJoin(aggregate_funnel_array_v0(2, 1209600, 'first_touch', 'ordered', groupUniqArray(prop), events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -878,7 +891,8 @@ rowNumberInBlock() AS row_number, if(ifNull(less(row_number, 25), 0), breakdown, 'Other') AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_v0(3, 1209600, 'first_touch', 'ordered', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_v0(3, 1209600, 'first_touch', 'ordered', groupUniqArray(prop), events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -954,7 +968,8 @@ rowNumberInBlock() AS row_number, if(ifNull(less(row_number, 25), 0), breakdown, 'Other') AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_v0(3, 1209600, 'first_touch', 'ordered', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_v0(3, 1209600, 'first_touch', 'ordered', groupUniqArray(prop), events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, @@ -1030,7 +1045,8 @@ rowNumberInBlock() AS row_number, if(ifNull(less(row_number, 25), 0), breakdown, 'Other') AS final_prop FROM - (SELECT arrayJoin(aggregate_funnel_v0(3, 1209600, 'first_touch', 'ordered', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + (SELECT arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), uuid, prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))) AS events_array, + arrayJoin(aggregate_funnel_v0(3, 1209600, 'first_touch', 'ordered', groupUniqArray(prop), events_array)) AS af_tuple, af_tuple.1 AS step_reached, plus(af_tuple.1, 1) AS steps, af_tuple.2 AS breakdown, diff --git a/posthog/hogql_queries/insights/funnels/test/test_funnel.py b/posthog/hogql_queries/insights/funnels/test/test_funnel.py index 536bf006ac226..c5dee72089d1d 100644 --- a/posthog/hogql_queries/insights/funnels/test/test_funnel.py +++ b/posthog/hogql_queries/insights/funnels/test/test_funnel.py @@ -2827,6 +2827,28 @@ def test_funnel_with_denormalised_properties(self): self.assertEqual(results[0]["name"], "user signed up") self.assertEqual(results[0]["count"], 1) + def test_same_event_same_timestamp(self): + _create_person(distinct_ids=["test"], team_id=self.team.pk) + with freeze_time("2024-01-10T12:01:00"): + for _ in range(20): + _create_event(team=self.team, event="step one", distinct_id="test") + with freeze_time("2024-01-11T12:01:00"): + _create_event(team=self.team, event="step two", distinct_id="test") + filters = { + "insight": INSIGHT_FUNNELS, + "funnel_viz_type": "steps", + "date_from": "2024-01-10 00:00:00", + "date_to": "2024-01-12 00:00:00", + "events": [ + {"id": "step one", "order": 0}, + {"id": "step two", "order": 1}, + ], + } + + query = cast(FunnelsQuery, filter_to_query(filters)) + results = FunnelsQueryRunner(query=query, team=self.team).calculate().results + self.assertEqual(results[-1]["count"], 1) + def test_funnel_with_elements_chain(self): person1 = _create_person(distinct_ids=["test"], team_id=self.team.pk) _create_event(team=self.team, event="user signed up", distinct_id="test") @@ -3960,6 +3982,69 @@ def test_first_time_for_user_funnel_with_actions(self): self.assertEqual(result[2]["name"], "watched movie") self.assertEqual(result[2]["count"], 0) + def test_multiple_events_same_timestamp_exclusions(self): + _create_person(distinct_ids=["test"], team_id=self.team.pk) + with freeze_time("2024-01-10T12:00:00"): + _create_event(team=self.team, event="step zero", distinct_id="test") + with freeze_time("2024-01-10T12:01:00"): + for _ in range(30): + _create_event(team=self.team, event="step one", distinct_id="test") + _create_event(team=self.team, event="exclusion", distinct_id="test") + _create_event(team=self.team, event="step two", distinct_id="test") + with freeze_time("2024-01-10T12:02:00"): + _create_event(team=self.team, event="step three", distinct_id="test") + filters = { + "insight": INSIGHT_FUNNELS, + "funnel_viz_type": "steps", + "date_from": "2024-01-10 00:00:00", + "date_to": "2024-01-12 00:00:00", + "events": [ + {"id": "step zero", "order": 0}, + {"id": "step one", "order": 1}, + {"id": "step two", "order": 2}, + {"id": "step three", "order": 3}, + ], + "exclusions": [ + { + "id": "exclusion", + "type": "events", + "funnel_from_step": 0, + "funnel_to_step": 1, + } + ], + } + + query = cast(FunnelsQuery, filter_to_query(filters)) + results = FunnelsQueryRunner(query=query, team=self.team).calculate().results + self.assertEqual(4, len(results)) + self.assertEqual(1, results[-1]["count"]) + + filters = { + "insight": INSIGHT_FUNNELS, + "funnel_viz_type": "steps", + "date_from": "2024-01-10 00:00:00", + "date_to": "2024-01-12 00:00:00", + "events": [ + {"id": "step zero", "order": 0}, + {"id": "step one", "order": 1}, + {"id": "step two", "order": 2}, + {"id": "step three", "order": 3}, + ], + "exclusions": [ + { + "id": "exclusion", + "type": "events", + "funnel_from_step": 1, + "funnel_to_step": 2, + } + ], + } + + query = cast(FunnelsQuery, filter_to_query(filters)) + results = FunnelsQueryRunner(query=query, team=self.team).calculate().results + self.assertEqual(4, len(results)) + self.assertEqual(1, results[-1]["count"]) + def test_first_time_for_user_funnel_filters(self): _create_person( distinct_ids=[f"user_1"], diff --git a/posthog/hogql_queries/insights/funnels/test/test_funnel_strict_udf.py b/posthog/hogql_queries/insights/funnels/test/test_funnel_strict_udf.py index fdde235e5bc7e..934f55babcc0b 100644 --- a/posthog/hogql_queries/insights/funnels/test/test_funnel_strict_udf.py +++ b/posthog/hogql_queries/insights/funnels/test/test_funnel_strict_udf.py @@ -1,11 +1,22 @@ +from typing import cast from unittest.mock import Mock, patch +from freezegun import freeze_time + +from hogql_parser import parse_expr +from posthog.constants import INSIGHT_FUNNELS +from posthog.hogql.constants import HogQLGlobalSettings, MAX_BYTES_BEFORE_EXTERNAL_GROUP_BY +from posthog.hogql.query import execute_hogql_query +from posthog.hogql_queries.insights.funnels.funnels_query_runner import FunnelsQueryRunner from posthog.hogql_queries.insights.funnels.test.test_funnel_strict import ( BaseTestFunnelStrictStepsBreakdown, BaseTestFunnelStrictSteps, BaseTestStrictFunnelGroupBreakdown, BaseTestFunnelStrictStepsConversionTime, ) +from posthog.hogql_queries.legacy_compatibility.filter_to_query import filter_to_query +from posthog.schema import FunnelsQuery +from posthog.test.base import _create_person, _create_event @patch("posthoganalytics.feature_enabled", new=Mock(return_value=True)) @@ -17,6 +28,65 @@ class TestFunnelStrictStepsBreakdownUDF(BaseTestFunnelStrictStepsBreakdown): class TestFunnelStrictStepsUDF(BaseTestFunnelStrictSteps): __test__ = True + def test_redundant_event_filtering_strict_funnel(self): + filters = { + "insight": INSIGHT_FUNNELS, + "funnel_order_type": "strict", + "events": [ + {"id": "$pageview", "order": 1}, + {"id": "insight viewed", "order": 2}, + ], + } + + _create_person( + distinct_ids=["many_other_events"], + team_id=self.team.pk, + properties={"test": "okay"}, + ) + for _ in range(10): + _create_event(team=self.team, event="user signed up", distinct_id="many_other_events") + + query = cast(FunnelsQuery, filter_to_query(filters)) + runner = FunnelsQueryRunner(query=query, team=self.team) + inner_aggregation_query = runner.funnel_class._inner_aggregation_query() + inner_aggregation_query.select.append(parse_expr(f"{runner.funnel_class._array_filter()} AS filtered_array")) + inner_aggregation_query.having = None + response = execute_hogql_query( + query_type="FunnelsQuery", + query=inner_aggregation_query, + team=self.team, + settings=HogQLGlobalSettings( + # Make sure funnel queries never OOM + max_bytes_before_external_group_by=MAX_BYTES_BEFORE_EXTERNAL_GROUP_BY, + allow_experimental_analyzer=True, + ), + ) + # Make sure the events have been condensed down to one + self.assertEqual(1, len(response.results[0][-1])) + + def test_multiple_events_same_timestamp_doesnt_blow_up(self): + _create_person(distinct_ids=["test"], team_id=self.team.pk) + with freeze_time("2024-01-10T12:01:00"): + for _ in range(30): + _create_event(team=self.team, event="step one", distinct_id="test") + _create_event(team=self.team, event="step two", distinct_id="test") + _create_event(team=self.team, event="step three", distinct_id="test") + filters = { + "insight": INSIGHT_FUNNELS, + "funnel_viz_type": "steps", + "date_from": "2024-01-10 00:00:00", + "date_to": "2024-01-12 00:00:00", + "events": [ + {"id": "step one", "order": 0}, + {"id": "step two", "order": 1}, + {"id": "step three", "order": 2}, + ], + } + + query = cast(FunnelsQuery, filter_to_query(filters)) + results = FunnelsQueryRunner(query=query, team=self.team).calculate().results + self.assertEqual(1, results[-1]["count"]) + @patch("posthoganalytics.feature_enabled", new=Mock(return_value=True)) class TestStrictFunnelGroupBreakdownUDF(BaseTestStrictFunnelGroupBreakdown): diff --git a/posthog/hogql_queries/insights/funnels/test/test_funnel_udf.py b/posthog/hogql_queries/insights/funnels/test/test_funnel_udf.py index 5fba037657116..2802aee785edd 100644 --- a/posthog/hogql_queries/insights/funnels/test/test_funnel_udf.py +++ b/posthog/hogql_queries/insights/funnels/test/test_funnel_udf.py @@ -1,6 +1,8 @@ from typing import cast from unittest.mock import patch, Mock +from freezegun import freeze_time + from posthog.constants import FunnelOrderType, INSIGHT_FUNNELS from posthog.hogql_queries.insights.funnels import Funnel from posthog.hogql_queries.insights.funnels.funnels_query_runner import FunnelsQueryRunner @@ -99,6 +101,43 @@ def test_assert_trends_flag_is_off(self): self.assertFalse(results.isUdf) + # Old style funnels fails on this (not sure why) + def test_events_same_timestamp_no_exclusions(self): + _create_person(distinct_ids=["test"], team_id=self.team.pk) + with freeze_time("2024-01-10T12:01:00"): + _create_event(team=self.team, event="step one, ten", distinct_id="test") + _create_event(team=self.team, event="step two, three, seven", distinct_id="test") + _create_event(team=self.team, event="step two, three, seven", distinct_id="test") + _create_event(team=self.team, event="step four, five, eight", distinct_id="test") + _create_event(team=self.team, event="step four, five, eight", distinct_id="test") + _create_event(team=self.team, event="step six, nine", distinct_id="test") + _create_event(team=self.team, event="step two, three, seven", distinct_id="test") + _create_event(team=self.team, event="step four, five, eight", distinct_id="test") + _create_event(team=self.team, event="step six, nine", distinct_id="test") + _create_event(team=self.team, event="step one, ten", distinct_id="test") + filters = { + "insight": INSIGHT_FUNNELS, + "funnel_viz_type": "steps", + "date_from": "2024-01-10 00:00:00", + "date_to": "2024-01-12 00:00:00", + "events": [ + {"id": "step one, ten", "order": 0}, + {"id": "step two, three, seven", "order": 1}, + {"id": "step two, three, seven", "order": 2}, + {"id": "step four, five, eight", "order": 3}, + {"id": "step four, five, eight", "order": 4}, + {"id": "step six, nine", "order": 5}, + {"id": "step two, three, seven", "order": 6}, + {"id": "step four, five, eight", "order": 7}, + {"id": "step six, nine", "order": 8}, + {"id": "step one, ten", "order": 9}, + ], + } + + query = cast(FunnelsQuery, filter_to_query(filters)) + results = FunnelsQueryRunner(query=query, team=self.team).calculate().results + self.assertEqual(1, results[-1]["count"]) 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diff --git a/posthog/user_scripts/aggregate_funnel_x86_64 b/posthog/user_scripts/aggregate_funnel_x86_64
index 7b49f9a90dd5be28235cee8890ba43a995cb3e7c..615934388b0275142af8e9f143b57d409ac25128 100755
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diff --git a/posthog/user_scripts/latest_user_defined_function.xml b/posthog/user_scripts/latest_user_defined_function.xml
index 9a0b6001786fa..609b4d91dc2f1 100644
--- a/posthog/user_scripts/latest_user_defined_function.xml
+++ b/posthog/user_scripts/latest_user_defined_function.xml
@@ -1,7 +1,7 @@
 
-    
-        executable
+        executable_pool
         aggregate_funnel
         Array(Tuple(Int8, Nullable(String), Array(Float64), Array(Array(UUID))))
         result
@@ -35,7 +35,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_cohort
         Array(Tuple(Int8, UInt64, Array(Float64), Array(Array(UUID))))
         result
@@ -69,7 +69,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_array
         Array(Tuple(Int8, Array(String), Array(Float64), Array(Array(UUID))))
         result
@@ -103,7 +103,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_test
         String
         result
@@ -137,7 +137,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_trends
         Array(Tuple(DateTime, Int8, Nullable(String)))
         result
@@ -179,7 +179,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_array_trends
         
         Array(Tuple(DateTime, Int8, Array(String)))
@@ -218,7 +218,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_cohort_trends
         
         Array(Tuple(DateTime, Int8, UInt64))
@@ -257,7 +257,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_array_trends_test
         String
         result
@@ -294,7 +294,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
         600
     
 
-        executable
+        executable_pool
         aggregate_funnel_v0
         Array(Tuple(Int8, Nullable(String), Array(Float64), Array(Array(UUID))))
         result
@@ -328,7 +328,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_cohort_v0
         Array(Tuple(Int8, UInt64, Array(Float64), Array(Array(UUID))))
         result
@@ -362,7 +362,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_array_v0
         Array(Tuple(Int8, Array(String), Array(Float64), Array(Array(UUID))))
         result
@@ -396,7 +396,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_test_v0
         String
         result
@@ -430,7 +430,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_trends_v0
         Array(Tuple(DateTime, Int8, Nullable(String)))
         result
@@ -472,7 +472,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_array_trends_v0
         
         Array(Tuple(DateTime, Int8, Array(String)))
@@ -511,7 +511,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_cohort_trends_v0
         
         Array(Tuple(DateTime, Int8, UInt64))
@@ -550,7 +550,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_array_trends_test_v0
         String
         result
diff --git a/posthog/user_scripts/v0/aggregate_funnel_aarch64 b/posthog/user_scripts/v0/aggregate_funnel_aarch64
index c86bfbb060d3203d0ce30d60e292202325ea2d03..c6169148db0b6d1e25a98baba5934b638d7765f8 100755
GIT binary patch
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diff --git a/posthog/user_scripts/v0/aggregate_funnel_x86_64 b/posthog/user_scripts/v0/aggregate_funnel_x86_64
index 7b49f9a90dd5be28235cee8890ba43a995cb3e7c..615934388b0275142af8e9f143b57d409ac25128 100755
GIT binary patch
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diff --git a/posthog/user_scripts/v0/user_defined_function.xml b/posthog/user_scripts/v0/user_defined_function.xml
index 9a0b6001786fa..609b4d91dc2f1 100644
--- a/posthog/user_scripts/v0/user_defined_function.xml
+++ b/posthog/user_scripts/v0/user_defined_function.xml
@@ -1,7 +1,7 @@
 
-    
-        executable
+        executable_pool
         aggregate_funnel
         Array(Tuple(Int8, Nullable(String), Array(Float64), Array(Array(UUID))))
         result
@@ -35,7 +35,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_cohort
         Array(Tuple(Int8, UInt64, Array(Float64), Array(Array(UUID))))
         result
@@ -69,7 +69,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_array
         Array(Tuple(Int8, Array(String), Array(Float64), Array(Array(UUID))))
         result
@@ -103,7 +103,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_test
         String
         result
@@ -137,7 +137,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_trends
         Array(Tuple(DateTime, Int8, Nullable(String)))
         result
@@ -179,7 +179,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_array_trends
         
         Array(Tuple(DateTime, Int8, Array(String)))
@@ -218,7 +218,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_cohort_trends
         
         Array(Tuple(DateTime, Int8, UInt64))
@@ -257,7 +257,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_array_trends_test
         String
         result
@@ -294,7 +294,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
         600
     
 
-        executable
+        executable_pool
         aggregate_funnel_v0
         Array(Tuple(Int8, Nullable(String), Array(Float64), Array(Array(UUID))))
         result
@@ -328,7 +328,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_cohort_v0
         Array(Tuple(Int8, UInt64, Array(Float64), Array(Array(UUID))))
         result
@@ -362,7 +362,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_array_v0
         Array(Tuple(Int8, Array(String), Array(Float64), Array(Array(UUID))))
         result
@@ -396,7 +396,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_test_v0
         String
         result
@@ -430,7 +430,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_trends_v0
         Array(Tuple(DateTime, Int8, Nullable(String)))
         result
@@ -472,7 +472,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_array_trends_v0
         
         Array(Tuple(DateTime, Int8, Array(String)))
@@ -511,7 +511,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_cohort_trends_v0
         
         Array(Tuple(DateTime, Int8, UInt64))
@@ -550,7 +550,7 @@ This file is autogenerated by udf_versioner.py. Do not edit this, only edit the
     
 
     
-        executable
+        executable_pool
         aggregate_funnel_array_trends_test_v0
         String
         result

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