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posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel.ambr
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|---|---|---|
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| # serializer version: 1 | ||
| # name: TestFunnelBreakdown.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, | ||
| 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, | ||
| min(latest_1) OVER (PARTITION BY aggregation_target, | ||
| prop | ||
| ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 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, | ||
| e__pdi.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 | ||
| INNER JOIN | ||
| (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, | ||
| person_distinct_id2.distinct_id AS distinct_id | ||
| FROM person_distinct_id2 | ||
| WHERE equals(person_distinct_id2.team_id, 2) | ||
| GROUP BY person_distinct_id2.distinct_id | ||
| HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) | ||
| WHERE and(equals(e.team_id, 2), and(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'))), in(e.event, tuple('buy', 'sign up'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0)))))) | ||
| 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: TestFunnelBreakdown.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, | ||
| 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, | ||
| min(latest_1) OVER (PARTITION BY aggregation_target, | ||
| prop | ||
| ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 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, | ||
| e__pdi.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 | ||
| INNER JOIN | ||
| (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, | ||
| person_distinct_id2.distinct_id AS distinct_id | ||
| FROM person_distinct_id2 | ||
| WHERE equals(person_distinct_id2.team_id, 2) | ||
| GROUP BY person_distinct_id2.distinct_id | ||
| HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) | ||
| WHERE and(equals(e.team_id, 2), and(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'))), in(e.event, tuple('buy', 'sign up'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0)))) 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 | ||
| ''' | ||
| # --- |