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posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel.ambr
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...ql_queries/insights/funnels/test/__snapshots__/test_funnel_breakdowns_by_current_url.ambr
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# serializer version: 1 | ||
# name: TestFunnelBreakdownsByCurrentURL.test_breakdown_by_current_url | ||
''' | ||
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, 101), 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, 'watched movie'), 1, 0) AS step_0, | ||
if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, | ||
if(equals(e.event, 'terminate funnel'), 1, 0) AS step_1, | ||
if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, | ||
[if(empty(replaceRegexpOne(ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$current_url'), ''), 'null'), '^"|"$', '')), ''), '[\\/?#]*$', '')), '/', replaceRegexpOne(ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$current_url'), ''), '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('2020-01-02 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-12 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('terminate funnel', 'watched movie'))), 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: TestFunnelBreakdownsByCurrentURL.test_breakdown_by_pathname | ||
''' | ||
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, 101), 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, 'watched movie'), 1, 0) AS step_0, | ||
if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, | ||
if(equals(e.event, 'terminate funnel'), 1, 0) AS step_1, | ||
if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, | ||
[if(empty(replaceRegexpOne(ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$pathname'), ''), 'null'), '^"|"$', '')), ''), '[\\/?#]*$', '')), '/', replaceRegexpOne(ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$pathname'), ''), '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('2020-01-02 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-12 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('terminate funnel', 'watched movie'))), 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 | ||
''' | ||
# --- |
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