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openobserve/tests/test-data/query-agent/queries/histogram.json
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Neha PandClaude Opus 4.7 494025f83b test: add ~100 query-agent queries covering re_match, production patterns, deep nesting, edge cases (#12735) 
## Summary
- Expands the query agent test suite from **574 → 675 queries** across
13 category files
- **20 re_match queries** — testing `\d`, `[abc]`, `^anchor`, `a|b`,
coercion, boolean mode, COALESCE+CASE patterns found 224x in production
- **19 production-inspired queries** —
histogram+re_match+CASE+percentage, COALESCE chains,
re_match+re_not_match combined
- **19 deep-nesting queries** — INTERSECT, EXCEPT, subquery-in-HAVING,
double-NOT-EXISTS, 2-level correlated subqueries
- **15 edge-case queries** — empty results, division-by-zero via NULLIF,
STDDEV of single row, NULL grouping, BETWEEN edge
- **10 window-depth queries** — multiple window functions, WINDOW clause
reuse, NTH_VALUE, NTILE, CUME_DIST
- **5 histogram+re_match queries** — covering production pattern of
histogram + filtered metric extraction
- **5 FTS combo queries** — match_all +
histogram/re_match/window/aggregation
- **5 aggregation edge queries** — multiple FILTER clauses, STRING_AGG
with ORDER BY, HAVING complexity
- Expected values regenerated by DuckDB oracle

## Test plan
- [ ] CI passes (memtable + parquet phases)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-17 12:51:13 +00:00

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{
"queries": [
{
"id": "Q083",
"sql": "SELECT histogram(_timestamp) AS _time, COUNT(*) AS cnt FROM \"{stream}\" GROUP BY _time ORDER BY _time",
"category": "histogram",
"expected": {
"row_count": 17,
"columns": [
"_time",
"cnt"
],
"note": "Default histogram with COUNT",
"skip_row_count": true,
"assertions": [
{
"type": "value_range",
"column": "cnt",
"min": 0
}
]
},
"time_offset": {
"start_offset": 4919000000,
"end_offset": 5083000000
}
},
{
"id": "Q084",
"sql": "SELECT histogram(_timestamp) AS _time, COUNT(CASE WHEN load_factor > 50.0 THEN 1 END) AS high_load_cnt, COUNT(CASE WHEN load_factor <= 50.0 THEN 1 END) AS low_load_cnt FROM \"{stream}\" GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"expected": {
"row_count": 17,
"columns": [
"_time",
"high_load_cnt",
"low_load_cnt"
],
"note": "Histogram with conditional COUNT using CASE",
"skip_row_count": true,
"assertions": [
{
"type": "value_range",
"column": "high_load_cnt",
"min": 0
}
]
},
"time_offset": {
"start_offset": 4979000000,
"end_offset": 5143000000
}
},
{
"id": "Q085",
"sql": "SELECT histogram(_timestamp, '1 minute') AS bucket_time, facility_zone, COUNT(*) AS zone_events, ROUND(AVG(throughput_rate), 2) AS avg_tput FROM \"{stream}\" GROUP BY bucket_time, facility_zone ORDER BY bucket_time ASC, facility_zone ASC",
"category": "histogram",
"expected": {
"columns": [
"bucket_time",
"facility_zone",
"zone_events",
"avg_tput"
],
"results": [
[
"2026-06-06T07:20:00",
"ZONE-1",
"1",
"555.0"
],
[
"2026-06-06T07:20:00",
"ZONE-2",
"1",
"190.0"
],
[
"2026-06-06T07:20:00",
"ZONE-3",
"2",
"727.5"
],
[
"2026-06-06T07:20:00",
"ZONE-4",
"1",
"290.0"
],
[
"2026-06-06T07:21:00",
"ZONE-1",
"1",
"900.0"
],
[
"2026-06-06T07:21:00",
"ZONE-2",
"1",
"150.0"
],
[
"2026-06-06T07:21:00",
"ZONE-3",
"1",
"320.0"
],
[
"2026-06-06T07:21:00",
"ZONE-4",
"2",
"315.0"
],
[
"2026-06-06T07:22:00",
"ZONE-1",
"1",
"610.0"
],
[
"2026-06-06T07:22:00",
"ZONE-2",
"1",
"480.0"
],
[
"2026-06-06T07:22:00",
"ZONE-3",
"1",
"610.0"
],
[
"2026-06-06T07:22:00",
"ZONE-4",
"1",
"725.0"
]
],
"results_mode": "rowsort"
},
"time_offset": {
"start_offset": 5039000000,
"end_offset": 5203000000
}
},
{
"id": "Q086",
"sql": "SELECT histogram(_timestamp, '30 seconds') AS bucket, COUNT(*) AS cnt, SUM(item_count) AS items, ROUND(AVG(cell_temp), 2) AS avg_temp, ROUND(AVG(charge_remaining), 2) AS avg_charge FROM \"{stream}\" WHERE operation_mode != 'manual' GROUP BY bucket ORDER BY bucket ASC",
"category": "histogram",
"expected": {
"columns": [
"bucket",
"cnt",
"items",
"avg_temp",
"avg_charge"
],
"results": [
[
"2026-06-06T07:21:00",
"2",
"243",
"32.9",
"50.25"
],
[
"2026-06-06T07:21:30",
"2",
"685",
"22.0",
"82.0"
],
[
"2026-06-06T07:22:00",
"1",
"275",
"24.8",
"88.7"
],
[
"2026-06-06T07:22:30",
"2",
"550",
"36.25",
"19.15"
],
[
"2026-06-06T07:23:00",
"2",
"170",
"29.25",
"49.95"
]
],
"results_mode": "rowsort"
},
"time_offset": {
"start_offset": 5099000000,
"end_offset": 5263000000
}
},
{
"id": "Q087",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS time_window, operation_mode, COUNT(*) FILTER (WHERE load_factor > 50.0) AS high_load_count, COUNT(*) FILTER (WHERE load_factor <= 50.0) AS low_load_count, COUNT(*) AS total FROM \"{stream}\" GROUP BY time_window, operation_mode ORDER BY time_window ASC, operation_mode ASC",
"category": "histogram",
"expected": {
"columns": [
"time_window",
"operation_mode",
"high_load_count",
"low_load_count",
"total"
],
"results": [
[
"2026-06-06T07:22:00",
"auto",
"2",
"2",
"4"
],
[
"2026-06-06T07:22:00",
"hybrid",
"0",
"2",
"2"
],
[
"2026-06-06T07:22:00",
"manual",
"4",
"0",
"4"
],
[
"2026-06-06T07:24:00",
"auto",
"1",
"0",
"1"
],
[
"2026-06-06T07:24:00",
"hybrid",
"1",
"0",
"1"
],
[
"2026-06-06T07:24:00",
"manual",
"1",
"1",
"2"
]
],
"results_mode": "rowsort"
},
"time_offset": {
"start_offset": 5159000000,
"end_offset": 5323000000
}
},
{
"id": "Q088",
"sql": "SELECT histogram(_timestamp, '5 minutes') AS block, sorter_model, COUNT(*) AS samples, ROUND(MIN(throughput_rate), 2) AS floor_tput, ROUND(MAX(throughput_rate), 2) AS ceiling_tput FROM \"{stream}\" GROUP BY block, sorter_model HAVING COUNT(*) >= 2 ORDER BY block ASC, ceiling_tput DESC",
"category": "histogram",
"expected": {
"columns": [
"block",
"sorter_model",
"samples",
"floor_tput",
"ceiling_tput"
],
"results": [
[
"2026-06-06T07:20:00",
"SORT-X1",
"3",
"320.0",
"900.0"
],
[
"2026-06-06T07:20:00",
"SORT-M3",
"2",
"555.0",
"900.0"
],
[
"2026-06-06T07:20:00",
"SORT-Z9",
"2",
"150.0",
"290.0"
],
[
"2026-06-06T07:20:00",
"SORT-A7",
"2",
"190.0",
"290.0"
]
],
"results_mode": "rowsort"
},
"time_offset": {
"start_offset": 5219000000,
"end_offset": 5383000000
}
},
{
"id": "Q089",
"sql": "SELECT histogram(_timestamp) AS time_slot, control_center, COUNT(*) AS events, ROUND(SUM(package_size) * 1.0 / NULLIF(COUNT(*), 0), 2) AS avg_pkg FROM \"{stream}\" WHERE package_size >= 250 GROUP BY time_slot, control_center ORDER BY time_slot ASC, events DESC",
"category": "histogram",
"expected": {
"row_count": 22,
"columns": [
"time_slot",
"control_center",
"events",
"avg_pkg"
],
"note": "Auto-interval histogram + control_center breakdown with package filter",
"skip_row_count": true,
"assertions": [
{
"type": "row_contains",
"match": {
"control_center": "CC-DELTA"
}
},
{
"type": "value_range",
"column": "events",
"min": 0
}
]
},
"time_offset": {
"start_offset": 5279000000,
"end_offset": 5443000000
}
},
{
"id": "Q090",
"sql": "SELECT histogram(_timestamp, '1 minute') AS minute_slot, COUNT(*) AS total_events, COUNT(DISTINCT pallet_id) AS distinct_pallets, COUNT(DISTINCT conveyor_lane) AS distinct_lanes FROM \"{stream}\" GROUP BY minute_slot ORDER BY minute_slot ASC",
"category": "histogram",
"expected": {
"columns": [
"minute_slot",
"total_events",
"distinct_pallets",
"distinct_lanes"
],
"results": [
[
"2026-06-06T07:25:00",
"5",
"5",
"4"
],
[
"2026-06-06T07:26:00",
"5",
"5",
"4"
],
[
"2026-06-06T07:27:00",
"4",
"4",
"4"
]
],
"results_mode": "rowsort"
},
"time_offset": {
"start_offset": 5339000000,
"end_offset": 5503000000
}
},
{
"id": "Q091",
"sql": "SELECT histogram(_timestamp, '3 minutes') AS interval_bucket, conveyor_lane, operation_mode, COUNT(*) AS cnt, ROUND(AVG(scan_attempts), 2) AS avg_scan FROM \"{stream}\" WHERE scan_attempts >= 1 GROUP BY interval_bucket, conveyor_lane, operation_mode ORDER BY interval_bucket ASC, cnt DESC",
"category": "histogram",
"expected": {
"columns": [
"interval_bucket",
"conveyor_lane",
"operation_mode",
"cnt",
"avg_scan"
],
"results": [
[
"2026-06-06T07:24:00",
"LANE-B",
"auto",
"1",
"4.0"
],
[
"2026-06-06T07:24:00",
"LANE-A",
"auto",
"1",
"1.0"
],
[
"2026-06-06T07:24:00",
"LANE-C",
"manual",
"1",
"2.0"
],
[
"2026-06-06T07:24:00",
"LANE-D",
"hybrid",
"1",
"4.0"
],
[
"2026-06-06T07:24:00",
"LANE-B",
"manual",
"1",
"3.0"
],
[
"2026-06-06T07:27:00",
"LANE-C",
"auto",
"2",
"2.5"
],
[
"2026-06-06T07:27:00",
"LANE-D",
"hybrid",
"1",
"2.0"
],
[
"2026-06-06T07:27:00",
"LANE-A",
"auto",
"1",
"1.0"
],
[
"2026-06-06T07:27:00",
"LANE-B",
"auto",
"1",
"5.0"
],
[
"2026-06-06T07:27:00",
"LANE-B",
"manual",
"1",
"2.0"
],
[
"2026-06-06T07:27:00",
"LANE-A",
"hybrid",
"1",
"2.0"
],
[
"2026-06-06T07:27:00",
"LANE-C",
"manual",
"1",
"1.0"
],
[
"2026-06-06T07:27:00",
"LANE-D",
"manual",
"1",
"3.0"
]
],
"results_mode": "rowsort"
},
"time_offset": {
"start_offset": 5399000000,
"end_offset": 5563000000
}
},
{
"id": "Q092",
"sql": "SELECT histogram(_timestamp, '4 minutes') AS window_block, COUNT(*) FILTER (WHERE charge_remaining >= 60.0) AS charged_ops, COUNT(*) FILTER (WHERE charge_remaining < 30.0) AS low_charge_ops, ROUND(AVG(cell_temp) FILTER (WHERE charge_remaining < 30.0), 2) AS low_charge_avg_temp FROM \"{stream}\" GROUP BY window_block ORDER BY window_block ASC",
"category": "histogram",
"expected": {
"columns": [
"window_block",
"charged_ops",
"low_charge_ops",
"low_charge_avg_temp"
],
"results": [
[
"2026-06-06T07:24:00",
"0",
"3",
"24.87"
],
[
"2026-06-06T07:28:00",
"5",
"2",
"32.5"
]
],
"results_mode": "rowsort"
},
"time_offset": {
"start_offset": 5459000000,
"end_offset": 5623000000
}
},
{
"id": "Q093",
"sql": "SELECT histogram(_timestamp, '15 seconds') AS fine_bucket, COUNT(*) AS total, ROUND(AVG(defect_limit), 3) AS avg_defect, ROUND(STDDEV(throughput_rate), 2) AS tput_volatility FROM \"{stream}\" WHERE defect_limit IS NOT NULL AND throughput_rate IS NOT NULL GROUP BY fine_bucket HAVING COUNT(*) > 1 ORDER BY fine_bucket ASC",
"category": "histogram",
"expected": {
"columns": [
"fine_bucket",
"total",
"avg_defect",
"tput_volatility"
],
"results": [
[
"2026-06-06T07:28:00",
"2",
"1.75",
"120.21"
],
[
"2026-06-06T07:29:00",
"2",
"1.9",
"81.32"
],
[
"2026-06-06T07:30:00",
"2",
"3.15",
"187.38"
]
],
"results_mode": "rowsort"
},
"time_offset": {
"start_offset": 5519000000,
"end_offset": 5683000000
}
},
{
"id": "Q166",
"sql": "SELECT (_timestamp - (_timestamp % 3600000000)) AS time_bucket, page_slug, COALESCE(graphql_operation, 'N/A') AS graphql_operation, COALESCE(info_tag, 'N/A') AS info_tag, COALESCE(visitor_session_id, 'N/A') AS visitor_session_id, COUNT(*) AS row_count FROM \"{stream}\" WHERE (graphql_operation = 'verifyPayment') AND (passthrough_flag <> 'true') AND (info_tag IS NULL OR info_tag NOT LIKE '%NonexistentPattern%') GROUP BY page_slug, graphql_operation, info_tag, (_timestamp - (_timestamp % 3600000000)), visitor_session_id HAVING (COUNT(*) > 0) ORDER BY row_count DESC LIMIT 5",
"category": "histogram",
"time_offset": {
"start_offset": 9899000000,
"end_offset": 10063000000
},
"expected": {
"columns": [
"time_bucket",
"page_slug",
"graphql_operation",
"info_tag",
"visitor_session_id",
"row_count"
],
"results": [
[
"1780732800000000",
"itemPage",
"verifyPayment",
"N/A",
"sess_003",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q326",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, (CASE WHEN os_platform LIKE '%Android%' THEN 'Android' WHEN os_platform LIKE '%iOS%' OR os_platform LIKE '%iPhone%' THEN 'iOS' ELSE 'Other' END) AS platform, COUNT(*) AS cnt FROM \"{stream}\" WHERE action_category = 'navigation' GROUP BY _time, platform ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 19499000000,
"end_offset": 19573000000
},
"expected": {
"columns": [
"_time",
"platform",
"cnt"
],
"results": [
[
"2026-06-06T11:20:00",
"Android",
"1"
],
[
"2026-06-06T11:22:00",
"Android",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q327",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, COUNT(CASE WHEN action_category = 'performanceMetric' AND error_code NOT IN ('E001', 'E003') THEN 1 END) AS clean_metrics, COUNT(*) AS total_events FROM \"{stream}\" WHERE org_name = 'warehouse-east' GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 19559000000,
"end_offset": 19633000000
},
"expected": {
"columns": [
"_time",
"clean_metrics",
"total_events"
],
"results": [
[
"2026-06-06T11:22:00",
"1",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q328",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, (100.0 * COUNT(CASE WHEN action_category = 'performanceMetric' AND exception_message LIKE '%Exception%' THEN 1 END) / COUNT(*)) AS error_pct FROM \"{stream}\" WHERE org_name = 'warehouse-east' AND action_category IN ('performanceMetric', 'navigation') GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 19619000000,
"end_offset": 19693000000
},
"expected": {
"columns": [
"_time",
"error_pct"
],
"results": [
[
"2026-06-06T11:24:00",
"100.0"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q329",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, COUNT(*) AS cnt, os_platform AS breakdown FROM \"{stream}\" WHERE page_slug IN ('itemPage', 'searchPage') AND action_category IN ('navigation') AND os_platform IN ('Mac OS X (iPhone)', 'Android 14') AND org_name IN ('warehouse-south') GROUP BY _time, breakdown ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 19679000000,
"end_offset": 19753000000
},
"expected": {
"columns": [
"_time",
"cnt",
"breakdown"
],
"results": [
[
"2026-06-06T11:24:00",
"1",
"Android 14"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q330",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, COUNT(*) AS cnt FROM \"{stream}\" WHERE org_name = 'warehouse-east' AND build_version IS NOT NULL AND device_type IN ('Mobile', 'Computer', 'Tablet') AND page_slug IN ('itemPage', 'cartPage') AND action_category IN ('performanceMetric', 'navigation') GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 19739000000,
"end_offset": 19813000000
},
"expected": {
"columns": [
"_time",
"cnt"
],
"results": [
[
"2026-06-06T11:24:00",
"1"
],
[
"2026-06-06T11:26:00",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q331",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, COUNT(*) AS cnt FROM \"{stream}\" WHERE org_name IN ('warehouse-north', 'warehouse-south', 'warehouse-central') AND build_version NOT IN ('v1.0.0', 'v1.1.2') AND device_type IN ('Mobile', 'Computer') AND page_slug = 'itemPage' AND action_category IN ('performanceMetric', 'navigation', 'interaction') GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 19799000000,
"end_offset": 19873000000
},
"expected": {
"columns": [
"_time",
"cnt"
],
"results": [
[
"2026-06-06T11:26:00",
"2"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q332",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, exception_message, COUNT(*) AS error_count FROM \"{stream}\" WHERE org_name IN ('warehouse-east', 'warehouse-west') AND re_match(os_platform, 'Android|iPhone') AND action_category = 'performanceMetric' AND (exception_message LIKE '%Exception%' OR upstream_error_code LIKE '%UP-E%') GROUP BY _time, exception_message ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 19859000000,
"end_offset": 19933000000
},
"expected": {
"columns": [
"_time",
"exception_message",
"error_count"
],
"results": [
[
"2026-06-06T11:26:00",
"OverflowException: throughput_rate 999.0 exceeds max capacity",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q333",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, (CASE WHEN os_platform LIKE '%Android%' THEN 'Android' WHEN os_platform LIKE '%iOS%' OR os_platform LIKE '%iPhone%' THEN 'iOS' ELSE os_platform END) AS platform, COUNT(CASE WHEN action_category = 'performanceMetric' AND error_code NOT IN ('E002', 'E004') AND exception_message NOT LIKE '%Timeout%' THEN 1 END) AS filtered_count FROM \"{stream}\" WHERE org_name = 'warehouse-east' GROUP BY _time, platform ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 19919000000,
"end_offset": 19993000000
},
"expected": {
"columns": [
"_time",
"platform",
"filtered_count"
],
"results": [
[
"2026-06-06T11:28:00",
"Android",
"0"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q334",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, MAX(latency_ms) AS max_latency, COUNT(CASE WHEN latency_ms > 500 THEN 1 END) AS slow_count, COUNT(*) AS total FROM \"{stream}\" WHERE action_category = 'performanceMetric' AND latency_ms > 0 GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 19979000000,
"end_offset": 20053000000
},
"expected": {
"columns": [
"_time",
"max_latency",
"slow_count",
"total"
],
"results": [
[
"2026-06-06T11:28:00",
"1450",
"3",
"5"
],
[
"2026-06-06T11:30:00",
"567",
"1",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q335",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, COUNT(CASE WHEN action_category = 'performanceMetric' THEN 1 END) AS performance_count, COUNT(CASE WHEN action_category = 'navigation' THEN 1 END) AS navigation_count, COUNT(CASE WHEN action_category = 'interaction' THEN 1 END) AS interaction_count FROM \"{stream}\" WHERE org_name = 'warehouse-east' GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20039000000,
"end_offset": 20113000000
},
"expected": {
"columns": [
"_time",
"performance_count",
"navigation_count",
"interaction_count"
],
"results": [
[
"2026-06-06T11:30:00",
"2",
"0",
"0"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q336",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, COUNT(*) AS cnt, coalesce(page_url, page_slug) AS page FROM \"{stream}\" WHERE action_category = 'navigation' AND org_name = 'warehouse-south' GROUP BY _time, page ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20099000000,
"end_offset": 20173000000
},
"expected": {
"columns": [
"_time",
"cnt",
"page"
],
"results": [
[
"2026-06-06T11:30:00",
"1",
"https://shop.example.com/item/1002"
],
[
"2026-06-06T11:32:00",
"1",
"https://shop.example.com/item/1002"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q337",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, (CASE WHEN char_length(exception_message) > 20 THEN substring(exception_message, 1, 20) || '...' ELSE exception_message END) AS short_error, COUNT(*) AS cnt FROM \"{stream}\" WHERE action_category = 'performanceMetric' AND exception_message IS NOT NULL GROUP BY _time, short_error ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20159000000,
"end_offset": 20233000000
},
"expected": {
"columns": [
"_time",
"short_error",
"cnt"
],
"results": [
[
"2026-06-06T11:32:00",
"ResourceExhaustedExc...",
"2"
],
[
"2026-06-06T11:32:00",
"ConfigurationExcepti...",
"2"
],
[
"2026-06-06T11:32:00",
"NetworkException: co...",
"1"
],
[
"2026-06-06T11:32:00",
"SecurityException: u...",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q338",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, approx_percentile_cont(CAST(latency_ms AS FLOAT), 0.95) AS p95_latency, COUNT(*) AS cnt FROM \"{stream}\" WHERE action_category = 'performanceMetric' AND latency_ms > 0 AND page_slug LIKE '%Page%' GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20219000000,
"end_offset": 20293000000
},
"expected": {
"columns": [
"_time",
"p95_latency",
"cnt"
],
"results": [
[
"2026-06-06T11:32:00",
"567.0",
"3"
],
[
"2026-06-06T11:34:00",
"1900.0",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q339",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, device_type, COUNT(*) AS cnt, COUNT(DISTINCT visitor_session_id) AS users FROM \"{stream}\" WHERE action_category = 'navigation' AND page_slug = 'itemPage' AND device_type IN ('Mobile', 'Computer', 'Tablet') GROUP BY _time, device_type ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20279000000,
"end_offset": 20353000000
},
"expected": {
"columns": [
"_time",
"device_type",
"cnt",
"users"
],
"results": [
[
"2026-06-06T11:34:00",
"Mobile",
"1",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q340",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, COUNT(*) AS cnt FROM \"{stream}\" WHERE org_name IN ('warehouse-north', 'warehouse-south', 'warehouse-central') AND build_version NOT IN ('v1.0.0', 'v1.2.0') AND device_type IN ('Mobile', 'Computer') AND page_slug IN ('itemPage', 'searchPage', 'checkoutPage') AND action_category NOT IN ('interaction', 'navigation') GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20339000000,
"end_offset": 20413000000
},
"expected": {
"columns": [
"_time",
"cnt"
],
"results": [
[
"2026-06-06T11:34:00",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q341",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, error_code, COUNT(*) AS cnt FROM \"{stream}\" WHERE action_category = 'performanceMetric' AND error_code IS NOT NULL AND error_code IN ('E001', 'E003', 'E005', 'E002', 'E004') GROUP BY _time, error_code ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20399000000,
"end_offset": 20473000000
},
"expected": {
"columns": [
"_time",
"error_code",
"cnt"
],
"results": [
[
"2026-06-06T11:36:00",
"E005",
"2"
],
[
"2026-06-06T11:36:00",
"E004",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q342",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, COUNT(*) AS cnt FROM \"{stream}\" WHERE org_name = 'warehouse-east' AND build_version IS NOT NULL AND device_type IN ('Mobile', 'Computer', 'Tablet') AND page_slug IN ('itemPage', 'cartPage') AND action_category IN ('performanceMetric', 'navigation') AND error_code NOT IN ('E002', 'E004') AND visitor_session_id IS NOT NULL GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20459000000,
"end_offset": 20533000000
},
"expected": {
"columns": [
"_time",
"cnt"
],
"results": [
[
"2026-06-06T11:36:00",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q343",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, component_name, COUNT(*) AS cnt, AVG(CAST(latency_ms AS FLOAT)) AS avg_latency FROM \"{stream}\" WHERE action_category = 'performanceMetric' AND latency_ms > 0 GROUP BY _time, component_name ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20519000000,
"end_offset": 20593000000
},
"expected": {
"columns": [
"_time",
"component_name",
"cnt",
"avg_latency"
],
"results": [
[
"2026-06-06T11:38:00",
"zone-controller",
"2",
"12.0"
],
[
"2026-06-06T11:38:00",
"batch-sync",
"1",
"1450.0"
],
[
"2026-06-06T11:38:00",
"track-router",
"2",
"230.0"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q344",
"sql": "SELECT histogram(_timestamp, '5 minutes') AS _time, COUNT(*) AS cnt, COUNT(DISTINCT visitor_session_id) AS users FROM \"{stream}\" WHERE org_name = 'warehouse-east' GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20579000000,
"end_offset": 20653000000
},
"expected": {
"columns": [
"_time",
"cnt",
"users"
],
"results": [
[
"2026-06-06T11:35:00",
"2",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q345",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, (CASE WHEN os_platform LIKE '%Android%' THEN 'Android' WHEN os_platform LIKE '%iOS%' OR os_platform LIKE '%iPhone%' THEN 'iOS' ELSE os_platform END) AS platform, page_slug, COUNT(*) AS cnt FROM \"{stream}\" WHERE org_name = 'warehouse-east' AND page_slug IN ('itemPage', 'cartPage', 'searchPage') GROUP BY _time, platform, page_slug ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20639000000,
"end_offset": 20713000000
},
"expected": {
"columns": [
"_time",
"platform",
"page_slug",
"cnt"
],
"results": [
[
"2026-06-06T11:40:00",
"Android",
"itemPage",
"2"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q346",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, COUNT(*) AS cnt FROM \"{stream}\" WHERE exception_message LIKE '%Exception%' OR upstream_error_code LIKE '%UP-E%' OR error_code LIKE '%E00%' GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20699000000,
"end_offset": 20773000000
},
"expected": {
"columns": [
"_time",
"cnt"
],
"results": [
[
"2026-06-06T11:40:00",
"5"
],
[
"2026-06-06T11:42:00",
"2"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q347",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, response_code, COUNT(*) AS cnt FROM \"{stream}\" WHERE action_category = 'performanceMetric' AND response_code > 0 GROUP BY _time, response_code ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20759000000,
"end_offset": 20833000000
},
"expected": {
"columns": [
"_time",
"response_code",
"cnt"
],
"results": [
[
"2026-06-06T11:42:00",
"500",
"2"
],
[
"2026-06-06T11:42:00",
"403",
"1"
],
[
"2026-06-06T11:42:00",
"401",
"2"
],
[
"2026-06-06T11:42:00",
"503",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q348",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, tag_a, COUNT(*) AS cnt, COUNT(DISTINCT visitor_session_id) AS users FROM \"{stream}\" WHERE action_category = 'navigation' AND tag_a IN ('prod', 'staging') GROUP BY _time, tag_a ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20819000000,
"end_offset": 20893000000
},
"expected": {
"columns": [
"_time",
"tag_a",
"cnt",
"users"
],
"results": [
[
"2026-06-06T11:42:00",
"staging",
"1",
"1"
],
[
"2026-06-06T11:44:00",
"staging",
"1",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q349",
"sql": "SELECT histogram(_timestamp, '1 minutes') AS _time, (CASE WHEN latency_ms < 100 THEN 'fast' WHEN latency_ms < 500 THEN 'medium' ELSE 'slow' END) AS speed, COUNT(*) AS cnt FROM \"{stream}\" WHERE action_category = 'performanceMetric' AND latency_ms > 0 GROUP BY _time, speed ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20879000000,
"end_offset": 20953000000
},
"expected": {
"columns": [
"_time",
"speed",
"cnt"
],
"results": [
[
"2026-06-06T11:44:00",
"fast",
"1"
],
[
"2026-06-06T11:44:00",
"slow",
"2"
],
[
"2026-06-06T11:45:00",
"fast",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q350",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, COUNT(*) AS cnt FROM \"{stream}\" WHERE org_name = 'warehouse-east' GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 20939000000,
"end_offset": 21013000000
},
"expected": {
"columns": [
"_time",
"cnt"
],
"results": [
[
"2026-06-06T11:44:00",
"1"
],
[
"2026-06-06T11:46:00",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q471",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, org_name, COUNT(*) AS cnt FROM \"{stream}\" WHERE org_name IS NOT NULL GROUP BY _time, org_name ORDER BY _time ASC, org_name ASC",
"category": "histogram",
"time_offset": {
"start_offset": 28199000000,
"end_offset": 28273000000
},
"expected": {
"columns": [
"_time",
"org_name",
"cnt"
],
"results": [
[
"2026-06-06T13:46:00",
"warehouse-central",
"1"
],
[
"2026-06-06T13:46:00",
"warehouse-east",
"1"
],
[
"2026-06-06T13:46:00",
"warehouse-north",
"1"
],
[
"2026-06-06T13:46:00",
"warehouse-south",
"2"
],
[
"2026-06-06T13:46:00",
"warehouse-west",
"2"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q472",
"sql": "SELECT histogram(_timestamp, '1 minutes') AS _time, device_type, COUNT(*) AS cnt, COUNT(DISTINCT visitor_session_id) AS users FROM \"{stream}\" WHERE action_category = 'performanceMetric' GROUP BY _time, device_type ORDER BY _time ASC, device_type ASC",
"category": "histogram",
"time_offset": {
"start_offset": 28259000000,
"end_offset": 28333000000
},
"expected": {
"columns": [
"_time",
"device_type",
"cnt",
"users"
],
"results": [
[
"2026-06-06T13:47:00",
"Mobile",
"1",
"1"
],
[
"2026-06-06T13:48:00",
"Tablet",
"1",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q473",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, (CASE WHEN response_code < 400 THEN 'success' ELSE 'error' END) AS outcome, COUNT(*) AS cnt FROM \"{stream}\" WHERE action_category = 'performanceMetric' GROUP BY _time, outcome ORDER BY _time ASC, outcome ASC",
"category": "histogram",
"time_offset": {
"start_offset": 28319000000,
"end_offset": 28393000000
},
"expected": {
"columns": [
"_time",
"outcome",
"cnt"
],
"results": [
[
"2026-06-06T13:48:00",
"error",
"5"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q474",
"sql": "SELECT histogram(_timestamp, '5 minutes') AS _time, COUNT(*) AS cnt FROM \"{stream}\" WHERE action_category = 'interaction' GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 28379000000,
"end_offset": 28453000000
},
"expected": {
"columns": [
"_time",
"cnt"
],
"results": [
[
"2026-06-06T13:50:00",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q475",
"sql": "SELECT histogram(_timestamp, '1 minutes') AS _time, action_subcategory, ROUND(AVG(CAST(latency_ms AS FLOAT)), 1) AS avg_lat, COUNT(*) AS cnt FROM \"{stream}\" WHERE latency_ms > 0 AND action_subcategory IS NOT NULL GROUP BY _time, action_subcategory ORDER BY _time ASC, cnt DESC",
"category": "histogram",
"time_offset": {
"start_offset": 28439000000,
"end_offset": 28513000000
},
"expected": {
"columns": [
"_time",
"action_subcategory",
"avg_lat",
"cnt"
],
"results": [
[
"2026-06-06T13:50:00",
"vitalsInp",
"2766.7",
"3"
],
[
"2026-06-06T13:50:00",
"vitalsLcp",
"322.5",
"2"
],
[
"2026-06-06T13:51:00",
"vitalsInp",
"1900.0",
"1"
],
[
"2026-06-06T13:51:00",
"vitalsCls",
"15.0",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q476",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, page_slug, MIN(CAST(latency_ms AS FLOAT)) AS min_lat, MAX(CAST(latency_ms AS FLOAT)) AS max_lat FROM \"{stream}\" WHERE latency_ms > 0 AND page_slug IS NOT NULL GROUP BY _time, page_slug ORDER BY _time ASC, min_lat ASC",
"category": "histogram",
"time_offset": {
"start_offset": 28499000000,
"end_offset": 28573000000
},
"expected": {
"columns": [
"_time",
"page_slug",
"min_lat",
"max_lat"
],
"results": [
[
"2026-06-06T13:50:00",
"itemPage",
"12.0",
"1900.0"
],
[
"2026-06-06T13:50:00",
"searchPage",
"15.0",
"15.0"
],
[
"2026-06-06T13:52:00",
"itemPage",
"45.0",
"45.0"
],
[
"2026-06-06T13:52:00",
"searchPage",
"230.0",
"230.0"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q477",
"sql": "SELECT histogram(_timestamp, '1 minutes') AS _time, COUNT(*) AS total, COUNT(CASE WHEN error_code IS NOT NULL THEN 1 END) AS errors FROM \"{stream}\" WHERE action_category = 'performanceMetric' GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 28559000000,
"end_offset": 28633000000
},
"expected": {
"columns": [
"_time",
"total",
"errors"
],
"results": [
[
"2026-06-06T13:52:00",
"4",
"4"
],
[
"2026-06-06T13:53:00",
"2",
"2"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q478",
"sql": "SELECT histogram(_timestamp, '2 minutes') AS _time, guard_mode, COUNT(*) AS cnt, COUNT(DISTINCT component_name) AS components FROM \"{stream}\" WHERE guard_mode IS NOT NULL GROUP BY _time, guard_mode ORDER BY _time ASC, guard_mode ASC",
"category": "histogram",
"time_offset": {
"start_offset": 28619000000,
"end_offset": 28693000000
},
"expected": {
"columns": [
"_time",
"guard_mode",
"cnt",
"components"
],
"results": [
[
"2026-06-06T13:52:00",
"active",
"2",
"2"
],
[
"2026-06-06T13:52:00",
"passive",
"3",
"2"
],
[
"2026-06-06T13:54:00",
"disabled",
"1",
"1"
],
[
"2026-06-06T13:54:00",
"passive",
"1",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q527",
"sql": "SELECT histogram(_timestamp, '1 minute') AS _time, COUNT(*) AS cnt FROM \"{stream}\" GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 31559000000,
"end_offset": 31723000000
},
"expected": {
"columns": [
"_time",
"cnt"
],
"results": [
[
"2026-06-06T14:42:00",
"5"
],
[
"2026-06-06T14:43:00",
"5"
],
[
"2026-06-06T14:44:00",
"4"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q528",
"sql": "SELECT histogram(_timestamp, '30 second') AS _time, component_name, COUNT(*) AS cnt FROM \"{stream}\" GROUP BY _time, component_name ORDER BY _time ASC, cnt DESC LIMIT 20",
"category": "histogram",
"time_offset": {
"start_offset": 31619000000,
"end_offset": 31783000000
},
"expected": {
"columns": [
"_time",
"component_name",
"cnt"
],
"results": [
[
"2026-06-06T14:43:00",
"lane-monitor",
"2"
],
[
"2026-06-06T14:43:00",
"pallet-mapper",
"1"
],
[
"2026-06-06T14:43:30",
"charge-checker",
"1"
],
[
"2026-06-06T14:43:30",
"temp-regulator",
"1"
],
[
"2026-06-06T14:44:00",
"sorter-engine",
"2"
],
[
"2026-06-06T14:44:00",
"charge-checker",
"1"
],
[
"2026-06-06T14:44:30",
"zone-controller",
"1"
],
[
"2026-06-06T14:44:30",
"conveyor-driver",
"1"
],
[
"2026-06-06T14:45:00",
"scan-hub",
"2"
],
[
"2026-06-06T14:45:00",
"zone-controller",
"1"
],
[
"2026-06-06T14:45:30",
"track-router",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q529",
"sql": "SELECT histogram(_timestamp, '1 minute') AS _time, COALESCE(scan_category, 'unknown') AS scan_type, COUNT(*) AS cnt, AVG(CAST(latency_ms AS FLOAT)) AS avg_latency FROM \"{stream}\" GROUP BY _time, scan_type ORDER BY _time ASC, cnt DESC",
"category": "histogram",
"time_offset": {
"start_offset": 31679000000,
"end_offset": 31843000000
},
"expected": {
"columns": [
"_time",
"scan_type",
"cnt",
"avg_latency"
],
"results": [
[
"2026-06-06T14:44:00",
"internal",
"2",
"1900.0"
],
[
"2026-06-06T14:44:00",
"inbound",
"2",
"13.5"
],
[
"2026-06-06T14:44:00",
"outbound",
"1",
"78.0"
],
[
"2026-06-06T14:45:00",
"outbound",
"2",
"45.0"
],
[
"2026-06-06T14:45:00",
"inbound",
"2",
"731.0"
],
[
"2026-06-06T14:45:00",
"internal",
"1",
"230.0"
],
[
"2026-06-06T14:46:00",
"outbound",
"2",
"89.0"
],
[
"2026-06-06T14:46:00",
"inbound",
"1",
"1450.0"
],
[
"2026-06-06T14:46:00",
"internal",
"1",
"567.0"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q530",
"sql": "SELECT histogram(_timestamp, '1 minute') AS _time, COUNT(*) FILTER (WHERE response_code >= 400) AS error_count, COUNT(*) FILTER (WHERE response_code < 400) AS success_count, COUNT(*) AS total FROM \"{stream}\" GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 31739000000,
"end_offset": 31903000000
},
"expected": {
"columns": [
"_time",
"error_count",
"success_count",
"total"
],
"results": [
[
"2026-06-06T14:45:00",
"5",
"0",
"5"
],
[
"2026-06-06T14:46:00",
"4",
"1",
"5"
],
[
"2026-06-06T14:47:00",
"0",
"4",
"4"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q531",
"sql": "SELECT histogram(_timestamp, '1 minute') AS _time, SUM(CASE WHEN CAST(latency_ms AS FLOAT) > 500 THEN 1 ELSE 0 END) AS slow_count, SUM(CASE WHEN CAST(latency_ms AS FLOAT) <= 500 THEN 1 ELSE 0 END) AS fast_count FROM \"{stream}\" GROUP BY _time ORDER BY _time ASC",
"category": "histogram",
"time_offset": {
"start_offset": 31799000000,
"end_offset": 31963000000
},
"expected": {
"columns": [
"_time",
"slow_count",
"fast_count"
],
"results": [
[
"2026-06-06T14:46:00",
"3",
"2"
],
[
"2026-06-06T14:47:00",
"2",
"3"
],
[
"2026-06-06T14:48:00",
"0",
"4"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q532",
"sql": "SELECT histogram(_timestamp, '1 minute') AS _time, CASE WHEN auth_result = 'pass' THEN 'authenticated' WHEN auth_result = 'fail' THEN 'failed' ELSE 'other' END AS auth_class, COUNT(*) AS cnt FROM \"{stream}\" GROUP BY _time, auth_class ORDER BY _time ASC, cnt DESC",
"category": "histogram",
"time_offset": {
"start_offset": 31859000000,
"end_offset": 32023000000
},
"expected": {
"columns": [
"_time",
"auth_class",
"cnt"
],
"results": [
[
"2026-06-06T14:47:00",
"authenticated",
"3"
],
[
"2026-06-06T14:47:00",
"other",
"1"
],
[
"2026-06-06T14:47:00",
"failed",
"1"
],
[
"2026-06-06T14:48:00",
"authenticated",
"3"
],
[
"2026-06-06T14:48:00",
"other",
"1"
],
[
"2026-06-06T14:48:00",
"failed",
"1"
],
[
"2026-06-06T14:49:00",
"authenticated",
"3"
],
[
"2026-06-06T14:49:00",
"failed",
"1"
]
],
"results_mode": "rowsort"
}
},
{
"id": "Q533",
"sql": "SELECT histogram(_timestamp, '1 minute') AS _time, COALESCE(info_tag, bot_flag) AS tag_info, COUNT(*) AS cnt FROM \"{stream}\" GROUP BY _time, tag_info ORDER BY _time ASC, cnt DESC",
"category": "histogram",
"time_offset": {
"start_offset": 31919000000,
"end_offset": 32083000000
},
"expected": {
"columns": [
"_time",
"tag_info",
"cnt"
],
"results": [
[
"2026-06-06T14:48:00",
"None",
"4"
],
[
"2026-06-06T14:48:00",
"Blocklisted",
"1"
],
[
"2026-06-06T14:49:00",
"None",
"4"
],
[
"2026-06-06T14:49:00",
"verified_bot",
"1"
],
[
"2026-06-06T14:50:00",
"None",
"3"
],
[
"2026-06-06T14:50:00",
"Allowlisted",
"1"
]
],
"results_mode": "rowsort",
"skip_sqllogictest": true,
"skip_row_count": true,
"skip_column_check": true
}
},
{
"id": "Q667",
"sql": "SELECT histogram(_timestamp, '30 second') AS _time, COUNT(*) FILTER (WHERE re_match(log, 'ACK')) AS ack_logs, COUNT(*) FILTER (WHERE re_match(log, 'error')) AS error_logs, COUNT(*) AS total FROM \"{stream}\" GROUP BY _time ORDER BY _time",
"category": "histogram",
"time_offset": {
"start_offset": 39900000000,
"end_offset": 40080000000
},
"expected": {
"columns": [
"_time",
"ack_logs",
"error_logs",
"total"
],
"results": [
[
"2026-06-06T17:01:00",
"1",
"0",
"3"
],
[
"2026-06-06T17:01:30",
"1",
"0",
"2"
],
[
"2026-06-06T17:02:00",
"1",
"0",
"3"
],
[
"2026-06-06T17:02:30",
"1",
"0",
"2"
],
[
"2026-06-06T17:03:00",
"1",
"0",
"3"
],
[
"2026-06-06T17:03:30",
"1",
"0",
"2"
],
[
"2026-06-06T17:04:00",
"1",
"0",
"1"
]
],
"results_mode": "rowsort",
"skip_sqllogictest": true
}
},
{
"id": "Q668",
"sql": "SELECT histogram(_timestamp, '1 minute') AS _time, CASE WHEN re_match(facility_zone, 'ZONE-[1-2]') THEN 'front' ELSE 'back' END AS zone_group, COUNT(*) AS cnt, ROUND(AVG(throughput_rate), 1) AS avg_tput FROM \"{stream}\" GROUP BY _time, zone_group ORDER BY _time, zone_group",
"category": "histogram",
"time_offset": {
"start_offset": 39960000000,
"end_offset": 40140000000
},
"expected": {
"columns": [
"_time",
"zone_group",
"cnt",
"avg_tput"
],
"results": [
[
"2026-06-06T17:02:00",
"back",
"2",
"667.5"
],
[
"2026-06-06T17:02:00",
"front",
"3",
"643.3"
],
[
"2026-06-06T17:03:00",
"back",
"2",
"565.0"
],
[
"2026-06-06T17:03:00",
"front",
"3",
"345.0"
],
[
"2026-06-06T17:04:00",
"back",
"3",
"470.0"
],
[
"2026-06-06T17:04:00",
"front",
"2",
"525.0"
],
[
"2026-06-06T17:05:00",
"front",
"1",
"320.0"
]
],
"results_mode": "rowsort",
"skip_sqllogictest": true
}
},
{
"id": "Q669",
"sql": "SELECT _timestamp - (_timestamp % 30000000) AS bucket, COUNT(*) AS cnt, COUNT(*) FILTER (WHERE re_match(exception_message, 'Exception')) AS exceptions FROM \"{stream}\" GROUP BY bucket ORDER BY bucket",
"category": "histogram",
"time_offset": {
"start_offset": 40020000000,
"end_offset": 40200000000
},
"expected": {
"columns": [
"bucket",
"cnt",
"exceptions"
],
"results": [
[
"1780765380000000",
"3",
"3"
],
[
"1780765410000000",
"2",
"2"
],
[
"1780765440000000",
"3",
"3"
],
[
"1780765470000000",
"2",
"2"
],
[
"1780765500000000",
"3",
"3"
],
[
"1780765530000000",
"2",
"2"
],
[
"1780765560000000",
"1",
"1"
]
],
"results_mode": "rowsort",
"skip_sqllogictest": true
}
},
{
"id": "Q670",
"sql": "SELECT histogram(_timestamp, '2 minute') AS _time, COALESCE(bot_flag, 'unknown') AS is_bot, COUNT(*) AS cnt FROM \"{stream}\" WHERE re_match(COALESCE(action_subcategory, ''), 'vitals|metric|interaction') GROUP BY _time, is_bot ORDER BY _time, is_bot",
"category": "histogram",
"time_offset": {
"start_offset": 40080000000,
"end_offset": 40260000000
},
"expected": {
"columns": [
"_time",
"is_bot",
"cnt"
],
"results": [
[
"2026-06-06T17:04:00",
"unknown",
"7"
],
[
"2026-06-06T17:04:00",
"verified_bot",
"1"
],
[
"2026-06-06T17:06:00",
"unknown",
"4"
]
],
"results_mode": "rowsort",
"skip_sqllogictest": true
}
},
{
"id": "Q671",
"sql": "SELECT histogram(_timestamp, '15 second') AS _time, COUNT(*) AS total, ROUND(AVG(throughput_rate), 1) AS avg_tput, ROUND(MAX(throughput_rate), 1) AS max_tput, ROUND(MIN(throughput_rate), 1) AS min_tput FROM \"{stream}\" WHERE re_match(facility_zone, 'ZONE-[1-4]') GROUP BY _time ORDER BY _time",
"category": "histogram",
"time_offset": {
"start_offset": 40140000000,
"end_offset": 40320000000
},
"expected": {
"columns": [
"_time",
"total",
"avg_tput",
"max_tput",
"min_tput"
],
"results": [
[
"2026-06-06T17:05:00",
"2",
"400.0",
"480.0",
"320.0"
],
[
"2026-06-06T17:05:15",
"1",
"480.0",
"480.0",
"480.0"
],
[
"2026-06-06T17:05:30",
"1",
"610.0",
"610.0",
"610.0"
],
[
"2026-06-06T17:05:45",
"1",
"725.0",
"725.0",
"725.0"
],
[
"2026-06-06T17:06:00",
"2",
"782.5",
"840.0",
"725.0"
],
[
"2026-06-06T17:06:15",
"1",
"840.0",
"840.0",
"840.0"
],
[
"2026-06-06T17:06:30",
"1",
"290.0",
"290.0",
"290.0"
],
[
"2026-06-06T17:06:45",
"1",
"555.0",
"555.0",
"555.0"
],
[
"2026-06-06T17:07:00",
"2",
"372.5",
"555.0",
"190.0"
],
[
"2026-06-06T17:07:15",
"1",
"190.0",
"190.0",
"190.0"
],
[
"2026-06-06T17:07:30",
"1",
"900.0",
"900.0",
"900.0"
],
[
"2026-06-06T17:07:45",
"1",
"150.0",
"150.0",
"150.0"
],
[
"2026-06-06T17:08:00",
"1",
"150.0",
"150.0",
"150.0"
]
],
"results_mode": "rowsort",
"skip_sqllogictest": true
}
}
],
"last_query_id": 93
}
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