{ "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-B", "manual", "1", "3.0" ], [ "2026-06-06T07:24:00", "LANE-D", "hybrid", "1", "4.0" ], [ "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-D", "manual", "1", "3.0" ], [ "2026-06-06T07:27:00", "LANE-C", "manual", "1", "1.0" ], [ "2026-06-06T07:27:00", "LANE-A", "hybrid", "1", "2.0" ] ], "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", "SecurityException: u...", "1" ], [ "2026-06-06T11:32:00", "ConfigurationExcepti...", "2" ], [ "2026-06-06T11:32:00", "NetworkException: co...", "1" ], [ "2026-06-06T11:32:00", "ResourceExhaustedExc...", "2" ] ], "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", "batch-sync", "1", "1450.0" ], [ "2026-06-06T11:38:00", "track-router", "2", "230.0" ], [ "2026-06-06T11:38:00", "zone-controller", "2", "12.0" ] ], "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", "403", "1" ], [ "2026-06-06T11:42:00", "500", "2" ], [ "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", "slow", "2" ], [ "2026-06-06T11:44:00", "fast", "1" ], [ "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", "vitalsCls", "15.0", "1" ], [ "2026-06-06T13:51:00", "vitalsInp", "1900.0", "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", "temp-regulator", "1" ], [ "2026-06-06T14:43:30", "charge-checker", "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", "inbound", "2", "731.0" ], [ "2026-06-06T14:45:00", "outbound", "2", "45.0" ], [ "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", "failed", "1" ], [ "2026-06-06T14:47:00", "other", "1" ], [ "2026-06-06T14:48:00", "authenticated", "3" ], [ "2026-06-06T14:48:00", "failed", "1" ], [ "2026-06-06T14:48:00", "other", "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 } }, { "id": "Q901", "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": 53999000000, "end_offset": 54163000000 }, "expected": { "columns": [ "_time", "cnt" ], "results": [ [ "2026-06-06T20:56:00", "5" ], [ "2026-06-06T20:57:00", "5" ], [ "2026-06-06T20:58:00", "4" ] ], "results_mode": "rowsort" } }, { "id": "Q902", "sql": "SELECT histogram(_timestamp, '30 second') AS _time, facility_zone, COUNT(*) AS cnt FROM \"{stream}\" GROUP BY _time, facility_zone ORDER BY _time ASC, cnt DESC LIMIT 20", "category": "histogram", "time_offset": { "start_offset": 54059000000, "end_offset": 54223000000 }, "expected": { "columns": [ "_time", "facility_zone", "cnt" ], "results": [ [ "2026-06-06T20:57:00", "ZONE-4", "1" ], [ "2026-06-06T20:57:00", "ZONE-1", "1" ], [ "2026-06-06T20:57:00", "ZONE-2", "1" ], [ "2026-06-06T20:57:30", "ZONE-3", "1" ], [ "2026-06-06T20:57:30", "ZONE-4", "1" ], [ "2026-06-06T20:58:00", "ZONE-2", "1" ], [ "2026-06-06T20:58:00", "ZONE-3", "1" ], [ "2026-06-06T20:58:00", "ZONE-1", "1" ], [ "2026-06-06T20:58:30", "ZONE-1", "1" ], [ "2026-06-06T20:58:30", "ZONE-4", "1" ], [ "2026-06-06T20:59:00", "ZONE-4", "1" ], [ "2026-06-06T20:59:00", "ZONE-2", "1" ], [ "2026-06-06T20:59:00", "ZONE-3", "1" ], [ "2026-06-06T20:59:30", "ZONE-1", "1" ] ], "results_mode": "rowsort" } }, { "id": "Q903", "sql": "SELECT histogram(_timestamp, '2 minute') AS _time, COUNT(*) FILTER (WHERE throughput_rate > 300) AS high_rate, COUNT(*) FILTER (WHERE throughput_rate <= 300) AS low_rate, COUNT(*) AS total FROM \"{stream}\" GROUP BY _time ORDER BY _time ASC", "category": "histogram", "time_offset": { "start_offset": 54119000000, "end_offset": 54283000000 }, "expected": { "columns": [ "_time", "high_rate", "low_rate", "total" ], "results": [ [ "2026-06-06T20:58:00", "8", "2", "10" ], [ "2026-06-06T21:00:00", "2", "2", "4" ] ], "results_mode": "rowsort" } }, { "id": "Q904", "sql": "SELECT histogram(_timestamp, '1 minute') AS _time, operation_mode, AVG(throughput_rate) AS avg_rate, MAX(throughput_rate) AS peak_rate FROM \"{stream}\" GROUP BY _time, operation_mode ORDER BY _time ASC, avg_rate DESC LIMIT 15", "category": "histogram", "time_offset": { "start_offset": 54179000000, "end_offset": 54343000000 }, "expected": { "columns": [ "_time", "operation_mode", "avg_rate", "peak_rate" ], "results": [ [ "2026-06-06T20:59:00", "manual", "782.5", "840.0" ], [ "2026-06-06T20:59:00", "hybrid", "610.0", "610.0" ], [ "2026-06-06T20:59:00", "auto", "507.5", "725.0" ], [ "2026-06-06T21:00:00", "hybrid", "595.0", "900.0" ], [ "2026-06-06T21:00:00", "auto", "555.0", "555.0" ], [ "2026-06-06T21:00:00", "manual", "372.5", "555.0" ], [ "2026-06-06T21:01:00", "manual", "610.0", "900.0" ], [ "2026-06-06T21:01:00", "auto", "150.0", "150.0" ] ], "results_mode": "rowsort" } }, { "id": "Q905", "sql": "SELECT histogram(_timestamp, '1 minute') AS _time, COALESCE(scan_category, 'unknown') AS scan_type, AVG(CAST(latency_ms AS FLOAT)) AS avg_lat, COUNT(*) AS cnt FROM \"{stream}\" GROUP BY _time, scan_type ORDER BY _time ASC, cnt DESC LIMIT 15", "category": "histogram", "time_offset": { "start_offset": 54239000000, "end_offset": 54403000000 }, "expected": { "columns": [ "_time", "scan_type", "avg_lat", "cnt" ], "results": [ [ "2026-06-06T21:00:00", "internal", "1233.5", "2" ], [ "2026-06-06T21:00:00", "inbound", "3200.0", "2" ], [ "2026-06-06T21:00:00", "outbound", "78.0", "1" ], [ "2026-06-06T21:01:00", "inbound", "14.0", "3" ], [ "2026-06-06T21:01:00", "outbound", "45.0", "1" ], [ "2026-06-06T21:01:00", "internal", "1900.0", "1" ], [ "2026-06-06T21:02:00", "internal", "230.0", "2" ], [ "2026-06-06T21:02:00", "inbound", "1450.0", "1" ], [ "2026-06-06T21:02:00", "outbound", "45.0", "1" ] ], "results_mode": "rowsort" } }, { "id": "Q906", "sql": "SELECT histogram(_timestamp, '1 minute') AS _time, component_name, SUM(CASE WHEN response_code >= 400 THEN 1 ELSE 0 END) AS errors, COUNT(*) AS total FROM \"{stream}\" GROUP BY _time, component_name ORDER BY _time ASC, errors DESC LIMIT 15", "category": "histogram", "time_offset": { "start_offset": 54299000000, "end_offset": 54463000000 }, "expected": { "columns": [ "_time", "component_name", "errors", "total" ], "results": [ [ "2026-06-06T21:01:00", "zone-controller", "1", "1" ], [ "2026-06-06T21:01:00", "scan-hub", "1", "1" ], [ "2026-06-06T21:01:00", "sorter-engine", "0", "1" ], [ "2026-06-06T21:01:00", "conveyor-driver", "0", "2" ], [ "2026-06-06T21:02:00", "track-router", "2", "2" ], [ "2026-06-06T21:02:00", "scan-hub", "1", "1" ], [ "2026-06-06T21:02:00", "pallet-mapper", "1", "1" ], [ "2026-06-06T21:02:00", "batch-sync", "1", "1" ], [ "2026-06-06T21:03:00", "lane-monitor", "2", "2" ], [ "2026-06-06T21:03:00", "pallet-mapper", "1", "1" ], [ "2026-06-06T21:03:00", "temp-regulator", "0", "1" ] ], "results_mode": "rowsort" } }, { "id": "Q907", "sql": "SELECT histogram(_timestamp, '1 minute') AS _time, COUNT(*) AS cnt, AVG(CAST(latency_ms AS FLOAT)) AS avg_lat, AVG(CAST(lcp_micros AS FLOAT)) AS avg_lcp FROM \"{stream}\" GROUP BY _time ORDER BY _time ASC", "category": "histogram", "time_offset": { "start_offset": 54359000000, "end_offset": 54523000000 }, "expected": { "columns": [ "_time", "cnt", "avg_lat", "avg_lcp" ], "results": [ [ "2026-06-06T21:02:00", "5", "408.8", "2120000.0" ], [ "2026-06-06T21:03:00", "5", "900.2", "2520000.0" ], [ "2026-06-06T21:04:00", "4", "973.25", "1700000.0" ] ], "results_mode": "rowsort" } }, { "id": "Q908", "sql": "SELECT histogram(_timestamp, '1 minute') AS _time, CASE WHEN auth_result = 'pass' THEN 'authenticated' WHEN auth_result IN ('fail', 'denied') THEN 'failed' ELSE 'other' END AS auth_class, COUNT(*) AS cnt FROM \"{stream}\" GROUP BY _time, auth_class ORDER BY _time ASC, cnt DESC LIMIT 15", "category": "histogram", "time_offset": { "start_offset": 54419000000, "end_offset": 54583000000 }, "expected": { "columns": [ "_time", "auth_class", "cnt" ], "results": [ [ "2026-06-06T21:03:00", "failed", "3" ], [ "2026-06-06T21:03:00", "authenticated", "2" ], [ "2026-06-06T21:04:00", "failed", "3" ], [ "2026-06-06T21:04:00", "authenticated", "2" ], [ "2026-06-06T21:05:00", "failed", "2" ], [ "2026-06-06T21:05:00", "authenticated", "2" ] ], "results_mode": "rowsort" } }, { "id": "Q909", "sql": "SELECT histogram(_timestamp, '1 minute') AS _time, COALESCE(org_name, site_name) AS tenant, COUNT(*) AS cnt FROM \"{stream}\" GROUP BY _time, tenant ORDER BY _time ASC, cnt DESC LIMIT 15", "category": "histogram", "time_offset": { "start_offset": 54479000000, "end_offset": 54643000000 }, "expected": { "columns": [ "_time", "tenant", "cnt" ], "results": [ [ "2026-06-06T21:04:00", "warehouse-east", "2" ], [ "2026-06-06T21:04:00", "warehouse-west", "1" ], [ "2026-06-06T21:04:00", "warehouse-central", "1" ], [ "2026-06-06T21:04:00", "warehouse-north", "1" ], [ "2026-06-06T21:05:00", "warehouse-south", "2" ], [ "2026-06-06T21:05:00", "warehouse-east", "1" ], [ "2026-06-06T21:05:00", "warehouse-north", "1" ], [ "2026-06-06T21:05:00", "warehouse-central", "1" ], [ "2026-06-06T21:06:00", "warehouse-west", "2" ], [ "2026-06-06T21:06:00", "warehouse-east", "1" ], [ "2026-06-06T21:06:00", "warehouse-north", "1" ] ], "results_mode": "rowsort" } }, { "id": "Q910", "sql": "SELECT histogram(_timestamp, '1 minute') AS _time, SUM(CASE WHEN bot_flag IS NOT NULL THEN 1 ELSE 0 END) AS bot_flagged, SUM(CASE WHEN bot_flag IS NULL THEN 1 ELSE 0 END) AS clean FROM \"{stream}\" GROUP BY _time ORDER BY _time ASC", "category": "histogram", "time_offset": { "start_offset": 54539000000, "end_offset": 54703000000 }, "expected": { "columns": [ "_time", "bot_flagged", "clean" ], "results": [ [ "2026-06-06T21:05:00", "1", "4" ], [ "2026-06-06T21:06:00", "0", "5" ], [ "2026-06-06T21:07:00", "0", "4" ] ], "results_mode": "rowsort" } }, { "id": "Q911", "sql": "SELECT histogram(_timestamp, '1 minute') AS _time, COUNT(*) AS total, SUM(CASE WHEN re_match(COALESCE(exception_message, ''), 'NullPointer|Timeout|Security') THEN 1 ELSE 0 END) AS error_count FROM \"{stream}\" GROUP BY _time ORDER BY _time ASC", "category": "histogram", "time_offset": { "start_offset": 54599000000, "end_offset": 54763000000 }, "expected": { "columns": [ "_time", "total", "error_count" ], "results": [ [ "2026-06-06T21:06:00", "5", "1" ], [ "2026-06-06T21:07:00", "5", "1" ], [ "2026-06-06T21:08:00", "4", "3" ] ], "results_mode": "rowsort" } }, { "id": "Q912", "sql": "SELECT histogram(_timestamp, '2 minute') AS _time, facility_zone, operation_mode, SUM(throughput_rate) AS total_rate FROM \"{stream}\" GROUP BY _time, facility_zone, operation_mode ORDER BY _time ASC, total_rate DESC LIMIT 20", "category": "histogram", "time_offset": { "start_offset": 54659000000, "end_offset": 54823000000 }, "expected": { "columns": [ "_time", "facility_zone", "operation_mode", "total_rate" ], "results": [ [ "2026-06-06T21:06:00", "ZONE-1", "manual", "900.0" ], [ "2026-06-06T21:06:00", "ZONE-3", "hybrid", "555.0" ], [ "2026-06-06T21:06:00", "ZONE-4", "auto", "190.0" ], [ "2026-06-06T21:06:00", "ZONE-2", "manual", "190.0" ], [ "2026-06-06T21:06:00", "ZONE-2", "auto", "150.0" ], [ "2026-06-06T21:08:00", "ZONE-3", "manual", "1160.0" ], [ "2026-06-06T21:08:00", "ZONE-4", "auto", "725.0" ], [ "2026-06-06T21:08:00", "ZONE-2", "auto", "725.0" ], [ "2026-06-06T21:08:00", "ZONE-1", "manual", "610.0" ], [ "2026-06-06T21:08:00", "ZONE-3", "hybrid", "610.0" ], [ "2026-06-06T21:08:00", "ZONE-2", "manual", "480.0" ], [ "2026-06-06T21:08:00", "ZONE-1", "auto", "320.0" ], [ "2026-06-06T21:08:00", "ZONE-4", "hybrid", "150.0" ] ], "results_mode": "rowsort" } }, { "id": "Q913", "sql": "SELECT histogram(_timestamp, '1 minute') AS _time, COUNT(*) AS cnt, AVG(throughput_rate) AS avg_rate, STDDEV(throughput_rate) AS std_rate FROM \"{stream}\" GROUP BY _time ORDER BY _time ASC", "category": "histogram", "time_offset": { "start_offset": 54719000000, "end_offset": 54883000000 }, "expected": { "columns": [ "_time", "cnt", "avg_rate", "std_rate" ], "results": [ [ "2026-06-06T21:08:00", "5", "376.0", "175.29974329701685" ], [ "2026-06-06T21:09:00", "5", "638.0", "210.84947237306523" ], [ "2026-06-06T21:10:00", "4", "397.5", "186.39116574201327" ] ], "results_mode": "rowsort" } }, { "id": "Q914", "sql": "SELECT histogram(_timestamp, '1 minute') AS _time, region_code, AVG(CAST(latency_ms AS FLOAT)) AS avg_lat, COUNT(*) AS cnt FROM \"{stream}\" WHERE region_code IS NOT NULL GROUP BY _time, region_code ORDER BY _time ASC, cnt DESC LIMIT 15", "category": "histogram", "time_offset": { "start_offset": 54779000000, "end_offset": 54943000000 }, "expected": { "columns": [ "_time", "region_code", "avg_lat", "cnt" ], "results": [ [ "2026-06-06T21:09:00", "AP-SOUTH", "1450.0", "2" ], [ "2026-06-06T21:09:00", "SA-EAST", "567.0", "1" ], [ "2026-06-06T21:09:00", "AP-EAST", "89.0", "1" ], [ "2026-06-06T21:09:00", "EU-NORTH", "230.0", "1" ], [ "2026-06-06T21:10:00", "US-CENTRAL", "3200.0", "2" ], [ "2026-06-06T21:10:00", "EU-CENTRAL", "78.0", "1" ], [ "2026-06-06T21:10:00", "AP-CENTRAL", "1900.0", "1" ], [ "2026-06-06T21:10:00", "SA-EAST", "567.0", "1" ], [ "2026-06-06T21:11:00", "US-EAST", "15.0", "2" ], [ "2026-06-06T21:11:00", "AP-CENTRAL", "1900.0", "1" ], [ "2026-06-06T21:11:00", "US-WEST", "12.0", "1" ] ], "results_mode": "rowsort" } }, { "id": "Q915", "sql": "SELECT histogram(_timestamp, '1 minute') AS _time, tag_b AS severity, COUNT(*) AS cnt, AVG(CAST(latency_ms AS FLOAT)) AS avg_lat FROM \"{stream}\" WHERE latency_ms IS NOT NULL GROUP BY _time, severity ORDER BY _time ASC, cnt DESC LIMIT 15", "category": "histogram", "time_offset": { "start_offset": 54839000000, "end_offset": 55003000000 }, "expected": { "columns": [ "_time", "severity", "cnt", "avg_lat" ], "results": [ [ "2026-06-06T21:10:00", "low", "2", "3200.0" ], [ "2026-06-06T21:10:00", "medium", "1", "567.0" ], [ "2026-06-06T21:10:00", "critical", "1", "78.0" ], [ "2026-06-06T21:10:00", "high", "1", "1900.0" ], [ "2026-06-06T21:11:00", "medium", "2", "15.0" ], [ "2026-06-06T21:11:00", "low", "1", "12.0" ], [ "2026-06-06T21:11:00", "critical", "1", "45.0" ], [ "2026-06-06T21:11:00", "high", "1", "1900.0" ], [ "2026-06-06T21:12:00", "high", "2", "230.0" ], [ "2026-06-06T21:12:00", "critical", "2", "747.5" ] ], "results_mode": "rowsort" } }, { "id": "Q916", "sql": "SELECT histogram(_timestamp, '1 minute') AS _time, COALESCE(guard_mode, 'unknown') AS gmode, COUNT(*) AS cnt FROM \"{stream}\" GROUP BY _time, gmode ORDER BY _time ASC, cnt DESC LIMIT 15", "category": "histogram", "time_offset": { "start_offset": 54899000000, "end_offset": 55063000000 }, "expected": { "columns": [ "_time", "gmode", "cnt" ], "results": [ [ "2026-06-06T21:11:00", "active", "3" ], [ "2026-06-06T21:11:00", "disabled", "1" ], [ "2026-06-06T21:11:00", "passive", "1" ], [ "2026-06-06T21:12:00", "active", "2" ], [ "2026-06-06T21:12:00", "passive", "2" ], [ "2026-06-06T21:12:00", "disabled", "1" ], [ "2026-06-06T21:13:00", "active", "2" ], [ "2026-06-06T21:13:00", "passive", "2" ] ], "results_mode": "rowsort" } }, { "id": "Q917", "sql": "SELECT a._time, a.cnt AS cnt_a, b.cnt AS cnt_b FROM (SELECT histogram(_timestamp, '1 minute') AS _time, COUNT(*) AS cnt FROM \"{stream}\" GROUP BY _time) a LEFT JOIN (SELECT histogram(_timestamp, '1 minute') AS _time, COUNT(*) AS cnt FROM \"{stream2}\" GROUP BY _time) b ON a._time = b._time ORDER BY a._time ASC", "category": "histogram", "time_offset": { "start_offset": 54959000000, "end_offset": 55123000000 }, "expected": { "columns": [ "_time", "cnt_a", "cnt_b" ], "results": [ [ "2026-06-06T21:12:00", "5", "5" ], [ "2026-06-06T21:13:00", "5", "5" ], [ "2026-06-06T21:14:00", "4", "4" ] ], "results_mode": "rowsort" } }, { "id": "Q918", "sql": "SELECT histogram(_timestamp, '1 minute') AS _time, COUNT(DISTINCT component_name) AS distinct_comps, COUNT(DISTINCT region_code) AS distinct_regions FROM \"{stream}\" GROUP BY _time ORDER BY _time ASC", "category": "histogram", "time_offset": { "start_offset": 55019000000, "end_offset": 55183000000 }, "expected": { "columns": [ "_time", "distinct_comps", "distinct_regions" ], "results": [ [ "2026-06-06T21:13:00", "4", "4" ], [ "2026-06-06T21:14:00", "4", "4" ], [ "2026-06-06T21:15:00", "3", "3" ] ], "results_mode": "rowsort" } }, { "id": "Q919", "sql": "SELECT histogram(_timestamp, '1 minute') AS _time, SUM(CASE WHEN match_all('warehouse') THEN 1 ELSE 0 END) AS fts_hits, COUNT(*) AS total FROM \"{stream}\" GROUP BY _time ORDER BY _time ASC", "category": "histogram", "time_offset": { "start_offset": 55079000000, "end_offset": 55243000000 }, "expected": { "columns": [ "_time", "fts_hits", "total" ], "results": [ [ "2026-06-06T21:14:00", "5", "5" ], [ "2026-06-06T21:15:00", "5", "5" ], [ "2026-06-06T21:16:00", "4", "4" ] ], "results_mode": "rowsort", "skip_sqllogictest": true, "skip_row_count": true, "skip_column_check": true } }, { "id": "Q920", "sql": "SELECT histogram(_timestamp, '30 second') AS _time, component_name, APPROX_DISTINCT(region_code) AS approx_regions, COUNT(*) AS cnt FROM \"{stream}\" WHERE component_name IS NOT NULL GROUP BY _time, component_name ORDER BY _time ASC, cnt DESC LIMIT 20", "category": "histogram", "time_offset": { "start_offset": 55139000000, "end_offset": 55303000000 }, "expected": { "columns": [ "_time", "component_name", "approx_regions", "cnt" ], "results": [ [ "2026-06-06T21:15:00", "scan-hub", "1", "2" ], [ "2026-06-06T21:15:00", "zone-controller", "1", "1" ], [ "2026-06-06T21:15:30", "batch-sync", "1", "1" ], [ "2026-06-06T21:15:30", "track-router", "1", "1" ], [ "2026-06-06T21:16:00", "pallet-mapper", "1", "2" ], [ "2026-06-06T21:16:00", "batch-sync", "1", "1" ], [ "2026-06-06T21:16:30", "temp-regulator", "1", "1" ], [ "2026-06-06T21:16:30", "lane-monitor", "1", "1" ], [ "2026-06-06T21:17:00", "charge-checker", "1", "2" ], [ "2026-06-06T21:17:00", "temp-regulator", "1", "1" ], [ "2026-06-06T21:17:30", "sorter-engine", "1", "1" ] ], "results_mode": "rowsort" } }, { "id": "Q921", "sql": "SELECT histogram(_timestamp, '1 minute') AS _time, device_type, AVG(CAST(lcp_micros AS FLOAT)) AS avg_lcp, AVG(CAST(cls_score AS FLOAT)) AS avg_cls FROM \"{stream}\" WHERE device_type IS NOT NULL GROUP BY _time, device_type ORDER BY _time ASC, avg_lcp DESC LIMIT 15", "category": "histogram", "time_offset": { "start_offset": 55199000000, "end_offset": 55363000000 }, "expected": { "columns": [ "_time", "device_type", "avg_lcp", "avg_cls" ], "results": [ [ "2026-06-06T21:16:00", "Computer", "2800000.0", "0.05000000074505806" ], [ "2026-06-06T21:16:00", "Mobile", "1500000.0", "0.21000000461935997" ], [ "2026-06-06T21:16:00", "Tablet", "1500000.0", "0.05999999865889549" ], [ "2026-06-06T21:17:00", "Computer", "2666666.6666666665", "0.06333333191772302" ], [ "2026-06-06T21:17:00", "Mobile", "1600000.0", "0.1849999986588955" ], [ "2026-06-06T21:18:00", "Tablet", "2500000.0", "0.15000000596046448" ], [ "2026-06-06T21:18:00", "Mobile", "1800000.0", "0.10000000149011612" ], [ "2026-06-06T21:18:00", "Computer", "1200000.0", "0.029999999329447746" ] ], "results_mode": "rowsort" } }, { "id": "Q922", "sql": "SELECT histogram(_timestamp, '2 minute') AS _time, COUNT(*) FILTER (WHERE response_code >= 400) AS error_cnt, COUNT(*) FILTER (WHERE response_code < 400) AS success_cnt, ROUND(CAST(COUNT(*) FILTER (WHERE response_code >= 400) AS FLOAT) * 100.0 / NULLIF(COUNT(*), 0), 2) AS error_pct FROM \"{stream}\" GROUP BY _time ORDER BY _time ASC", "category": "histogram", "time_offset": { "start_offset": 55259000000, "end_offset": 55423000000 }, "expected": { "columns": [ "_time", "error_cnt", "success_cnt", "error_pct" ], "results": [ [ "2026-06-06T21:16:00", "0", "5", "0.0" ], [ "2026-06-06T21:18:00", "8", "1", "88.88999938964844" ] ], "results_mode": "rowsort" } } ], "last_query_id": 93 }