{ "queries": [ { "id": "Q094", "sql": "SELECT ROUND(CAST(COUNT(CASE WHEN load_factor > 70.0 THEN 1 END) AS FLOAT) / NULLIF(COUNT(CASE WHEN load_factor <= 70.0 THEN 1 END), 0) * 100.0, 2) AS high_load_pct FROM \"{stream}\"", "category": "math_functions", "expected": { "columns": [ "high_load_pct" ], "results": [ [ "75.0" ] ], "results_mode": "rowsort" }, "time_offset": { "start_offset": 5579000000, "end_offset": 5743000000 } }, { "id": "Q095", "sql": "SELECT _timestamp, pallet_id, throughput_rate, load_factor, ROUND(SQRT(throughput_rate * load_factor), 2) AS geo_mean_index, ROUND(POWER(throughput_rate / 100.0, 2), 3) AS squared_normalized, ROUND(ABS(load_factor - 50.0), 2) AS load_midpoint_dist FROM \"{stream}\" WHERE throughput_rate > 0 AND load_factor > 0 ORDER BY geo_mean_index DESC LIMIT 12", "category": "math_functions", "expected": { "columns": [ "pallet_id", "throughput_rate", "load_factor", "geo_mean_index", "squared_normalized", "load_midpoint_dist" ], "results": [ [ "PL-007", "900.0", "94.6", "291.79", "81.0", "44.6" ], [ "PL-001", "900.0", "94.6", "291.79", "81.0", "44.6" ], [ "PL-005", "610.0", "99.0", "245.74", "37.21", "49.0" ], [ "PL-007", "610.0", "99.0", "245.74", "37.21", "49.0" ], [ "PL-003", "555.0", "72.8", "201.01", "30.803", "22.8" ], [ "PL-005", "555.0", "72.8", "201.01", "30.803", "22.8" ], [ "PL-003", "320.0", "67.9", "147.4", "10.24", "17.9" ], [ "PL-006", "190.0", "88.1", "129.38", "3.61", "38.1" ], [ "PL-004", "290.0", "55.2", "126.52", "8.41", "5.2" ], [ "PL-004", "480.0", "21.4", "101.35", "23.04", "28.6" ], [ "PL-006", "480.0", "21.4", "101.35", "23.04", "28.6" ], [ "PL-008", "725.0", "12.5", "95.2", "52.563", "37.5" ] ], "results_mode": "rowsort" }, "time_offset": { "start_offset": 5639000000, "end_offset": 5803000000 } }, { "id": "Q096", "sql": "SELECT _timestamp, item_count, package_size, ROUND(CAST(item_count AS FLOAT) / NULLIF(CAST(package_size AS FLOAT), 0), 4) AS item_pkg_ratio, ROUND(CAST(item_count AS FLOAT) - CAST(package_size AS FLOAT) * FLOOR(CAST(item_count AS FLOAT) / CAST(package_size AS FLOAT)), 0) AS remainder, ROUND(GREATEST(CAST(item_count AS FLOAT), CAST(package_size AS FLOAT), CAST(scan_attempts AS FLOAT) * 100.0), 1) AS max_dimension FROM \"{stream}\" WHERE item_count > 0 AND package_size > 0 ORDER BY item_pkg_ratio DESC", "category": "math_functions", "expected": { "columns": [ "item_count", "package_size", "item_pkg_ratio", "remainder", "max_dimension" ], "results": [ [ "200", "100", "2.0", "0.0", "300.0" ], [ "275", "200", "1.375", "75.0", "300.0" ], [ "275", "200", "1.375", "75.0", "300.0" ], [ "500", "600", "0.833299994468689", "500.0", "600.0" ], [ "410", "1000", "0.4099999964237213", "410.0", "1000.0" ], [ "155", "750", "0.20669999718666077", "155.0", "750.0" ], [ "155", "750", "0.20669999718666077", "155.0", "750.0" ], [ "88", "500", "0.17599999904632568", "88.0", "500.0" ], [ "60", "350", "0.17139999568462372", "60.0", "350.0" ], [ "60", "350", "0.17139999568462372", "60.0", "350.0" ], [ "120", "1200", "0.10000000149011612", "120.0", "1200.0" ], [ "120", "1200", "0.10000000149011612", "120.0", "1200.0" ], [ "50", "850", "0.058800000697374344", "50.0", "850.0" ], [ "50", "850", "0.058800000697374344", "50.0", "850.0" ] ], "results_mode": "rowsort" }, "time_offset": { "start_offset": 5699000000, "end_offset": 5863000000 } }, { "id": "Q097", "sql": "SELECT _timestamp, cell_temp, ROUND(cell_temp, 1) AS rounded_temp, FLOOR(cell_temp) AS temp_floor, CEIL(cell_temp) AS temp_ceil, ROUND((cell_temp - FLOOR(cell_temp)) * 100.0, 1) AS fractional_pct, CASE WHEN cell_temp - FLOOR(cell_temp) >= 0.5 THEN 'rounds_up' ELSE 'rounds_down' END AS rounding_behavior FROM \"{stream}\" WHERE cell_temp IS NOT NULL ORDER BY fractional_pct DESC", "category": "math_functions", "expected": { "columns": [ "cell_temp", "rounded_temp", "temp_floor", "temp_ceil", "fractional_pct", "rounding_behavior" ], "results": [ [ "28.9", "28.9", "28.0", "29.0", "90.0", "rounds_up" ], [ "28.9", "28.9", "28.0", "29.0", "90.0", "rounds_up" ], [ "24.8", "24.8", "24.0", "25.0", "80.0", "rounds_up" ], [ "35.7", "35.7", "35.0", "36.0", "70.0", "rounds_up" ], [ "32.5", "32.5", "32.0", "33.0", "50.0", "rounds_up" ], [ "18.5", "18.5", "18.0", "19.0", "50.0", "rounds_up" ], [ "18.5", "18.5", "18.0", "19.0", "50.0", "rounds_up" ], [ "26.3", "26.3", "26.0", "27.0", "30.0", "rounds_down" ], [ "26.3", "26.3", "26.0", "27.0", "30.0", "rounds_down" ], [ "30.1", "30.1", "30.0", "31.0", "10.0", "rounds_down" ], [ "30.1", "30.1", "30.0", "31.0", "10.0", "rounds_down" ], [ "40.0", "40.0", "40.0", "40.0", "0.0", "rounds_down" ], [ "40.0", "40.0", "40.0", "40.0", "0.0", "rounds_down" ], [ "22.0", "22.0", "22.0", "22.0", "0.0", "rounds_down" ] ], "results_mode": "rowsort" }, "time_offset": { "start_offset": 5759000000, "end_offset": 5923000000 } }, { "id": "Q098", "sql": "SELECT facility_zone, COUNT(*) AS n, ROUND(AVG(throughput_rate), 2) AS avg_tput, ROUND(STDDEV(throughput_rate), 2) AS std_tput, ROUND((AVG(throughput_rate * throughput_rate) - POWER(AVG(throughput_rate), 2)), 3) AS variance_manual, ROUND(STDDEV(throughput_rate) / NULLIF(AVG(throughput_rate), 0), 4) AS cv FROM \"{stream}\" WHERE throughput_rate IS NOT NULL GROUP BY facility_zone HAVING COUNT(*) >= 3 ORDER BY cv ASC", "category": "math_functions", "expected": { "columns": [ "facility_zone", "n", "avg_tput", "std_tput", "variance_manual", "cv" ], "results": [ [ "ZONE-1", "4", "667.5", "263.23", "51968.75", "0.3944" ], [ "ZONE-2", "3", "320.0", "147.31", "14466.667", "0.4603" ], [ "ZONE-3", "3", "591.67", "291.73", "56738.889", "0.4931" ], [ "ZONE-4", "4", "277.5", "147.28", "16268.75", "0.5307" ] ], "results_mode": "rowsort" }, "time_offset": { "start_offset": 5819000000, "end_offset": 5983000000 } }, { "id": "Q099", "sql": "SELECT _timestamp, load_factor, charge_remaining, ROUND((load_factor * charge_remaining) / NULLIF(load_factor + charge_remaining, 0), 2) AS harmonic_component, ROUND((POWER(load_factor, 2) + POWER(charge_remaining, 2)) / 2.0, 2) AS quadratic_mean, ROUND(SQRT(POWER(load_factor - charge_remaining, 2)), 2) AS euclidean_dist FROM \"{stream}\" WHERE load_factor > 0 AND charge_remaining > 0 ORDER BY harmonic_component DESC", "category": "math_functions", "expected": { "columns": [ "load_factor", "charge_remaining", "harmonic_component", "quadratic_mean", "euclidean_dist" ], "results": [ [ "99.0", "95.0", "48.48", "9413.0", "4.0" ], [ "67.9", "75.3", "35.7", "5140.25", "7.4" ], [ "67.9", "75.3", "35.7", "5140.25", "7.4" ], [ "55.2", "66.6", "30.18", "3741.3", "11.4" ], [ "94.6", "42.5", "29.33", "5377.7", "52.1" ], [ "94.6", "42.5", "29.33", "5377.7", "52.1" ], [ "45.3", "58.0", "25.43", "2708.05", "12.7" ], [ "88.1", "25.0", "19.47", "4193.3", "63.1" ], [ "21.4", "88.7", "17.24", "4162.83", "67.3" ], [ "21.4", "88.7", "17.24", "4162.83", "67.3" ], [ "33.0", "33.3", "16.57", "1098.95", "0.3" ], [ "33.0", "33.3", "16.57", "1098.95", "0.3" ], [ "12.5", "5.0", "3.57", "90.63", "7.5" ], [ "12.5", "5.0", "3.57", "90.63", "7.5" ] ], "results_mode": "rowsort" }, "time_offset": { "start_offset": 5879000000, "end_offset": 6043000000 } }, { "id": "Q100", "sql": "WITH global_stats AS (SELECT AVG(throughput_rate) AS avg_tput, AVG(throughput_rate * throughput_rate) - AVG(throughput_rate) * AVG(throughput_rate) AS var_tput, AVG(load_factor) AS avg_load, AVG(load_factor * load_factor) - AVG(load_factor) * AVG(load_factor) AS var_load FROM \"{stream}\"), scored AS (SELECT t._timestamp, t.throughput_rate, t.load_factor, t.charge_remaining, gs.avg_tput, gs.avg_load, ROUND((t.throughput_rate - gs.avg_tput) / NULLIF(SQRT(gs.var_tput), 0), 4) AS zscore_tput, ROUND((t.load_factor - gs.avg_load) / NULLIF(SQRT(gs.var_load), 0), 4) AS zscore_load, ABS((t.throughput_rate - gs.avg_tput) / NULLIF(SQRT(gs.var_tput), 0)) AS abs_zscore_tput FROM \"{stream}\" t CROSS JOIN global_stats gs WHERE t.throughput_rate IS NOT NULL AND t.load_factor IS NOT NULL) SELECT _timestamp, throughput_rate, load_factor, charge_remaining, avg_tput, avg_load, zscore_tput, zscore_load FROM scored ORDER BY abs_zscore_tput DESC LIMIT 12", "category": "math_functions", "expected": { "columns": [ "throughput_rate", "load_factor", "charge_remaining", "avg_tput", "avg_load", "zscore_tput", "zscore_load" ], "results": [ [ "190.0", "88.1", "25.0", "550.0", "55.16428571428572", "-1.5605", "1.0672" ], [ "190.0", "88.1", "25.0", "550.0", "55.16428571428572", "-1.5605", "1.0672" ], [ "900.0", "94.6", "42.5", "550.0", "55.16428571428572", "1.5171", "1.2779" ], [ "840.0", "33.0", "33.3", "550.0", "55.16428571428572", "1.2571", "-0.7182" ], [ "840.0", "33.0", "33.3", "550.0", "55.16428571428572", "1.2571", "-0.7182" ], [ "290.0", "55.2", "66.6", "550.0", "55.16428571428572", "-1.127", "0.0012" ], [ "320.0", "67.9", "75.3", "550.0", "55.16428571428572", "-0.997", "0.4127" ], [ "725.0", "12.5", "5.0", "550.0", "55.16428571428572", "0.7586", "-1.3825" ], [ "725.0", "12.5", "5.0", "550.0", "55.16428571428572", "0.7586", "-1.3825" ], [ "480.0", "21.4", "88.7", "550.0", "55.16428571428572", "-0.3034", "-1.0941" ], [ "480.0", "21.4", "88.7", "550.0", "55.16428571428572", "-0.3034", "-1.0941" ], [ "610.0", "99.0", "95.0", "550.0", "55.16428571428572", "0.2601", "1.4204" ] ], "results_mode": "rowsort" }, "time_offset": { "start_offset": 5939000000, "end_offset": 6103000000 } }, { "id": "Q101", "sql": "SELECT _timestamp, pallet_id, cell_temp, charge_remaining, ROUND(CAST(PERCENT_RANK() OVER (ORDER BY cell_temp) AS FLOAT), 4) AS temp_percentile, ROUND(cell_temp - AVG(cell_temp) OVER (), 2) AS temp_mean_diff, ROUND((cell_temp - AVG(cell_temp) OVER ()) / NULLIF(STDDEV(cell_temp) OVER (), 0), 4) AS temp_zscore_window FROM \"{stream}\" WHERE cell_temp IS NOT NULL ORDER BY temp_percentile DESC", "category": "math_functions", "expected": { "columns": [ "pallet_id", "cell_temp", "charge_remaining", "temp_percentile", "temp_mean_diff", "temp_zscore_window" ], "results": [ [ "PL-001", "40.0", "33.3", "0.9230999946594238", "11.98", "1.5621" ], [ "PL-003", "40.0", "33.3", "0.9230999946594238", "11.98", "1.5621" ], [ "PL-002", "35.7", "58.0", "0.7692000269889832", "7.68", "1.0014" ], [ "PL-004", "35.7", "58.0", "0.7692000269889832", "7.68", "1.0014" ], [ "PL-002", "32.5", "5.0", "0.692300021648407", "4.48", "0.5841" ], [ "PL-001", "30.1", "42.5", "0.6154000163078308", "2.08", "0.2711" ], [ "PL-006", "26.3", "25.0", "0.46149998903274536", "-1.72", "-0.2245" ], [ "PL-008", "26.3", "25.0", "0.46149998903274536", "-1.72", "-0.2245" ], [ "PL-006", "24.8", "88.7", "0.3846000134944916", "-3.22", "-0.4201" ], [ "PL-005", "22.0", "10.0", "0.23080000281333923", "-6.02", "-0.7853" ], [ "PL-007", "22.0", "10.0", "0.23080000281333923", "-6.02", "-0.7853" ], [ "PL-003", "19.2", "75.3", "0.07689999788999557", "-8.82", "-1.1504" ], [ "PL-005", "19.2", "75.3", "0.07689999788999557", "-8.82", "-1.1504" ], [ "PL-004", "18.5", "66.6", "0.0", "-9.52", "-1.2417" ] ], "results_mode": "rowsort" }, "time_offset": { "start_offset": 5999000000, "end_offset": 6163000000 } }, { "id": "Q102", "sql": "SELECT _timestamp, ROUND(defect_limit, 2) AS defect, ROUND(load_factor, 2) AS load, ROUND(CAST(LN(NULLIF(throughput_rate, 0)) AS FLOAT), 4) AS log_tput, ROUND(CAST(LOG10(NULLIF(item_count, 0)) AS FLOAT), 4) AS log10_items, ROUND(CAST(EXP(ROUND(defect_limit, 2)) AS FLOAT), 4) AS exp_defect FROM \"{stream}\" WHERE throughput_rate > 0 AND item_count > 0 AND defect_limit <= 2.0 ORDER BY log_tput DESC LIMIT 12", "category": "math_functions", "expected": { "columns": [ "defect", "load", "log_tput", "log10_items", "exp_defect" ], "results": [ [ "1.0", "94.6", "6.8024001121521", "1.9444999694824219", "2.7183001041412354" ], [ "1.2", "33.0", "6.733399868011475", "1.6990000009536743", "3.3201000690460205" ], [ "0.8", "12.5", "6.58620023727417", "2.6989998817443848", "2.2255001068115234" ], [ "0.8", "12.5", "6.58620023727417", "2.6989998817443848", "2.2255001068115234" ], [ "2.0", "67.9", "5.7683000564575195", "2.612799882888794", "7.389100074768066" ], [ "2.0", "67.9", "5.7683000564575195", "2.612799882888794", "7.389100074768066" ], [ "0.5", "88.1", "5.247000217437744", "2.5315001010894775", "1.6486999988555908" ], [ "0.5", "88.1", "5.247000217437744", "2.5315001010894775", "1.6486999988555908" ], [ "1.5", "45.3", "5.0106000900268555", "2.1902999877929688", "4.4816999435424805" ], [ "1.5", "45.3", "5.0106000900268555", "2.1902999877929688", "4.4816999435424805" ] ], "results_mode": "rowsort" }, "time_offset": { "start_offset": 6059000000, "end_offset": 6223000000 } }, { "id": "Q167", "sql": "SELECT duration_range, COUNT(*) AS query_count, approx_percentile_cont(CAST(resp_time AS FLOAT), 0.95) AS p95 FROM ( SELECT CASE WHEN ((MAX(lcp_micros) - MIN(lcp_micros)) / 60000000) < 240 THEN '1. p95_0h_4h' WHEN ((MAX(lcp_micros) - MIN(lcp_micros)) / 60000000) >= 240 AND ((MAX(lcp_micros) - MIN(lcp_micros)) / 60000000) < 720 THEN '2. p95_4h_12h' WHEN ((MAX(lcp_micros) - MIN(lcp_micros)) / 60000000) >= 720 AND ((MAX(lcp_micros) - MIN(lcp_micros)) / 60000000) < 1440 THEN '3. p95_12h_1d' ELSE '4. p95_gt_1d' END AS duration_range, COUNT(_timestamp) AS query_count, action_category, MAX(cls_score) AS resp_time FROM \"{stream}\" WHERE action_category IN ('performanceMetric', 'navigationTiming') GROUP BY action_category, _timestamp ) GROUP BY duration_range ORDER BY duration_range ASC", "category": "math_functions", "time_offset": { "start_offset": 9959000000, "end_offset": 10123000000 }, "expected": { "columns": [ "duration_range", "query_count", "p95" ], "results": [ [ "1. p95_0h_4h", "9", "0.30000001192092896" ] ], "results_mode": "rowsort" } }, { "id": "Q192", "sql": "SELECT facility_zone,\n COUNT(*) AS cnt,\n AVG(throughput_rate) AS avg_throughput,\n approx_percentile_cont(CAST(throughput_rate AS FLOAT), 0.50) AS p50,\n approx_percentile_cont(CAST(throughput_rate AS FLOAT), 0.90) AS p90,\n approx_percentile_cont(CAST(throughput_rate AS FLOAT), 0.95) AS p95,\n approx_percentile_cont(CAST(throughput_rate AS FLOAT), 0.99) AS p99,\n approx_distinct(sorter_model) AS unique_sorters\nFROM \"{stream}\"\nWHERE throughput_rate > 0\nGROUP BY facility_zone\nHAVING COUNT(*) >= 1\nORDER BY avg_throughput DESC", "category": "math_functions", "time_offset": { "start_offset": 11459000000, "end_offset": 11623000000 }, "expected": { "columns": [ "facility_zone", "cnt", "avg_throughput", "p50", "p90", "p95", "p99", "unique_sorters" ], "results": [ [ "ZONE-1", "3", "610.0", "610.0", "900.0", "900.0", "900.0", "1" ], [ "ZONE-3", "4", "581.25", "582.5", "840.0", "840.0", "840.0", "1" ], [ "ZONE-2", "4", "386.25", "335.0", "725.0", "725.0", "725.0", "2" ], [ "ZONE-4", "3", "355.0", "190.0", "725.0", "725.0", "725.0", "1" ] ], "results_mode": "rowsort", "skip_sqllogictest": true } }, { "id": "Q193", "sql": "SELECT\n CASE\n WHEN load_factor >= 70.0 THEN 'HIGH'\n WHEN load_factor >= 40.0 THEN 'MED'\n ELSE 'LOW'\n END AS load_band,\n COUNT(*) AS cnt,\n AVG(throughput_rate) AS avg_throughput,\n STDDEV(throughput_rate) AS stddev_throughput,\n (MAX(throughput_rate) - MIN(throughput_rate)) AS tput_range,\n SQRT(AVG(throughput_rate * throughput_rate) - AVG(throughput_rate) * AVG(throughput_rate)) AS computed_stddev\nFROM \"{stream}\"\nWHERE throughput_rate > 0\nGROUP BY\n CASE\n WHEN load_factor >= 70.0 THEN 'HIGH'\n WHEN load_factor >= 40.0 THEN 'MED'\n ELSE 'LOW'\n END\nHAVING COUNT(*) >= 1\nORDER BY avg_throughput DESC", "category": "math_functions", "time_offset": { "start_offset": 11519000000, "end_offset": 11683000000 }, "expected": { "columns": [ "load_band", "cnt", "avg_throughput", "stddev_throughput", "tput_range", "computed_stddev" ], "results": [ [ "LOW", "4", "692.5", "151.6849805792694", "360.0", "131.3630465541965" ], [ "HIGH", "5", "504.0", "177.67245143803245", "420.0", "158.91507165778833" ], [ "MED", "5", "274.0", "70.92249290598858", "170.0", "63.43500610861482" ] ], "results_mode": "rowsort" } }, { "id": "Q351", "sql": "SELECT (100.0 * COUNT(CASE WHEN response_code >= 400 THEN 1 END) / COUNT(*)) AS error_rate, (100.0 * COUNT(CASE WHEN latency_ms > 500 THEN 1 END) / COUNT(*)) AS slow_rate, COUNT(*) AS total FROM \"{stream}\" WHERE action_category = 'performanceMetric'", "category": "math_functions", "time_offset": { "start_offset": 20999000000, "end_offset": 21073000000 }, "expected": { "columns": [ "error_rate", "slow_rate", "total" ], "results": [ [ "100.0", "50.0", "4" ] ], "results_mode": "rowsort" } }, { "id": "Q352", "sql": "SELECT page_slug, ROUND(AVG(CAST(latency_ms AS FLOAT)), 2) AS avg_latency, ROUND(MAX(latency_ms), 2) AS max_latency, ROUND(MIN(latency_ms), 2) AS min_latency FROM \"{stream}\" WHERE latency_ms > 0 AND action_category = 'performanceMetric' GROUP BY page_slug", "category": "math_functions", "time_offset": { "start_offset": 21059000000, "end_offset": 21133000000 }, "expected": { "columns": [ "page_slug", "avg_latency", "max_latency", "min_latency" ], "results": [ [ "itemPage", "956.0", "1900", "12" ] ], "results_mode": "rowsort" } }, { "id": "Q353", "sql": "SELECT ABS(MAX(latency_ms) - MIN(latency_ms)) AS latency_spread, AVG(CAST(latency_ms AS FLOAT)) AS avg_latency, COUNT(*) AS cnt FROM \"{stream}\" WHERE latency_ms > 0 AND action_category = 'performanceMetric'", "category": "math_functions", "time_offset": { "start_offset": 21119000000, "end_offset": 21193000000 }, "expected": { "columns": [ "latency_spread", "avg_latency", "cnt" ], "results": [ [ "1438", "386.8", "5" ] ], "results_mode": "rowsort" } }, { "id": "Q354", "sql": "SELECT SQRT(AVG(CAST(latency_ms * latency_ms AS FLOAT)) - AVG(CAST(latency_ms AS FLOAT)) * AVG(CAST(latency_ms AS FLOAT))) AS stddev_approx, AVG(CAST(latency_ms AS FLOAT)) AS mean, COUNT(*) AS cnt FROM \"{stream}\" WHERE latency_ms > 0 AND action_category = 'performanceMetric'", "category": "math_functions", "time_offset": { "start_offset": 21179000000, "end_offset": 21253000000 }, "expected": { "columns": [ "stddev_approx", "mean", "cnt" ], "results": [ [ "540.1693407318363", "725.5", "6" ] ], "results_mode": "rowsort" } }, { "id": "Q355", "sql": "SELECT (CASE WHEN COUNT(CASE WHEN action_category = 'navigation' THEN 1 END) > 0 THEN ROUND(100.0 * COUNT(CASE WHEN action_category = 'performanceMetric' THEN 1 END) / COUNT(CASE WHEN action_category = 'navigation' THEN 1 END), 1) ELSE 0 END) AS metric_to_nav_ratio FROM \"{stream}\" WHERE org_name = 'warehouse-east'", "category": "math_functions", "time_offset": { "start_offset": 21239000000, "end_offset": 21313000000 }, "expected": { "columns": [ "metric_to_nav_ratio" ], "results": [ [ "0.0" ] ], "results_mode": "rowsort" } }, { "id": "Q356", "sql": "SELECT FLOOR(AVG(CAST(latency_ms AS FLOAT)) / 100) * 100 AS latency_bucket_floor, CEIL(AVG(CAST(latency_ms AS FLOAT)) / 100) * 100 AS latency_bucket_ceil, COUNT(*) AS cnt FROM \"{stream}\" WHERE latency_ms > 0 GROUP BY page_slug", "category": "math_functions", "time_offset": { "start_offset": 21299000000, "end_offset": 21373000000 }, "expected": { "columns": [ "latency_bucket_floor", "latency_bucket_ceil", "cnt" ], "results": [ [ "0.0", "100.0", "3" ], [ "500.0", "600.0", "4" ] ], "results_mode": "rowsort" } }, { "id": "Q357", "sql": "SELECT component_name, ROUND(100.0 * COUNT(CASE WHEN response_code >= 400 THEN 1 END) / NULLIF(COUNT(*), 0), 2) AS error_pct, COUNT(*) AS total FROM \"{stream}\" WHERE action_category = 'performanceMetric' GROUP BY component_name", "category": "math_functions", "time_offset": { "start_offset": 21359000000, "end_offset": 21433000000 }, "expected": { "columns": [ "component_name", "error_pct", "total" ], "results": [ [ "batch-sync", "100.0", "1" ], [ "pallet-mapper", "100.0", "2" ], [ "lane-monitor", "100.0", "1" ], [ "track-router", "100.0", "2" ] ], "results_mode": "rowsort" } }, { "id": "Q358", "sql": "SELECT COUNT(*) AS n, SUM(CAST(latency_ms AS FLOAT)) AS sum_x, SUM(CAST(latency_ms * latency_ms AS FLOAT)) AS sum_x2, AVG(CAST(latency_ms AS FLOAT)) AS mean, (SUM(CAST(latency_ms * latency_ms AS FLOAT)) / COUNT(*) - AVG(CAST(latency_ms AS FLOAT)) * AVG(CAST(latency_ms AS FLOAT))) AS variance_approx FROM \"{stream}\" WHERE latency_ms > 0 AND action_category = 'performanceMetric'", "category": "math_functions", "time_offset": { "start_offset": 21419000000, "end_offset": 21493000000 }, "expected": { "columns": [ "n", "sum_x", "sum_x2", "mean", "variance_approx" ], "results": [ [ "4", "3123.0", "4260899.0", "780.75", "455654.1875" ] ], "results_mode": "rowsort" } }, { "id": "Q479", "sql": "SELECT ROUND(SQRT(AVG(CAST(latency_ms * latency_ms AS FLOAT))), 2) AS rms_latency, ROUND(AVG(CAST(latency_ms AS FLOAT)), 2) AS avg_latency, COUNT(*) AS cnt FROM \"{stream}\" WHERE latency_ms > 0 AND action_category = 'performanceMetric'", "category": "math_functions", "time_offset": { "start_offset": 28679000000, "end_offset": 28753000000 }, "expected": { "columns": [ "rms_latency", "avg_latency", "cnt" ], "results": [ [ "1343.53", "956.0", "4" ] ], "results_mode": "rowsort" } }, { "id": "Q480", "sql": "SELECT ROUND(AVG(CAST(latency_ms AS FLOAT)), 1) AS mean, ROUND(STDDEV(CAST(latency_ms AS FLOAT)), 2) AS stddev, ROUND(STDDEV(CAST(latency_ms AS FLOAT)) / NULLIF(AVG(CAST(latency_ms AS FLOAT)), 0) * 100, 2) AS cv_pct FROM \"{stream}\" WHERE latency_ms > 0 AND action_category = 'performanceMetric'", "category": "math_functions", "time_offset": { "start_offset": 28739000000, "end_offset": 28813000000 }, "expected": { "columns": [ "mean", "stddev", "cv_pct" ], "results": [ [ "646.2", "737.92", "114.19" ] ], "results_mode": "rowsort" } }, { "id": "Q481", "sql": "SELECT component_name, ROUND(ABS(AVG(CAST(latency_ms AS FLOAT)) - MAX(oa.avg_latency)), 2) AS abs_deviation, COUNT(*) AS cnt FROM \"{stream}\" CROSS JOIN (SELECT AVG(CAST(latency_ms AS FLOAT)) AS avg_latency FROM \"{stream}\" WHERE latency_ms > 0) oa WHERE latency_ms > 0 AND component_name IS NOT NULL GROUP BY component_name ORDER BY abs_deviation DESC, component_name ASC LIMIT 5", "category": "math_functions", "time_offset": { "start_offset": 28799000000, "end_offset": 28873000000 }, "expected": { "columns": [ "component_name", "abs_deviation", "cnt" ], "results": [ [ "temp-regulator", "1961.0", "2" ], [ "charge-checker", "1161.0", "1" ], [ "pallet-mapper", "1150.0", "2" ], [ "lane-monitor", "672.0", "1" ], [ "batch-sync", "211.0", "1" ] ], "results_mode": "rowsort" } }, { "id": "Q482", "sql": "SELECT FLOOR(CAST(latency_ms AS FLOAT) / 10) * 10 AS latency_floor, CEIL(CAST(latency_ms AS FLOAT) / 10) * 10 AS latency_ceil, COUNT(*) AS cnt FROM \"{stream}\" WHERE latency_ms > 0 AND latency_ms <= 5000 GROUP BY latency_floor, latency_ceil ORDER BY latency_floor ASC", "category": "math_functions", "time_offset": { "start_offset": 28859000000, "end_offset": 28933000000 }, "expected": { "columns": [ "latency_floor", "latency_ceil", "cnt" ], "results": [ [ "10.0", "20.0", "3" ], [ "70.0", "80.0", "2" ], [ "1900.0", "1900.0", "1" ], [ "3200.0", "3200.0", "1" ] ], "results_mode": "rowsort" } }, { "id": "Q483", "sql": "SELECT ROUND(POWER(2.0, FLOOR(LOG2(CAST(NULLIF(latency_ms, 0) AS FLOAT)))), 0) AS latency_power2_bucket, COUNT(*) AS cnt FROM \"{stream}\" WHERE latency_ms > 0 GROUP BY latency_power2_bucket ORDER BY latency_power2_bucket ASC", "category": "math_functions", "time_offset": { "start_offset": 28919000000, "end_offset": 28993000000 }, "expected": { "columns": [ "latency_power2_bucket", "cnt" ], "results": [ [ "8.0", "3" ], [ "32.0", "1" ], [ "128.0", "2" ], [ "1024.0", "1" ] ], "results_mode": "rowsort" } }, { "id": "Q484", "sql": "SELECT ROUND(100.0 * COUNT(CASE WHEN error_code IS NOT NULL THEN 1 END) / NULLIF(COUNT(*), 0), 2) AS error_pct, ROUND(100.0 * COUNT(CASE WHEN threat_flag = 'true' THEN 1 END) / NULLIF(COUNT(*), 0), 2) AS threat_pct, ROUND(100.0 * COUNT(CASE WHEN guard_mode = 'active' THEN 1 END) / NULLIF(COUNT(*), 0), 2) AS active_guard_pct FROM \"{stream}\" WHERE action_category = 'performanceMetric'", "category": "math_functions", "time_offset": { "start_offset": 28979000000, "end_offset": 29053000000 }, "expected": { "columns": [ "error_pct", "threat_pct", "active_guard_pct" ], "results": [ [ "100.0", "50.0", "16.67" ] ], "results_mode": "rowsort" } }, { "id": "Q995", "sql": "SELECT component_name, AVG(CAST(latency_ms AS FLOAT)) AS avg_lat, AVG(CAST(lcp_micros AS FLOAT)) AS avg_lcp FROM \"{stream}\" WHERE latency_ms IS NOT NULL AND lcp_micros IS NOT NULL GROUP BY component_name HAVING COUNT(*) > 1 ORDER BY avg_lat DESC LIMIT 10", "category": "math_functions", "time_offset": { "start_offset": 59639000000, "end_offset": 59713000000 }, "expected": { "columns": [ "component_name", "avg_lat", "avg_lcp" ], "results": [ [ "temp-regulator", "3200.0", "2100000.0" ], [ "sorter-engine", "1900.0", "1100000.0" ] ], "results_mode": "rowsort" } }, { "id": "Q996", "sql": "SELECT SQRT(AVG(CAST(latency_ms AS FLOAT) * CAST(latency_ms AS FLOAT)) - AVG(CAST(latency_ms AS FLOAT)) * AVG(CAST(latency_ms AS FLOAT))) AS std_lat, AVG(CAST(latency_ms AS FLOAT)) AS avg_lat, COUNT(*) AS cnt FROM \"{stream}\" WHERE latency_ms IS NOT NULL", "category": "math_functions", "time_offset": { "start_offset": 59699000000, "end_offset": 59773000000 }, "expected": { "columns": [ "std_lat", "avg_lat", "cnt" ], "results": [ [ "647.6986575718744", "323.14285714285717", "7" ] ], "results_mode": "rowsort" } }, { "id": "Q997", "sql": "SELECT component_name, AVG(CAST(throughput_rate AS FLOAT)) AS avg_rate, AVG(CAST(load_factor AS FLOAT)) AS avg_load, AVG(CAST(throughput_rate AS FLOAT) * CAST(load_factor AS FLOAT)) - AVG(CAST(throughput_rate AS FLOAT)) * AVG(CAST(load_factor AS FLOAT)) AS cov_approx FROM \"{stream}\" GROUP BY component_name HAVING COUNT(*) > 1 ORDER BY ABS(cov_approx) DESC LIMIT 10", "category": "math_functions", "time_offset": { "start_offset": 59759000000, "end_offset": 59833000000 }, "expected": { "columns": [ "component_name", "avg_rate", "avg_load", "cov_approx" ], "results": [ [ "track-router", "610.0", "99.0", "0.0" ], [ "pallet-mapper", "840.0", "33.0", "0.0" ] ], "results_mode": "rowsort" } }, { "id": "Q998", "sql": "SELECT facility_zone, AVG(throughput_rate) AS avg_rate, STDDEV(throughput_rate) AS std_rate, STDDEV(throughput_rate) / NULLIF(AVG(throughput_rate), 0) AS cv FROM \"{stream}\" GROUP BY facility_zone ORDER BY cv DESC", "category": "math_functions", "time_offset": { "start_offset": 59819000000, "end_offset": 59893000000 }, "expected": { "columns": [ "facility_zone", "avg_rate", "std_rate", "cv" ], "results": [ [ "ZONE-4", "240.0", "70.71067811865476", "0.2946278254943948" ], [ "ZONE-2", "240.0", "70.71067811865476", "0.2946278254943948" ], [ "ZONE-1", "870.0", "42.42640687119285", "0.048765984909417075" ], [ "ZONE-3", "555.0", "None", "None" ] ], "results_mode": "rowsort" } }, { "id": "Q999", "sql": "WITH rates AS (SELECT CAST(throughput_rate AS FLOAT) AS rate FROM \"{stream}\"), agg AS (SELECT AVG(rate) AS mean_rate, COUNT(*) AS n FROM rates) SELECT ROUND(SUM((rate - mean_rate) * (rate - mean_rate)) / NULLIF(MAX(n), 0), 4) AS variance_pop, ROUND(MAX(mean_rate), 2) AS avg_rate, MAX(n) AS cnt FROM rates, agg", "category": "math_functions", "time_offset": { "start_offset": 59879000000, "end_offset": 59953000000 }, "expected": { "columns": [ "variance_pop", "avg_rate", "cnt" ], "results": [ [ "85081.6327", "465.71", "7" ] ], "results_mode": "rowsort", "skip_sqllogictest": true, "skip_row_count": true } } ], "last_query_id": 102 }