Datasets:
File size: 5,329 Bytes
e8c001c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 | INSERT INTO internal_platform_db.t_pipeline_killed_instance_detail_prestosql_009
WITH base_trace AS (
SELECT trace_id
FROM internal_platform_db.t_pipeline_span_info_prestosql_009
WHERE databus_imp_date = '20260608'
AND span_name IN ('pipeline.execute', 'pipeline.killed')
GROUP BY trace_id
HAVING
COUNT(CASE WHEN span_name = 'pipeline.killed' THEN 1 END) > 0
AND
COUNT(CASE WHEN span_name = 'pipeline.execute' THEN 1 END) = 0
),
combined_spans AS (
SELECT
trace_id,
span_name,
start_time,
end_time,
project_id,
task_id,
compute_type,
status_code
FROM internal_platform_db.t_pipeline_span_info_prestosql_009
WHERE databus_imp_date = '20260608'
AND trace_id IN (SELECT trace_id FROM base_trace)
AND span_name IN ('pipeline.killed', 'pipeline.start', 'task.run', 'task.compile', 'resource.request')
UNION ALL
SELECT
trace_id,
'pipeline.execute' AS span_name,
MAX(CASE WHEN span_name = 'pipeline.start' THEN start_time END) AS start_time,
MAX(CASE WHEN span_name = 'pipeline.killed' THEN end_time END) AS end_time,
MAX(CASE WHEN span_name = 'pipeline.killed' THEN project_id END) AS project_id,
MAX(CASE WHEN span_name = 'pipeline.killed' THEN task_id END) AS task_id,
MAX(CASE WHEN span_name = 'pipeline.killed' THEN compute_type END) AS compute_type,
2 AS status_code
FROM internal_platform_db.t_pipeline_span_info_prestosql_009
WHERE databus_imp_date = '20260608'
AND trace_id IN (SELECT trace_id FROM base_trace)
AND span_name IN ('pipeline.start', 'pipeline.killed')
GROUP BY trace_id
),
base_data_time_fixed AS (
SELECT
trace_id,
span_name,
CASE
WHEN span_name = 'pipeline.killed'
THEN MIN(CASE WHEN span_name IN ('task.run', 'pipeline.killed') THEN start_time END)
OVER(PARTITION BY trace_id)
ELSE start_time
END AS start_time,
end_time,
project_id,
task_id,
compute_type,
status_code
FROM combined_spans
),
base_data AS (
SELECT
trace_id,
span_name,
start_time,
end_time,
project_id,
task_id,
compute_type,
status_code,
from_unixtime(CAST(start_time AS BIGINT) / 1000) AS start_date,
from_unixtime(CAST(end_time AS BIGINT) / 1000) AS end_date,
date_diff('day', CAST(from_unixtime(CAST(start_time AS BIGINT) / 1000) AS TIMESTAMP), CAST(from_unixtime(CAST(end_time AS BIGINT) / 1000) AS TIMESTAMP)) AS diff_days
FROM base_data_time_fixed
),
pos_series AS (
SELECT 0 AS pos UNION ALL SELECT 1 AS pos UNION ALL SELECT 2 AS pos UNION ALL SELECT 3 AS pos
),
daily_split_spans AS (
SELECT
trace_id,
span_name,
project_id,
task_id,
compute_type,
status_code,
start_date,
end_date,
diff_days,
CAST(date_add('day', s.pos, CAST(b.start_date AS TIMESTAMP)) AS VARCHAR) AS calc_date,
CASE WHEN s.pos = 0 THEN b.start_time
ELSE CAST(CAST(to_unixtime(CAST(date_add('day', s.pos, CAST(b.start_date AS TIMESTAMP)) AS TIMESTAMP)) AS BIGINT) * 1000 AS VARCHAR)
END AS start_time,
CASE WHEN s.pos = b.diff_days THEN b.end_time
ELSE CAST(CAST(to_unixtime(CAST(date_add('day', s.pos + 1, CAST(b.start_date AS TIMESTAMP)) AS TIMESTAMP)) AS BIGINT) * 1000 - 1 AS VARCHAR)
END AS end_time,
b.start_time AS span_start_time,
b.end_time AS span_end_time
FROM base_data b
INNER JOIN pos_series s ON s.pos <= b.diff_days
),
trace_time_metrics AS (
SELECT
trace_id,
calc_date,
MAX(project_id) AS project_id,
MAX(task_id) AS task_id,
MAX(compute_type) AS compute_type,
MAX(MAX(CASE WHEN span_name = 'pipeline.execute' THEN status_code END)) OVER(PARTITION BY trace_id) AS status_code,
CAST(ROUND((MAX(CASE WHEN span_name = 'pipeline.execute' THEN CAST(end_time AS BIGINT) END) -
MIN(CASE WHEN span_name = 'pipeline.execute' THEN CAST(start_time AS BIGINT) END)) / 1000.0) AS INT) AS instance_run_time,
CAST(ROUND((MAX(CASE WHEN span_name IN ('task.run', 'task.compile', 'pipeline.killed') THEN CAST(end_time AS BIGINT) END) -
MIN(CASE WHEN span_name IN ('task.run', 'task.compile', 'pipeline.killed') THEN CAST(start_time AS BIGINT) END)) / 1000.0) AS INT) AS code_run_time,
CAST(ROUND((MAX(CASE WHEN span_name = 'resource.request' THEN CAST(end_time AS BIGINT) END) -
MIN(CASE WHEN span_name = 'resource.request' THEN CAST(start_time AS BIGINT) END)) / 1000.0) AS INT) AS resource_wait_time
FROM daily_split_spans
GROUP BY trace_id, calc_date
)
SELECT
t1.calc_date AS p_date,
t1.trace_id,
t1.project_id,
t1.task_id,
t1.compute_type,
t1.status_code,
t1.instance_run_time,
t1.code_run_time,
t1.resource_wait_time,
t2.resource_id,
CAST(t2.is_dedicated AS BOOLEAN) AS is_dedicated
FROM trace_time_metrics t1 LEFT JOIN (
SELECT
trace_id,
MAX(resource_id) AS resource_id,
MAX(is_dedicated) AS is_dedicated
FROM internal_platform_db.t_pipeline_resource_info_prestosql_009
WHERE databus_imp_date = '20260608'
GROUP BY trace_id
) t2 ON t1.trace_id = t2.trace_id
;
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