Datasets:
File size: 7,647 Bytes
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WITH
base_data_raw AS (
SELECT DISTINCT
trace_id,
span_name,
start_time,
end_time,
datawd_project_id,
datawd_task_id,
datawd_task_instance_id,
compute_type,
status_code
FROM internal_platform_db.notebook_span_info_query_engine_005
WHERE databus_imp_date >= '2026050400'
AND databus_imp_date <= '2026050700'
AND trace_id IN (
SELECT trace_id
FROM internal_platform_db.notebook_span_info_query_engine_005
WHERE databus_imp_date >= '2026050700'
AND databus_imp_date <= '2026050700'
AND compute_type = 'ray'
AND service_name = 'notebook-runner'
AND span_name = 'runner.execute'
GROUP BY trace_id
)
AND (
span_name = 'runner.execute'
OR
span_name IN ('execute.code', 'execute.code.cell', 'client.execute.code', 'set.permanent.compute', 'create.non.permanent.compute', 'runner.killed')
)
),
base_data_time_fixed AS (
SELECT
trace_id,
span_name,
CASE
WHEN span_name = 'runner.killed'
THEN MIN(CASE WHEN span_name IN ('execute.code', 'execute.code.cell', 'client.execute.code', 'runner.killed') THEN start_time END)
OVER(PARTITION BY trace_id)
ELSE start_time
END AS start_time,
CASE
WHEN span_name = 'runner.execute'
THEN MAX(CASE WHEN span_name IN ('runner.execute', 'runner.killed') THEN end_time END)
OVER(PARTITION BY trace_id)
ELSE end_time
END AS end_time,
datawd_project_id,
datawd_task_id,
datawd_task_instance_id,
compute_type,
status_code
FROM base_data_raw
),
base_data AS (
SELECT
trace_id,
span_name,
start_time,
end_time,
datawd_project_id,
datawd_task_id,
datawd_task_instance_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,
datediff(from_unixtime(CAST(end_time AS BIGINT) / 1000), from_unixtime(CAST(start_time AS BIGINT) / 1000)) 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,
datawd_project_id,
datawd_task_id,
datawd_task_instance_id,
compute_type,
status_code,
start_date,
end_date,
diff_days,
date_add(b.start_date, s.pos) AS calc_date,
CASE WHEN s.pos = 0 THEN CAST(b.start_time AS BIGINT)
ELSE unix_timestamp(cast(date_add(b.start_date, s.pos) as timestamp)) * 1000
END AS start_time,
CASE WHEN s.pos = b.diff_days THEN CAST(b.end_time AS BIGINT)
ELSE (unix_timestamp(cast(date_add(b.start_date, s.pos + 1) as timestamp)) * 1000) - 1
END AS end_time,
CAST(b.start_time AS BIGINT) AS span_start_time,
CAST(b.end_time AS BIGINT) 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(datawd_project_id) AS datawd_project_id,
MAX(datawd_task_id) AS datawd_task_id,
MAX(datawd_task_instance_id) AS datawd_task_instance_id,
MAX(compute_type) AS compute_type,
MAX(MAX(CASE WHEN span_name = 'runner.execute' THEN status_code END)) OVER(PARTITION BY trace_id) AS status_code,
ROUND((MAX(CASE WHEN span_name = 'runner.execute' THEN end_time END) -
MIN(CASE WHEN span_name = 'runner.execute' THEN start_time END)) / 1000.0) AS instance_run_time,
ROUND((MAX(CASE WHEN span_name IN ('execute.code', 'client.execute.code', 'execute.code.cell', 'runner.killed' ) THEN end_time END) -
MIN(CASE WHEN span_name IN ('execute.code', 'client.execute.code', 'execute.code.cell', 'runner.killed' ) THEN start_time END)) / 1000.0) AS code_run_time,
ROUND((MAX(CASE WHEN span_name IN ('set.permanent.compute', 'create.non.permanent.compute') THEN end_time END) -
MIN(CASE WHEN span_name IN ('set.permanent.compute', 'create.non.permanent.compute') THEN start_time END)) / 1000.0) AS resource_wait_time,
from_unixtime(MIN(CASE WHEN span_name IN ('execute.code', 'client.execute.code', 'execute.code.cell', 'runner.killed' ) THEN start_time END) / 1000) AS code_start_time,
from_unixtime(MAX(CASE WHEN span_name IN ('execute.code', 'client.execute.code', 'execute.code.cell', 'runner.killed' ) THEN end_time END) / 1000) AS code_end_time,
from_unixtime(MIN(CASE WHEN span_name = 'runner.execute' THEN span_start_time END) / 1000) AS instance_start_time,
from_unixtime(MAX(CASE WHEN span_name = 'runner.execute' THEN span_end_time END) / 1000) AS instance_end_time
FROM daily_split_spans
GROUP BY trace_id, calc_date
),
gputj_dim AS (
SELECT
t1.service_id,
t2.pod_name
FROM internal_platform_db.dwd_gputj_service_instance_map_query_engine_005 t1
INNER JOIN internal_platform_db.dwd_ml_platform_instance_podname_query_engine_005 t2
ON t1.instance_uuid = t2.instance_uuid
AND t1.dt=if('2026050700'>='2025080900', '2026050700', '2025080900')
AND t2.dt=if('2026050700'>='2025060519', '2026050700', '2025060519')
GROUP BY t1.service_id, t2.pod_name
),
gpu_metrics AS (
select
pkg_agg_time,
pod_name,
k8s_container_vgpu_gpu_util_sum / k8s_container_vgpu_gpu_util_count AS gpu_util,
k8s_container_resource_request_gpu_sum / k8s_container_resource_request_gpu_count AS gpu_count
from internal_platform_db.gputj_gpu_info_parsed_agg_1min_query_engine_005
where dt >= '2026050400'
AND dt <= '2026050700'
AND ( k8s_container_vgpu_gpu_util_count > 0 OR k8s_container_resource_request_gpu_count > 0 )
AND pod_name IS NOT NULL
)
SELECT
t1.trace_id,
t1.datawd_project_id,
t1.datawd_task_id,
t1.datawd_task_instance_id,
t1.compute_type,
t1.status_code,
t1.instance_run_time,
t1.code_run_time,
t1.resource_wait_time,
t1.code_start_time,
t1.code_end_time,
t1.instance_start_time,
t1.instance_end_time,
t2.serving_id,
t2.is_permanent,
t2.apply_for_gpu_count,
t3.pod_name,
t4.pkg_agg_time,
t4.gpu_util,
t4.gpu_count,
t1.calc_date AS p_date
FROM trace_time_metrics t1 LEFT JOIN (
SELECT
trace_id,
MAX(serving_id) AS serving_id,
MAX(is_permanent) AS is_permanent,
SUM(CAST(replicas AS INT) * CAST(num_gpu AS INT)) AS apply_for_gpu_count
FROM internal_platform_db.notebook_engine_info_query_engine_005
WHERE databus_imp_date >= '2026050400'
AND databus_imp_date <= '2026050700'
AND compute_type = 'ray'
AND service_name = 'notebook-runner'
GROUP BY trace_id
) t2 ON t1.trace_id = t2.trace_id
LEFT JOIN gputj_dim t3 ON t2.serving_id = t3.service_id
LEFT JOIN gpu_metrics t4
ON t3.pod_name = t4.pod_name
AND (
CASE
WHEN t1.instance_start_time IS NOT NULL AND t1.instance_end_time IS NOT NULL
THEN t4.pkg_agg_time >= t1.instance_start_time AND t4.pkg_agg_time <= t1.instance_end_time
WHEN t1.code_start_time IS NOT NULL AND t1.code_end_time IS NOT NULL
THEN t4.pkg_agg_time >= t1.code_start_time AND t4.pkg_agg_time <= t1.code_end_time
ELSE FALSE
END
)
;
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