Weichen Xu created SPARK-51666:
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Summary: Fix sparkStageCompleted executorRunTime metric
calculation
Key: SPARK-51666
URL: https://issues.apache.org/jira/browse/SPARK-51666
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 4.1.0
Reporter: Weichen Xu
Fix sparkStageCompleted executorRunTime metric calculation:
In case of when a spark task uses multiple CPU’s, the CPU seconds should
capture the total execution seconds across all CPU’s. i.e. if a stage set
cpus-of-task to be 48, if we used 10 seconds on each CPU, the total CPU seconds
for that stage should be 10 seconds X 1 Tasks X 48 CPU = 480 CPU-seconds. If
another task only used 1 CPU then its total CPU seconds is 10 seconds X 1 CPU =
10 CPU-Seconds.
*This is very important fix since spark introduces stage level scheduling (so
that different stage tasks are configured with different number of CPUs) ,
without this fix, the data pipeline revenue calculation spreads DBUs evenly
across these tasks.*
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