Comments (3)
LucaCanali
commented on May 14, 2024
Hi,
The intended usage is:
val stageMetrics = ch.cern.sparkmeasure.StageMetrics(spark)
stageMetrics.begin()
...execute one or more Spark jobs...
stageMetrics.end()
stageMetrics.printReport()
See also https://github.com/LucaCanali/sparkMeasure/blob/master/docs/Scala_shell_and_notebooks.md
Please check again if this works in your case.
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Jirapong
commented on May 14, 2024
Sorry that is a wrong syntax. I believe the error caused by metric is not produce any number like
val stageMetrics = ch.cern.sparkmeasure.StageMetrics(spark)
stageMetrics.begin()
spark.sql("SELECT 1=1")
stageMetrics.end()
stageMetrics.printReport()
scala> spark.sql("select * from PerfStageMetrics").show
+-----+--------+-------+----+--------------+--------------+-------------+--------+---------------+---------------+-----------------------+--------------------------+-----------------------+---------+----------+-----------------------+----------------+------------------+-------------------+-----------+---------+--------------+------------+--------------------+---------------------+-------------------------+-------------------------+--------------------------+----------------+-------------------+---------------------+
|jobId|jobGroup|stageId|name|submissionTime|completionTime|stageDuration|numTasks|executorRunTime|executorCpuTime|executorDeserializeTime|executorDeserializeCpuTime|resultSerializationTime|jvmGCTime|resultSize|numUpdatedBlockStatuses|diskBytesSpilled|memoryBytesSpilled|peakExecutionMemory|recordsRead|bytesRead|recordsWritten|bytesWritten|shuffleFetchWaitTime|shuffleTotalBytesRead|shuffleTotalBlocksFetched|shuffleLocalBlocksFetched|shuffleRemoteBlocksFetched|shuffleWriteTime|shuffleBytesWritten|shuffleRecordsWritten|
+-----+--------+-------+----+--------------+--------------+-------------+--------+---------------+---------------+-----------------------+--------------------------+-----------------------+---------+----------+-----------------------+----------------+------------------+-------------------+-----------+---------+--------------+------------+--------------------+---------------------+-------------------------+-------------------------+--------------------------+----------------+-------------------+---------------------+
+-----+--------+-------+----+--------------+--------------+-------------+--------+---------------+---------------+-----------------------+--------------------------+-----------------------+---------+----------+-----------------------+----------------+------------------+-------------------+-----------+---------+--------------+------------+--------------------+---------------------+-------------------------+-------------------------+--------------------------+----------------+-------------------+---------------------+
BTW, I'm working on PR to prevent this error.
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LucaCanali
commented on May 14, 2024
PR has been merged.
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Related Issues (20)
- Support for SparkR HOT 1
- Memory usage HOT 1
- Send to Prometheus not available from Python HOT 1
- TaskMetrics and StageMetrics does not extend a common trait
- Notable difference to REST API HOT 2
- Better to have the IO metrics for non-hdfs type such as S3 Storage HOT 1
- Guide for metrics interpretation HOT 1
- How to find time spent in I/O for a task HOT 2
- How to get the execution time for EACH operator in Spark SQL? HOT 1
- NoSuchMethodError (ScalaObjectMapper) HOT 3
- throwing error when trying to make work locally HOT 9
- Peak Memory usage - PySpark 3 on Azure Synapse HOT 2
- TypeError: 'JavaPackage' object is not callable HOT 3
- can't find spark-measure 0.21 HOT 2
- java compatibility HOT 1
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- Flight Recorder Mode when Driver crashed from OOM HOT 3
- Issue when using sbt dependency - retrofit not resolved HOT 1
- NoSuchMethodError: org.apache.spark.scheduler.SparkListenerExecutorMetricsUpdate.executorUpdates() HOT 5
- 'JavaPackage' object is not callable when using the Colab Example HOT 3
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