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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/10/28 17:08:00 UTC

[jira] [Assigned] (SPARK-37147) MetricsReporter producing NullPointerException when element 'triggerExecution' not present in Map[]

     [ https://issues.apache.org/jira/browse/SPARK-37147?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-37147:
------------------------------------

    Assignee:     (was: Apache Spark)

> MetricsReporter producing NullPointerException when element 'triggerExecution' not present in Map[]
> ---------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-37147
>                 URL: https://issues.apache.org/jira/browse/SPARK-37147
>             Project: Spark
>          Issue Type: Bug
>          Components: Structured Streaming
>    Affects Versions: 3.2.0
>            Reporter: Radoslaw Busz
>            Priority: Major
>
> The exception occurs in MetricsReporter when it tries to register gauges using lastProgress of each stream. This problem was partially fixed in https://issues.apache.org/jira/browse/SPARK-22975 but in introduced a NPE when 'triggerExecution' element is not present in durationMS map:
>  
> {code:java}
> registerGauge("latency", _.durationMs.get("triggerExecution").longValue(), 0L)
> {code}
>  
> I find it difficult to reproduce this every time but it happens every few restarts when structured streaming uses a slow event source (very little or no events). In my case it breaks metric reporting via Codehale/Dropwizard and generates multiple stacktraces such as:
> {code:java}
> 21/09/16 09:51:36 ERROR ScheduledReporter: Exception thrown from GangliaReporter#report. Exception was suppressed.
> java.lang.NullPointerException
> 	at org.apache.spark.sql.execution.streaming.MetricsReporter.$anonfun$new$3(MetricsReporter.scala:43)
> 	at org.apache.spark.sql.execution.streaming.MetricsReporter.$anonfun$new$3$adapted(MetricsReporter.scala:43)
> 	at scala.Option.map(Option.scala:230)
> 	at org.apache.spark.sql.execution.streaming.MetricsReporter$$anon$1.getValue(MetricsReporter.scala:68)
> 	at com.codahale.metrics.ganglia.GangliaReporter.reportGauge(GangliaReporter.java:353)
> 	at com.codahale.metrics.ganglia.GangliaReporter.report(GangliaReporter.java:240)
> 	at com.codahale.metrics.ScheduledReporter.report(ScheduledReporter.java:237)
> 	at com.codahale.metrics.ScheduledReporter.lambda$start$0(ScheduledReporter.java:177)
> 	at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> 	at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> 	at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> 	at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> 	at java.lang.Thread.run(Thread.java:748)
> {code}
> I'm happy to implement a fix.



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