[SPARK-22975] MetricsReporter producing NullPointerException when there was no progress reported

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 2.2.0, 2.2.1
• Fix Version/s: 2.2.2, 2.3.0
• Component/s: Structured Streaming
• Assignee: Marco Gaido
• Reporter: Yuriy Bondaruk
• Created: 05/Jan/18 18:56
• Updated: 12/Jan/18 19:27
• Resolved: 12/Jan/18 19:26

Description

The exception occurs in MetricsReporter when it tries to register gauges using lastProgress of each stream.

  registerGauge("inputRate-total", () => stream.lastProgress.inputRowsPerSecond)
  registerGauge("processingRate-total", () => stream.lastProgress.inputRowsPerSecond)
  registerGauge("latency", () => stream.lastProgress.durationMs.get("triggerExecution").longValue())

In case if a stream doesn't have any progress reported than following exception occurs:

18/01/05 17:45:57 ERROR ScheduledReporter: RuntimeException thrown from CloudwatchReporter#report. Exception was suppressed.
java.lang.NullPointerException
	at org.apache.spark.sql.execution.streaming.MetricsReporter$$anonfun$1.apply$mcD$sp(MetricsReporter.scala:42)
	at org.apache.spark.sql.execution.streaming.MetricsReporter$$anonfun$1.apply(MetricsReporter.scala:42)
	at org.apache.spark.sql.execution.streaming.MetricsReporter$$anonfun$1.apply(MetricsReporter.scala:42)
	at org.apache.spark.sql.execution.streaming.MetricsReporter$$anon$1.getValue(MetricsReporter.scala:49)
	at amazon.nexus.spark.metrics.cloudwatch.CloudwatchReporter.lambda$createNumericGaugeMetricDatumStream$0(CloudwatchReporter.java:146)
	at java.util.stream.ReferencePipeline$2$1.accept(ReferencePipeline.java:174)
	at java.util.Collections$UnmodifiableMap$UnmodifiableEntrySet.lambda$entryConsumer$0(Collections.java:1575)
	at java.util.TreeMap$EntrySpliterator.forEachRemaining(TreeMap.java:2969)
	at java.util.Collections$UnmodifiableMap$UnmodifiableEntrySet$UnmodifiableEntrySetSpliterator.forEachRemaining(Collections.java:1600)
	at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:481)
	at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471)
	at java.util.stream.StreamSpliterators$WrappingSpliterator.forEachRemaining(StreamSpliterators.java:312)
	at java.util.stream.Streams$ConcatSpliterator.forEachRemaining(Streams.java:742)
	at java.util.stream.Streams$ConcatSpliterator.forEachRemaining(Streams.java:742)
	at java.util.stream.Streams$ConcatSpliterator.forEachRemaining(Streams.java:742)
	at java.util.stream.Streams$ConcatSpliterator.forEachRemaining(Streams.java:742)
	at java.util.stream.Streams$ConcatSpliterator.forEachRemaining(Streams.java:742)
	at java.util.stream.Streams$ConcatSpliterator.forEachRemaining(Streams.java:742)
	at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:481)
	at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471)
	at java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708)
	at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
	at java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:510)
	at amazon.nexus.spark.metrics.cloudwatch.CloudwatchReporter.partitionIntoSublists(CloudwatchReporter.java:390)
	at amazon.nexus.spark.metrics.cloudwatch.CloudwatchReporter.report(CloudwatchReporter.java:137)
	at com.codahale.metrics.ScheduledReporter.report(ScheduledReporter.java:162)
	at com.codahale.metrics.ScheduledReporter$1.run(ScheduledReporter.java:117)
	at java.util.concurrent.Executors$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)

Issue Links

• links to: [Github] Pull Request #20189 (mgaido91)