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https://issues.apache.org/jira/browse/SPARK-23565?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23565:
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Assignee: Apache Spark
> Improved error message for when the number of sources for a query changes
> -------------------------------------------------------------------------
>
> Key: SPARK-23565
> URL: https://issues.apache.org/jira/browse/SPARK-23565
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 2.3.0
> Reporter: Patrick McGloin
> Assignee: Apache Spark
> Priority: Minor
>
> If you change the number of sources for a Structured Streaming query then you
> will get an assertion error as the number of sources in the checkpoint does
> not match the number of sources in the query that is starting. This can
> happen if, for example, you add a union to the input of the query. This is
> of course correct but the error is a bit cryptic and requires investigation.
> Suggestion for a more informative error message =>
> The number of sources for this query has changed. There are [x] sources in
> the checkpoint offsets and now there are [y] sources requested by the query.
> Cannot continue.
> This is the current message.
> 02-03-2018 13:14:22 ERROR StreamExecution:91 - Query ORPositionsState to
> Kafka [id = 35f71e63-dbd0-49e9-98b2-a4c72a7da80e, runId =
> d4439aca-549c-4ef6-872e-29fbfde1df78] terminated with error
> java.lang.AssertionError: assertion failed at
> scala.Predef$.assert(Predef.scala:156) at
> org.apache.spark.sql.execution.streaming.OffsetSeq.toStreamProgress(OffsetSeq.scala:38)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$populateStartOffsets(StreamExecution.scala:429)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1$$anonfun$apply$mcZ$sp$1.apply$mcV$sp(StreamExecution.scala:297)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1$$anonfun$apply$mcZ$sp$1.apply(StreamExecution.scala:294)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1$$anonfun$apply$mcZ$sp$1.apply(StreamExecution.scala:294)
> at
> org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:279)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1.apply$mcZ$sp(StreamExecution.scala:294)
> at
> org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
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