[
https://issues.apache.org/jira/browse/SPARK-25257?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16599279#comment-16599279
]
Shixiong Zhu commented on SPARK-25257:
--------------------------------------
[~mojodna] This issue has been fixed in SPARK-23092.
> v2 MicroBatchReaders can't resume from checkpoints
> --------------------------------------------------
>
> Key: SPARK-25257
> URL: https://issues.apache.org/jira/browse/SPARK-25257
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.3.1
> Reporter: Seth Fitzsimmons
> Priority: Major
> Attachments: deserialize.patch
>
>
> When resuming from a checkpoint:
> {code:java}
> writeStream.option("checkpointLocation",
> "/tmp/checkpoint").format("console").start
> {code}
> The stream reader fails with:
> {noformat}
> osmesa.common.streaming.AugmentedDiffMicroBatchReader@59e19287
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:295)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189)
> Caused by: java.lang.ClassCastException:
> org.apache.spark.sql.execution.streaming.SerializedOffset cannot be cast to
> org.apache.spark.sql.sources.v2.reader.streaming.Offset
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch$1$$anonfun$apply$9.apply(MicroBatchExecution.scala:405)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch$1$$anonfun$apply$9.apply(MicroBatchExecution.scala:390)
> at
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at
> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at
> org.apache.spark.sql.execution.streaming.StreamProgress.foreach(StreamProgress.scala:25)
> at
> scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
> at
> org.apache.spark.sql.execution.streaming.StreamProgress.flatMap(StreamProgress.scala:25)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch$1.apply(MicroBatchExecution.scala:390)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch$1.apply(MicroBatchExecution.scala:390)
> at
> org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:271)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution.org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch(MicroBatchExecution.scala:389)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply$mcV$sp(MicroBatchExecution.scala:133)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:121)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:121)
> at
> org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:271)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1.apply$mcZ$sp(MicroBatchExecution.scala:121)
> at
> org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
> at
> org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:117)
> at
> org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:279)
> ... 1 more
> {noformat}
> The root cause appears to be that the {{SerializedOffset}} (JSON, from disk)
> is never deserialized; I would expect to see something along the lines of
> {{reader.deserializeOffset(off.json)}} here (unless {{available}} is intended
> to be deserialized elsewhere):
> [https://github.com/apache/spark/blob/4dc82259d81102e0cb48f4cb2e8075f80d899ac4/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/MicroBatchExecution.scala#L405]
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