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Posted to issues@spark.apache.org by "Shixiong Zhu (JIRA)" <ji...@apache.org> on 2018/01/04 21:55:00 UTC
[jira] [Commented] (SPARK-21760) Structured streaming terminates
with Exception
[ https://issues.apache.org/jira/browse/SPARK-21760?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16312089#comment-16312089 ]
Shixiong Zhu commented on SPARK-21760:
--------------------------------------
Could you try 2.2.1? It's probably fixed by this line: https://github.com/apache/spark/commit/6edfff055caea81dc3a98a6b4081313a0c0b0729#diff-aaeb546880508bb771df502318c40a99L126
> Structured streaming terminates with Exception
> -----------------------------------------------
>
> Key: SPARK-21760
> URL: https://issues.apache.org/jira/browse/SPARK-21760
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.1.0
> Reporter: gagan taneja
> Priority: Critical
>
> We have seen Structured stream stops with exception below
> While analyzing the content we found that latest log file as just one line with version
> {quote}hdfs dfs -cat warehouse/latency_internal/_spark_metadata/1683
> v1
> {quote}
> Exception is below
> Exception in thread "stream execution thread for latency_internal [id = 39f35d01-60d5-40b4-826e-99e5e38d0077, runId = 95c95a01-bd4f-4604-8aae-c0c5d3e873e8]" java.lang.IllegalStateException: Incomplete log file
> at org.apache.spark.sql.execution.streaming.CompactibleFileStreamLog.deserialize(CompactibleFileStreamLog.scala:147)
> at org.apache.spark.sql.execution.streaming.CompactibleFileStreamLog.deserialize(CompactibleFileStreamLog.scala:42)
> at org.apache.spark.sql.execution.streaming.HDFSMetadataLog.get(HDFSMetadataLog.scala:237)
> at org.apache.spark.sql.execution.streaming.HDFSMetadataLog$$anonfun$getLatest$1.apply$mcVJ$sp(HDFSMetadataLog.scala:266)
> at org.apache.spark.sql.execution.streaming.HDFSMetadataLog$$anonfun$getLatest$1.apply(HDFSMetadataLog.scala:265)
> at org.apache.spark.sql.execution.streaming.HDFSMetadataLog$$anonfun$getLatest$1.apply(HDFSMetadataLog.scala:265)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofLong.foreach(ArrayOps.scala:246)
> at org.apache.spark.sql.execution.streaming.HDFSMetadataLog.getLatest(HDFSMetadataLog.scala:265)
> at org.apache.spark.sql.execution.streaming.FileStreamSource.<init>(FileStreamSource.scala:60)
> at org.apache.spark.sql.execution.datasources.DataSource.createSource(DataSource.scala:256)
> at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$logicalPlan$1.applyOrElse(StreamExecution.scala:127)
> at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$logicalPlan$1.applyOrElse(StreamExecution.scala:123)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:288)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:288)
> at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:287)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:293)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:293)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:331)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:188)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:329)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:293)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:293)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:293)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:331)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:188)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:329)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:293)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:293)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:293)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:331)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:188)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:329)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:293)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:293)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:293)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:331)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:188)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:329)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:293)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:277)
> at org.apache.spark.sql.execution.streaming.StreamExecution.logicalPlan$lzycompute(StreamExecution.scala:123)
> at org.apache.spark.sql.execution.streaming.StreamExecution.logicalPlan(StreamExecution.scala:121)
> at org.apache.spark.sql.execution.streaming.StreamExecution.sources$lzycompute(StreamExecution.scala:137)
> at org.apache.spark.sql.execution.streaming.StreamExecution.sources(StreamExecution.scala:136)
> at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches(StreamExecution.scala:288)
> at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:177)
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