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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-21760) Structured streaming terminates with Exception
Date Sun, 01 Oct 2017 00:23:04 GMT

     [ https://issues.apache.org/jira/browse/SPARK-21760?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-21760:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>            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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