[SPARK-21760] Structured streaming terminates with Exception

• Type: Bug
• Status: Resolved
• Priority: Critical
• Resolution: Duplicate
• Affects Version/s: 2.1.0
• Component/s: Structured Streaming
• Assignee: Unassigned
• Reporter: gagan taneja
• Shepherd: Tathagata Das
• Created: 17/Aug/17 06:11
• Updated: 08/Jan/18 15:33
• Resolved: 08/Jan/18 15:33

Description

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

hdfs dfs -cat warehouse/latency_internal/_spark_metadata/1683
v1

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)

Issue Links

• duplicates: SPARK-21596 Audit the places calling HDFSMetadataLog.get
• links to: [Github] Pull Request #19404 (rekhajoshm)