gagan taneja created SPARK-21760: ------------------------------------ Summary: 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) -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org