[HADOOP-17935] Spark job stuck in S3A StagingCommitter::setupJob - ASF JIRA

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Details

Type: Bug
Status: Resolved
Priority: Major
Resolution: Cannot Reproduce
Affects Version/s: 3.2.1
Fix Version/s: None
Component/s: fs/s3
Labels:
None
Environment:

Spark 2.4.4
Hadoop 3.2.1
"spark.hadoop.fs.s3a.committer.name": "directory"

Description

This is using the S3A directory staging committer, the Spark driver gets stuck in a retry loop inside setupJob. Here's a stack trace:

org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:229)
org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:271)
org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:290)
org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:676)
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
org.apache.spark.sql.execution.SQLExecution$$$Lambda$1753/2105635903.apply(Unknown Source)
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:78)
org.apache.spark.sql.DataFrameWriter$$Lambda$1752/114484787.apply(Unknown Source)
org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:676)
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:85)
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:85) => holding Monitor(org.apache.spark.sql.execution.QueryExecution@705144571})
org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
org.apache.spark.sql.execution.SparkPlan$$Lambda$1574/1384254911.apply(Unknown Source)
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:155)
org.apache.spark.sql.execution.SparkPlan$$Lambda$1573/696771575.apply(Unknown Source)
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:131)
org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:122)
org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102)
org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104) => holding Monitor(org.apache.spark.sql.execution.command.DataWritingCommandExec@539925125})
org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:170)
org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:139)
org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.setupJob(HadoopMapReduceCommitProtocol.scala:163)
org.apache.hadoop.fs.s3a.commit.staging.DirectoryStagingCommitter.setupJob(DirectoryStagingCommitter.java:65)
org.apache.hadoop.fs.s3a.commit.staging.StagingCommitter.setupJob(StagingCommitter.java:458)
org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.setupJob(FileOutputCommitter.java:355)
org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:2275)
org.apache.hadoop.fs.s3a.S3AFileSystem.mkdirs(S3AFileSystem.java:2062)
org.apache.hadoop.fs.s3a.S3AFileSystem.innerMkdirs(S3AFileSystem.java:2129)
org.apache.hadoop.fs.s3a.S3AFileSystem.createFakeDirectory(S3AFileSystem.java:2808)
org.apache.hadoop.fs.s3a.S3AFileSystem.createEmptyObject(S3AFileSystem.java:2833)
org.apache.hadoop.fs.s3a.Invoker.retry(Invoker.java:236)
org.apache.hadoop.fs.s3a.Invoker.retry(Invoker.java:261)
org.apache.hadoop.fs.s3a.Invoker.retryUntranslated(Invoker.java:322)
org.apache.hadoop.fs.s3a.Invoker$$Lambda$232/695085082.execute(Unknown Source)
org.apache.hadoop.fs.s3a.Invoker.lambda$retry$3(Invoker.java:265)
org.apache.hadoop.fs.s3a.Invoker.once(Invoker.java:109)
org.apache.hadoop.fs.s3a.S3AFileSystem$$Lambda$1932/855044548.execute(Unknown Source)
org.apache.hadoop.fs.s3a.S3AFileSystem.lambda$createEmptyObject$13(S3AFileSystem.java:2835)
org.apache.hadoop.fs.s3a.S3AFileSystem.putObjectDirect(S3AFileSystem.java:1589)
org.apache.hadoop.fs.s3a.S3AFileSystem.finishedWrite(S3AFileSystem.java:2751)
org.apache.hadoop.fs.s3a.S3AFileSystem.deleteUnnecessaryFakeDirectories(S3AFileSystem.java:2785)
org.apache.hadoop.fs.s3a.S3AFileSystem.removeKeys(S3AFileSystem.java:1717)
org.apache.hadoop.fs.s3a.S3AFileSystem.deleteObjects(S3AFileSystem.java:1457)
org.apache.hadoop.fs.s3a.Invoker.retryUntranslated(Invoker.java:285)
org.apache.hadoop.fs.s3a.Invoker.retryUntranslated(Invoker.java:322)
org.apache.hadoop.fs.s3a.S3AFileSystem$$Lambda$1933/1245120662.execute(Unknown Source)
org.apache.hadoop.fs.s3a.S3AFileSystem.lambda$deleteObjects$8(S3AFileSystem.java:1461)
com.amazonaws.services.s3.AmazonS3Client.deleteObjects(AmazonS3Client.java:2136)
com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:4315)
com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:4368)
com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:513)
com.amazonaws.http.AmazonHttpClient$RequestExecutionBuilderImpl.execute(AmazonHttpClient.java:649)
com.amazonaws.http.AmazonHttpClient$RequestExecutor.access$500(AmazonHttpClient.java:667)
com.amazonaws.http.AmazonHttpClient$RequestExecutor.execute(AmazonHttpClient.java:699)
com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeWithTimer(AmazonHttpClient.java:717)
com.amazonaws.http.AmazonHttpClient$RequestExecutor.doExecute(AmazonHttpClient.java:743)
com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeHelper(AmazonHttpClient.java:1058)
com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeOneRequest(AmazonHttpClient.java:1191)
com.amazonaws.http.AmazonHttpClient$RequestExecutor.pauseBeforeRetry(AmazonHttpClient.java:1653)
com.amazonaws.http.AmazonHttpClient$RequestExecutor.doPauseBeforeRetry(AmazonHttpClient.java:1679)

Another thing of note in this setup, is the staging committer is using an S3 bucket to track pending commits (used to use HDFS for this, but switched to S3 once it became strongly consistent).