[ https://issues.apache.org/jira/browse/SPARK-35635?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17741296#comment-17741296 ]
jeanlyn commented on SPARK-35635: --------------------------------- We encounter the same issue when concurrent writing in deference partition on same table. > concurrent insert statements from multiple beeline fail with job aborted > exception > ---------------------------------------------------------------------------------- > > Key: SPARK-35635 > URL: https://issues.apache.org/jira/browse/SPARK-35635 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 3.1.1 > Environment: Spark 3.1.1 > Reporter: Chetan Bhat > Priority: Minor > > Create tables - > CREATE TABLE J1_TBL ( > i integer, > j integer, > t string > ) USING parquet; > CREATE TABLE J2_TBL ( > i integer, > k integer > ) USING parquet; > From 4 concurrent beeline sessions execute the insert into select queries - > INSERT INTO J1_TBL VALUES (1, 4, 'one'); > INSERT INTO J1_TBL VALUES (2, 3, 'two'); > INSERT INTO J1_TBL VALUES (3, 2, 'three'); > INSERT INTO J1_TBL VALUES (4, 1, 'four'); > INSERT INTO J1_TBL VALUES (5, 0, 'five'); > INSERT INTO J1_TBL VALUES (6, 6, 'six'); > INSERT INTO J1_TBL VALUES (7, 7, 'seven'); > INSERT INTO J1_TBL VALUES (8, 8, 'eight'); > INSERT INTO J1_TBL VALUES (0, NULL, 'zero'); > INSERT INTO J1_TBL VALUES (NULL, NULL, 'null'); > INSERT INTO J1_TBL VALUES (NULL, 0, 'zero'); > INSERT INTO J2_TBL VALUES (1, -1); > INSERT INTO J2_TBL VALUES (2, 2); > INSERT INTO J2_TBL VALUES (3, -3); > INSERT INTO J2_TBL VALUES (2, 4); > INSERT INTO J2_TBL VALUES (5, -5); > INSERT INTO J2_TBL VALUES (5, -5); > INSERT INTO J2_TBL VALUES (0, NULL); > INSERT INTO J2_TBL VALUES (NULL, NULL); > INSERT INTO J2_TBL VALUES (NULL, 0); > > Issue : concurrent insert statements from multiple beeline fail with job > aborted exception. > 0: jdbc:hive2://10.19.89.222:23040/> INSERT INTO J1_TBL VALUES (8, 8, > 'eight'); > Error: org.apache.hive.service.cli.HiveSQLException: Error running query: > org.apache.spark.SparkException: Job aborted. > at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:366) > at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3.$anonfun$run$2(SparkExecuteStatementOperation.scala:263) > at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3$$Lambda$1781/750578465.apply$mcV$sp(Unknown > Source) > at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) > at > org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78) > at > org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62) > at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:45) > at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3.run(SparkExecuteStatementOperation.scala:263) > at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3.run(SparkExecuteStatementOperation.scala:258) > at java.security.AccessController.doPrivileged(Native Method) > at javax.security.auth.Subject.doAs(Subject.java:422) > at > org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1729) > at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2.run(SparkExecuteStatementOperation.scala:272) > at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) > at java.util.concurrent.FutureTask.run(FutureTask.java:266) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > Caused by: org.apache.spark.SparkException: Job aborted. > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:231) > at > org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:188) > at > org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:109) > at > org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:107) > at > org.apache.spark.sql.execution.command.DataWritingCommandExec.executeCollect(commands.scala:121) > at org.apache.spark.sql.Dataset.$anonfun$logicalPlan$1(Dataset.scala:228) > at org.apache.spark.sql.Dataset$$Lambda$1650/1168893915.apply(Unknown Source) > at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3687) > at org.apache.spark.sql.Dataset$$Lambda$1651/490917717.apply(Unknown Source) > at > org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103) > at > org.apache.spark.sql.execution.SQLExecution$$$Lambda$1659/232159932.apply(Unknown > Source) > at > org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163) > at > org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90) > at > org.apache.spark.sql.execution.SQLExecution$$$Lambda$1652/615787142.apply(Unknown > Source) > at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:777) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) > at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3685) > at org.apache.spark.sql.Dataset.<init>(Dataset.scala:228) > at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99) > at org.apache.spark.sql.Dataset$$$Lambda$1304/1010914377.apply(Unknown > Source) > at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:777) > at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96) > at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:615) > at org.apache.spark.sql.SparkSession$$Lambda$1236/744351354.apply(Unknown > Source) > at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:777) > at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:610) > at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:650) > at > org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:325) > ... 17 more > Caused by: java.io.FileNotFoundException: File > hdfs://hacluster/user/sparkhive/warehouse/chetan.db/j1_tbl/_temporary/0 does > not exist. > at > org.apache.hadoop.hdfs.DistributedFileSystem.listStatusInternal(DistributedFileSystem.java:1109) > at > org.apache.hadoop.hdfs.DistributedFileSystem.access$1000(DistributedFileSystem.java:142) > at > org.apache.hadoop.hdfs.DistributedFileSystem$24.doCall(DistributedFileSystem.java:1169) > at > org.apache.hadoop.hdfs.DistributedFileSystem$24.doCall(DistributedFileSystem.java:1166) > at > org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81) > at > org.apache.hadoop.hdfs.DistributedFileSystem.listStatus(DistributedFileSystem.java:1176) > at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:1959) > at org.apache.hadoop.fs.FileSystem.listStatus(FileSystem.java:2001) > at > org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.getAllCommittedTaskPaths(FileOutputCommitter.java:333) > at > org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJobInternal(FileOutputCommitter.java:403) > at > org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter.commitJob(FileOutputCommitter.java:376) > at > org.apache.parquet.hadoop.ParquetOutputCommitter.commitJob(ParquetOutputCommitter.java:48) > at > org.apache.spark.internal.io.HadoopMapReduceCommitProtocol.commitJob(HadoopMapReduceCommitProtocol.scala:188) > at > org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:220) > ... 44 more (state=,code=0) -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org