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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/06/16 13:40:00 UTC
[jira] [Updated] (SPARK-11083) insert overwrite table failed when
beeline reconnect
[ https://issues.apache.org/jira/browse/SPARK-11083?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-11083:
------------------------------
Fix Version/s: (was: 1.6.0)
> insert overwrite table failed when beeline reconnect
> ----------------------------------------------------
>
> Key: SPARK-11083
> URL: https://issues.apache.org/jira/browse/SPARK-11083
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Environment: Spark: master branch
> Hadoop: 2.7.1
> JDK: 1.8.0_60
> Reporter: Weizhong
> Assignee: Davies Liu
>
> 1. Start Thriftserver
> 2. Use beeline connect to thriftserver, then execute "insert overwrite table_name ..." clause -- success
> 3. Exit beelin
> 4. Reconnect to thriftserver, and then execute "insert overwrite table_name ..." clause. -- failed
> {noformat}
> 15/10/13 18:44:35 ERROR SparkExecuteStatementOperation: Error executing query, currentState RUNNING,
> java.lang.reflect.InvocationTargetException
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at org.apache.spark.sql.hive.client.Shim_v1_2.loadDynamicPartitions(HiveShim.scala:520)
> at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$loadDynamicPartitions$1.apply$mcV$sp(ClientWrapper.scala:506)
> at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$loadDynamicPartitions$1.apply(ClientWrapper.scala:506)
> at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$loadDynamicPartitions$1.apply(ClientWrapper.scala:506)
> at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$withHiveState$1.apply(ClientWrapper.scala:256)
> at org.apache.spark.sql.hive.client.ClientWrapper.retryLocked(ClientWrapper.scala:211)
> at org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:248)
> at org.apache.spark.sql.hive.client.ClientWrapper.loadDynamicPartitions(ClientWrapper.scala:505)
> at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.sideEffectResult$lzycompute(InsertIntoHiveTable.scala:225)
> at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.sideEffectResult(InsertIntoHiveTable.scala:127)
> at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.doExecute(InsertIntoHiveTable.scala:276)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:140)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:138)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138)
> at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:58)
> at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:58)
> at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:144)
> at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:129)
> at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:51)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:739)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.runInternal(SparkExecuteStatementOperation.scala:224)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:171)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:415)
> at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657)
> at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:182)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
> at java.util.concurrent.FutureTask.run(FutureTask.java:262)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:744)
> Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Unable to move source hdfs://9.91.8.214:9000/user/hive/warehouse/tpcds_bin_partitioned_orc_2.db/catalog_returns/.hive-staging_hive_2015-10-13_18-44-17_606_2400736035447406540-2/-ext-10000/cr_returned_date=2003-08-27/part-00048 to destination hdfs://9.91.8.214:9000/user/hive/warehouse/tpcds_bin_partitioned_orc_2.db/catalog_returns/cr_returned_date=2003-08-27/part-00048
> at org.apache.hadoop.hive.ql.metadata.Hive.moveFile(Hive.java:2644)
> at org.apache.hadoop.hive.ql.metadata.Hive.replaceFiles(Hive.java:2892)
> at org.apache.hadoop.hive.ql.metadata.Hive.loadPartition(Hive.java:1398)
> at org.apache.hadoop.hive.ql.metadata.Hive.loadDynamicPartitions(Hive.java:1593)
> ... 36 more
> Caused by: java.io.IOException: Filesystem closed
> at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:808)
> at org.apache.hadoop.hdfs.DFSClient.getEZForPath(DFSClient.java:3296)
> at org.apache.hadoop.hdfs.DistributedFileSystem.getEZForPath(DistributedFileSystem.java:2093)
> at org.apache.hadoop.hdfs.client.HdfsAdmin.getEncryptionZoneForPath(HdfsAdmin.java:289)
> at org.apache.hadoop.hive.shims.Hadoop23Shims$HdfsEncryptionShim.isPathEncrypted(Hadoop23Shims.java:1221)
> at org.apache.hadoop.hive.ql.metadata.Hive.moveFile(Hive.java:2607)
> ... 39 more
> {noformat}
> I have analyse this, and found we only have 1 FileSystem.Cache, so when close session will close the fs. May be SPARK-9596, [PR#7931|https://github.com/apache/spark/pull/7931] will cause this issue.
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