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Posted to issues@spark.apache.org by "iward (JIRA)" <ji...@apache.org> on 2015/10/09 08:57:26 UTC
[jira] [Created] (SPARK-11021) SparkSQL cli throws exception when
using with Hive 0.12 metastore in spark-1.5.0 version
iward created SPARK-11021:
-----------------------------
Summary: SparkSQL cli throws exception when using with Hive 0.12 metastore in spark-1.5.0 version
Key: SPARK-11021
URL: https://issues.apache.org/jira/browse/SPARK-11021
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.5.0
Reporter: iward
After upgrade spark from 1.4.1 to 1.5.0,I get the following exception when I set set the following properties in spark-defaults.conf:
{noformat}
spark.sql.hive.metastore.version=0.12.0
spark.sql.hive.metastore.jars=hive 0.12 jars and hadoop jars
{noformat}
when I run a task,it got following exception:
{noformat}
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_v0_12.loadTable(HiveShim.scala:249)
at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$loadTable$1.apply$mcV$sp(ClientWrapper.scala:489)
at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$loadTable$1.apply(ClientWrapper.scala:489)
at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$loadTable$1.apply(ClientWrapper.scala:489)
at org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$withHiveState$1.apply(ClientWrapper.scala:256)
at org.apache.spark.sql.hive.client.ClientWrapper.retryLocked(ClientWrapper.scala:211)
at org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:248)
at org.apache.spark.sql.hive.client.ClientWrapper.loadTable(ClientWrapper.scala:488)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.sideEffectResult$lzycompute(InsertIntoHiveTable.scala:243)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.sideEffectResult(InsertIntoHiveTable.scala:127)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.doExecute(InsertIntoHiveTable.scala:263)
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:147)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138)
at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:927)
at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:927)
at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:144)
at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:129)
at org.apache.spark.sql.DataFrame$.apply(DataFrame.scala:51)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:719)
at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:61)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:311)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:311)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:165)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Unable to move results from hdfs://ns1/user/dd_edw/warehouse/tmp/gdm_m10_afs_task_process_spark/.hive-staging_hive_2015-10-09_11-34-50_831_2280183503220873069-1/-ext-10000 to destination directory: /user/dd_edw/warehouse/tmp/gdm_m10_afs_task_process_spark
at org.apache.hadoop.hive.ql.metadata.Hive.replaceFiles(Hive.java:2303)
at org.apache.hadoop.hive.ql.metadata.Table.replaceFiles(Table.java:639)
at org.apache.hadoop.hive.ql.metadata.Hive.loadTable(Hive.java:1441)
... 40 more
{noformat}
The task can be run in spark-1.4.1 and hive 0.12.
Is spark-1.5.0 incompatible with hive 0.12 metastore？Any suggestion?
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