Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask (state=08S01,code=1)

Question

I have started metastore and hiveserver2

#./hive --service metastore
#./hive --service hiveserver2 

When I excute below query

#./beeline -u jdbc:hive2://192.168.0.10:10000 -e 'select count(*) from test_tb'  --hiveconf hive.root.logger=DEBUG,console --verbose=true

It throws below error

Error: Error while processing statement: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask (state=08S01,code=1)
java.sql.SQLException: Error while processing statement: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
        at org.apache.hive.jdbc.HiveStatement.execute(HiveStatement.java:275)
        at org.apache.hive.beeline.Commands.execute(Commands.java:736)
        at org.apache.hive.beeline.Commands.sql(Commands.java:657)
        at org.apache.hive.beeline.BeeLine.dispatch(BeeLine.java:804)
        at org.apache.hive.beeline.BeeLine.initArgs(BeeLine.java:608)
        at org.apache.hive.beeline.BeeLine.begin(BeeLine.java:630)
        at org.apache.hive.beeline.BeeLine.mainWithInputRedirection(BeeLine.java:368)
        at org.apache.hive.beeline.BeeLine.main(BeeLine.java:351)
        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.hadoop.util.RunJar.main(RunJar.java:160)
Beeline version 0.13.1 by Apache Hive

hiveserver2 log below

6/06/14 10:57:32 [main]: WARN common.LogUtils: DEPRECATED: Ignoring hive-default.xml found on the CLASSPATH at /data/offline/apache-hive-0.13.1-bin/conf/hive-default.xml
16/06/14 10:57:32 [main]: INFO metastore.HiveMetaStore: Starting hive metastore on port 9083
16/06/14 10:57:32 [main]: INFO metastore.HiveMetaStore: 0: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
16/06/14 10:57:32 [main]: INFO metastore.ObjectStore: ObjectStore, initialize called
16/06/14 10:57:33 [main]: INFO metastore.ObjectStore: Setting MetaStore object pin classes with hive.metastore.cache.pinobjtypes="Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order"
16/06/14 10:57:33 [main]: INFO metastore.ObjectStore: Initialized ObjectStore
16/06/14 10:57:34 [main]: INFO metastore.HiveMetaStore: Added admin role in metastore
16/06/14 10:57:34 [main]: INFO metastore.HiveMetaStore: Added public role in metastore
16/06/14 10:57:34 [main]: INFO metastore.HiveMetaStore: No user is added in admin role, since config is empty
16/06/14 10:57:34 [main]: INFO metastore.HiveMetaStore: Starting DB backed MetaStore Server
16/06/14 10:57:34 [main]: INFO metastore.HiveMetaStore: Started the new metaserver on port [9083]...
16/06/14 10:57:34 [main]: INFO metastore.HiveMetaStore: Options.minWorkerThreads = 200
16/06/14 10:57:34 [main]: INFO metastore.HiveMetaStore: Options.maxWorkerThreads = 100000
16/06/14 10:57:34 [main]: INFO metastore.HiveMetaStore: TCP keepalive = true
16/06/14 10:57:40 [pool-3-thread-1]: INFO metastore.HiveMetaStore: 1: source:/10.234.177.127 get_table : db=default tbl=test_tb
16/06/14 10:57:40 [pool-3-thread-1]: INFO HiveMetaStore.audit: ugi=qspace       ip=/10.234.177.127      cmd=source:/192.168.0.10 get_table : db=default tbl=test_tb
16/06/14 10:57:40 [pool-3-thread-1]: INFO metastore.HiveMetaStore: 1: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
16/06/14 10:57:40 [pool-3-thread-1]: INFO metastore.ObjectStore: ObjectStore, initialize called
16/06/14 10:57:40 [pool-3-thread-1]: INFO metastore.ObjectStore: Initialized ObjectStore

Answer 1

I see you are using Hiveserver2. For such aggregations, depending upon configuration, I believe you may need to set the number of reducers prior to execution. With Hive you can use this syntax:

SET mapred.reduce.tasks=1

However on Hive2 I have noticed I need to use:

SET mapreduce.job.reduces=1

I hope this helps! Previously I had a the same error message and changing this resolved the problem for me.