MapReduce jobs in hive-0.8.1-cdh4.0.1 Failed. - hive

Question

Queries in hive-0.8.1-cdh4.0.1 that invoke the Reducer results in Task Failed.
The queries having MAPJOIn is working fine but JOIN gives error.
eg:
hive> select count(*) from table1;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
12/10/15 23:07:02 WARN conf.Configuration: mapred.job.name is deprecated. Instead, use mapreduce.job.name
12/10/15 23:07:02 WARN conf.Configuration: mapred.system.dir is deprecated. Instead, use mapreduce.jobtracker.system.dir
12/10/15 23:07:02 WARN conf.Configuration: mapred.local.dir is deprecated. Instead, use mapreduce.cluster.local.dir
12/10/15 23:07:02 WARN conf.HiveConf: hive-site.xml not found on CLASSPATH
WARNING: org.apache.hadoop.metrics.jvm.EventCounter is deprecated. Please use org.apache.hadoop.log.metrics.EventCounter in all the log4j.properties files.
Execution log at: /tmp/XXXX
/XXXX_20121015230707_c93521d0-4a97-4972-92b9-0fdd3ab42e5f.log
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/XXXX/hadoop-2.0.0-cdh4.0.1/share/hadoop/common/lib/slf4j-log4j12-1.6.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/home/XXXX/hive-0.8.1-cdh4.0.1/lib/slf4j-log4j12-1.6.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See <http://www.slf4j.org/codes.html#multiple_bindings> for an explanation.
Job running in-process (local Hadoop)
Hadoop job information for null: number of mappers: 0; number of reducers: 0
2012-10-15 23:07:04,721 null map = 0%, reduce = 0%
Ended Job = job_local_0001 with errors
Error during job, obtaining debugging information...
**Execution failed with exit status: 2**
Obtaining error information
**Task failed!**
Task ID:
Stage-1
Logs:
/tmp/XXXX/hive.log
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.MapRedTask
The log file shows that its due to Java heap space problem.
**java.lang.Exception: java.lang.OutOfMemoryError: Java heap space**
at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:400)
Caused by: java.lang.OutOfMemoryError: Java heap space
at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.<init>(MapTask.java:912)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:391)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:334)
at org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:232)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:441)
at java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:303)
at java.util.concurrent.FutureTask.run(FutureTask.java:138)
at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908)
at java.lang.Thread.run(Thread.java:662)

Answer 1

For hadoop 2.0.0 +,
in etc/hadoop/mapred-site.xml
set:
<property>
<name>mapreduce.task.io.sort.mb</name>
<value>1</value>
</property>
It will work

Answer 2

map join will need more memory.
increase your mapreduce jvm memory size in file conf/mapred-site.xml. mapreduce conf
<property>
<name>mapred.child.java.opts</name>
<value>-Xmx1024m -server</value>
</property>