Neemesh created MAPREDUCE-6707:
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Summary: Running a mapreduce Job for updating Hbase table. data we
are getting from txt/csv file 1.1 gb from hdfs location
Key: MAPREDUCE-6707
URL: https://issues.apache.org/jira/browse/MAPREDUCE-6707
Project: Hadoop Map/Reduce
Issue Type: Bug
Reporter: Neemesh
I am try to read 1.1 gb file which has data and i am reading this file and
based on the data doing a put to Hbase table , mapper is working fine but
reducer is doing till 85% and fails with following error
java.lang.OutOfMemoryError: Java heap space
at java.io.DataOutputStream.<init>(DataOutputStream.java:204)
at
org.apache.jute.BinaryOutputArchive.getArchive(BinaryOutputArchive.java:38)
at org.apache.zookeeper.ClientCnxn$Packet.createBB(ClientCnxn.java:282)
at
org.apache.zookeeper.ClientCnxnSocketNIO.doIO(ClientCnxnSocketNIO.java:115)
at
org.apache.zookeeper.ClientCnxnSocketNIO.doTransport(ClientCnxnSocketNIO.java:355)
at org.apache.zookeeper.ClientCnxn$SendThread.run(ClientCnxn.java:1081)
16/05/31 03:37:50 WARN mapred.LocalJobRunner: job_local1952932043_0001
java.lang.OutOfMemoryError: Java heap space
following are the configuration i have given for the running this mapreduce job
configuration.set("mapreduce.child.java.opts", "-Xmx16g -XX:+UseConcMarkSweepGC
-XX:-UseGCOverheadLimit");
configuration.set("mapreduce.reduce.memory.mb", "8192m");
configuration.set("mapred.reduce.child.java.opts", "-Xmx10g");
I try reducing the file size by using some split logic. what i have notice if
the file size is 350 Mb Mapreduce work file without issue, but if it is more
than 350 Mb we will be getting OOM exception.
can some one please let us know what configuration is am missing or changes is
required to run Mapreduce Job
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