Looks are you getting the error in hive shell? You can control client
memory usage by setting HADOOP_HEAPSIZE in conf/hadoop-env.sh.
On Mon, May 27, 2013 at 12:34 AM, Peter Chu <[EMAIL PROTECTED]> wrote:
> Hi, I ran into memory problem while using Map Join. Errors below, how do
> I increase the map join memory size and if there are other solutions?
> Execution log at: /tmp/hadoop/hadoop_20130525231414_3cc50fdd-7e7a-4bcf-baab-b465804c6e49.log
> 2013-05-25 11:14:41 Starting to launch local task to process map join; maximum memory = 932118528
> SLF4J: Class path contains multiple SLF4J bindings.
> SLF4J: Found binding in [jar:file:/home/hadoop/lib/slf4j-log4j12-1.6.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
> SLF4J: Found binding in [jar:file:/home/hadoop/.versions/hive-0.8.1/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.
> 2013-05-25 11:15:04 Processing rows: 200000 Hashtable size: 199999 Memory usage: 776903128 rate: 0.833
> 2013-05-25 11:15:09 Processing rows: 214614 Hashtable size: 214614 Memory usage: 811592328 rate: 0.871
> 2013-05-25 11:15:09 Dump the hashtable into file: file:/tmp/hadoop/hive_2013-05-25_23-14-39_270_9001068894438685980/-local-10006/HashTable-Stage-6/MapJoin-bu-21--.hashtable
> Execution failed with exit status: 2
> Obtaining error information
> Task failed!
> Task ID:
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