Hm, Im wondering if there are some case studies regarding how ppl handle memory
related issues posted somewhere as good references?
Thanks,
Michael
--- On Tue, 2/23/10, Ankur C. Goel <gan...@yahoo-inc.com> wrote:
From: Ankur C. Goel <gan...@yahoo-inc.com>
Subject: Re: OutOfMemoryError of PIG job (UDF loads big file)
To: "common-user@hadoop.apache.org" <common-user@hadoop.apache.org>
Date: Tuesday, February 23, 2010, 2:11 AM
Yeah! Wait till you stumble across the need to adjust shuffle/reduce buffers,
reuse JVMs, sort factor, copier threads .........
:-)
On 2/23/10 8:06 AM, "jiang licht" <licht_ji...@yahoo.com> wrote:
Thanks Jeff. I also just found this one and solved my problem. BTW, so many
settings to play with :)
Michael
--- On Mon, 2/22/10, Jeff Zhang <zjf...@gmail.com> wrote:
From: Jeff Zhang <zjf...@gmail.com>
Subject: Re: OutOfMemoryError of PIG job (UDF loads big file)
To: common-user@hadoop.apache.org
Date: Monday, February 22, 2010, 8:13 PM
Hi Jiang,
you should set property *mapred.child.java.opts* in mapred-site.xml to
increase the memeory
as following:
<property>
<name>mapred.child.java.opts</name>
<value>-Xmx1024m</value>
</property>
and then restart your hadoop cluster
On Tue, Feb 23, 2010 at 9:43 AM, jiang licht <licht_ji...@yahoo.com> wrote:
> I am running a hadoop job written in PIG. It fails from out of memory
> because a UDF function consumes a lot of memory, it loads a big file. What
> are the settings to avoid the following OutOfMemoryError? I guess by simply
> giving PIG big memory (java -XmxBIGmemory org.apache.pig.Main ...) won't
> work.
>
> Error message --->
>
> java.lang.OutOfMemoryError: Java heap space
> at java.util.regex.Pattern.compile(Pattern.java:1451)
> at java.util.regex.Pattern.(Pattern.java:1133)
> at java.util.regex.Pattern.compile(Pattern.java:823)
> at java.lang.String.split(String.java:2293)
> at java.lang.String.split(String.java:2335)
> at UDF.load(Unknown Source)
> at UDF.load(Unknown Source)
> at UDF.exec(Unknown Source)
> at UDF.exec(Unknown Source)
> at
> org.apache.pig.backend.hadoop.executionengine.physicalLayer.expressionOperators.POUserFunc.getNext(POUserFunc.java:201)
> at
> org.apache.pig.backend.hadoop.executionengine.physicalLayer.expressionOperators.POUserFunc.getNext(POUserFunc.java:287)
> at
> org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POForEach.processPlan(POForEach.java:278)
> at
> org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POForEach.getNext(POForEach.java:204)
> at
> org.apache.pig.backend.hadoop.executionengine.physicalLayer.PhysicalOperator.processInput(PhysicalOperator.java:231)
> at
> org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POLocalRearrange.getNext(POLocalRearrange.java:240)
> at
> org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapBase.runPipeline(PigMapBase.java:249)
> at
> org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapBase.map(PigMapBase.java:240)
> at
> org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapReduce$Map.map(PigMapReduce.java:93)
> at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:50)
> at org.apache.hadoop.mapred.MapTask.run(MapTask.java:332)
> at org.apache.hadoop.mapred.Child.main(Child.java:155)
>
> Thanks!
> Michael
>
>
>
>
--
Best Regards
Jeff Zhang
