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From "Dirk Schmid (JIRA)" <j...@apache.org>
Subject [jira] Created: (PIG-1442) java.lang.OutOfMemoryError: Java heap space (Reopen of PIG-766)
Date Mon, 07 Jun 2010 13:09:44 GMT
java.lang.OutOfMemoryError: Java heap space (Reopen of PIG-766)
---------------------------------------------------------------

                 Key: PIG-1442
                 URL: https://issues.apache.org/jira/browse/PIG-1442
             Project: Pig
          Issue Type: Bug
          Components: impl
    Affects Versions: 0.7.0, 0.2.0
         Environment: Apache-Hadoop 0.20.2 + Pig 0.7.0 and also for 0.8.0-dev (18/may)
Hadoop-0.18.3 (cloudera RPMs) + PIG 0.2.0

            Reporter: Dirk Schmid


As mentioned by Ashutosh this is a reopen of https://issues.apache.org/jira/browse/PIG-766
because there is still a problem which causes that PIG scales only by memory.

For convenience here comes the last entry of the PIG-766-Jira-Ticket:

{quote}1. Are you getting the exact same stack trace as mentioned in the jira?{quote} Yes
the same and some similar traces:
{noformat}
java.lang.OutOfMemoryError: Java heap space
	at java.util.Arrays.copyOf(Arrays.java:2786)
	at java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:94)
	at java.io.DataOutputStream.write(DataOutputStream.java:90)
	at java.io.FilterOutputStream.write(FilterOutputStream.java:80)
	at org.apache.pig.data.DataReaderWriter.writeDatum(DataReaderWriter.java:279)
	at org.apache.pig.data.DefaultTuple.write(DefaultTuple.java:264)
	at org.apache.pig.data.DefaultAbstractBag.write(DefaultAbstractBag.java:249)
	at org.apache.pig.data.DataReaderWriter.writeDatum(DataReaderWriter.java:214)
	at org.apache.pig.data.DefaultTuple.write(DefaultTuple.java:264)
	at org.apache.pig.data.DataReaderWriter.writeDatum(DataReaderWriter.java:209)
	at org.apache.pig.data.DefaultTuple.write(DefaultTuple.java:264)
	at org.apache.pig.impl.io.PigNullableWritable.write(PigNullableWritable.java:123)
	at org.apache.hadoop.io.serializer.WritableSerialization$WritableSerializer.serialize(WritableSerialization.java:90)
	at org.apache.hadoop.io.serializer.WritableSerialization$WritableSerializer.serialize(WritableSerialization.java:77)
	at org.apache.hadoop.mapred.IFile$Writer.append(IFile.java:179)
	at org.apache.hadoop.mapred.Task$CombineOutputCollector.collect(Task.java:880)
	at org.apache.hadoop.mapred.Task$NewCombinerRunner$OutputConverter.write(Task.java:1201)
	at org.apache.hadoop.mapreduce.TaskInputOutputContext.write(TaskInputOutputContext.java:80)
	at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigCombiner$Combine.processOnePackageOutput(PigCombiner.java:199)
	at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigCombiner$Combine.reduce(PigCombiner.java:161)
	at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigCombiner$Combine.reduce(PigCombiner.java:51)
	at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:176)
	at org.apache.hadoop.mapred.Task$NewCombinerRunner.combine(Task.java:1222)
	at org.apache.hadoop.mapred.ReduceTask$ReduceCopier$InMemFSMergeThread.doInMemMerge(ReduceTask.java:2563)
	at org.apache.hadoop.mapred.ReduceTask$ReduceCopier$InMemFSMergeThread.run(ReduceTask.java:2501)



java.lang.OutOfMemoryError: Java heap space
	at org.apache.pig.data.DefaultTuple.(DefaultTuple.java:58)
	at org.apache.pig.data.DefaultTupleFactory.newTuple(DefaultTupleFactory.java:35)
	at org.apache.pig.data.DataReaderWriter.bytesToTuple(DataReaderWriter.java:61)
	at org.apache.pig.data.DataReaderWriter.readDatum(DataReaderWriter.java:142)
	at org.apache.pig.data.DataReaderWriter.readDatum(DataReaderWriter.java:136)
	at org.apache.pig.data.DefaultAbstractBag.readFields(DefaultAbstractBag.java:263)
	at org.apache.pig.data.DataReaderWriter.bytesToBag(DataReaderWriter.java:71)
	at org.apache.pig.data.DataReaderWriter.readDatum(DataReaderWriter.java:145)
	at org.apache.pig.data.DataReaderWriter.readDatum(DataReaderWriter.java:136)
	at org.apache.pig.data.DataReaderWriter.bytesToTuple(DataReaderWriter.java:63)
	at org.apache.pig.data.DataReaderWriter.readDatum(DataReaderWriter.java:142)
	at org.apache.pig.data.DataReaderWriter.readDatum(DataReaderWriter.java:136)
	at org.apache.pig.data.DefaultTuple.readFields(DefaultTuple.java:284)
	at org.apache.pig.impl.io.PigNullableWritable.readFields(PigNullableWritable.java:114)
	at org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:67)
	at org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:40)
	at org.apache.hadoop.mapreduce.ReduceContext.nextKeyValue(ReduceContext.java:116)
	at org.apache.hadoop.mapreduce.ReduceContext$ValueIterator.next(ReduceContext.java:163)
	at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POCombinerPackage.getNext(POCombinerPackage.java:155)
	at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POMultiQueryPackage.getNext(POMultiQueryPackage.java:242)
	at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigCombiner$Combine.processOnePackageOutput(PigCombiner.java:170)
	at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigCombiner$Combine.reduce(PigCombiner.java:161)
	at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigCombiner$Combine.reduce(PigCombiner.java:51)
	at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:176)
	at org.apache.hadoop.mapred.Task$NewCombinerRunner.combine(Task.java:1222)
	at org.apache.hadoop.mapred.ReduceTask$ReduceCopier$InMemFSMergeThread.doInMemMerge(ReduceTask.java:2563)
	at org.apache.hadoop.mapred.ReduceTask$ReduceCopier$InMemFSMergeThread.run(ReduceTask.java:2501)



java.lang.OutOfMemoryError: Java heap space
	at java.util.ArrayList.(ArrayList.java:112)
	at org.apache.pig.data.DefaultTuple.(DefaultTuple.java:58)
	at org.apache.pig.data.DefaultTupleFactory.newTuple(DefaultTupleFactory.java:35)
	at org.apache.pig.data.DataReaderWriter.bytesToTuple(DataReaderWriter.java:61)
	at org.apache.pig.data.DataReaderWriter.readDatum(DataReaderWriter.java:142)
	at org.apache.pig.data.DataReaderWriter.readDatum(DataReaderWriter.java:136)
	at org.apache.pig.data.DefaultAbstractBag.readFields(DefaultAbstractBag.java:263)
	at org.apache.pig.data.DataReaderWriter.bytesToBag(DataReaderWriter.java:71)
	at org.apache.pig.data.DataReaderWriter.readDatum(DataReaderWriter.java:145)
	at org.apache.pig.data.DataReaderWriter.readDatum(DataReaderWriter.java:136)
	at org.apache.pig.data.DefaultTuple.readFields(DefaultTuple.java:284)
	at org.apache.pig.data.InternalCachedBag$CachedBagIterator.hasNext(InternalCachedBag.java:221)
	at org.apache.pig.builtin.Distinct.getDistinctFromNestedBags(Distinct.java:138)
	at org.apache.pig.builtin.Distinct.access$200(Distinct.java:40)
	at org.apache.pig.builtin.Distinct$Intermediate.exec(Distinct.java:103)
	at org.apache.pig.builtin.Distinct$Intermediate.exec(Distinct.java:96)
	at org.apache.pig.backend.hadoop.executionengine.physicalLayer.expressionOperators.POUserFunc.getNext(POUserFunc.java:209)
	at org.apache.pig.backend.hadoop.executionengine.physicalLayer.expressionOperators.POUserFunc.getNext(POUserFunc.java:250)
	at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POForEach.processPlan(POForEach.java:341)
	at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POForEach.getNext(POForEach.java:289)
	at org.apache.pig.backend.hadoop.executionengine.physicalLayer.PhysicalOperator.processInput(PhysicalOperator.java:276)
	at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.POLocalRearrange.getNext(POLocalRearrange.java:259)
	at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.PODemux.runPipeline(PODemux.java:217)
	at org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators.PODemux.getNext(PODemux.java:207)
	at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigCombiner$Combine.processOnePackageOutput(PigCombiner.java:183)
	at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigCombiner$Combine.reduce(PigCombiner.java:161)
	at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigCombiner$Combine.reduce(PigCombiner.java:51)
	at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:176)
	at org.apache.hadoop.mapred.Task$NewCombinerRunner.combine(Task.java:1222)
	at org.apache.hadoop.mapred.ReduceTask$ReduceCopier$InMemFSMergeThread.doInMemMerge(ReduceTask.java:2563)
	at org.apache.hadoop.mapred.ReduceTask$ReduceCopier$InMemFSMergeThread.run(ReduceTask.java:2501)
{noformat}

{quote}
2. Which operations are you doing in your query - join, group-by, any other ?
3. What load/store func are you using to read and write data? PigStorage or your own ?
4. What is your data size and memory available to your tasks?
5. Do you have very large records in your dataset, like hundreds of MB for one record ?
It would be great if you can paste here the script from which you get this exception.
{quote}

As we started to test the transformation (see below) the OutOfMemory-Error first occured at
input-datasets of about 150MB.
Increasing the Memory for the child-vms by setting {{mapred.child.java.opts}} to {{600m}}
fixed it for a while.
When using larger input-dataset the problem reappears.

*Input-Data:*
A CSV-File, ~14GB Dataset, ~100,000,000 Records per Dataset, ~145 Byte per Record

*Example:*
{noformat} 
  USER_ID                       REQUEST_DATE    SESSION                                 COMPANY
SERVICENAME  SECTION_1  SECTION_2  SECTION_3  SECTION_4  SECTION_5  SECTION_6     SECTION
SECTION_NEW
  ac14263e-22082-2263455080-9   2010-03-02      ac14263e-22082-2263455080-9-1273015305  ABC
    (NULL)       main       (NULL)     (NULL)     (NULL)     (NULL)     abc/main/mail /main/mail
  ...
  ...
{noformat} 

*The Pig-Script*
{code}
A = LOAD 'full_load' USING PigStorage('\t');

B = FOREACH A GENERATE $4 AS servicename, $3 AS company, $2 AS session, $0 as user_id
                       , $5 AS section_1, $6 AS section_2, $7 AS section_3, $8 as section_4
                       , $9 as section_5, $10 as section_6, $11 AS section;
                        
/* 1st aggregation */
S0 = GROUP B BY (servicename, company);
S0_A = FOREACH S0 {
                    unique_clients = DISTINCT B.user_id;
                    visits = DISTINCT B.session;
                    GENERATE FLATTEN(group), COUNT(B) AS pi_count, COUNT(unique_clients) AS
unique_clients_count, COUNT(visits) AS visit_count;
                  }
S0_B = FOREACH S0_A GENERATE servicename, company, '' as section_1, '' as section_2, '' as
section_3, '' as section_4
                           , '' as section_5, '' as section_6, '' as section, pi_count, unique_clients_count
                           , visit_count, 0 as level;

/* 2nd aggregation */
S1 = GROUP B BY (servicename, company, section_1); S1_A = FOREACH S1 {
                    unique_clients = DISTINCT B.user_id;
                    visits = DISTINCT B.session;
                    GENERATE FLATTEN(group), COUNT(B) AS pi_count, COUNT(unique_clients) AS
unique_clients_count, COUNT(visits) AS visit_count;
                  }
S1_B = FOREACH S1_A GENERATE servicename, company, section_1, '' as section_2, '' as section_3,
'' as section_4
                             , '' as section_5, '' as section_6, '' as section, pi_count,
unique_clients_count
                             , visit_count, 1 as level;

/* 3rd - 7th aggregation may follow here */

/* build result*/
X = UNION S0_B, S1_B;
STORE X INTO 'result' USING PigStorage ('\t'); {code} 


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