Pig local mode,group或join = java.lang.OutOfMemoryError:Java堆空间

使用Apache Pig版本0.10.1.21(已报告),CentOS版本6.3(最终版),jdk1.6.0_31(Virtualbox上的Hortonworks Sandbox v1.2,3.5 GB RAM)

$ cat data.txt
11,11,22
33,34,35
47,0,21
33,6,51
56,6,11
11,25,67

$ cat GrpTest.pig
A = LOAD 'data.txt' USING PigStorage(',') AS (f1:int,f2:int,f3:int);
B = GROUP A BY f1;
DESCRIBE B;
DUMP B;

pig -x local GrpTest.pig

[Thread-12] WARN  org.apache.hadoop.mapred.JobClient - No job jar file set.  User classes may not be found. See JobConf(Class) or JobConf#setJar(String).
[Thread-12] INFO  org.apache.hadoop.mapreduce.lib.input.FileInputFormat - Total input paths to process : 1
[Thread-13] INFO  org.apache.hadoop.mapred.Task -  Using ResourceCalculatorPlugin : org.apache.hadoop.util.LinuxResourceCalculatorPlugin@19a9bea3
[Thread-13] INFO  org.apache.hadoop.mapred.MapTask - io.sort.mb = 100
[Thread-13] WARN  org.apache.hadoop.mapred.LocalJobRunner - job_local_0002
java.lang.OutOfMemoryError: Java heap space
    at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.(MapTask.java:949)
    at org.apache.hadoop.mapred.MapTask$NewOutputCollector.(MapTask.java:674)
    at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:756)
    at org.apache.hadoop.mapred.MapTask.run(MapTask.java:370)
    at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:212)
[main] ERROR org.apache.pig.tools.pigstats.PigStatsUtil - 1 map reduce job(s) failed!
[main] ERROR org.apache.pig.tools.grunt.Grunt - ERROR 1066: Unable to open iterator for alias B

在Java堆空间:java.lang.OutOfMemoryError每次使用GROUP或加入在本地模式下执行的猪脚本时错误.在HDFS上以mapreduce模式执行脚本时没有错误.

问题1:如果数据样本很小并且本地模式应该使用比HDFS模式更少的资源,那么为什么会出现OutOfMemory错误？

问题2:是否有解决方案在本地模式下成功运行GROUP或JOIN的小型猪脚本？

解决方案:强制pig为java属性io.sort.mb分配更少的内存我在这里设置为10 MB,错误消失.不确定什么是最好的值,但至少,这允许在本地模式下练习猪语法

$ cat GrpTest.pig
--avoid java.lang.OutOfMemoryError: Java heap space (execmode: -x local)
set io.sort.mb 10;

A = LOAD 'data.txt' USING PigStorage(',') AS (f1:int,f2:int,f3:int);
B = GROUP A BY f1;
DESCRIBE B;
DUMP B;