MapReduce中的Java堆空间

Question

我在具有32GB内存的计算机上运行MapReduce作业，但出现JAVA堆空间错误。我已经设置yarn.nodemanager.resource.memory-mb为32GB，希望我有足够的内存来运行这些任务，但我猜不是。我应该如何配置MapReduce v2才没有这个问题？

EDIT：

16/08/30 19:00:49 INFO mapreduce.Job: Task Id : attempt_1472579604725_0003_m_000000_0, Status : FAILED 
Error: Java heap space 
16/08/30 19:00:55 INFO mapreduce.Job: Task Id : attempt_1472579604725_0003_m_000000_1, Status : FAILED 
Error: Java heap space 
16/08/30 19:01:00 INFO mapreduce.Job: Task Id : attempt_1472579604725_0003_m_000000_2, Status : FAILED 
Error: Java heap space 

[2] mapred-site.xml

<?xml version="1.0" encoding="UTF-8"?> 
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?> 

<!-- Put site-specific property overrides in this file. --> 
<configuration> 
<property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> 
<property> <name>mapreduce.jobhistory.done-dir</name> <value>/root/Programs/hadoop/logs/history/done</value> </property> 
<property> <name>mapreduce.jobhistory.intermediate-done-dir</name> <value>/root/Programs/hadoop/logs/history/intermediate-done-dir</value> </property> 
<property> <name>mapreduce.job.reduces</name> <value>2</value> </property> 

<!-- property> <name>yarn.nodemanager.resource.memory-mb</name> <value>10240</value> </property> 
<property> <name>yarn.scheduler.minimum-allocation-mb</name> <value>1024</value> </property --> 

<!-- property><name>mapreduce.task.files.preserve.failedtasks</name><value>true</value></property> 
<property><name>mapreduce.task.files.preserve.filepattern</name><value>*</value></property --> 

[3] yarn-site.xml

<configuration> 
<property> <name>yarn.log-aggregation-enable</name> <value>true</value> </property> 
<property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> </property> 
<property> <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name> <value>org.apache.hadoop.mapred.ShuffleHandler</value> </property> 
<property> <name>yarn.resourcemanager.resource-tracker.address</name> <value>s8:8025</value> </property> 
<property> <name>yarn.resourcemanager.scheduler.address</name> <value>s8:8030</value> </property> 
<property> <name>yarn.resourcemanager.address</name> <value>s8:8032</value> </property> 
<property> <name>yarn.log.server.url</name> <value>http://s8:19888/jobhistory/logs/</value> </property> 

<!-- job history --> 
<property> <name>yarn.log-aggregation-enable</name> <value>true</value> </property> 
<property> <name>yarn.nodemanager.log.retain-seconds</name> <value>900000</value> </property> 
<property> <name>yarn.nodemanager.remote-app-log-dir</name> <value>/app-logs</value> </property> 

<!-- proxy --> 
<property><name>yarn.web-proxy.address</name><value>s8:9046</value></property> 

<!-- to check the classpath in yarn, do yarn classpath --> 
<!-- compress output data --> 
<property><name>mapreduce.output.fileoutputformat.compress</name><value>false</value></property> 
<property><name>mapred.output.fileoutputformat.compress.codec</name><value>org.apache.hadoop.io.compress.BZip2Codec</value></property> 

<!-- Node configuration --> 
    <property> <name>yarn.nodemanager.resource.memory-mb</name> <value>33554432</value> </property> 
</configuration> 

Answer 1

参数yarn.nodemanager.resource.memory-mb告诉多少资源可用于纱线（从重复注释）

如果您希望您的mapreduce程序使用这些资源，您应该设置以下参数。

mapreduce.map.memory.mb

mapreduce.map.java.opts

mapreduce.reduce.memory.mb

mapreduce.reduce.java.opts

只要确保将java.opts设置为比memory.md小10-20％。