Hadoop中的内存不足错误 [英] out of Memory Error in Hadoop
问题描述
我尝试按照以下 http://hadoop.apache.org/common/docs/stable安装Hadoop /single_node_setup.html 文件。
当我尝试执行此操作时
I tried installing Hadoop following this http://hadoop.apache.org/common/docs/stable/single_node_setup.html document. When I tried executing this
bin/hadoop jar hadoop-examples-*.jar grep input output 'dfs[a-z.]+'
我收到以下异常
I am getting the following Exception
java.lang.OutOfMemoryError: Java heap space
<请提出一个解决方案,以便我可以尝试这个例子。下面列出了整个例外。我是Hadoop的新手我可能做了一些愚蠢的事情。任何建议将不胜感激。
Please suggest a solution so that i can try out the example. The entire Exception is listed below. I am new to Hadoop I might have done something dumb . Any suggestion will be highly appreciated.
anuj@anuj-VPCEA13EN:~/hadoop$ bin/hadoop jar hadoop-examples-*.jar grep input output 'dfs[a-z.]+'
11/12/11 17:38:22 INFO util.NativeCodeLoader: Loaded the native-hadoop library
11/12/11 17:38:22 INFO mapred.FileInputFormat: Total input paths to process : 7
11/12/11 17:38:22 INFO mapred.JobClient: Running job: job_local_0001
11/12/11 17:38:22 INFO util.ProcessTree: setsid exited with exit code 0
11/12/11 17:38:22 INFO mapred.Task: Using ResourceCalculatorPlugin : org.apache.hadoop.util.LinuxResourceCalculatorPlugin@e49dcd
11/12/11 17:38:22 INFO mapred.MapTask: numReduceTasks: 1
11/12/11 17:38:22 INFO mapred.MapTask: io.sort.mb = 100
11/12/11 17:38:22 WARN mapred.LocalJobRunner: job_local_0001
java.lang.OutOfMemoryError: Java heap space
at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.<init>(MapTask.java:949)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:428)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:372)
at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:212)
11/12/11 17:38:23 INFO mapred.JobClient: map 0% reduce 0%
11/12/11 17:38:23 INFO mapred.JobClient: Job complete: job_local_0001
11/12/11 17:38:23 INFO mapred.JobClient: Counters: 0
11/12/11 17:38:23 INFO mapred.JobClient: Job Failed: NA
java.io.IOException: Job failed!
at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1257)
at org.apache.hadoop.examples.Grep.run(Grep.java:69)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
at org.apache.hadoop.examples.Grep.main(Grep.java:93)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:68)
at org.apache.hadoop.util.ProgramDriver.driver(ProgramDriver.java:139)
at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:64)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.apache.hadoop.util.RunJar.main(RunJar.java:156)
推荐答案
您可以通过编辑conf / mapred-site.xml文件并添加属性来分配更多内存:
You can assign more memory by editing the conf/mapred-site.xml file and adding the property:
<property>
<name>mapred.child.java.opts</name>
<value>-Xmx1024m</value>
</property>
这将启动具有更多堆空间的hadoop JVM。
This will start the hadoop JVMs with more heap space.
这篇关于Hadoop中的内存不足错误的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!