mapreduce报错:java.io.IOException: Split metadata size exceeded 10000000.

Failure Info:Job initialization failed: java.io.IOException: Split metadata size exceeded 10000000. 
Aborting job job_201205162059_1073852 at 
org.apache.hadoop.mapreduce.split.SplitMetaInfoReader.readSplitMetaInfo(SplitMetaInfoReader.java:48) at 
org.apache.hadoop.mapred.JobInProgress.createSplits(JobInProgress.java:817) at 
org.apache.hadoop.mapred.JobInProgress.initTasks(JobInProgress.java:711) at 
org.apache.hadoop.mapred.JobTracker.initJob(JobTracker.java:4028) at 
org.apache.hadoop.mapred.EagerTaskInitializationListener$InitJob.run(EagerTaskInitializationListener.java:79) at 
java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886) at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908) at java.lang.Thread.run(Thread.java:662) 

出错原因:该job的job.splitmetainfo文件大小超过限制;

1. job.splitmetainfo,该文件记录split的元数据信息,job split ----> HDFS block && slave node

  存放路径位于:${hadoop.tmp.dir}/mapred/staging/${user.name}/.staging/jobId/

2. 参数mapreduce.jobtracker.split.metainfo.maxsize控制该文件的最大大小,默认为:10000000(10M)

解决方法:

1. 修改mapreduce.jobtracker.split.metainfo.maxsize参数值,但需要重启jobtracker才能生效;

2. 该问题的根本原因还是因为input小文件或者目录太多导致的,所以建议合并小文件;

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转载自superlxw1234.iteye.com/blog/1565671