org.apache.hadoop.mapreduce.task.reduce.Shuffle error in shuffle in fetcher
org.apache.hadoop.mapreduce.task.reduce.Shuffle error in shuffle in fetcher
大数据工程师-公子
发布于 2019-03-14 15:42:43
发布于 2019-03-14 15:42:43
ShuffleError 错误信息：
Error: org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in fetcher#3
at org.apache.hadoop.mapreduce.task.reduce.Shuffle.run(Shuffle.java:134)
at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:376)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1693)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
Caused by: java.lang.OutOfMemoryError: Java heap space
at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:56)
at org.apache.hadoop.io.BoundedByteArrayOutputStream.<init>(BoundedByteArrayOutputStream.java:46)
at org.apache.hadoop.mapreduce.task.reduce.InMemoryMapOutput.<init>(InMemoryMapOutput.java:63)
at org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl.unconditionalReserve(MergeManagerImpl.java:305)
at org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl.reserve(MergeManagerImpl.java:295)
at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyMapOutput(Fetcher.java:514)
at org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyFromHost(Fetcher.java:336)
at org.apache.hadoop.mapreduce.task.reduce.Fetcher.run(Fetcher.java:193)Cause 原因：reduce会在map执行到一定比例启动多个fetch线程去拉取map的输出结果，放到reduce的内存、磁盘中，然后进行merge。当数据量大时，拉取到内存的数据就会引起OOM，所以此时要减少fetch占内存的百分比，将fetch的数据直接放在磁盘上。 有关参数：mapreduce.reduce.shuffle.memory.limit.percent
Default Configuration 默认参数：
<property>
<name>mapreduce.reduce.shuffle.memory.limit.percent</name>
<value>0.25</value>
<description>Expert: Maximum percentage of the in-memory limit that a
single shuffle can consume</description>
</property>OR 或者
hive>set mapreduce.reduce.shuffle.memory.limit.percent;
mapreduce.reduce.shuffle.memory.limit.percent=0.25Solution 处理方案：限制reduce的shuffle内存使用
hive sql
如果是hive sql,在sql执行之前，增加如下语句：
set mapreduce.reduce.shuffle.memory.limit.percent=0.15;MapReduce
如果是 MapReduce 程序，在job conf中设置如下:
job.getConfiguration().setStrings("mapreduce.reduce.shuffle.memory.limit.percent", "0.15");其他参考：http://www.sqlparty.com/yarn在shuffle阶段内存不足问题error-in-shuffle-in-fetcher/
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原始发表：2017年07月19日，如有侵权请联系 cloudcommunity@tencent.com 删除
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