java – CDH5.2：MR,无法初始化任何输出收集器

Cloudera CDH5.2快速入门VM
Cloudera Manager显示所有节点state = GREEN

我在Eclipse上做了一个MR工作,包括Build Path中的所有相关cloudera jar：
Avro的-1.7.6-cdh5.2.0.jar,
Avro的-mapred-1.7.6-cdh5.2.0-hadoop2.jar,
Hadoop的共同-2.5.0-cdh5.2.0.jar,
Hadoop的MapReduce的客户核心2.5.0-cdh5.2.0.jar

我做了以下工作

hadoop jar jproject1.jar avro00.AvroUserPrefCount -libjars ${LIBJARS} avro/00/in avro/00/out

我得到以下错误,是Java堆问题,任何评论？先感谢您

14/11/14 01:02:40 INFO client.RMProxy: Connecting to ResourceManager at quickstart.cloudera/127.0.0.1:8032
14/11/14 01:02:43 INFO input.FileInputFormat: Total input paths to process : 1
14/11/14 01:02:43 INFO mapreduce.JobSubmitter: number of splits:1
14/11/14 01:02:44 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1415950730849_0001
14/11/14 01:02:45 INFO impl.YarnClientImpl: Submitted application application_1415950730849_0001
14/11/14 01:02:45 INFO mapreduce.Job: The url to track the job: http://quickstart.cloudera:8088/proxy/application_1415950730849_0001/
14/11/14 01:02:45 INFO mapreduce.Job: Running job: job_1415950730849_0001
14/11/14 01:03:04 INFO mapreduce.Job: Job job_1415950730849_0001 running in uber mode : false
14/11/14 01:03:04 INFO mapreduce.Job:  map 0% reduce 0%
14/11/14 01:03:11 INFO mapreduce.Job: Task Id : attempt_1415950730849_0001_m_000000_0, Status : FAILED
Error: java.io.IOException: Unable to initialize any output collector
    at org.apache.hadoop.mapred.MapTask.createSortingCollector(MapTask.java:412)
    at org.apache.hadoop.mapred.MapTask.access$100(MapTask.java:81)
    at org.apache.hadoop.mapred.MapTask$NewOutputCollector.<init>(MapTask.java:695)
    at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:767)
    at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
    at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:168)
    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:1614)
    at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:163)
...
...

解决方法:

检查失败尝试的完整任务日志attempt_1415950730849_0001_m_000000_0将有助于说明您遇到给定异常的原因.

观察此类错误的最常见原因是您的工作中io.sort.mb的值配置错误.它的值绝不能接近(或高于)配置的映射任务堆大小,并且当前也不得超过~2000 MB(Java数组最大大小).

通过MAPREDUCE-6194,最近提出并解决了在真正的故障上使错误更加清晰的上游改进.

标签：java,mapreduce,hadoop,yarn,cloudera-cdh
来源： https://codeday.me/bug/20190830/1767394.html