HIVE报错:ERROR:FAILED:Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapReduce

执行Hive卡死或报错:

INFO  : Query ID = hive_20190910180101_f63579a5-ee9a-4ab3-87a7-2c9fb7c1a7ab
INFO  : Total jobs = 5
INFO  : Starting task [Stage-38:CONDITIONAL] in serial mode
INFO  : Stage-1 is selected by condition resolver.
INFO  : Launching Job 1 out of 5
INFO  : Starting task [Stage-1:MAPRED] in serial mode
INFO  : Number of reduce tasks not specified. Defaulting to jobconf value of: 2
INFO  : In order to change the average load for a reducer (in bytes):
INFO  :   set hive.exec.reducers.bytes.per.reducer=
INFO  : In order to limit the maximum number of reducers:
INFO  :   set hive.exec.reducers.max=
INFO  : In order to set a constant number of reducers:
INFO  :   set mapreduce.job.reduces=
INFO  : number of splits:2
INFO  : Submitting tokens for job: job_1567761414821_0189
INFO  : The url to track the job: http://master:7077/proxy/application_1567761414821_0189/
INFO  : Starting Job = job_1567761414821_0189, Tracking URL = http://master:7077/proxy/application_1567761414821_0189/
INFO  : Kill Command = /opt/cloudera/parcels/CDH-5.12.1-1.cdh5.12.1.p0.3/lib/hadoop/bin/hadoop job  -kill job_1567761414821_0189

执行到这里卡死,时间长了报错:

INFO  : Hadoop job information for Stage-1: number of mappers: 2; number of reducers: 2
INFO  : 2019-09-10 18:01:39,431 Stage-1 map = 0%,  reduce = 0%
INFO  : 2019-09-10 18:01:47,810 Stage-1 map = 50%,  reduce = 0%, Cumulative CPU 5.99 sec
INFO  : 2019-09-10 18:02:06,319 Stage-1 map = 100%,  reduce = 100%, Cumulative CPU 5.99 sec
INFO  : MapReduce Total cumulative CPU time: 5 seconds 990 msec
ERROR : Ended Job = job_1567761414821_0189 with errors
ERROR : FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
INFO  : MapReduce Jobs Launched: 
INFO  : Stage-Stage-1: Map: 2  Reduce: 2   Cumulative CPU: 5.99 sec   HDFS Read: 19557391 HDFS Write: 0 FAIL
INFO  : Total MapReduce CPU Time Spent: 5 seconds 990 msec
INFO  : Completed executing command(queryId=hive_20190910180101_f63579a5-ee9a-4ab3-87a7-2c9fb7c1a7ab); Time taken: 32.908 seconds
Error: Error while processing statement: FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask (state=08S01,code=2)
 

可以看到Kylin都卡了几百分钟

 

很可是因为没有资源的原因:

首先检查Yarn资源:

可以看到使用的默认队列 以及三台节点加起来分配8.6G. 但是我每台节点分配了32G内存

还有就是,我划分了两个队列,每个队列50%资源。

没有资源,所以两种方法,第一个就是一个一个来试一下,或者加大资源。

 

yarn的资源模型 yarn划分队列配置:

https://blog.csdn.net/LiHaoHang6/article/details/98082863