Sql 失败：执行错误，从org.apache.hadoop.hive.ql.exec.mr.MapRedTask返回代码2（状态=08S01，代码=2）
我无法在配置单元中使用SQL计数查询，出现以下错误Sql 失败：执行错误，从org.apache.hadoop.hive.ql.exec.mr.MapRedTask返回代码2（状态=08S01，代码=2）,sql,hadoop,hive,mapreduce,Sql,Hadoop,Hive,Mapreduce,我无法在配置单元中使用SQL计数查询，出现以下错误 hive> select count(*) from test; Usage: hadoop fs [generic options] -chgrp [-R] GROUP PATH... WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execut
hive> select count(*) from test;
Usage: hadoop fs [generic options] -chgrp [-R] GROUP PATH...
WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases.
Query ID = Dayanand Baligar_20191219014045_15170c53-6a45-45f3-a857-52a10837bd3a
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapreduce.job.reduces=<number>
Job running in-process (local Hadoop)
2019-12-19 01:40:48,560 Stage-1 map = 100%, reduce = 0%
Ended Job = job_local2087281605_0002 with errors
01:40:48.563 [HiveServer2-Background-Pool: Thread-85] ERROR org.apache.hadoop.hive.ql.exec.Task - Ended Job = job_local2087281605_0002 with errors
Error during job, obtaining debugging information...
01:40:48.568 [Thread-73] ERROR org.apache.hadoop.hive.ql.exec.Task - Error during job, obtaining debugging information...
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
01:40:48.581 [HiveServer2-Background-Pool: Thread-85] ERROR org.apache.hadoop.hive.ql.Driver - FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
MapReduce Jobs Launched:
Stage-Stage-1: HDFS Read: 80 HDFS Write: 75 FAIL
Total MapReduce CPU Time Spent: 0 msec
01:40:48.594 [HiveServer2-Background-Pool: Thread-85] ERROR org.apache.hive.service.cli.operation.Operation - Error running hive query:
org.apache.hive.service.cli.HiveSQLException: Error while processing statement: FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
at org.apache.hive.service.cli.operation.Operation.toSQLException(Operation.java:387) ~[hive-service-2.1.0.jar:2.1.0]
at org.apache.hive.service.cli.operation.SQLOperation.runQuery(SQLOperation.java:237) ~[hive-service-2.1.0.jar:2.1.0]
at org.apache.hive.service.cli.operation.SQLOperation.access$300(SQLOperation.java:90) ~[hive-service-2.1.0.jar:2.1.0]
at org.apache.hive.service.cli.operation.SQLOperation$2$1.run(SQLOperation.java:299) [hive-service-2.1.0.jar:2.1.0]
at java.security.AccessController.doPrivileged(Native Method) ~[?:1.8.0_221]
at javax.security.auth.Subject.doAs(Subject.java:422) [?:1.8.0_221]
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1889) [hadoop-common-2.9.1.jar:?]
at org.apache.hive.service.cli.operation.SQLOperation$2.run(SQLOperation.java:312) [hive-service-2.1.0.jar:2.1.0]
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) [?:1.8.0_221]
at java.util.concurrent.FutureTask.run(FutureTask.java:266) [?:1.8.0_221]
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) [?:1.8.0_221]
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) [?:1.8.0_221]
at java.lang.Thread.run(Thread.java:748) [?:1.8.0_221]
WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases.
01:40:48.563 [HiveServer2-Background-Pool: Thread-85] ERROR org.apache.hadoop.hive.ql.exec.Task - Ended Job = job_local2087281605_0002 with errors
01:40:48.581 [HiveServer2-Background-Pool: Thread-85] ERROR org.apache.hadoop.hive.ql.Driver - FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
Error: Error while processing statement: FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask (state=08S01,code=2)
hive>
hive>从测试中选择count（*）；
用法：hadoop fs[通用选项]-chgrp[-R]组路径。。。
警告：MR上的配置单元在配置单元2中已弃用，在未来版本中可能不可用。考虑使用不同的执行引擎（即SCAPLE、TEZ）或使用HIVE 1 .x版本。
查询ID=Dayanand Baligar_2019121901405_15170c53-6a45-45f3-a857-52a10837bd3a
职位总数=1
正在启动作业1/1
编译时确定的reduce任务数：1
要更改减速器的平均负载（以字节为单位）：
设置hive.exec.reducers.bytes.per.reducer=
为了限制减速器的最大数量：
设置hive.exec.reducers.max=
为了设置恒定数量的减速器：
设置mapreduce.job.reduces=
进程内运行的作业（本地Hadoop）
2019-12-19 01:40:48560第一阶段地图=100%，减少=0%
结束作业=Job_local2087281605_0002，有错误
01:40:48.563[HiveServer2后台池：Thread-85]错误org.apache.hadoop.hive.ql.exec.Task-结束作业=Job_local2087281605_0002，出现错误
作业期间出错，正在获取调试信息。。。
01:40:48.568[Thread-73]ERROR org.apache.hadoop.hive.ql.exec.Task-作业期间出错，正在获取调试信息。。。
失败：执行错误，从org.apache.hadoop.hive.ql.exec.mr.MapRedTask返回代码2
01:40:48.581[HiveServer2后台池：线程-85]错误org.apache.hadoop.hive.ql.Driver-失败：执行错误，返回代码2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
推出MapReduce作业：
第1阶段：HDFS读取：80 HDFS写入：75失败
花费的MapReduce CPU总时间：0毫秒
01:40:48.594[HiveServer2后台池：线程-85]错误org.apache.hive.service.cli.operation.operation-运行配置单元查询时出错：
org.apache.hive.service.cli.HiveSQLException:处理语句时出错：失败：执行错误，从org.apache.hadoop.hive.ql.exec.mr.MapRedTask返回代码2
在org.apache.hive.service.cli.operation.operation.toSQLException（operation.java:387）~[hive-service-2.1.0.jar:2.1.0]
在org.apache.hive.service.cli.operation.SQLOperation.runQuery（SQLOperation.java:237）~[hive-service-2.1.0.jar:2.1.0]
在org.apache.hive.service.cli.operation.SQLOperation.access$300（SQLOperation.java:90）~[hive-service-2.1.0.jar:2.1.0]
在org.apache.hive.service.cli.operation.SQLOperation$2$1.run（SQLOperation.java:299）[hive-service-2.1.0.jar:2.1.0]
在java.security.AccessController.doPrivileged（本机方法）~[？：1.8.0_221]
在javax.security.auth.Subject.doAs（Subject.java:422）[？：1.8.0_221]
在org.apache.hadoop.security.UserGroupInformation.doAs（UserGroupInformation.java:1889）[hadoop-common-2.9.1.jar:？]
在org.apache.hive.service.cli.operation.SQLOperation$2.run（SQLOperation.java:312）[hive-service-2.1.0.jar:2.1.0]
在java.util.concurrent.Executors$RunnableAdapter.call（Executors.java:511）[？：1.8.0_221]
在java.util.concurrent.FutureTask.run（FutureTask.java:266）[？：1.8.0_221]
位于java.util.concurrent.ThreadPoolExecutor.runWorker（ThreadPoolExecutor.java:1149）[？：1.8.0_221]
在java.util.concurrent.ThreadPoolExecutor$Worker.run（ThreadPoolExecutor.java:624）[？：1.8.0_221]
在java.lang.Thread.run（Thread.java:748）[？：1.8.0_221]
警告：MR上的配置单元在配置单元2中已弃用，在未来版本中可能不可用。考虑使用不同的执行引擎（即SCAPLE、TEZ）或使用HIVE 1 .x版本。
01:40:48.563[HiveServer2后台池：Thread-85]错误org.apache.hadoop.hive.ql.exec.Task-结束作业=Job_local2087281605_0002，出现错误
01:40:48.581[HiveServer2后台池：线程-85]错误org.apache.hadoop.hive.ql.Driver-失败：执行错误，返回代码2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
错误：处理语句时出错：失败：执行错误，从org.apache.hadoop.hive.ql.exec.mr.MapRedTask返回代码2（state=08S01，code=2）
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