hadoop - 在Hadoop上配置Hive，Map Reduce无法正常工作-错误:找不到或加载主类1600

Question

需要解决以下问题的帮助。
我已经在Windows 10上将Ubuntu安装为Windows子系统。
已安装Hadoop 3.1.3和Hive 3.1.2

当我运行没有MapReduce的普通查询时，它运行良好。

hive> use bhudwh;
OK
Time taken: 1.075 seconds
hive> select id from matches where id < 5;
OK
1
2
3
4
Time taken: 6.012 seconds, Fetched: 4 row(s)
hive>

运行MapReduce查询时，它将引发错误-错误:找不到或加载主类1600。

hive> select distinct id from matches;
Query ID = bhush_20200529144705_62bc4f10-1604-453f-a90c-ed905c9c1fe9
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks not specified. Estimated from input data size: 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>
Starting Job = job_1590670326852_0003, Tracking URL = http://DESKTOP-EU9VK4S.localdomain:8088/proxy/application_1590670326852_0003/
Kill Command = /mnt/e/Study/Hadoop/hadoop-3.1.3/bin/mapred job  -kill job_1590670326852_0003
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 1
2020-05-29 14:47:24,644 Stage-1 map = 0%,  reduce = 0%
2020-05-29 14:47:41,549 Stage-1 map = 100%,  reduce = 100%
Ended Job = job_1590670326852_0003 with errors
Error during job, obtaining debugging information...
Examining task ID: task_1590670326852_0003_m_000000 (and more) from job job_1590670326852_0003
Task with the most failures(4):
-----
Task ID:
  task_1590670326852_0003_m_000000
URL:
  http://0.0.0.0:8088/taskdetails.jsp?jobid=job_1590670326852_0003&tipid=task_1590670326852_0003_m_000000
-----
Diagnostic Messages for this Task:
[2020-05-29 14:47:40.355]Exception from container-launch.
Container id: container_1590670326852_0003_01_000005
Exit code: 1
[2020-05-29 14:47:40.360]Container exited with a non-zero exit code 1. Error file: prelaunch.err.
Last 4096 bytes of prelaunch.err :
Last 4096 bytes of stderr :
Error: Could not find or load main class 1600
[2020-05-29 14:47:40.361]Container exited with a non-zero exit code 1. Error file: prelaunch.err.
Last 4096 bytes of prelaunch.err :
Last 4096 bytes of stderr :
Error: Could not find or load main class 1600
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
MapReduce Jobs Launched:
Stage-Stage-1: Map: 1  Reduce: 1   HDFS Read: 0 HDFS Write: 0 FAIL
Total MapReduce CPU Time Spent: 0 msec
hive>

以下是Hadoop日志的几行内容。

2020-05-29 14:47:28,262 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Reduce slow start threshold not met. completedMapsForReduceSlowstart 1
2020-05-29 14:47:28,262 INFO [AsyncDispatcher event handler] org.apache.hadoop.mapreduce.v2.app.job.impl.TaskAttemptImpl: Diagnostics report from attempt_1590670326852_0003_m_000000_0: [2020-05-29 14:47:27.559]Exception from container-launch.
Container id: container_1590670326852_0003_01_000002
Exit code: 1
[2020-05-29 14:47:27.565]Container exited with a non-zero exit code 1. Error file: prelaunch.err.
Last 4096 bytes of prelaunch.err :
Last 4096 bytes of stderr :
Error: Could not find or load main class 1600
[2020-05-29 14:47:27.566]Container exited with a non-zero exit code 1. Error file: prelaunch.err.
Last 4096 bytes of prelaunch.err :
Last 4096 bytes of stderr :
Error: Could not find or load main class 1600

我尝试了在不同线程中建议的所有配置更改，但无法正常工作。

我还检查了 WordCount 的Hadoop MapReduce示例，它也因相同的错误而失败。
所有Hadoop进程似乎运行良好。 jps 命令的输出。

9473 NodeManager
11798 Jps
9096 ResourceManager
8554 DataNode
8331 NameNode
8827 SecondaryNameNode

请提出如何解决此错误的建议。

Answer 1

看起来MapReduce任务的启动命令包含非法选项1600。您需要检查yarn-site.xml中是否存在值1600的非法配置yarn.app.mapreduce.am.command-opts。