hive错误集锦

本文汇总了Hive在执行过程中遇到的一些常见错误及其解决方案,包括参数未设置导致的任务执行失败、没有分区条件的查询错误及数据倾斜问题。通过调整Hive执行模式、设置压缩和并行执行等参数,以及正确处理分区和数据异常,可以有效解决这些问题。

1.

Total jobs = 1

Stage-1 is selected by condition resolver.
Launching Job 1 out of 1
Number of reduce tasks not specified. Estimated from input data size: 999
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_1441775634529_4716705, Tracking URL = http://sh02svr2882.hadoop.sh2.ctripcorp.com:8088/proxy/application_1441775634529_4716705/
Kill Command = /usr/lib/hadoop/bin/hadoop job  -kill job_1441775634529_4716705
Hadoop job information for Stage-1: number of mappers: 0; number of reducers: 0
2015-11-09 14:03:18,207 Stage-1 map = 0%,  reduce = 0%
Ended Job = job_1441775634529_4716705 with errors
Error during jo
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