hadoop - 查询HiveServer2时Impyla从org.apache.hadoop.hive.ql.exec.mr.MapRedTask返回代码1

Question

我正在使用Impyla来查询HIVE的一些结果，但是，我遇到了这个问题:

从Impyla:

impala.error.OperationalError: Error while processing statement: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask

和从HiveServer2:

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 = hduser_20180827031927_fdb148b0-725b-434c-a0f8-98b6843d4348
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks not specified. Defaulting to jobconf value of: 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>
FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask

我的源代码是:

from impala.dbapi import connect
import sys


dbName = sys.argv[1:][0]
query = sys.argv[1:][1]

conn = connect(host='192.168.0.10', port=10000, database=dbName , auth_mechanism='NOSASL' , use_ssl=True)
cursor = conn.cursor()
cursor.execute(query, configuration={'hive.exec.reducers.bytes.per.reducer': '100000', 'hive.auto.convert.join.noconditionaltask':'false','mapreduce.job.reduces':'1','hive.auto.convert.join':'false'})
returnData = []
for row in cursor:
    returnData.append(row[0])
pprint(returnData)

如您所见，我添加了许多配置，但是它不起作用

Answer 1

根据您的错误，无法知道发生了什么。

我不确定在impyla中启用调试日志记录，因此您需要转到YARN UI来查找查询。

如果YARN没有运行，我认为您会得到更具描述性的错误，例如“无法提交作业”，尽管该错误可能不会从HiveServer传播出去。