我正在跑步
我能够在Spark上配置配置单元,但是当我尝试执行查询时,它会给出以下错误信息。
hive> SELECT COUNT(*) AS rcount, yom From service GROUP BY yom;
Query ID = hduser_20160110105649_4c90528a-76ba-4127-8849-54f2152be817
Total jobs = 1
Launching Job 1 out 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>
Starting Spark Job = b9cbbd47-f41f-48b5-98c3-efcaa145390e
Status: SENT
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.spark.SparkTask
我该如何解决这个问题?
答案 0 :(得分:0)
我有同样的问题,但由于某些工作正在运行,我没有配置纱线。我不确定这是问题的解决方案。
yarn.resourcemanager.scheduler.class=org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler
您是否按照文件说明配置了纱线?
答案 1 :(得分:-1)
纱-site.xml中:
<property>
<name>yarn.resourcemanager.scheduler.class</name>
<value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler</value>
</property>