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Xuefu Zhang commented on HIVE-17270: ------------------------------------ 1. The number of executors could be a matter of MiniSparkOnYarn configuration. By default, it has only one node manager. However, I'm not sure how many containers are allowed by that node manager. cc: [~lirui]. 2. I didn't get why the reducer should be 4. Though the number of available cores/memory plays a role, data size is also a factor. {{SetSparkReducerParallelism}} is the right place to look. > Qtest results show wrong number of executors > -------------------------------------------- > > Key: HIVE-17270 > URL: https://issues.apache.org/jira/browse/HIVE-17270 > Project: Hive > Issue Type: Bug > Components: Spark > Affects Versions: 3.0.0 > Reporter: Peter Vary > Assignee: Peter Vary > > The hive-site.xml shows, that the TestMiniSparkOnYarnCliDriver uses 2 cores, > and 2 executor instances to run the queries. See: > https://github.com/apache/hive/blob/master/data/conf/spark/yarn-client/hive-site.xml#L233 > When reading the log files for the query tests, I see the following: > {code} > 2017-08-08T07:41:03,315 INFO [0381325d-2c8c-46fb-ab51-423defaddd84 main] > session.SparkSession: Spark cluster current has executors: 1, total cores: 2, > memory per executor: 512M, memoryFraction: 0.4 > {code} > See: > http://104.198.109.242/logs/PreCommit-HIVE-Build-6299/succeeded/171-TestMiniSparkOnYarnCliDriver-insert_overwrite_directory2.q-scriptfile1.q-vector_outer_join0.q-and-17-more/logs/hive.log > When running the tests against a real cluster, I found that running an > explain query for the first time I see 1 executor, but running it for the > second time I see 2 executors. > Also setting some spark configuration on the cluster resets this behavior. > For the first time I will see 1 executor, and for the second time I will see > 2 executors again. -- This message was sent by Atlassian JIRA (v6.4.14#64029)