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https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17013086#comment-17013086
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Till Rohrmann commented on FLINK-15527:
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Isn't the problem that the Hive component does some parallelism inference which
ends up to set the source parallelism to something quite large? The runtime
will just do what the JobGraph tells it to do.
I agree that it could be helpful to limit the number of containers when running
Flink with an active RM. I imagine something like {{--min-task-executors=10
--max-task-executors=20}} for example. But this should not have solved problem
since Flink weren't able to run a job with a parallelism exceeding {{20 *
number_of_slots}}.
> can not control the number of container on yarn single job module
> -----------------------------------------------------------------
>
> Key: FLINK-15527
> URL: https://issues.apache.org/jira/browse/FLINK-15527
> Project: Flink
> Issue Type: Bug
> Components: Connectors / Hive
> Affects Versions: 1.10.0
> Reporter: chenchencc
> Priority: Major
> Fix For: 1.10.0
>
> Attachments: flink-conf.yaml, image-2020-01-09-14-30-46-973.png,
> yarn_application.png
>
>
> when run yarn single job run many container but paralism set 4
> *scripts:*
> ./bin/flink run -m yarn-cluster -ys 3 -p 4 -yjm 1024m -ytm 4096m -yqu bi -c
> com.cc.test.HiveTest2 ./cc_jars/hive-1.0-SNAPSHOT.jar 11.txt test61 6
> _notes_: in 1.9.1 has cli paramter -yn to control the number of containers
> and in 1.10 remove it
> *result:*
> the number of containers is 500+
>
> *code use:*
> query the table and save it to the hdfs text
>
> the storge of table is 200g+
>
>
>
>
> *code:*
> com.cc.test.HiveTest2
> public static void main(String[] args) throws Exception
> { EnvironmentSettings settings =
> EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
> StreamExecutionEnvironment settings2 =
> StreamExecutionEnvironment.getExecutionEnvironment();
> settings2.setParallelism(Integer.valueOf(args[2]));
> StreamTableEnvironment tableEnv = StreamTableEnvironment.create(settings2,
> settings); String name = "myhive"; String defaultDatabase = "test"; String
> hiveConfDir = "/etc/hive/conf"; String version = "1.2.1"; // or 1.2.1 2.3.4
> HiveCatalog hive = new HiveCatalog(name, defaultDatabase, hiveConfDir,
> version); tableEnv.registerCatalog("myhive", hive);
> tableEnv.useCatalog("myhive"); tableEnv.listTables(); Table table =
> tableEnv.sqlQuery("select id from orderparent_test2 where id =
> 'A000021204170176'"); tableEnv.toAppendStream(table, Row.class).print();
> tableEnv.toAppendStream(table, Row.class)
> .writeAsText("hdfs:///user/chenchao1/"+ args[0],
> FileSystem.WriteMode.OVERWRITE); tableEnv.execute(args[1]); }
>
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