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https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17011726#comment-17011726
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Yang Wang commented on FLINK-15527:
-----------------------------------
[~lzljs3620320] Currently, {{YarnResourceManager}} is an
{{ActiveResourceManager}}. So running Flink on Yarn is always the active mode.
I think what you want is reactive mode. We only have limited resources(fix
container number), the batch job will run staging by staging.
Just limit the max resource or container number of the
{{ActiveResourceManager}} could work. However, i think it is a hack. We need to
revive this ticket
[FLINK-10407|https://issues.apache.org/jira/browse/FLINK-10407]. Yarn also
could be supported for reactive mode.
[~trohrmann] What do you think of this?
> 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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