[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17094303#comment-17094303
]
Till Rohrmann commented on FLINK-15527:
---
Agreed. This seems to be duplicate of FLINK-16605. Closing this ticket now.
> 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: Deployment / YARN
>Affects Versions: 1.10.0
>Reporter: chenchencc
>Priority: Major
> Labels: usability
> Fix For: 1.11.0
>
> 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17094248#comment-17094248
]
Xintong Song commented on FLINK-15527:
--
Hi all,
I believe this issue should be solved by FLINK-16605, which is very close to be
finished. It would be appreciated if you could help confirm that. And if
there's no objections, I'll try to close this ticket.
Thanks.
> 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: Deployment / YARN
>Affects Versions: 1.10.0
>Reporter: chenchencc
>Priority: Major
> Labels: usability
> Fix For: 1.11.0
>
> 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17029040#comment-17029040
]
Jingsong Lee commented on FLINK-15527:
--
I labeled it usability because I found that the typical way of running batch
jobs is basically to limit the maximum number of processes and high parallelism.
> 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: Deployment / YARN
>Affects Versions: 1.10.0
>Reporter: chenchencc
>Priority: Major
> Labels: usability
> Fix For: 1.11.0
>
> 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17014009#comment-17014009
]
Jingsong Lee commented on FLINK-15527:
--
Hi [~xintongsong]
You are right about using yarn queue with limited resource quota. This is an
inconvenient solution.
At present, our default behavior is batch rather than pipeline, which has many
advantages and does not affect performance. Generating more parallelisms means
that the granularity of fault tolerance can be smaller. The typical mode of
batch job is limited resources and large parallelisms. Batch by batch
parallelisms runs slowly. So generally speaking, the amount of parallelisms has
little to do with the current resources.
> 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17014006#comment-17014006
]
Xintong Song commented on FLINK-15527:
--
{quote}> Hive setting too high job parallelism
It is not a problem, that's how it should be. This is not a bug.
I agree that we can introduce max containers in 1.11.
For 1.10, user can control their hive source with
"table.exec.hive.infer-source-parallelism.max" to limit max parallelism. But
not work for complex jobs. If a job have a lot of stages, user are hard to
control the total parallelism in SQL world.
{quote}
Jut trying to understand the problem. If this is not a but, you mean the job is
suppose to have a very high parallelism. But these parallel tasks do not need
to all run at the same time. The user would prefer to use a smaller set or yarn
cluster resources to run these tasks in a pipelined (one after another) manner.
Am I understanding it correctly? [~lzljs3620320]
If that is indeed the case, one can also try to limit the job resource
consumption by configuring a dedicated queue with limited resource quota for
the job. Of course that would be much more inconvenient compared to control it
with flink directly, and may not always be doable (say if the flink user do not
have admin access to the yarn cluster). I'm just trying to provide an idea of
potential workaround for Flink 1.10 as it is.
> 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17014002#comment-17014002
]
Jingsong Lee commented on FLINK-15527:
--
> Hive setting too high job parallelism
It is not a problem, that's how it should be. This is not a bug.
I agree that we can introduce max containers in 1.11.
For 1.10, user can control their hive source with
"table.exec.hive.infer-source-parallelism.max" to limit max parallelism. But
not work for complex jobs. If a job have a lot of stages, user are hard to
control the total parallelism in SQL world.
> 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17013999#comment-17013999
]
Yangze Guo commented on FLINK-15527:
I'm not quite familiar with the contract of yarn session mode in early version,
but it seems to be changed. You could follow [~fly_in_gis]'s
[reply|https://issues.apache.org/jira/browse/FLINK-15527?focusedCommentId=17011456&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-17011456].
+1 to provide a mechanism to let user controls the resource usage of Flink
cluster. Regarding the solution, two proposals emerge in this thread:
- limit the number of containers(or total resource) through configuration
- implement reactive resource manager
Also agreed with [~xintongsong], this feature should not be add to release-1.10.
> 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17014000#comment-17014000
]
Xintong Song commented on FLINK-15527:
--
I would suggest we use this ticket to track and fix the problem Hive setting
too high job parallelism (in 1.10.0 I assume), and create another ticket for
control total resource of flink cluster and try to improve this in the next
release. WDYT?
> 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
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]
Xintong Song commented on FLINK-15527:
--
Thanks for involving me, [~lzljs3620320].
If I understand correctly, for this specific case, the problem is that Hive
component overlooked user's configuration '-p 4' and set the job with too high
parallelism.
I also agree that it would be helpful to control the number of task executors
not relying on the parallelism, e.g., something like [~trohrmann] mentioned. I
think at least for batch jobs this approach will allow us to pipeline the tasks
and run them with much fewer slots. However, I'm not sure whether this should
be fixed in 1.10.0, since it sound like a feature improvement rather than a bug
fix to me, and we have far beyond the feature freeze.
> 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17013989#comment-17013989
]
Kurt Young commented on FLINK-15527:
IIRC yarn session mode is just a standalone cluster but automatically deployed
by yarn, so this have been changed? IMO this mode is very useful for users,
they can easily control the max resource usage of the flink cluster. If user
only deploy one job into this cluster, it can also simulate the usage like
controlling the max resource usage of a single job.
> 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17013986#comment-17013986
]
Jingsong Lee commented on FLINK-15527:
--
CC: [~xintongsong]
> 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 =
> 'A21204170176'"); 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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[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17013983#comment-17013983
]
Yangze Guo commented on FLINK-15527:
[~ykt836] I think this approach won't solve this problem since we now using the
same "Active" resource manager in session mode and per-job mode. We'd better
add some primitives for container limitation or introduce Reactive resource
manager.
> 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 =
> 'A21204170176'"); 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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[
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]
Kurt Young commented on FLINK-15527:
[~chenchencc] can you use yarn session mode to achieve what you need? To me,
yarn per job mode is somewhat like map reduce, we might launch as many
containers as we needed after infer the job parallelism. With session mode, you
can strictly control the number of TMs, aka containers, and no matter how high
the parallelism if for your source operator, they will be finished step by
step.
> 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 =
> 'A21204170176'"); 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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[
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]
Jingsong Lee commented on FLINK-15527:
--
Hi [~trohrmann], thanks for your involving. I have provided
"table.exec.hive.infer-source-parallelism.max" to limit max parallelism for
hive source. But not still not satisfy user's requirement. [~chenchencc]
> 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 =
> 'A21204170176'"); 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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[
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]
Till Rohrmann commented on FLINK-15527:
---
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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17011726#comment-17011726
]
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 =
> 'A21204170176'"); 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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[
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]
Jingsong Lee commented on FLINK-15527:
--
Hi [~trohrmann], But what users really want is control the max resource of yarn
application. That is a better way to solve his problem. What do you think about
this?
(hive parameter is just workaround)
> 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17011596#comment-17011596
]
Till Rohrmann commented on FLINK-15527:
---
Changed the affected components as this seems to be a problem with Flink's Hive
component and not its Yarn integration.
> 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17011509#comment-17011509
]
chenchencc commented on FLINK-15527:
i run the yarn-session.sh --help just now.i didn't found the -n.I think flink
should control the max containers.. And the
table.exec.hive.infer-source-parallelism.max paramter is useful for the hive
connectors.
> 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: Deployment / YARN
>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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17011489#comment-17011489
]
Jingsong Lee commented on FLINK-15527:
--
[~chenchencc] Yes, you can, that is the same.
> 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: Deployment / YARN
>Affects Versions: 1.10.0
>Reporter: chenchencc
>Priority: Major
> Fix For: 1.10.0
>
> Attachments: application_1576096842353_203666.log, 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17011486#comment-17011486
]
chenchencc commented on FLINK-15527:
hi [~lzljs3620320] , thanks your answer . and Can i start yarn session to do it
for 1.10 verion?
> 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: Deployment / YARN
>Affects Versions: 1.10.0
>Reporter: chenchencc
>Priority: Major
> Fix For: 1.10.0
>
> Attachments: application_1576096842353_203666.log, 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 =
> 'A21204170176'"); 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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[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17011482#comment-17011482
]
Jingsong Lee commented on FLINK-15527:
--
Hi [~chenchencc], you can add config option
"table.exec.hive.infer-source-parallelism.max" to "flink-conf.yaml" to limit
source parallelism. (This config option is experimental feature)
> 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: Deployment / YARN
>Affects Versions: 1.10.0
>Reporter: chenchencc
>Priority: Major
> Fix For: 1.10.0
>
> Attachments: application_1576096842353_203666.log, 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17011479#comment-17011479
]
Jingsong Lee commented on FLINK-15527:
--
Hi [~fly_in_gis], can we add back `-yn` to limit the max resource of yarn app?
I've had this requirement several times from users.
> 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: Deployment / YARN
>Affects Versions: 1.10.0
>Reporter: chenchencc
>Priority: Major
> Fix For: 1.10.0
>
> Attachments: application_1576096842353_203666.log, 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17011478#comment-17011478
]
chenchencc commented on FLINK-15527:
But i don't want to use so much parallelism. I accpet to use less paralilelism
and use more time
> 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: Deployment / YARN
>Affects Versions: 1.10.0
>Reporter: chenchencc
>Priority: Major
> Fix For: 1.10.0
>
> Attachments: application_1576096842353_203666.log, 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
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]
Kurt Young commented on FLINK-15527:
According to your log:
2020-01-09 14:05:03,775 INFO org.apache.hadoop.mapred.FileInputFormat - Total
input paths to process : 1343
So we set source operator's parallelism to 1000, that's way you have hundreds
of contains.
> 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: Deployment / YARN
>Affects Versions: 1.10.0
>Reporter: chenchencc
>Priority: Major
> Fix For: 1.10.0
>
> Attachments: application_1576096842353_203666.log, 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
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]
chenchencc commented on FLINK-15527:
Because the secure of company , i difficutely to open the flink web.
> 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: Deployment / YARN
>Affects Versions: 1.10.0
>Reporter: chenchencc
>Priority: Major
> Fix For: 1.10.0
>
> Attachments: 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17011456#comment-17011456
]
Yang Wang commented on FLINK-15527:
---
[~chenchencc] Even the `-yn` exists in cli options, it could not take effect.
Since after FLIP-6, the flink {{YarnResourceManager}} will always allocate
TaskManagers dynamically on demand.
>From 1.10, the Yarn per-job has been real per job mode. Please refer
>[FLIP-82|https://cwiki.apache.org/confluence/display/FLINK/FLIP-82%3A+Use+real+per-job+mode+for+YARN+per-job+attached+execution]
> for more information. Before 1.10, we use a Yarn session to simulate per-job
>in attach mode. This is the major changes for Yarn per-job mode.
Regarding the changes, Flink should not have containers leak. Could you share
your jobmanager logs so that we could find the root cause? And could you please
check all the slots on the 500+ containers are in use?
> 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: Deployment / YARN
>Affects Versions: 1.10.0
>Reporter: chenchencc
>Priority: Major
> Fix For: 1.10.0
>
> Attachments: flink-conf.yaml
>
>
> 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 =
> 'A21204170176'"); 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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[jira] [Commented] (FLINK-15527) can not control the number of container on yarn single job module
[
https://issues.apache.org/jira/browse/FLINK-15527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17011453#comment-17011453
]
Kurt Young commented on FLINK-15527:
Hi, have you start the job successfully? Could you check what's the real
parallelism of your job?
> 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: Deployment / YARN
>Affects Versions: 1.10.0
>Reporter: chenchencc
>Priority: Major
> Fix For: 1.10.0
>
> Attachments: flink-conf.yaml
>
>
> 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 =
> 'A21204170176'"); 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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