[
https://issues.apache.org/jira/browse/FLINK-25335?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
KevinyhZou updated FLINK-25335:
-------------------------------
Description:
When submit olap query by flink client to Flink Session Cluster, the JobMaster
will start scheduling and enumerate the hive source split by
`HiveSourceFileEnumerator`, and then deploy the query task and execute it. if
the source
table has a lot of partition and the partition file is big, the source split
enumerate will cost a lot of time, which would block the task deployment &
execution for a long time, and the dashboard can not appear
!image-2021-12-16-11-14-36-030.png!
JobMaster should async enumerate the hive split, and meanwhile deploy the query
task and execute it. when the deployment is finished, source operator fetch
split and read data, and the split enumeration is also going on.
was:
When submit olap query by flink client to Flink Session Cluster, the JobMaster
will start scheduling and enumerate the hive source split by
`HiveSourceFileEnumerator`, and then deploy the query task and execute it. if
the source
table has a lot of partition and the partition file is big, the source split
enumerate will cost a lot of time, which would block the task deployment &
execution for a long time, and the dashboard can not appear
JobMaster should async enumerate the hive split, and meanwhile deploy the query
task and execute it. when the deployment is finished, source operator fetch
split and read data, and the split enumeration is also going on.
> Improvoment of task deployment by enable source split async enumerate
> ---------------------------------------------------------------------
>
> Key: FLINK-25335
> URL: https://issues.apache.org/jira/browse/FLINK-25335
> Project: Flink
> Issue Type: Sub-task
> Components: Runtime / Coordination
> Affects Versions: 1.12.1
> Reporter: KevinyhZou
> Priority: Major
> Attachments: image-2021-12-16-11-14-36-030.png
>
>
> When submit olap query by flink client to Flink Session Cluster, the
> JobMaster will start scheduling and enumerate the hive source split by
> `HiveSourceFileEnumerator`, and then deploy the query task and execute it. if
> the source
> table has a lot of partition and the partition file is big, the source split
> enumerate will cost a lot of time, which would block the task deployment &
> execution for a long time, and the dashboard can not appear
> !image-2021-12-16-11-14-36-030.png!
> JobMaster should async enumerate the hive split, and meanwhile deploy the
> query task and execute it. when the deployment is finished, source operator
> fetch split and read data, and the split enumeration is also going on.
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
