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Posted to issues@flink.apache.org by "Yang Wang (Jira)" <ji...@apache.org> on 2020/04/09 07:07:00 UTC

[jira] [Commented] (FLINK-15641) Support to start init container

    [ https://issues.apache.org/jira/browse/FLINK-15641?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17078989#comment-17078989 ] 

Yang Wang commented on FLINK-15641:
-----------------------------------

[~felixzheng] [~ouyangwuli] Let's move the discussion about init-container under FLINK-15641. I will first share my thoughts about how to the init container works.
 # The users are not aware of init container. When they are using a "flink run/run-application" to submit a per-job cluster, they need to specify the location of user jars, dependencies. The schema could "file://", "hdfs://", "s3://", etc. If it is a remote path, then we need to start the init container to download these jars and share them with JM/TM container via volume.
 # Once the JM lanched, all the jars and dependencies should exit locally. There will be an embedded client to submit the job.
 # The job graph is not downloaded by init container, it is generated by embedded client and will store in the high-availability storage if configured. It is to avoid duplicate regeneration after JM failover.

> Support to start init container
> -------------------------------
>
>                 Key: FLINK-15641
>                 URL: https://issues.apache.org/jira/browse/FLINK-15641
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Deployment / Kubernetes
>            Reporter: Yang Wang
>            Priority: Major
>
> >> Why do we need init container?
> The init container could be used to prepare the use jars and dependencies. Then we could always set the user image to Flink official image both for standalone per-job on K8s or native K8s per-job. When the JobManager and TaskManager container launched, the user jars will already exist there. I think many users are running standalone per-job cluster in production by using this way.
> The init container only works for K8s cluster.



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