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From "Tzu-Li (Gordon) Tai (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-12047) Savepoint connector to read / write / process savepoints
Date Thu, 28 Mar 2019 09:22:01 GMT

    [ https://issues.apache.org/jira/browse/FLINK-12047?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16803736#comment-16803736
] 

Tzu-Li (Gordon) Tai commented on FLINK-12047:
---------------------------------------------

Not entirely sure what components this should be tagged with. Tagged with "State Backends"
for now.

> Savepoint connector to read / write / process savepoints
> --------------------------------------------------------
>
>                 Key: FLINK-12047
>                 URL: https://issues.apache.org/jira/browse/FLINK-12047
>             Project: Flink
>          Issue Type: New Feature
>          Components: Runtime / State Backends
>            Reporter: Tzu-Li (Gordon) Tai
>            Priority: Major
>
> This JIRA tracks the ongoing efforts and discussions about a means to read / write /
process state in savepoints.
> There are already two known existing works (that was mentioned already in the mailing
lists) related to this:
> 1. Bravo [1]
> 2. https://github.com/sjwiesman/flink/tree/savepoint-connector
> Essentially, the two tools both provide a connector to read or write a Flink savepoint,
and allows to utilize Flink's processing APIs for querying / processing the state in the savepoint.
> We should try to converge the efforts on this, and have a savepoint connector like this
in Flink.
> With this connector, the high-level benefits users should be able to achieve with it
are:
> 1. Create savepoints using existing data from other systems (i.e. bootstrapping a Flink
job's state with data in an external database).
> 2. Derive new state using existing state
> 3. Query state in savepoints, for example for debugging purposes
> 4. Migrate schema of state in savepoints offline, compared to the current more limited
approach of online migration on state access.
> 5. Change max parallelism of jobs, or any other kind of fixed configuration, such as
operator uids.
> [1] https://github.com/king/bravo



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