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https://issues.apache.org/jira/browse/FLINK-12047?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16851593#comment-16851593
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Gyula Fora commented on FLINK-12047:
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You are right [~tzulitai] the comments I made were based only on the Jira
description (some time ago) and not on the recent proposal :)
please ignore them
> 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: API / DataStream, Runtime / State Backends
> Reporter: Tzu-Li (Gordon) Tai
> Assignee: Seth Wiesman
> 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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