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https://issues.apache.org/jira/browse/FLINK-4960?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15632397#comment-15632397
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ASF GitHub Bot commented on FLINK-4960:
---------------------------------------
GitHub user kl0u opened a pull request:
https://github.com/apache/flink/pull/2747
[FLINK-4960] Allow the AbstractStreamOperatorTestHarness to test scaling
down
As the title describes, this PR just adds a method in the
`AbstractStreamOperatorTestHarness` that allows multiple partial operator
states takes with the `snapshot()` method, to be combined into a single one.
This, combined with the already existing functionality, will allow testing
arbitrary rescaling scenarios.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/kl0u/flink scaling_down_tests
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/2747.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #2747
----
commit df4769d5cd26a1b84e39e1884b6e8b22975134dc
Author: kl0u <[email protected]>
Date: 2016-10-28T13:37:42Z
Allows the AbstractStreamOperatorTestHarness to re-scale arbitrarily
commit b129eacda31fa4ed449405004d74ffdb600fcf70
Author: kl0u <[email protected]>
Date: 2016-11-03T10:57:57Z
[FLINK-4960] Allow the AbstractStreamOperatorTestHarness to test scaling
down
----
> Allow the AbstractStreamOperatorTestHarness to test scaling down
> ----------------------------------------------------------------
>
> Key: FLINK-4960
> URL: https://issues.apache.org/jira/browse/FLINK-4960
> Project: Flink
> Issue Type: New Feature
> Components: Tests
> Reporter: Kostas Kloudas
> Assignee: Kostas Kloudas
> Fix For: 1.2.0
>
>
> Currently the AbstractStreamOperatorTestHarness allows for testing an
> operator when scaling up, through snapshot and restore. This is not enough
> as many interesting corner cases arise when scaling down or during
> arbitrary combinations of scaling up and down.
> This issue targets to add this functionality so that an operator can snapshot
> its state, restore with different parallelism, and later scale down or
> further up.
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