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Posted to issues@flink.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/01/18 20:36:01 UTC
[jira] [Commented] (FLINK-8425) SpilledSubpartitionView not
protected against concurrent release calls
[ https://issues.apache.org/jira/browse/FLINK-8425?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16331165#comment-16331165 ]
ASF GitHub Bot commented on FLINK-8425:
---------------------------------------
GitHub user NicoK opened a pull request:
https://github.com/apache/flink/pull/5314
[FLINK-8425][network] fix SpilledSubpartitionView not protected against concurrent release calls
## What is the purpose of the change
It seems like `SpilledSubpartitionView` is not protected against concurrently calling `releaseAllResources()` as the other `ResultSubpartitionView` implementations. These may happen due to failures, e.g. network channels breaking, and will probably only result in some unexpected exceptions being thrown, e.g. from reading from a closed file reader.
Please note that this PR is based on #4552 which also touches this code area.
## Brief change log
- apply simple synchronization in `SpilledSubpartitionView`
## Verifying this change
This change is a trivial rework / code cleanup without any test coverage.
## Does this pull request potentially affect one of the following parts:
- Dependencies (does it add or upgrade a dependency): **no**
- The public API, i.e., is any changed class annotated with `@Public(Evolving)`: **no**
- The serializers: **no**
- The runtime per-record code paths (performance sensitive): **no** (per buffer, but in spilled cases)
- Anything that affects deployment or recovery: JobManager (and its components), Checkpointing, Yarn/Mesos, ZooKeeper: **no**
- The S3 file system connector: **no**
## Documentation
- Does this pull request introduce a new feature? **no**
- If yes, how is the feature documented? **not applicable**
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/NicoK/flink flink-8425
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/5314.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 #5314
----
commit c6b1f913b01db5acdd1364063b3998ccecb8317d
Author: Zhijiang <wa...@...>
Date: 2017-09-30T06:36:19Z
[FLINK-7456][network] Implement Netty sender incoming pipeline for credit-based
commit 7dd59f25a11b98e896c8a514f409e8ebb3127529
Author: Zhijiang <wa...@...>
Date: 2018-01-18T15:30:34Z
[FLINK-7456][fixup] Add the related parameters in the document
commit 62e16f0f0a52b8f831f4438c6ed99b8aa72c0145
Author: Nico Kruber <ni...@...>
Date: 2018-01-18T19:54:14Z
[FLINK-7456][network] revert integrating initialCredit into unannouncedCredit
A PartitionRequest could actually be sent multiple times and each time it must
contain the same credit (only one of those messages will actually be used).
commit 7bdcae31953339c75927b6c1292d164da52915f1
Author: Zhijiang <wa...@...>
Date: 2018-01-17T06:15:04Z
[hotfix] Add the switch for keeping both the old mode and the new credit-based mode
commit 2bd12a1d3c6cf51778dec0b043fa8b06fcaf06d8
Author: Nico Kruber <ni...@...>
Date: 2018-01-18T16:24:59Z
fixup! [hotfix] Add the switch for keeping both the old mode and the new credit-based mode
commit 321221d6b00d72100088a64c57b121e9571d5dc7
Author: Nico Kruber <ni...@...>
Date: 2018-01-18T20:27:46Z
[FLINK-8425][network] fix SpilledSubpartitionView not protected against concurrent release calls
----
> SpilledSubpartitionView not protected against concurrent release calls
> ----------------------------------------------------------------------
>
> Key: FLINK-8425
> URL: https://issues.apache.org/jira/browse/FLINK-8425
> Project: Flink
> Issue Type: Bug
> Components: Network
> Affects Versions: 1.1.0, 1.0.1, 1.0.2, 1.0.3, 1.2.0, 1.1.1, 1.1.2, 1.1.3, 1.1.4, 1.3.0, 1.2.1, 1.3.1, 1.4.0, 1.3.2
> Reporter: Nico Kruber
> Priority: Minor
>
> It seems like {{SpilledSubpartitionView}} is not protected against concurrently calling {{releaseAllResources}} as the other {{ResultSubpartitionView}} implementations. These may happen due to failures, e.g. network channels breaking, and will probably only result in some unexpected exceptions being thrown, e.g. from reading from a closed file reader.
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