GitHub user StefanRRichter opened a pull request:
https://github.com/apache/flink/pull/5880
[FLINK-8836] Fix duplicate method in KryoSerializer to perform deep câ¦
â¦opy of default/registered serializer instances.
This method did create deep copies of registered or default serializer
instances and
as a result those serializer instances can accidentally be shared across
different threads.
## Brief change log
This PR fixes a problem with the `duplicate` method of `KryoSerializer`. We
do now perform deep copies for default and registered serializer objects.
Otherwise, if we share duplicated `KryoSerializer` instances across
different threads, some of their internal serializers might be a shared
instance of a stateful object.
## Verifying this change
This change added tests and can be verified by running
`KryoSerializerConcurrencyTest`.
## 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: (yes)
- The runtime per-record code paths (performance sensitive): (no)
- Anything that affects deployment or recovery: JobManager (and its
components), Checkpointing, Yarn/Mesos, ZooKeeper: (indirectly)
- 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/StefanRRichter/flink FLINK-8836
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/5880.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 #5880
----
commit 617ebd114b86d8f00d15e53dd649bb633fc717f9
Author: Stefan Richter <s.richter@...>
Date: 2018-04-19T13:10:07Z
[FLINK-8836] Fix duplicate method in KryoSerializer to perform deep copy of
default/registered serializer instances.
This method did create deep copies of registered or default serializer
instances and
as a result those serializer instances can accidentally be shared across
different threads.
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