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https://issues.apache.org/jira/browse/FLINK-7420?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16237632#comment-16237632
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ASF GitHub Bot commented on FLINK-7420:
---------------------------------------
Github user tillrohrmann commented on a diff in the pull request:
https://github.com/apache/flink/pull/4942#discussion_r148789659
--- Diff:
flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/KryoRegistrationSerializerConfigSnapshot.java
---
@@ -217,7 +217,7 @@ public void read(DataInputView in) throws IOException {
/**
* Placeholder dummy for a previously registered class that can no
longer be found in classpath on restore.
*/
- public static class DummyRegisteredClass {}
+ public static class DummyRegisteredClass implements Serializable {}
--- End diff --
`serialVersionUID` is missing.
> Move all Avro code to flink-avro
> --------------------------------
>
> Key: FLINK-7420
> URL: https://issues.apache.org/jira/browse/FLINK-7420
> Project: Flink
> Issue Type: Improvement
> Components: Build System
> Reporter: Stephan Ewen
> Assignee: Aljoscha Krettek
> Priority: Blocker
> Fix For: 1.4.0
>
>
> *Problem*
> Currently, the {{flink-avro}} project is a shell with some tests and mostly
> duplicate and dead code. The classes that use Avro are distributed quite
> wildly through the code base, and introduce multiple direct dependencies on
> Avro in a messy way.
> That way, we cannot create a proper fat Avro dependency in which we shade
> Jackson away.
> Also, we expose Avro as a direct and hard dependency on many Flink modules,
> while it should be a dependency that users that use Avro types selectively
> add.
> *Suggested Changes*
> We should move all Avro related classes to {{flink-avro}}, and give
> {{flink-avro}} a dependency on {{flink-core}} and {{flink-streaming-java}}.
> - {{AvroTypeInfo}}
> - {{AvroSerializer}}
> - {{AvroRowSerializationSchema}}
> - {{AvroRowDeserializationSchema}}
> To be able to move the the avro serialization code from {{flink-ore}} to
> {{flink-avro}}, we need to load the {{AvroTypeInformation}} reflectively,
> similar to how we load the {{WritableTypeInfo}} for Hadoop.
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