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From "Petr Novotnik (JIRA)" <j...@apache.org>
Subject [jira] [Created] (FLINK-6285) resolve hadoop-compatibility confusion
Date Mon, 10 Apr 2017 06:15:41 GMT
Petr Novotnik created FLINK-6285:

             Summary: resolve hadoop-compatibility confusion
                 Key: FLINK-6285
                 URL: https://issues.apache.org/jira/browse/FLINK-6285
             Project: Flink
          Issue Type: Bug
    Affects Versions: 1.2.0
            Reporter: Petr Novotnik

As of Flink 1.2.0, the binary distribution does not include classes from the `hadoop-compatibility`
dependency anymore.

flink-1.2.0> for i in lib/*.jar; jar tf $i | grep WritableTypeInfo; end
flink-1.2.0 [1]> # the above finds nothing

Therefore, it is necessary to copy the compatibility jar to flink's installation `lib/` directory
(or a sub-directory) if one wishes to use hadoop input formats. Merely packaging the compatibility
jar as part of an application's "fat jar" does not suffice, as code in [TypeExtractor#createHadoopWritableTypeInfo](https://github.com/apache/flink/blob/master/flink-core/src/main/java/org/apache/flink/api/java/typeutils/TypeExtractor.java#L1988)'s
relies on being able to see the compatibility classes through the classloader `TypeExtractor`
itself was loaded by. On yarn this seems not to be the case (e.g. when running the application
through `flink run -m yarn-cluster ...`).

* Ideally, we'd fix the class loading issue, such that flink's installation does not need
to be altered, due to the need of a particular application.
* Alternatively, we could include the hadoop-compatibility jar as part of the binary distribution
and provide corresponding instructions, [1] and [2] seem to be good places.

[1] https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/batch/hadoop_compatibility.html
[2] https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/migration.html

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