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https://issues.apache.org/jira/browse/FLINK-6909?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16270541#comment-16270541
 ] 

ASF GitHub Bot commented on FLINK-6909:
---------------------------------------

GitHub user twalthr opened a pull request:

    https://github.com/apache/flink/pull/5097

    [FLINK-6909] [FLINK-7450] [types] Improve the handling of POJOs and 
clean-up type extraction

    ## Contribution Checklist
    
    This PR solves a variety of issues that are related to the type extraction 
of POJOs and tuples.
    
    ## What is the purpose of the change
    
    Make the type extraction more stable and help users with more detailed 
exceptions.
    
    ## Brief change log
    
    - Until now, subclasses of tuples where not properly checked for additional 
fields and serializability: Non-static subclasses of tuples or classes with no 
default constructor were valid types.
    - Even existing tests and Gelly classes where not implemented correctly.
    - I fixed bugs related to bounded generic fields in POJOs.
    - The type extractor has been refactored and simplified in order to have 
more consistent behavior. E.g., getForClass was unable to determine subclasses 
of tuples.
    - Type extraction tests have been refactored to remove all warnings that 
were present.
    - I tested generated Lombok POJOs. 
    - Class cast execeptions in CSV reader have been fixed as well.
    - I added a utility method `PojoTypeInfo.ensurePojo(MyPojo.class)` that 
validates if a type is a POJO and throws an exception with reasons why the 
given field is no POJO. I think this can help users a lot to avoid common 
mistakes.
    
    
    ## Verifying this change
    
    Tests have been added to `TypeExtractorTest`, `PojoTypeExtractionTest`. 
Existing tests still run.
    
    ## Does this pull request potentially affect one of the following parts:
    
      - Dependencies (does it add or upgrade a dependency): yes
      - The public API, i.e., is any changed class annotated with 
`@Public(Evolving)`: yes
      - The serializers: no
      - The runtime per-record code paths (performance sensitive): no
      - 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/twalthr/flink FLINK-6909

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/flink/pull/5097.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 #5097
    
----
commit ab3c24ab9ecbe4b39cc9ecb9e1d3b07538dacc36
Author: twalthr <twal...@apache.org>
Date:   2017-11-24T14:59:42Z

    [FLINK-6909] [FLINK-7450] [types] Improve the handling of POJOs and 
clean-up type extraction

----


> Flink should support Lombok POJO
> --------------------------------
>
>                 Key: FLINK-6909
>                 URL: https://issues.apache.org/jira/browse/FLINK-6909
>             Project: Flink
>          Issue Type: Wish
>          Components: Type Serialization System
>            Reporter: Md Kamaruzzaman
>            Assignee: Timo Walther
>            Priority: Minor
>
> Project lombok helps greatly to reduce boilerplate Java Code. 
> It seems that Flink does not accept a lombok POJO as a valid pojo. 
> e.g. Here is a POJO defined with lombok:
> @Getter
> @Setter
> @NoArgsConstructor
> public class SimplePojo
> Using this Pojo class to read from CSV file throws this exception:
> Exception in thread "main" java.lang.ClassCastException: 
> org.apache.flink.api.java.typeutils.GenericTypeInfo cannot be cast to 
> org.apache.flink.api.java.typeutils.PojoTypeInfo
> It would be great if flink supports lombok POJO.



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