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https://issues.apache.org/jira/browse/FLINK-1271?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14269137#comment-14269137
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ASF GitHub Bot commented on FLINK-1271:
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Github user rmetzger commented on the pull request:
https://github.com/apache/flink/pull/287#issuecomment-69160636
1) Should be possible right? Our system supports all types. So I would do
it.
2) You probably don't need a full word count for testing the instantiation
and type extraction.
3) In the flink-java-examples? I'm not so sure about that because it adds a
lot of new dependencies to the project. If you want you can write a blog post
about using Parquet with Flink.
> Extend HadoopOutputFormat and HadoopInputFormat to handle Void.class
> ---------------------------------------------------------------------
>
> Key: FLINK-1271
> URL: https://issues.apache.org/jira/browse/FLINK-1271
> Project: Flink
> Issue Type: Wish
> Components: Hadoop Compatibility
> Reporter: Felix Neutatz
> Assignee: Felix Neutatz
> Priority: Minor
> Labels: Columnstore, HadoopInputFormat, HadoopOutputFormat,
> Parquet
> Fix For: 0.8
>
>
> Parquet, one of the most famous and efficient column store formats in Hadoop
> uses Void.class as Key!
> At the moment there are only keys allowed which extend Writable.
> For example, we would need to be able to do something like:
> HadoopInputFormat hadoopInputFormat = new HadoopInputFormat(new
> ParquetThriftInputFormat(), Void.class, AminoAcid.class, job);
> ParquetThriftInputFormat.addInputPath(job, new Path("newpath"));
> ParquetThriftInputFormat.setReadSupportClass(job, AminoAcid.class);
> // Create a Flink job with it
> DataSet<Tuple2<Void, AminoAcid>> data = env.createInput(hadoopInputFormat);
> Where AminoAcid is a generated Thrift class in this case.
> However, I figured out how to output Parquet files with Parquet by creating a
> class which extends HadoopOutputFormat.
> Now we will have to discuss, what's the best approach to make the Parquet
> integration happen
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