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https://issues.apache.org/jira/browse/FLINK-2435?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16439351#comment-16439351
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ASF GitHub Bot commented on FLINK-2435:
---------------------------------------
Github user fhueske commented on the issue:
https://github.com/apache/flink/pull/5835
Thanks for opening this PR @DmitryKober!
I had a quick look over the changes and there are a few things that can be
fixed such as:
- reverting all unnecessary changes such as changing import order or white
space changes
- merging all commits into a single commit
- check if the changes to `TupleTypeInfo` are required
- check if we can add this feature without adding a dependency to
`flink-java`
You can update the PR by force pushing into your Github branch.
Thanks, Fabian
> Add support for custom CSV field parsers
> ----------------------------------------
>
> Key: FLINK-2435
> URL: https://issues.apache.org/jira/browse/FLINK-2435
> Project: Flink
> Issue Type: New Feature
> Components: DataSet API
> Affects Versions: 0.10.0
> Reporter: Fabian Hueske
> Assignee: Dmitrii Kober
> Priority: Minor
> Fix For: 1.0.0
>
>
> The {{CSVInputFormats}} have only {{FieldParsers}} for Java's primitive types
> (byte, short, int, long, float, double, boolean, String).
> It would be good to add support for CSV field parsers for custom data types
> which can be registered in a {{CSVReader}}.
> We could offer two interfaces for field parsers.
> 1. The regular low-level {{FieldParser}} which operates on a byte array and
> offsets.
> 2. A {{StringFieldParser}} which operates on a String that has been extracted
> by a {{StringParser}} before. This interface will be easier to implement but
> less efficient.
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