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https://issues.apache.org/jira/browse/FLINK-2435?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14651772#comment-14651772
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Fabian Hueske commented on FLINK-2435:
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I would propose to implement an abstract class that extends `FieldParser` and
internally calls the `StringParser` to parse the value as a String and hands
the String to the custom String-parse logic.
That way, we don't need any special code to distinguish these parsers from
parsers that directly parse bytes.
> 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: Java API, Scala API
> Affects Versions: 0.10
> Reporter: Fabian Hueske
>
> 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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