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https://issues.apache.org/jira/browse/FLINK-2435?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16441175#comment-16441175
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ASF GitHub Bot commented on FLINK-2435:
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GitHub user DmitryKober opened a pull request:
https://github.com/apache/flink/pull/5862
[FLINK-2435] User-defined types in CsvReader
[FLINK-2435] Provides the capability of specifying user-defined types in
Tuple and Row 'containers' while reading from a csv file
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/DmitryKober/flink feature/flink-2435
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/5862.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 #5862
----
commit 08d76d493c332f624ffae2f1794542968ce47a62
Author: Dmitrii_Kober <dmitrii_kober@...>
Date: 2018-04-17T16:47:50Z
[FLINK-2435] Provide the capability of specifying user-defined types in
Tuple and Row 'containers' while reading from a csv file
----
> 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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