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https://issues.apache.org/jira/browse/FLINK-2435?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16633713#comment-16633713
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ASF GitHub Bot commented on FLINK-2435:
---------------------------------------
ex00 commented on a change in pull request #5862: [FLINK-2435] User-defined
types in CsvReader
URL: https://github.com/apache/flink/pull/5862#discussion_r221250089
##########
File path:
flink-java/src/test/java/org/apache/flink/api/java/tuple/TupleGenerator.java
##########
@@ -473,7 +534,7 @@ private static void appendTupleTypeGenerics(StringBuilder
sb, int numFields) {
}
private static final String HEADER =
- "/*\n"
+ "/*\n"
Review comment:
please revert this change
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> 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
> Labels: pull-request-available
>
> 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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