[
https://issues.apache.org/jira/browse/FLINK-1398?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14543875#comment-14543875
]
ASF GitHub Bot commented on FLINK-1398:
---------------------------------------
Github user aljoscha commented on the pull request:
https://github.com/apache/flink/pull/308#issuecomment-102077233
I think the consensus was that we don't want to have such a method in the
DataSet API. We can, however, put a utility for this in flink-contrib. This
utility should work for both batch and streaming? Any other opinions? Please
correct me if I'm wrong.
> A new DataSet function: extractElementFromTuple
> -----------------------------------------------
>
> Key: FLINK-1398
> URL: https://issues.apache.org/jira/browse/FLINK-1398
> Project: Flink
> Issue Type: Wish
> Reporter: Felix Neutatz
> Assignee: Felix Neutatz
> Priority: Minor
>
> This is the use case:
> {code:xml}
> DataSet<Tuple2<Integer, Double>> data = env.fromElements(new
> Tuple2<Integer, Double>(1,2.0));
>
> data.map(new ElementFromTuple());
>
> }
> public static final class ElementFromTuple implements
> MapFunction<Tuple2<Integer, Double>, Double> {
> @Override
> public Double map(Tuple2<Integer, Double> value) {
> return value.f1;
> }
> }
> {code}
> It would be awesome if we had something like this:
> {code:xml}
> data.extractElement(1);
> {code}
> This means that we implement a function for DataSet which extracts a certain
> element from a given Tuple.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
