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https://issues.apache.org/jira/browse/FLINK-2261?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14603450#comment-14603450
]
ASF GitHub Bot commented on FLINK-2261:
---------------------------------------
Github user gyfora commented on a diff in the pull request:
https://github.com/apache/flink/pull/860#discussion_r33386546
--- Diff:
flink-staging/flink-streaming/flink-streaming-core/src/test/java/org/apache/flink/streaming/api/operators/StreamFoldTest.java
---
@@ -1,57 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one or more
- * contributor license agreements. See the NOTICE file distributed with
- * this work for additional information regarding copyright ownership.
- * The ASF licenses this file to You under the Apache License, Version 2.0
- * (the "License"); you may not use this file except in compliance with
- * the License. You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package org.apache.flink.streaming.api.operators;
-
-import static org.junit.Assert.assertEquals;
-
-import java.util.Arrays;
-import java.util.List;
-
-import org.apache.flink.api.common.functions.FoldFunction;
-import org.apache.flink.api.common.typeinfo.TypeInformation;
-import org.apache.flink.api.java.typeutils.TypeExtractor;
-import org.apache.flink.streaming.api.operators.StreamFold;
-import org.apache.flink.streaming.util.MockContext;
-import org.junit.Test;
-
-public class StreamFoldTest {
-
- private static class MyFolder implements FoldFunction<Integer, String> {
-
- private static final long serialVersionUID = 1L;
-
- @Override
- public String fold(String accumulator, Integer value) throws
Exception {
- return accumulator + value.toString();
--- End diff --
So I would instead add a JIRA to handle the GroupReduce transformations in
a stateful way. This can should be thought through for the windowing case.
> Remove reduce/aggregation from DataStream
> -----------------------------------------
>
> Key: FLINK-2261
> URL: https://issues.apache.org/jira/browse/FLINK-2261
> Project: Flink
> Issue Type: Improvement
> Components: Java API, Scala API, Streaming
> Affects Versions: 0.10
> Reporter: Gyula Fora
> Assignee: Gyula Fora
>
> Currently we have reduce and aggregation methods for non-grouped DataStreams
> as well, which will produce local aggregates depending on the parallelism of
> the operator.
> This behaviour is neither intuitive nor useful as it only produces sensible
> results if the user specifically sets the parallelism to 1 which should not
> be encouraged.
> I would like to remove these methods from the DataStream api and only keep it
> for GroupedDataStreams and WindowedDataStream where the aggregation is either
> executed per-key or per-window.
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