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ASF GitHub Bot commented on FLINK-1237: --------------------------------------- Github user fhueske commented on a diff in the pull request: https://github.com/apache/incubator-flink/pull/207#discussion_r20421929 --- Diff: flink-core/src/main/java/org/apache/flink/api/common/functions/Partitioner.java --- @@ -0,0 +1,36 @@ +/* + * 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.api.common.functions; + +/** + * Function to implement a custom partition assignment for keys. + * + * @param <K> The type of the key to be partitioned. + */ +public interface Partitioner<K> extends java.io.Serializable { --- End diff -- Does it make sense to add another method ``getMaxNumPartititions()`` to check at plan construction time if the the DOP is high enough for the partitioner? Otherwise the program will fail at runtime, if I'm not mistaken. > Add custom partitioners for shuffle steps > ----------------------------------------- > > Key: FLINK-1237 > URL: https://issues.apache.org/jira/browse/FLINK-1237 > Project: Flink > Issue Type: Improvement > Reporter: Till Rohrmann > Assignee: Stephan Ewen > > It would be helpful to be able to specify a custom partitioner for shuffle > steps. This would users allow to control how their data is distributed across > the cluster. Especially in situations where the number of data records is > equal to the number of slots it might be a possibility to avoid skewed data > distributions due to the default hashing function. -- This message was sent by Atlassian JIRA (v6.3.4#6332)