Github user fhueske commented on a diff in the pull request: https://github.com/apache/flink/pull/1255#discussion_r43951220 --- Diff: flink-java/src/main/java/org/apache/flink/api/java/functions/RangeBoundaryBuilder.java --- @@ -0,0 +1,71 @@ +/* + * 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.java.functions; + +import org.apache.flink.api.common.distributions.CommonRangeBoundaries; +import org.apache.flink.api.common.distributions.RangeBoundaries; +import org.apache.flink.api.common.functions.RichMapPartitionFunction; +import org.apache.flink.api.common.typeutils.TypeComparator; +import org.apache.flink.api.common.typeutils.TypeComparatorFactory; +import org.apache.flink.util.Collector; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.Comparator; +import java.util.List; + +/** + * Build RangeBoundaries with input records. First, sort the input records, and then select + * the boundaries with same interval. + * + * @param <T> + */ +public class RangeBoundaryBuilder<T> extends RichMapPartitionFunction<T, RangeBoundaries<T>> { + + private int parallelism; + private final TypeComparatorFactory<T> comparatorFactory; + + public RangeBoundaryBuilder(TypeComparatorFactory<T> comparator, int parallelism) { + this.comparatorFactory = comparator; + this.parallelism = parallelism; + } + + @Override + public void mapPartition(Iterable<T> values, Collector<RangeBoundaries<T>> out) throws Exception { + final TypeComparator<T> comparator = this.comparatorFactory.createComparator(); + List<T> sampledData = new ArrayList<>(); + for (T value : values) { --- End diff -- We can use `TypeComparator.extractKeys()` to extract only the key fields as `Object[]` from the records. `TypeComparator[] TypeComparator.getFlatComparators()` returns comparators for all fields returned by `extractKeys()`. That way we can reduce the size of the distribution, because only keys are stored.
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