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/*
 * 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.runtime.operators.udf;

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.TypeComparatorFactory;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.util.Collector;

import java.util.List;

/**
 * This mapPartition function require a DataSet with RangeBoundaries as broadcast input, it
 * generate Tuple2 which includes range index and record itself as output.
 *
 * @param  The original data type.
 */
public class AssignRangeIndex extends RichMapPartitionFunction> {

	private TypeComparatorFactory typeComparator;

	public AssignRangeIndex(TypeComparatorFactory typeComparator) {
		this.typeComparator = typeComparator;
	}

	@Override
	public void mapPartition(Iterable values, Collector> out) throws Exception {

		List