Java tutorial
/* * 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.kylin.engine.mr.steps; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Partitioner; import org.apache.kylin.common.util.BytesUtil; /** */ public class FactDistinctColumnPartitioner extends Partitioner<SelfDefineSortableKey, Text> { @Override public int getPartition(SelfDefineSortableKey skey, Text value, int numReduceTasks) { Text key = skey.getText(); if (key.getBytes()[0] == FactDistinctColumnsMapper.MARK_FOR_HLL) { // the last reducer is for merging hll return numReduceTasks - 1; } else if (key.getBytes()[0] == FactDistinctColumnsMapper.MARK_FOR_PARTITION_COL) { // the last but one reducer is for partition col return numReduceTasks - 2; } else { return BytesUtil.readUnsigned(key.getBytes(), 0, 1); } } }