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.conf.Configurable; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Partitioner; import org.apache.kylin.common.util.Bytes; import org.apache.kylin.engine.mr.common.BatchConstants; import org.slf4j.Logger; import org.slf4j.LoggerFactory; /** */ public class CalculateStatsFromBaseCuboidPartitioner extends Partitioner<Text, Text> implements Configurable { private static final Logger logger = LoggerFactory.getLogger(CalculateStatsFromBaseCuboidPartitioner.class); private Configuration conf; private int hllShardBase = 1; @Override public int getPartition(Text key, Text value, int numReduceTasks) { Long cuboidId = Bytes.toLong(key.getBytes()); int shard = cuboidId.hashCode() % hllShardBase; if (shard < 0) { shard += hllShardBase; } return numReduceTasks - shard - 1; } @Override public void setConf(Configuration conf) { this.conf = conf; hllShardBase = conf.getInt(BatchConstants.CFG_HLL_REDUCER_NUM, 1); logger.info("shard base for hll is " + hllShardBase); } @Override public Configuration getConf() { return conf; } }