Java tutorial
/* * Copyright 2014 Spotify AB. All rights reserved. * * The contents of this file are licensed 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 com.spotify.hdfs2cass.cassandra.utils; import org.apache.avro.mapred.AvroKey; import org.apache.avro.mapred.AvroValue; import org.apache.cassandra.dht.*; import org.apache.cassandra.thrift.Mutation; import org.apache.commons.lang.StringUtils; import org.apache.hadoop.conf.Configurable; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.mapreduce.Partitioner; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import java.io.Serializable; import java.math.BigInteger; import java.nio.ByteBuffer; import java.util.ArrayList; import java.util.Arrays; import java.util.List; import java.util.Random; /** * Uses the cassandra topology to send a key to a particular set of reducers */ public class CassandraPartitioner extends Partitioner<AvroKey<ByteBuffer>, AvroValue<Mutation>> implements Configurable, Serializable { private static final Logger logger = LoggerFactory.getLogger(CassandraPartitioner.class); private static final BigInteger MURMUR3_SCALE = BigInteger.valueOf(Murmur3Partitioner.MINIMUM.token).abs(); private AbstractPartitioner partitioner; private BigInteger rangePerReducer; private List<Integer> reducers; private boolean distributeRandomly; private Random random; private Configuration conf; public CassandraPartitioner() { } @Override public int getPartition(AvroKey<ByteBuffer> key, AvroValue<Mutation> value, int numReducers) { if (distributeRandomly) { return reducers.get(random.nextInt(reducers.size())); } final Token token = partitioner.getToken(key.datum()); BigInteger bigIntToken; if (token instanceof BigIntegerToken) { bigIntToken = ((BigIntegerToken) token).token.abs(); } else if (token instanceof LongToken) { bigIntToken = BigInteger.valueOf(((LongToken) token).token).add(MURMUR3_SCALE); } else { throw new RuntimeException( "Invalid partitioner Token type. Only BigIntegerToken and LongToken supported"); } return reducers.get(bigIntToken.divide(rangePerReducer).intValue()); } @Override public void setConf(Configuration conf) { this.conf = conf; final String partitionerParam = conf.get(CassandraParams.SCRUB_CASSANDRACLUSTER_PARTITIONER_CONFIG); logger.info(CassandraParams.SCRUB_CASSANDRACLUSTER_PARTITIONER_CONFIG + ": " + partitionerParam); if (partitionerParam == null) { throw new RuntimeException("Didn't get any cassandra partitioner information"); } try { partitioner = (AbstractPartitioner) Class.forName(partitionerParam).newInstance(); } catch (Exception ex) { throw new RuntimeException("Invalid partitioner class name: " + partitionerParam); } final String rangePerReducerStr = conf.get(CassandraParams.SCRUB_CASSANDRACLUSTER_RANGE_PER_REDUCER_CONFIG); if (rangePerReducerStr == null) { throw new RuntimeException("Didn't get cassandra range per reducer"); } rangePerReducer = new BigInteger(rangePerReducerStr); final String reducersStr = conf.get(CassandraParams.SCRUB_CASSANDRACLUSTER_REDUCERS_CONFIG); if (reducersStr == null) { throw new RuntimeException("Failed to get list of reducers"); } final String[] parts = StringUtils.splitByWholeSeparatorPreserveAllTokens(reducersStr, ","); if ((parts == null) || (parts.length == 0)) { throw new RuntimeException("Didn't get any valid list of reducers"); } reducers = new ArrayList<>(parts.length); for (String part : parts) { reducers.add(Integer.parseInt(part)); } distributeRandomly = conf.getBoolean(CassandraParams.SCRUB_CASSANDRACLUSTER_DISTRIBUTE_RANDOMLY_CONFIG, false); if (distributeRandomly) { random = new Random(); } logger.info("CP: range per reducer: {}, reducers: {}, distribute randomly: {}", new Object[] { rangePerReducerStr, Arrays.toString(reducers.toArray()), distributeRandomly }); } @Override public Configuration getConf() { return conf; } }