org.apache.mahout.math.hadoop.stochasticsvd.SplitPartitionedWritable Maven / Gradle / Ivy
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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.mahout.math.hadoop.stochasticsvd;
import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.io.Serializable;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.io.WritableComparator;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.mahout.math.Varint;
/**
* a key for vectors allowing to identify them by their coordinates in original
* split of A.
*
* We assume all passes over A results in the same splits, thus, we can always
* prepare side files that come into contact with A, sp that they are sorted and
* partitioned same way.
*
*
* Hashcode is defined the way that all records of the same split go to the same
* reducer.
*
*
* In addition, we are defining a grouping comparator allowing group one split
* into the same reducer group.
*
*
*/
public class SplitPartitionedWritable implements
WritableComparable {
private int taskId;
private long taskItemOrdinal;
public SplitPartitionedWritable(Mapper, ?, ?, ?>.Context mapperContext) {
// this is basically a split # if i understand it right
taskId = mapperContext.getTaskAttemptID().getTaskID().getId();
}
public SplitPartitionedWritable() {
}
public int getTaskId() {
return taskId;
}
public long getTaskItemOrdinal() {
return taskItemOrdinal;
}
public void incrementItemOrdinal() {
taskItemOrdinal++;
}
public void setTaskItemOrdinal(long taskItemOrdinal) {
this.taskItemOrdinal = taskItemOrdinal;
}
@Override
public void readFields(DataInput in) throws IOException {
taskId = Varint.readUnsignedVarInt(in);
taskItemOrdinal = Varint.readUnsignedVarLong(in);
}
@Override
public void write(DataOutput out) throws IOException {
Varint.writeUnsignedVarInt(taskId, out);
Varint.writeUnsignedVarLong(taskItemOrdinal, out);
}
@Override
public int hashCode() {
int prime = 31;
int result = 1;
result = prime * result + taskId;
return result;
}
@Override
public boolean equals(Object obj) {
if (this == obj) {
return true;
}
if (obj == null) {
return false;
}
if (getClass() != obj.getClass()) {
return false;
}
SplitPartitionedWritable other = (SplitPartitionedWritable) obj;
return taskId == other.taskId;
}
@Override
public int compareTo(SplitPartitionedWritable o) {
if (taskId < o.taskId) {
return -1;
}
if (taskId > o.taskId) {
return 1;
}
if (taskItemOrdinal < o.taskItemOrdinal) {
return -1;
}
if (taskItemOrdinal > o.taskItemOrdinal) {
return 1;
}
return 0;
}
public static final class SplitGroupingComparator extends WritableComparator implements Serializable {
public SplitGroupingComparator() {
super(SplitPartitionedWritable.class, true);
}
@Override
public int compare(Object a, Object b) {
SplitPartitionedWritable o1 = (SplitPartitionedWritable) a;
SplitPartitionedWritable o2 = (SplitPartitionedWritable) b;
if (o1.taskId < o2.taskId) {
return -1;
}
if (o1.taskId > o2.taskId) {
return 1;
}
return 0;
}
}
}