blob: 98076fd88d0c8b5ab979b29cbd58b7534e35f1bb [file] [log] [blame]
/*
* Copyright 2009-2010 by The Regents of the University of California
* 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 from
*
* 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 edu.uci.ics.pregelix.api.io;
import java.io.IOException;
import java.util.List;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.JobContext;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
/**
* Use this to load data for a BSP application. Note that the InputSplit must
* also implement Writable. The InputSplits will determine the partitioning of
* vertices across the mappers, so keep that in consideration when implementing
* getSplits().
*
* @param <I>
* Vertex id
* @param <V>
* Vertex value
* @param <E>
* Edge value
* @param <M>
* Message data
*/
@SuppressWarnings("rawtypes")
public abstract class VertexInputFormat<I extends WritableComparable, V extends Writable, E extends Writable, M extends Writable> {
/**
* Logically split the vertices for a graph processing application.
* Each {@link InputSplit} is then assigned to a worker for processing.
* <p>
* <i>Note</i>: The split is a <i>logical</i> split of the inputs and the input files are not physically split into chunks. For e.g. a split could be <i>&lt;input-file-path, start, offset&gt;</i> tuple. The InputFormat also creates the {@link VertexReader} to read the {@link InputSplit}. Also, the number of workers is a hint given to the developer to try to intelligently determine how many splits to create (if this is adjustable) at runtime.
*
* @param context
* Context of the job
* @param numWorkers
* Number of workers used for this job
* @return an array of {@link InputSplit}s for the job.
*/
public abstract List<InputSplit> getSplits(JobContext context, int numWorkers) throws IOException,
InterruptedException;
/**
* Create a vertex reader for a given split. The framework will call {@link VertexReader#initialize(InputSplit, TaskAttemptContext)} before
* the split is used.
*
* @param split
* the split to be read
* @param context
* the information about the task
* @return a new record reader
* @throws IOException
* @throws InterruptedException
*/
public abstract VertexReader<I, V, E, M> createVertexReader(InputSplit split, TaskAttemptContext context)
throws IOException;
}