org.apache.flink.hadoopcompatibility.mapreduce.wrapper.HadoopInputSplit.java Source code

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Here is the source code for org.apache.flink.hadoopcompatibility.mapreduce.wrapper.HadoopInputSplit.java

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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.flink.hadoopcompatibility.mapreduce.wrapper;

import java.io.IOException;

import org.apache.flink.core.io.InputSplit;
import org.apache.flink.core.memory.DataInputView;
import org.apache.flink.core.memory.DataOutputView;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.io.WritableFactories;
import org.apache.hadoop.mapreduce.JobContext;

public class HadoopInputSplit implements InputSplit {

    public transient org.apache.hadoop.mapreduce.InputSplit mapreduceInputSplit;
    public transient JobContext jobContext;

    private int splitNumber;

    public org.apache.hadoop.mapreduce.InputSplit getHadoopInputSplit() {
        return mapreduceInputSplit;
    }

    public HadoopInputSplit() {
        super();
    }

    public HadoopInputSplit(org.apache.hadoop.mapreduce.InputSplit mapreduceInputSplit, JobContext jobContext) {
        if (!(mapreduceInputSplit instanceof Writable)) {
            throw new IllegalArgumentException("InputSplit must implement Writable interface.");
        }
        this.mapreduceInputSplit = mapreduceInputSplit;
        this.jobContext = jobContext;
    }

    @Override
    public void write(DataOutputView out) throws IOException {
        out.writeInt(this.splitNumber);
        out.writeUTF(this.mapreduceInputSplit.getClass().getName());
        Writable w = (Writable) this.mapreduceInputSplit;
        w.write(out);
    }

    @Override
    public void read(DataInputView in) throws IOException {
        this.splitNumber = in.readInt();
        String className = in.readUTF();

        if (this.mapreduceInputSplit == null) {
            try {
                Class<? extends org.apache.hadoop.io.Writable> inputSplit = Class.forName(className)
                        .asSubclass(org.apache.hadoop.io.Writable.class);
                this.mapreduceInputSplit = (org.apache.hadoop.mapreduce.InputSplit) WritableFactories
                        .newInstance(inputSplit);
            } catch (Exception e) {
                throw new RuntimeException("Unable to create InputSplit", e);
            }
        }
        ((Writable) this.mapreduceInputSplit).readFields(in);
    }

    @Override
    public int getSplitNumber() {
        return this.splitNumber;
    }

    public void setSplitNumber(int splitNumber) {
        this.splitNumber = splitNumber;
    }
}