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* 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,
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* KIND, either express or implied. See the License for the
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package org.apache.hyracks.dataflow.hadoop.util;
import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.DataInputStream;
import java.io.DataOutputStream;
import java.io.IOException;
import java.io.Serializable;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapred.InputSplit;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.util.ReflectionUtils;
public class InputSplitsProxy implements Serializable {
private static final long serialVersionUID = 1L;
private final Class[] isClasses;
private final byte[] bytes;
public InputSplitsProxy(JobConf conf, Object[] inputSplits) throws IOException {
isClasses = new Class[inputSplits.length];
ByteArrayOutputStream baos = new ByteArrayOutputStream();
DataOutputStream dos = new DataOutputStream(baos);
if (conf.getUseNewMapper()) {
for (int i = 0; i < inputSplits.length; ++i) {
isClasses[i] = ((org.apache.hadoop.mapreduce.InputSplit) inputSplits[i]).getClass();
((Writable) inputSplits[i]).write(dos);
}
} else {
for (int i = 0; i < inputSplits.length; ++i) {
isClasses[i] = ((org.apache.hadoop.mapred.InputSplit) inputSplits[i]).getClass();
((Writable) inputSplits[i]).write(dos);
}
}
dos.close();
bytes = baos.toByteArray();
}
public Object[] toInputSplits(JobConf jobConf) throws InstantiationException, IllegalAccessException, IOException {
Object[] splits = new Object[isClasses.length];
DataInputStream dis = new DataInputStream(new ByteArrayInputStream(bytes));
for (int i = 0; i < splits.length; ++i) {
splits[i] = ReflectionUtils.newInstance(isClasses[i], jobConf);
if (jobConf.getUseNewMapper()) {
((Writable) splits[i]).readFields(dis);
} else {
((Writable) splits[i]).readFields(dis);
}
}
return splits;
}
}
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