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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.ignite.internal.processors.hadoop.impl.v2;
import java.io.DataInput;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import org.apache.hadoop.mapreduce.InputFormat;
import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.JobContext;
import org.apache.hadoop.mapreduce.lib.input.FileSplit;
import org.apache.hadoop.util.ReflectionUtils;
import org.apache.ignite.IgniteCheckedException;
import org.apache.ignite.hadoop.HadoopInputSplit;
import org.apache.ignite.internal.IgniteInterruptedCheckedException;
import org.apache.ignite.internal.processors.hadoop.HadoopFileBlock;
import org.apache.ignite.internal.processors.hadoop.impl.HadoopUtils;
import org.jetbrains.annotations.Nullable;
/**
* Hadoop API v2 splitter.
*/
public class HadoopV2Splitter {
/** */
private static final String[] EMPTY_HOSTS = {};
/**
* @param ctx Job context.
* @return Collection of mapped splits.
* @throws IgniteCheckedException If mapping failed.
*/
public static Collection<HadoopInputSplit> splitJob(JobContext ctx) throws IgniteCheckedException {
try {
InputFormat<?, ?> format = ReflectionUtils.newInstance(ctx.getInputFormatClass(), ctx.getConfiguration());
assert format != null;
List<InputSplit> splits = format.getSplits(ctx);
Collection<HadoopInputSplit> res = new ArrayList<>(splits.size());
int id = 0;
for (InputSplit nativeSplit : splits) {
if (nativeSplit instanceof FileSplit) {
FileSplit s = (FileSplit)nativeSplit;
res.add(new HadoopFileBlock(s.getLocations(), s.getPath().toUri(), s.getStart(), s.getLength()));
}
else
res.add(HadoopUtils.wrapSplit(id, nativeSplit, nativeSplit.getLocations()));
id++;
}
return res;
}
catch (IOException | ClassNotFoundException e) {
throw new IgniteCheckedException(e);
}
catch (InterruptedException e) {
Thread.currentThread().interrupt();
throw new IgniteInterruptedCheckedException(e);
}
}
/**
* @param clsName Input split class name.
* @param in Input stream.
* @param hosts Optional hosts.
* @return File block or {@code null} if it is not a {@link FileSplit} instance.
* @throws IgniteCheckedException If failed.
*/
public static HadoopFileBlock readFileBlock(String clsName, DataInput in, @Nullable String[] hosts)
throws IgniteCheckedException {
if (!FileSplit.class.getName().equals(clsName))
return null;
FileSplit split = new FileSplit();
try {
split.readFields(in);
}
catch (IOException e) {
throw new IgniteCheckedException(e);
}
if (hosts == null)
hosts = EMPTY_HOSTS;
return new HadoopFileBlock(hosts, split.getPath().toUri(), split.getStart(), split.getLength());
}
}