/*
* 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 cosmos.mapred;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.nio.charset.CharacterCodingException;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
/**
* This class aggregates Text values based on a start and end filter. An example use case for this would be XML data. This will not work with data that has
* nested start and stop tokens.
*
*/
public class AggregatingRecordReader extends LongLineRecordReader {
private LongWritable key = new LongWritable();
private String startToken = null;
private String endToken = null;
private long counter = 0;
private Text aggValue = new Text();
private boolean startFound = false;
private StringBuilder remainder = new StringBuilder(4096);
private boolean returnPartialMatches = false;
@Override
public LongWritable getCurrentKey() {
key.set(counter);
return key;
}
@Override
public Text getCurrentValue() {
return aggValue;
}
@Override
public void initialize(InputSplit genericSplit, TaskAttemptContext context) throws IOException {
super.initialize(genericSplit, context);
this.startToken = "<page>";
this.endToken = "</page>";
/*
* Text-appending works almost exactly like the + operator on Strings- it creates a byte array exactly the size of [prefix + suffix] and dumps the bytes
* into the new array. This module works by doing lots of little additions, one line at a time. With most XML, the documents are partitioned on line
* boundaries, so we will generally have lots of additions. Setting a large default byte array for a text object can avoid this and give us
* StringBuilder-like functionality for Text objects.
*/
byte[] txtBuffer = new byte[4096];
aggValue.set(txtBuffer);
}
@Override
public boolean nextKeyValue() throws IOException {
aggValue.clear();
boolean hasNext = false;
boolean finished = false;
// Find the start token
while (!finished && (((hasNext = super.nextKeyValue()) == true) || remainder.length() > 0)) {
if (hasNext)
finished = process(super.getCurrentValue());
else
finished = process(null);
if (finished) {
startFound = false;
counter++;
return true;
}
}
boolean endFound = false;
// We found a start tag but no end tag
if (aggValue.getLength() > 0 && startFound) {
final Text buf = new Text();
while (!endFound && in.readLine(buf) > 0) {
if (process(buf)) {
endFound = true;
}
}
}
if (endFound) {
startFound = false;
counter++;
return true;
}
return false;
}
/**
* Populates aggValue with the contents of the Text object.
*
* @param t
* @return true if aggValue is complete, else false and needs more data.
*/
private boolean process(Text t) throws IOException {
if (null != t) {
remainder.append(t.toString());
}
while (remainder.length() > 0) {
if (!startFound) {
// If found, then begin aggregating at the start offset
int start = remainder.indexOf(startToken);
if (-1 != start) {
// Append the start token to the aggregate value
textAppend(aggValue, remainder.substring(start, start + startToken.length()));
// Remove to the end of the start token from the remainder
remainder.delete(0, start + startToken.length());
startFound = true;
} else {
// If we are looking for the start and have not found it, then remove
// the bytes
remainder.delete(0, remainder.length());
}
} else {
// Try to find the end
int end = remainder.indexOf(endToken);
// Also try to find the start
int start = remainder.indexOf(startToken);
if (-1 == end) {
if (returnPartialMatches && start >= 0) {
// End token not found, but another start token was found...
// The amount to copy is up to the beginning of the next start token
textAppend(aggValue, remainder.substring(0, start));
remainder.delete(0, start);
return true;
} else {
// Not found, aggregate the entire remainder
textAppend(aggValue, remainder.toString());
// Delete all chars from remainder
remainder.delete(0, remainder.length());
}
} else {
if (returnPartialMatches && start >= 0 && start < end) {
// We found the end token, but found another start token first, so
// deal with that.
textAppend(aggValue, remainder.substring(0, start));
remainder.delete(0, start);
return true;
} else {
// END_TOKEN was found. Extract to the end of END_TOKEN
textAppend(aggValue, remainder.substring(0, end + endToken.length()));
// Remove from remainder up to the end of END_TOKEN
remainder.delete(0, end + endToken.length());
return true;
}
}
}
}
return false;
}
private void textAppend(Text t, String s) throws IOException {
try {
ByteBuffer buf = Text.encode(s, false);
t.append(buf.array(), 0, buf.limit());
} catch (CharacterCodingException e) {
throw new IOException(e);
}
}
}