org.apache.kylin.engine.mr.streaming.ColumnarSplitDataReader Maven / Gradle / Ivy
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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
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* Unless required by applicable law or agreed to in writing, software
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package org.apache.kylin.engine.mr.streaming;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.util.concurrent.atomic.AtomicInteger;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.lib.input.FileSplit;
import org.apache.kylin.cube.cuboid.Cuboid;
import org.apache.kylin.cube.kv.AbstractRowKeyEncoder;
import org.apache.kylin.measure.BufferedMeasureCodec;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
public class ColumnarSplitDataReader extends ColumnarSplitReader {
private static final Logger logger = LoggerFactory.getLogger(ColumnarSplitDataReader.class);
private Cuboid baseCuboid;
private AbstractRowKeyEncoder rowKeyEncoder;
private ByteBuffer metricsValuesBuffer;
private Text currentKey;
private Text currentValue;
private AtomicInteger rowCount;
private RowRecordReader rowRecordReader;
public ColumnarSplitDataReader(InputSplit inputSplit, TaskAttemptContext context) throws IOException,
InterruptedException {
super(inputSplit, context);
init(inputSplit, context);
}
public void init(InputSplit split, TaskAttemptContext context) throws IOException, InterruptedException {
baseCuboid = Cuboid.getBaseCuboid(cubeDesc);
rowKeyEncoder = AbstractRowKeyEncoder.createInstance(cubeSegment, baseCuboid);
FileSystem fs = FileSystem.get(context.getConfiguration());
FileSplit fSplit = (FileSplit) split;
Path path = fSplit.getPath();
rowRecordReader = new RowRecordReader(cubeDesc, path, fs);
metricsValuesBuffer = ByteBuffer.allocate(BufferedMeasureCodec.DEFAULT_BUFFER_SIZE);
rowCount = new AtomicInteger(0);
}
@Override
public boolean nextKeyValue() throws IOException, InterruptedException {
if (rowRecordReader.hasNextRow()) {
rowCount.getAndIncrement();
RowRecord rowRecord = rowRecordReader.nextRow();
String[] dimensionsValues = rowRecord.getDimensions();
byte[] key = rowKeyEncoder.encode(dimensionsValues);
currentKey = new Text();
currentKey.set(key, 0, key.length);
byte[][] metricsValues = rowRecord.getMetrics();
currentValue = new Text();
metricsValuesBuffer.clear();
for (int i = 0; i < metricsValues.length; i++) {
metricsValuesBuffer.put(metricsValues[i], 0, metricsValues[i].length);
}
currentValue.set(metricsValuesBuffer.array(), 0, metricsValuesBuffer.position());
return true;
}
return false;
}
@Override
public Text getCurrentValue() throws IOException, InterruptedException {
return currentValue;
}
@Override
public float getProgress() throws IOException, InterruptedException {
return -1;
}
@Override
public Text getCurrentKey() throws IOException, InterruptedException {
return currentKey;
}
@Override
public void close() throws IOException {
rowRecordReader.close();
}
}
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