org.apache.kylin.engine.mr.streaming.ColumnToRowReducer Maven / Gradle / Ivy
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package org.apache.kylin.engine.mr.streaming;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.util.Iterator;
import java.util.List;
import java.util.Locale;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.io.Text;
import org.apache.kylin.common.KylinConfig;
import org.apache.kylin.cube.CubeInstance;
import org.apache.kylin.cube.CubeManager;
import org.apache.kylin.cube.model.CubeDesc;
import org.apache.kylin.engine.mr.KylinReducer;
import org.apache.kylin.engine.mr.common.AbstractHadoopJob;
import org.apache.kylin.engine.mr.common.BatchConstants;
import org.apache.kylin.measure.BufferedMeasureCodec;
import org.apache.kylin.measure.MeasureAggregators;
import org.apache.kylin.metadata.model.MeasureDesc;
public class ColumnToRowReducer extends KylinReducer {
private String cubeName;
private CubeDesc cubeDesc;
private CubeInstance cube;
private List measures;
@Override
protected void doSetup(Context context) throws IOException, InterruptedException {
super.doSetup(context);
Configuration conf = context.getConfiguration();
cubeName = conf.get(BatchConstants.CFG_CUBE_NAME);
if (cubeName == null) {
throw new IllegalArgumentException("Can not find cube. ");
}
KylinConfig config = AbstractHadoopJob.loadKylinPropsAndMetadata();
cube = CubeManager.getInstance(config).getCube(cubeName.toUpperCase(Locale.ROOT));
cubeDesc = cube.getDescriptor();
// cubeSegment = cube.getSegment(segmentName, SegmentStatusEnum.NEW);
measures = cubeDesc.getMeasures();
}
@Override
protected void doReduce(Text key, Iterable values, Context context) throws IOException, InterruptedException {
// super.reduce(key, values, context);
context.write(key, mergeRecord(values));
}
private Text mergeRecord(Iterable values) {
Object[] aggResult = new Object[measures.size()];
Iterator iterator = values.iterator();
BufferedMeasureCodec codec = new BufferedMeasureCodec(measures);
MeasureAggregators aggregators = new MeasureAggregators(measures);
Object[] metrics = new Object[measures.size()];
while (iterator.hasNext()) {
byte[] bytes = iterator.next().getBytes();
codec.decode(ByteBuffer.wrap(bytes), metrics);
aggregators.aggregate(metrics);
}
aggregators.collectStates(aggResult);
ByteBuffer valueBuffer = codec.encode(aggResult);
Text result = new Text();
result.set(valueBuffer.array(), 0, valueBuffer.position());
return result;
}
}
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