org.apache.kylin.engine.mr.steps.InMemCuboidReducer Maven / Gradle / Ivy
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package org.apache.kylin.engine.mr.steps;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.util.List;
import java.util.Locale;
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.ByteArrayWritable;
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;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
*/
public class InMemCuboidReducer extends KylinReducer {
private static final Logger logger = LoggerFactory.getLogger(InMemCuboidReducer.class);
private BufferedMeasureCodec codec;
private MeasureAggregators aggs;
private Object[] input;
private Object[] result;
private int vcounter;
private Text outputKey;
private Text outputValue;
@Override
protected void doSetup(Context context) throws IOException {
super.bindCurrentConfiguration(context.getConfiguration());
KylinConfig config = AbstractHadoopJob.loadKylinPropsAndMetadata();
String cubeName = context.getConfiguration().get(BatchConstants.CFG_CUBE_NAME).toUpperCase(Locale.ROOT);
CubeInstance cube = CubeManager.getInstance(config).getCube(cubeName);
CubeDesc cubeDesc = cube.getDescriptor();
List measuresDescs = cubeDesc.getMeasures();
codec = new BufferedMeasureCodec(measuresDescs);
aggs = new MeasureAggregators(measuresDescs);
input = new Object[measuresDescs.size()];
result = new Object[measuresDescs.size()];
outputKey = new Text();
outputValue = new Text();
}
@Override
public void doReduce(ByteArrayWritable key, Iterable values, Context context) throws IOException, InterruptedException {
aggs.reset();
for (ByteArrayWritable value : values) {
if (vcounter++ % BatchConstants.NORMAL_RECORD_LOG_THRESHOLD == 0) {
logger.info("Handling value with ordinal (This is not KV number!): " + vcounter);
}
codec.decode(value.asBuffer(), input);
aggs.aggregate(input);
}
aggs.collectStates(result);
// output key
outputKey.set(key.array(), key.offset(), key.length());
// output value
ByteBuffer valueBuf = codec.encode(result);
outputValue.set(valueBuf.array(), 0, valueBuf.position());
context.write(outputKey, outputValue);
}
}
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