org.apache.kylin.engine.mr.steps.FactDistinctColumnPartitioner Maven / Gradle / Ivy
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package org.apache.kylin.engine.mr.steps;
import java.io.IOException;
import org.apache.hadoop.conf.Configurable;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Partitioner;
import org.apache.kylin.common.KylinConfig;
import org.apache.kylin.common.util.Bytes;
import org.apache.kylin.common.util.BytesUtil;
import org.apache.kylin.cube.CubeInstance;
import org.apache.kylin.cube.CubeManager;
import org.apache.kylin.engine.mr.common.AbstractHadoopJob;
import org.apache.kylin.engine.mr.common.BatchConstants;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
*/
public class FactDistinctColumnPartitioner extends Partitioner implements Configurable {
private static final Logger logger = LoggerFactory.getLogger(FactDistinctColumnPartitioner.class);
private Configuration conf;
private FactDistinctColumnsReducerMapping reducerMapping;
@Override
public void setConf(Configuration conf) {
this.conf = conf;
KylinConfig config;
try {
config = AbstractHadoopJob.loadKylinPropsAndMetadata();
} catch (IOException e) {
throw new RuntimeException(e);
}
String cubeName = conf.get(BatchConstants.CFG_CUBE_NAME);
CubeInstance cube = CubeManager.getInstance(config).getCube(cubeName);
reducerMapping = new FactDistinctColumnsReducerMapping(cube);
}
@Override
public int getPartition(SelfDefineSortableKey skey, Text value, int numReduceTasks) {
Text key = skey.getText();
if (key.getBytes()[0] == FactDistinctColumnsReducerMapping.MARK_FOR_HLL_COUNTER) {
Long cuboidId = Bytes.toLong(key.getBytes(), 1, Bytes.SIZEOF_LONG);
return reducerMapping.getReducerIdForCuboidRowCount(cuboidId);
} else {
return BytesUtil.readUnsigned(key.getBytes(), 0, 1);
}
}
@Override
public Configuration getConf() {
return conf;
}
}
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