org.apache.kylin.engine.mr.steps.ConvergeCuboidDataPartitioner Maven / Gradle / Ivy
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package org.apache.kylin.engine.mr.steps;
import java.util.Random;
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.cube.common.RowKeySplitter;
import org.apache.kylin.engine.mr.common.BatchConstants;
import com.google.common.base.Preconditions;
public class ConvergeCuboidDataPartitioner extends Partitioner implements Configurable {
private Random rand = new Random();
private Configuration conf;
private boolean enableSharding;
private long baseCuboidID;
private int numReduceBaseCuboid;
@Override
public int getPartition(Text key, Text value, int numReduceTasks) {
long cuboidID = RowKeySplitter.getCuboidId(key.getBytes(), enableSharding);
// the first numReduceBaseCuboid are for base cuboid
if (cuboidID == baseCuboidID) {
return rand.nextInt(numReduceBaseCuboid);
} else {
return numReduceBaseCuboid + rand.nextInt(numReduceTasks - numReduceBaseCuboid);
}
}
@Override
public void setConf(Configuration conf) {
this.conf = conf;
String partiParam = conf.get(BatchConstants.CFG_CONVERGE_CUBOID_PARTITION_PARAM);
String[] params = partiParam.split(",");
Preconditions.checkArgument(params.length >= 3);
this.enableSharding = Boolean.parseBoolean(params[0]);
this.baseCuboidID = Long.parseLong(params[1]);
this.numReduceBaseCuboid = Integer.parseInt(params[2]);
}
@Override
public Configuration getConf() {
return conf;
}
}
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