org.apache.kylin.engine.mr.steps.InMemCuboidJob Maven / Gradle / Ivy
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package org.apache.kylin.engine.mr.steps;
import java.io.IOException;
import java.util.Map;
import org.apache.commons.cli.Options;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat;
import org.apache.hadoop.util.ToolRunner;
import org.apache.kylin.common.KylinConfig;
import org.apache.kylin.cube.CubeInstance;
import org.apache.kylin.cube.CubeManager;
import org.apache.kylin.cube.CubeSegment;
import org.apache.kylin.engine.mr.ByteArrayWritable;
import org.apache.kylin.engine.mr.CubingJob;
import org.apache.kylin.engine.mr.HadoopUtil;
import org.apache.kylin.engine.mr.IMRInput.IMRTableInputFormat;
import org.apache.kylin.engine.mr.MRUtil;
import org.apache.kylin.engine.mr.common.AbstractHadoopJob;
import org.apache.kylin.engine.mr.common.BatchConstants;
import org.apache.kylin.engine.mr.common.CubeStatsReader;
import org.apache.kylin.job.manager.ExecutableManager;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
*/
public class InMemCuboidJob extends AbstractHadoopJob {
protected static final Logger logger = LoggerFactory.getLogger(InMemCuboidJob.class);
private boolean skipped = false;
@Override
public boolean isSkipped() {
return skipped;
}
private boolean checkSkip(String cubingJobId) {
if (cubingJobId == null)
return false;
ExecutableManager execMgr = ExecutableManager.getInstance(KylinConfig.getInstanceFromEnv());
CubingJob cubingJob = (CubingJob) execMgr.getJob(cubingJobId);
skipped = cubingJob.isInMemCubing() == false;
return skipped;
}
@Override
public int run(String[] args) throws Exception {
Options options = new Options();
try {
options.addOption(OPTION_JOB_NAME);
options.addOption(OPTION_CUBE_NAME);
options.addOption(OPTION_SEGMENT_ID);
options.addOption(OPTION_OUTPUT_PATH);
options.addOption(OPTION_CUBING_JOB_ID);
parseOptions(options, args);
String cubeName = getOptionValue(OPTION_CUBE_NAME).toUpperCase();
String segmentID = getOptionValue(OPTION_SEGMENT_ID);
String output = getOptionValue(OPTION_OUTPUT_PATH);
CubeManager cubeMgr = CubeManager.getInstance(KylinConfig.getInstanceFromEnv());
CubeInstance cube = cubeMgr.getCube(cubeName);
CubeSegment cubeSeg = cube.getSegmentById(segmentID);
String cubingJobId = getOptionValue(OPTION_CUBING_JOB_ID);
if (checkSkip(cubingJobId)) {
logger.info("Skip job " + getOptionValue(OPTION_JOB_NAME) + " for " + cubeSeg);
return 0;
}
job = Job.getInstance(getConf(), getOptionValue(OPTION_JOB_NAME));
job.getConfiguration().set(BatchConstants.ARG_CUBING_JOB_ID, cubingJobId);
logger.info("Starting: " + job.getJobName());
setJobClasspath(job, cube.getConfig());
// add metadata to distributed cache
attachKylinPropsAndMetadata(cube, job.getConfiguration());
// set job configuration
job.getConfiguration().set(BatchConstants.CFG_CUBE_NAME, cubeName);
job.getConfiguration().set(BatchConstants.CFG_CUBE_SEGMENT_ID, segmentID);
// set input
IMRTableInputFormat flatTableInputFormat = MRUtil.getBatchCubingInputSide(cubeSeg).getFlatTableInputFormat();
flatTableInputFormat.configureJob(job);
// set mapper
job.setMapperClass(InMemCuboidMapper.class);
job.setMapOutputKeyClass(ByteArrayWritable.class);
job.setMapOutputValueClass(ByteArrayWritable.class);
// set output
job.setReducerClass(InMemCuboidReducer.class);
job.setNumReduceTasks(calculateReducerNum(cubeSeg));
// the cuboid file and KV class must be compatible with 0.7 version for smooth upgrade
job.setOutputFormatClass(SequenceFileOutputFormat.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(Text.class);
Path outputPath = new Path(output);
FileOutputFormat.setOutputPath(job, outputPath);
HadoopUtil.deletePath(job.getConfiguration(), outputPath);
return waitForCompletion(job);
} catch (Exception e) {
logger.error("error in CuboidJob", e);
printUsage(options);
throw e;
} finally {
if (job != null)
cleanupTempConfFile(job.getConfiguration());
}
}
private int calculateReducerNum(CubeSegment cubeSeg) throws IOException {
KylinConfig kylinConfig = cubeSeg.getConfig();
Map cubeSizeMap = new CubeStatsReader(cubeSeg, kylinConfig).getCuboidSizeMap();
double totalSizeInM = 0;
for (Double cuboidSize : cubeSizeMap.values()) {
totalSizeInM += cuboidSize;
}
double perReduceInputMB = kylinConfig.getDefaultHadoopJobReducerInputMB();
// number of reduce tasks
int numReduceTasks = (int) Math.round(totalSizeInM / perReduceInputMB);
// at least 1 reducer by default
numReduceTasks = Math.max(kylinConfig.getHadoopJobMinReducerNumber(), numReduceTasks);
// no more than 500 reducer by default
numReduceTasks = Math.min(kylinConfig.getHadoopJobMaxReducerNumber(), numReduceTasks);
logger.info("Having total map input MB " + Math.round(totalSizeInM));
logger.info("Having per reduce MB " + perReduceInputMB);
logger.info("Setting " + "mapred.reduce.tasks" + "=" + numReduceTasks);
return numReduceTasks;
}
public static void main(String[] args) throws Exception {
InMemCuboidJob job = new InMemCuboidJob();
int exitCode = ToolRunner.run(job, args);
System.exit(exitCode);
}
}