org.apache.kylin.engine.mr.steps.CalculateStatsFromBaseCuboidJob Maven / Gradle / Ivy
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package org.apache.kylin.engine.mr.steps;
import java.io.IOException;
import org.apache.commons.cli.Options;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat;
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.common.AbstractHadoopJob;
import org.apache.kylin.engine.mr.common.BatchConstants;
import org.apache.kylin.engine.mr.common.MapReduceUtil;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
public class CalculateStatsFromBaseCuboidJob extends AbstractHadoopJob {
private static final Logger logger = LoggerFactory.getLogger(CalculateStatsFromBaseCuboidJob.class);
@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_INPUT_PATH);
options.addOption(OPTION_OUTPUT_PATH);
options.addOption(OPTION_STATISTICS_SAMPLING_PERCENT);
options.addOption(OPTION_CUBOID_MODE);
parseOptions(options, args);
job = Job.getInstance(getConf(), getOptionValue(OPTION_JOB_NAME));
String cubeName = getOptionValue(OPTION_CUBE_NAME);
String segmentID = getOptionValue(OPTION_SEGMENT_ID);
Path input = new Path(getOptionValue(OPTION_INPUT_PATH));
Path output = new Path(getOptionValue(OPTION_OUTPUT_PATH));
String statistics_sampling_percent = getOptionValue(OPTION_STATISTICS_SAMPLING_PERCENT);
String cuboidMode = getOptionValue(OPTION_CUBOID_MODE);
CubeManager cubeMgr = CubeManager.getInstance(KylinConfig.getInstanceFromEnv());
CubeInstance cube = cubeMgr.getCube(cubeName);
CubeSegment cubeSegment = cube.getSegmentById(segmentID);
job.getConfiguration().set(BatchConstants.CFG_CUBOID_MODE, cuboidMode);
job.getConfiguration().set(BatchConstants.CFG_CUBE_NAME, cubeName);
job.getConfiguration().set(BatchConstants.CFG_CUBE_SEGMENT_ID, segmentID);
job.getConfiguration().set(BatchConstants.CFG_STATISTICS_SAMPLING_PERCENT, statistics_sampling_percent);
logger.info("Starting: " + job.getJobName());
setJobClasspath(job, cube.getConfig());
setupMapper(input);
setupReducer(output, cubeSegment);
attachSegmentMetadataWithDict(cubeSegment, job.getConfiguration());
return waitForCompletion(job);
} catch (Exception e) {
logger.error("error in CalculateStatsFromBaseCuboidJob", e);
printUsage(options);
throw e;
} finally {
if (job != null)
cleanupTempConfFile(job.getConfiguration());
}
}
private void setupMapper(Path input) throws IOException {
FileInputFormat.setInputPaths(job, input);
job.setMapperClass(CalculateStatsFromBaseCuboidMapper.class);
job.setInputFormatClass(SequenceFileInputFormat.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(Text.class);
}
private void setupReducer(Path output, CubeSegment cubeSeg) throws IOException {
int hllShardBase = MapReduceUtil.getCuboidHLLCounterReducerNum(cubeSeg.getCubeInstance());
job.setReducerClass(CalculateStatsFromBaseCuboidReducer.class);
job.setOutputFormatClass(SequenceFileOutputFormat.class);
job.setOutputKeyClass(NullWritable.class);
job.setOutputValueClass(Text.class);
job.setNumReduceTasks(hllShardBase);
FileOutputFormat.setOutputPath(job, output);
job.getConfiguration().set(BatchConstants.CFG_OUTPUT_PATH, output.toString());
deletePath(job.getConfiguration(), output);
}
}
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