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org.apache.kylin.engine.mr.steps.CuboidJob Maven / Gradle / Ivy
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.kylin.engine.mr.steps;
import java.io.IOException;
import org.apache.commons.cli.Options;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
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.cube.cuboid.CuboidCLI;
import org.apache.kylin.cube.model.CubeDesc;
import org.apache.kylin.engine.mr.CubingJob;
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.job.exception.JobException;
import org.apache.kylin.job.manager.ExecutableManager;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* @author ysong1
*/
public class CuboidJob extends AbstractHadoopJob {
protected static final Logger logger = LoggerFactory.getLogger(CuboidJob.class);
private static final String MAPRED_REDUCE_TASKS = "mapred.reduce.tasks";
@SuppressWarnings("rawtypes")
private Class mapperClass;
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.isLayerCubing() == false;
return skipped;
}
@Override
public int run(String[] args) throws Exception {
if (this.mapperClass == null)
throw new Exception("Mapper class is not set!");
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_NCUBOID_LEVEL);
options.addOption(OPTION_INPUT_FORMAT);
options.addOption(OPTION_CUBING_JOB_ID);
parseOptions(options, args);
Path output = new Path(getOptionValue(OPTION_OUTPUT_PATH));
String cubeName = getOptionValue(OPTION_CUBE_NAME).toUpperCase();
int nCuboidLevel = Integer.parseInt(getOptionValue(OPTION_NCUBOID_LEVEL));
String segmentID = getOptionValue(OPTION_SEGMENT_ID);
String cubingJobId = getOptionValue(OPTION_CUBING_JOB_ID);
CubeManager cubeMgr = CubeManager.getInstance(KylinConfig.getInstanceFromEnv());
CubeInstance cube = cubeMgr.getCube(cubeName);
if (checkSkip(cubingJobId)) {
logger.info("Skip job " + getOptionValue(OPTION_JOB_NAME) + " for " + segmentID + "[" + segmentID + "]");
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());
// Mapper
configureMapperInputFormat(cube.getSegmentById(segmentID));
job.setMapperClass(this.mapperClass);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(Text.class);
job.setCombinerClass(CuboidReducer.class); // for base cuboid shuffle skew, some rowkey aggregates far more records than others
// Reducer
job.setReducerClass(CuboidReducer.class);
job.setOutputFormatClass(SequenceFileOutputFormat.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(Text.class);
FileOutputFormat.setOutputPath(job, output);
// set job configuration
job.getConfiguration().set(BatchConstants.CFG_CUBE_NAME, cubeName);
job.getConfiguration().set(BatchConstants.CFG_CUBE_SEGMENT_ID, segmentID);
job.getConfiguration().setInt(BatchConstants.CFG_CUBE_CUBOID_LEVEL, nCuboidLevel);
// add metadata to distributed cache
attachKylinPropsAndMetadata(cube, job.getConfiguration());
setReduceTaskNum(job, cube.getDescriptor(), nCuboidLevel);
this.deletePath(job.getConfiguration(), output);
return waitForCompletion(job);
} catch (Exception e) {
logger.error("error in CuboidJob", e);
printUsage(options);
throw e;
} finally {
if (job != null)
cleanupTempConfFile(job.getConfiguration());
}
}
private void configureMapperInputFormat(CubeSegment cubeSeg) throws IOException {
String input = getOptionValue(OPTION_INPUT_PATH);
if ("FLAT_TABLE".equals(input)) {
// base cuboid case
IMRTableInputFormat flatTableInputFormat = MRUtil.getBatchCubingInputSide(cubeSeg).getFlatTableInputFormat();
flatTableInputFormat.configureJob(job);
} else {
// n-dimension cuboid case
FileInputFormat.setInputPaths(job, new Path(input));
if (hasOption(OPTION_INPUT_FORMAT) && ("textinputformat".equalsIgnoreCase(getOptionValue(OPTION_INPUT_FORMAT)))) {
job.setInputFormatClass(TextInputFormat.class);
} else {
job.setInputFormatClass(SequenceFileInputFormat.class);
}
}
}
protected void setReduceTaskNum(Job job, CubeDesc cubeDesc, int level) throws ClassNotFoundException, IOException, InterruptedException, JobException {
Configuration jobConf = job.getConfiguration();
KylinConfig kylinConfig = cubeDesc.getConfig();
double perReduceInputMB = kylinConfig.getDefaultHadoopJobReducerInputMB();
double reduceCountRatio = kylinConfig.getDefaultHadoopJobReducerCountRatio();
// total map input MB
double totalMapInputMB = this.getTotalMapInputMB();
// output / input ratio
int preLevelCuboids, thisLevelCuboids;
if (level == 0) { // base cuboid
preLevelCuboids = thisLevelCuboids = 1;
} else { // n-cuboid
int[] allLevelCount = CuboidCLI.calculateAllLevelCount(cubeDesc);
preLevelCuboids = allLevelCount[level - 1];
thisLevelCuboids = allLevelCount[level];
}
// total reduce input MB
double totalReduceInputMB = totalMapInputMB * thisLevelCuboids / preLevelCuboids;
// number of reduce tasks
int numReduceTasks = (int) Math.round(totalReduceInputMB / perReduceInputMB * reduceCountRatio);
// adjust reducer number for cube which has DISTINCT_COUNT measures for better performance
if (cubeDesc.hasMemoryHungryMeasures()) {
numReduceTasks = numReduceTasks * 4;
}
// 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);
jobConf.setInt(MAPRED_REDUCE_TASKS, numReduceTasks);
logger.info("Having total map input MB " + Math.round(totalMapInputMB));
logger.info("Having level " + level + ", pre-level cuboids " + preLevelCuboids + ", this level cuboids " + thisLevelCuboids);
logger.info("Having per reduce MB " + perReduceInputMB + ", reduce count ratio " + reduceCountRatio);
logger.info("Setting " + MAPRED_REDUCE_TASKS + "=" + numReduceTasks);
}
/**
* @param mapperClass
* the mapperClass to set
*/
@SuppressWarnings("rawtypes")
public void setMapperClass(Class mapperClass) {
this.mapperClass = mapperClass;
}
}
