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* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
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*
* http://www.apache.org/licenses/LICENSE-2.0
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* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
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package org.apache.kylin.engine.mr;
import org.apache.kylin.cube.CubeSegment;
import org.apache.kylin.engine.mr.IMRInput.IMRBatchCubingInputSide;
import org.apache.kylin.engine.mr.IMROutput2.IMRBatchCubingOutputSide2;
import org.apache.kylin.engine.mr.common.AbstractHadoopJob;
import org.apache.kylin.engine.mr.common.BatchConstants;
import org.apache.kylin.engine.mr.common.MapReduceExecutable;
import org.apache.kylin.engine.mr.steps.BaseCuboidJob;
import org.apache.kylin.engine.mr.steps.CubingExecutableUtil;
import org.apache.kylin.engine.mr.steps.InMemCuboidJob;
import org.apache.kylin.engine.mr.steps.NDCuboidJob;
import org.apache.kylin.engine.mr.steps.SaveStatisticsStep;
import org.apache.kylin.job.constant.ExecutableConstants;
import org.apache.kylin.job.engine.JobEngineConfig;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
public class BatchCubingJobBuilder2 extends JobBuilderSupport {
private static final Logger logger = LoggerFactory.getLogger(BatchCubingJobBuilder2.class);
private final IMRBatchCubingInputSide inputSide;
private final IMRBatchCubingOutputSide2 outputSide;
public BatchCubingJobBuilder2(CubeSegment newSegment, String submitter) {
super(newSegment, submitter);
this.inputSide = MRUtil.getBatchCubingInputSide(seg);
this.outputSide = MRUtil.getBatchCubingOutputSide2(seg);
}
public CubingJob build() {
logger.info("MR_V2 new job to BUILD segment " + seg);
final CubingJob result = CubingJob.createBuildJob(seg, submitter, config);
final String jobId = result.getId();
final String cuboidRootPath = getCuboidRootPath(jobId);
// Phase 1: Create Flat Table & Materialize Hive View in Lookup Tables
inputSide.addStepPhase1_CreateFlatTable(result);
// Phase 2: Build Dictionary
result.addTask(createFactDistinctColumnsStepWithStats(jobId));
result.addTask(createBuildDictionaryStep(jobId));
result.addTask(createSaveStatisticsStep(jobId));
outputSide.addStepPhase2_BuildDictionary(result);
// Phase 3: Build Cube
addLayerCubingSteps(result, jobId, cuboidRootPath); // layer cubing, only selected algorithm will execute
addInMemCubingSteps(result, jobId, cuboidRootPath); // inmem cubing, only selected algorithm will execute
outputSide.addStepPhase3_BuildCube(result);
// Phase 4: Update Metadata & Cleanup
result.addTask(createUpdateCubeInfoAfterBuildStep(jobId));
inputSide.addStepPhase4_Cleanup(result);
outputSide.addStepPhase4_Cleanup(result);
return result;
}
protected void addLayerCubingSteps(final CubingJob result, final String jobId, final String cuboidRootPath) {
final int maxLevel = seg.getCubeDesc().getBuildLevel();
// base cuboid step
result.addTask(createBaseCuboidStep(getCuboidOutputPathsByLevel(cuboidRootPath, 0), jobId));
// n dim cuboid steps
for (int i = 1; i <= maxLevel; i++) {
result.addTask(createNDimensionCuboidStep(getCuboidOutputPathsByLevel(cuboidRootPath, i-1), getCuboidOutputPathsByLevel(cuboidRootPath, i), i, jobId));
}
}
private SaveStatisticsStep createSaveStatisticsStep(String jobId) {
SaveStatisticsStep result = new SaveStatisticsStep();
result.setName(ExecutableConstants.STEP_NAME_SAVE_STATISTICS);
CubingExecutableUtil.setCubeName(seg.getRealization().getName(), result.getParams());
CubingExecutableUtil.setSegmentId(seg.getUuid(), result.getParams());
CubingExecutableUtil.setStatisticsPath(getStatisticsPath(jobId), result.getParams());
CubingExecutableUtil.setCubingJobId(jobId, result.getParams());
return result;
}
protected void addInMemCubingSteps(final CubingJob result, String jobId, String cuboidRootPath) {
// base cuboid job
MapReduceExecutable cubeStep = new MapReduceExecutable();
StringBuilder cmd = new StringBuilder();
appendMapReduceParameters(cmd, JobEngineConfig.IN_MEM_JOB_CONF_SUFFIX);
cubeStep.setName(ExecutableConstants.STEP_NAME_BUILD_IN_MEM_CUBE);
appendExecCmdParameters(cmd, BatchConstants.ARG_CUBE_NAME, seg.getRealization().getName());
appendExecCmdParameters(cmd, BatchConstants.ARG_SEGMENT_ID, seg.getUuid());
appendExecCmdParameters(cmd, BatchConstants.ARG_OUTPUT, cuboidRootPath);
appendExecCmdParameters(cmd, BatchConstants.ARG_JOB_NAME, "Kylin_Cube_Builder_" + seg.getRealization().getName());
appendExecCmdParameters(cmd, BatchConstants.ARG_CUBING_JOB_ID, jobId);
cubeStep.setMapReduceParams(cmd.toString());
cubeStep.setMapReduceJobClass(getInMemCuboidJob());
result.addTask(cubeStep);
}
protected Class<? extends AbstractHadoopJob> getInMemCuboidJob() {
return InMemCuboidJob.class;
}
private MapReduceExecutable createBaseCuboidStep(String cuboidOutputPath, String jobId) {
// base cuboid job
MapReduceExecutable baseCuboidStep = new MapReduceExecutable();
StringBuilder cmd = new StringBuilder();
appendMapReduceParameters(cmd);
baseCuboidStep.setName(ExecutableConstants.STEP_NAME_BUILD_BASE_CUBOID);
appendExecCmdParameters(cmd, BatchConstants.ARG_CUBE_NAME, seg.getRealization().getName());
appendExecCmdParameters(cmd, BatchConstants.ARG_SEGMENT_ID, seg.getUuid());
appendExecCmdParameters(cmd, BatchConstants.ARG_INPUT, "FLAT_TABLE"); // marks flat table input
appendExecCmdParameters(cmd, BatchConstants.ARG_OUTPUT, cuboidOutputPath);
appendExecCmdParameters(cmd, BatchConstants.ARG_JOB_NAME, "Kylin_Base_Cuboid_Builder_" + seg.getRealization().getName());
appendExecCmdParameters(cmd, BatchConstants.ARG_LEVEL, "0");
appendExecCmdParameters(cmd, BatchConstants.ARG_CUBING_JOB_ID, jobId);
baseCuboidStep.setMapReduceParams(cmd.toString());
baseCuboidStep.setMapReduceJobClass(getBaseCuboidJob());
// baseCuboidStep.setCounterSaveAs(CubingJob.SOURCE_RECORD_COUNT + "," + CubingJob.SOURCE_SIZE_BYTES);
return baseCuboidStep;
}
protected Class<? extends AbstractHadoopJob> getBaseCuboidJob() {
return BaseCuboidJob.class;
}
private MapReduceExecutable createNDimensionCuboidStep(String parentPath, String outputPath, int level, String jobId) {
// ND cuboid job
MapReduceExecutable ndCuboidStep = new MapReduceExecutable();
ndCuboidStep.setName(ExecutableConstants.STEP_NAME_BUILD_N_D_CUBOID + " : level " + level);
StringBuilder cmd = new StringBuilder();
appendMapReduceParameters(cmd);
appendExecCmdParameters(cmd, BatchConstants.ARG_CUBE_NAME, seg.getRealization().getName());
appendExecCmdParameters(cmd, BatchConstants.ARG_SEGMENT_ID, seg.getUuid());
appendExecCmdParameters(cmd, BatchConstants.ARG_INPUT, parentPath);
appendExecCmdParameters(cmd, BatchConstants.ARG_OUTPUT, outputPath);
appendExecCmdParameters(cmd, BatchConstants.ARG_JOB_NAME, "Kylin_ND-Cuboid_Builder_" + seg.getRealization().getName() + "_Step");
appendExecCmdParameters(cmd, BatchConstants.ARG_LEVEL, "" + level);
appendExecCmdParameters(cmd, BatchConstants.ARG_CUBING_JOB_ID, jobId);
ndCuboidStep.setMapReduceParams(cmd.toString());
ndCuboidStep.setMapReduceJobClass(getNDCuboidJob());
return ndCuboidStep;
}
protected Class<? extends AbstractHadoopJob> getNDCuboidJob() {
return NDCuboidJob.class;
}
}