org.apache.kylin.engine.mr.BatchCubingJobBuilder2 Maven / Gradle / Ivy
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package org.apache.kylin.engine.mr;
import java.util.List;
import org.apache.kylin.cube.CubeSegment;
import org.apache.kylin.cube.cuboid.CuboidUtil;
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.InMemCuboidJob;
import org.apache.kylin.engine.mr.steps.NDCuboidJob;
import org.apache.kylin.job.constant.ExecutableConstants;
import org.apache.kylin.job.engine.JobEngineConfig;
import org.apache.kylin.metadata.model.TblColRef;
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, Integer priorityOffset) {
super(newSegment, submitter, priorityOffset);
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(createFactDistinctColumnsStep(jobId));
if (isEnableUHCDictStep()) {
result.addTask(createBuildUHCDictStep(jobId));
}
result.addTask(createBuildDictionaryStep(jobId));
result.addTask(createSaveStatisticsStep(jobId));
// add materialize lookup tables if needed
LookupMaterializeContext lookupMaterializeContext = addMaterializeLookupTableSteps(result);
outputSide.addStepPhase2_BuildDictionary(result);
if (seg.getCubeDesc().isShrunkenDictFromGlobalEnabled()) {
result.addTask(createExtractDictionaryFromGlobalJob(jobId));
}
// 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, lookupMaterializeContext));
inputSide.addStepPhase4_Cleanup(result);
outputSide.addStepPhase4_Cleanup(result);
// Set the task priority if specified
result.setPriorityBasedOnPriorityOffset(priorityOffset);
result.getTasks().forEach(task -> task.setPriorityBasedOnPriorityOffset(priorityOffset));
return result;
}
public boolean isEnableUHCDictStep() {
if (!config.getConfig().isBuildUHCDictWithMREnabled()) {
return false;
}
List uhcColumns = seg.getCubeDesc().getAllUHCColumns();
if (uhcColumns.size() == 0) {
return false;
}
return true;
}
protected void addLayerCubingSteps(final CubingJob result, final String jobId, final String cuboidRootPath) {
// Don't know statistics so that tree cuboid scheduler is not determined. Determine the maxLevel at runtime
final int maxLevel = CuboidUtil.getLongestDepth(seg.getCuboidScheduler().getAllCuboidIds());
// 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));
}
}
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);
if (seg.getCubeDesc().isShrunkenDictFromGlobalEnabled()) {
appendExecCmdParameters(cmd, BatchConstants.ARG_SHRUNKEN_DICT_PATH, getShrunkenDictionaryPath(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);
if (seg.getCubeDesc().isShrunkenDictFromGlobalEnabled()) {
appendExecCmdParameters(cmd, BatchConstants.ARG_SHRUNKEN_DICT_PATH, getShrunkenDictionaryPath(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;
}
}
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