private static void setupBucketMapJoinInfo(
MapredWork plan,
AbstractMapJoinOperator<? extends MapJoinDesc> currMapJoinOp,
boolean createLocalPlan) {
if (currMapJoinOp != null) {
LinkedHashMap<String, LinkedHashMap<String, ArrayList<String>>> aliasBucketFileNameMapping =
currMapJoinOp.getConf().getAliasBucketFileNameMapping();
if (aliasBucketFileNameMapping != null) {
MapredLocalWork localPlan = plan.getMapLocalWork();
if (localPlan == null) {
if (currMapJoinOp instanceof SMBMapJoinOperator) {
localPlan = ((SMBMapJoinOperator) currMapJoinOp).getConf().getLocalWork();
}
if (localPlan == null && createLocalPlan) {
localPlan =
new MapredLocalWork(
new LinkedHashMap<String, Operator<? extends Serializable>>(),
new LinkedHashMap<String, FetchWork>());
}
} else {
// local plan is not null, we want to merge it into SMBMapJoinOperator's local work
if (currMapJoinOp instanceof SMBMapJoinOperator) {
MapredLocalWork smbLocalWork =
((SMBMapJoinOperator) currMapJoinOp).getConf().getLocalWork();
if (smbLocalWork != null) {
localPlan.getAliasToFetchWork().putAll(smbLocalWork.getAliasToFetchWork());
localPlan.getAliasToWork().putAll(smbLocalWork.getAliasToWork());
}
}
}
if (localPlan == null) {
return;
}
if (currMapJoinOp instanceof SMBMapJoinOperator) {
plan.setMapLocalWork(null);
((SMBMapJoinOperator) currMapJoinOp).getConf().setLocalWork(localPlan);
} else {
plan.setMapLocalWork(localPlan);
}
BucketMapJoinContext bucketMJCxt = new BucketMapJoinContext();
localPlan.setBucketMapjoinContext(bucketMJCxt);
bucketMJCxt.setAliasBucketFileNameMapping(aliasBucketFileNameMapping);
bucketMJCxt.setBucketFileNameMapping(currMapJoinOp.getConf().getBucketFileNameMapping());
localPlan.setInputFileChangeSensitive(true);
bucketMJCxt.setMapJoinBigTableAlias(currMapJoinOp.getConf().getBigTableAlias());
bucketMJCxt.setBucketMatcherClass(
org.apache.hadoop.hive.ql.exec.DefaultBucketMatcher.class);
}
}
}
/**
* set the current task in the mapredWork.
*
* @param alias current alias
* @param topOp the top operator of the stack
* @param plan current plan
* @param local whether you need to add to map-reduce or local work
* @param tt_desc table descriptor
*/
public static void setTaskPlan(
String path,
String alias,
Operator<? extends Serializable> topOp,
MapredWork plan,
boolean local,
TableDesc tt_desc)
throws SemanticException {
if (path == null || alias == null) {
return;
}
if (!local) {
if (plan.getPathToAliases().get(path) == null) {
plan.getPathToAliases().put(path, new ArrayList<String>());
}
plan.getPathToAliases().get(path).add(alias);
plan.getPathToPartitionInfo().put(path, new PartitionDesc(tt_desc, null));
plan.getAliasToWork().put(alias, topOp);
} else {
// populate local work if needed
MapredLocalWork localPlan = plan.getMapLocalWork();
if (localPlan == null) {
localPlan =
new MapredLocalWork(
new LinkedHashMap<String, Operator<? extends Serializable>>(),
new LinkedHashMap<String, FetchWork>());
}
assert localPlan.getAliasToWork().get(alias) == null;
assert localPlan.getAliasToFetchWork().get(alias) == null;
localPlan.getAliasToWork().put(alias, topOp);
localPlan.getAliasToFetchWork().put(alias, new FetchWork(alias, tt_desc));
plan.setMapLocalWork(localPlan);
}
}
@Override
public void close() {
// No row was processed
if (oc == null) {
LOG.trace("Close called without any rows processed");
}
try {
if (groupKey != null) {
// If a operator wants to do some work at the end of a group
LOG.trace("End Group");
reducer.endGroup();
}
if (isLogInfoEnabled) {
logCloseInfo();
}
reducer.close(abort);
if (localWork != null) {
for (Operator<? extends OperatorDesc> dummyOp : localWork.getDummyParentOp()) {
dummyOp.close(abort);
}
}
ReportStats rps = new ReportStats(rp, jc);
reducer.preorderMap(rps);
} catch (Exception e) {
if (!abort) {
// signal new failure to map-reduce
LOG.error("Hit error while closing operators - failing tree");
throw new RuntimeException(
"Hive Runtime Error while closing operators: " + e.getMessage(), e);
}
} finally {
MapredContext.close();
Utilities.clearWorkMap();
}
}
/**
* set the current task in the mapredWork.
*
* @param alias_id current alias
* @param topOp the top operator of the stack
* @param plan current plan
* @param local whether you need to add to map-reduce or local work
* @param opProcCtx processing context
* @param pList pruned partition list. If it is null it will be computed on-the-fly.
*/
public static void setTaskPlan(
String alias_id,
Operator<? extends Serializable> topOp,
MapredWork plan,
boolean local,
GenMRProcContext opProcCtx,
PrunedPartitionList pList)
throws SemanticException {
ParseContext parseCtx = opProcCtx.getParseCtx();
Set<ReadEntity> inputs = opProcCtx.getInputs();
ArrayList<Path> partDir = new ArrayList<Path>();
ArrayList<PartitionDesc> partDesc = new ArrayList<PartitionDesc>();
Path tblDir = null;
TableDesc tblDesc = null;
PrunedPartitionList partsList = pList;
if (partsList == null) {
try {
partsList = parseCtx.getOpToPartList().get((TableScanOperator) topOp);
if (partsList == null) {
partsList =
PartitionPruner.prune(
parseCtx.getTopToTable().get(topOp),
parseCtx.getOpToPartPruner().get(topOp),
opProcCtx.getConf(),
alias_id,
parseCtx.getPrunedPartitions());
parseCtx.getOpToPartList().put((TableScanOperator) topOp, partsList);
}
} catch (SemanticException e) {
throw e;
} catch (HiveException e) {
LOG.error(org.apache.hadoop.util.StringUtils.stringifyException(e));
throw new SemanticException(e.getMessage(), e);
}
}
// Generate the map work for this alias_id
Set<Partition> parts = null;
// pass both confirmed and unknown partitions through the map-reduce
// framework
parts = partsList.getConfirmedPartns();
parts.addAll(partsList.getUnknownPartns());
PartitionDesc aliasPartnDesc = null;
try {
if (!parts.isEmpty()) {
aliasPartnDesc = Utilities.getPartitionDesc(parts.iterator().next());
}
} catch (HiveException e) {
LOG.error(org.apache.hadoop.util.StringUtils.stringifyException(e));
throw new SemanticException(e.getMessage(), e);
}
// The table does not have any partitions
if (aliasPartnDesc == null) {
aliasPartnDesc =
new PartitionDesc(Utilities.getTableDesc(parseCtx.getTopToTable().get(topOp)), null);
}
plan.getAliasToPartnInfo().put(alias_id, aliasPartnDesc);
for (Partition part : parts) {
if (part.getTable().isPartitioned()) {
inputs.add(new ReadEntity(part));
} else {
inputs.add(new ReadEntity(part.getTable()));
}
// Later the properties have to come from the partition as opposed
// to from the table in order to support versioning.
Path[] paths;
sampleDesc sampleDescr = parseCtx.getOpToSamplePruner().get(topOp);
if (sampleDescr != null) {
paths = SamplePruner.prune(part, sampleDescr);
} else {
paths = part.getPath();
}
// is it a partitioned table ?
if (!part.getTable().isPartitioned()) {
assert ((tblDir == null) && (tblDesc == null));
tblDir = paths[0];
tblDesc = Utilities.getTableDesc(part.getTable());
}
for (Path p : paths) {
if (p == null) {
continue;
}
String path = p.toString();
if (LOG.isDebugEnabled()) {
LOG.debug("Adding " + path + " of table" + alias_id);
}
partDir.add(p);
try {
partDesc.add(Utilities.getPartitionDesc(part));
} catch (HiveException e) {
LOG.error(org.apache.hadoop.util.StringUtils.stringifyException(e));
throw new SemanticException(e.getMessage(), e);
}
}
}
Iterator<Path> iterPath = partDir.iterator();
Iterator<PartitionDesc> iterPartnDesc = partDesc.iterator();
if (!local) {
while (iterPath.hasNext()) {
assert iterPartnDesc.hasNext();
String path = iterPath.next().toString();
PartitionDesc prtDesc = iterPartnDesc.next();
// Add the path to alias mapping
if (plan.getPathToAliases().get(path) == null) {
plan.getPathToAliases().put(path, new ArrayList<String>());
}
plan.getPathToAliases().get(path).add(alias_id);
plan.getPathToPartitionInfo().put(path, prtDesc);
if (LOG.isDebugEnabled()) {
LOG.debug("Information added for path " + path);
}
}
assert plan.getAliasToWork().get(alias_id) == null;
plan.getAliasToWork().put(alias_id, topOp);
} else {
// populate local work if needed
MapredLocalWork localPlan = plan.getMapLocalWork();
if (localPlan == null) {
localPlan =
new MapredLocalWork(
new LinkedHashMap<String, Operator<? extends Serializable>>(),
new LinkedHashMap<String, FetchWork>());
}
assert localPlan.getAliasToWork().get(alias_id) == null;
assert localPlan.getAliasToFetchWork().get(alias_id) == null;
localPlan.getAliasToWork().put(alias_id, topOp);
if (tblDir == null) {
localPlan
.getAliasToFetchWork()
.put(alias_id, new FetchWork(FetchWork.convertPathToStringArray(partDir), partDesc));
} else {
localPlan.getAliasToFetchWork().put(alias_id, new FetchWork(tblDir.toString(), tblDesc));
}
plan.setMapLocalWork(localPlan);
}
}
/** Execute a query plan using Hadoop. */
@SuppressWarnings({"deprecation", "unchecked"})
@Override
public int execute(DriverContext driverContext) {
IOPrepareCache ioPrepareCache = IOPrepareCache.get();
ioPrepareCache.clear();
boolean success = true;
Context ctx = driverContext.getCtx();
boolean ctxCreated = false;
Path emptyScratchDir;
MapWork mWork = work.getMapWork();
ReduceWork rWork = work.getReduceWork();
try {
if (ctx == null) {
ctx = new Context(job);
ctxCreated = true;
}
emptyScratchDir = ctx.getMRTmpPath();
FileSystem fs = emptyScratchDir.getFileSystem(job);
fs.mkdirs(emptyScratchDir);
} catch (IOException e) {
e.printStackTrace();
console.printError(
"Error launching map-reduce job",
"\n" + org.apache.hadoop.util.StringUtils.stringifyException(e));
return 5;
}
HiveFileFormatUtils.prepareJobOutput(job);
// See the javadoc on HiveOutputFormatImpl and HadoopShims.prepareJobOutput()
job.setOutputFormat(HiveOutputFormatImpl.class);
job.setMapperClass(ExecMapper.class);
job.setMapOutputKeyClass(HiveKey.class);
job.setMapOutputValueClass(BytesWritable.class);
try {
String partitioner = HiveConf.getVar(job, ConfVars.HIVEPARTITIONER);
job.setPartitionerClass(JavaUtils.loadClass(partitioner));
} catch (ClassNotFoundException e) {
throw new RuntimeException(e.getMessage(), e);
}
if (mWork.getNumMapTasks() != null) {
job.setNumMapTasks(mWork.getNumMapTasks().intValue());
}
if (mWork.getMaxSplitSize() != null) {
HiveConf.setLongVar(
job, HiveConf.ConfVars.MAPREDMAXSPLITSIZE, mWork.getMaxSplitSize().longValue());
}
if (mWork.getMinSplitSize() != null) {
HiveConf.setLongVar(
job, HiveConf.ConfVars.MAPREDMINSPLITSIZE, mWork.getMinSplitSize().longValue());
}
if (mWork.getMinSplitSizePerNode() != null) {
HiveConf.setLongVar(
job,
HiveConf.ConfVars.MAPREDMINSPLITSIZEPERNODE,
mWork.getMinSplitSizePerNode().longValue());
}
if (mWork.getMinSplitSizePerRack() != null) {
HiveConf.setLongVar(
job,
HiveConf.ConfVars.MAPREDMINSPLITSIZEPERRACK,
mWork.getMinSplitSizePerRack().longValue());
}
job.setNumReduceTasks(rWork != null ? rWork.getNumReduceTasks().intValue() : 0);
job.setReducerClass(ExecReducer.class);
// set input format information if necessary
setInputAttributes(job);
// Turn on speculative execution for reducers
boolean useSpeculativeExecReducers =
HiveConf.getBoolVar(job, HiveConf.ConfVars.HIVESPECULATIVEEXECREDUCERS);
HiveConf.setBoolVar(
job, HiveConf.ConfVars.HADOOPSPECULATIVEEXECREDUCERS, useSpeculativeExecReducers);
String inpFormat = HiveConf.getVar(job, HiveConf.ConfVars.HIVEINPUTFORMAT);
if (mWork.isUseBucketizedHiveInputFormat()) {
inpFormat = BucketizedHiveInputFormat.class.getName();
}
LOG.info("Using " + inpFormat);
try {
job.setInputFormat(JavaUtils.loadClass(inpFormat));
} catch (ClassNotFoundException e) {
throw new RuntimeException(e.getMessage(), e);
}
// No-Op - we don't really write anything here ..
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(Text.class);
// Transfer HIVEAUXJARS and HIVEADDEDJARS to "tmpjars" so hadoop understands
// it
String auxJars = HiveConf.getVar(job, HiveConf.ConfVars.HIVEAUXJARS);
String addedJars = HiveConf.getVar(job, HiveConf.ConfVars.HIVEADDEDJARS);
if (StringUtils.isNotBlank(auxJars) || StringUtils.isNotBlank(addedJars)) {
String allJars =
StringUtils.isNotBlank(auxJars)
? (StringUtils.isNotBlank(addedJars) ? addedJars + "," + auxJars : auxJars)
: addedJars;
LOG.info("adding libjars: " + allJars);
initializeFiles("tmpjars", allJars);
}
// Transfer HIVEADDEDFILES to "tmpfiles" so hadoop understands it
String addedFiles = HiveConf.getVar(job, HiveConf.ConfVars.HIVEADDEDFILES);
if (StringUtils.isNotBlank(addedFiles)) {
initializeFiles("tmpfiles", addedFiles);
}
int returnVal = 0;
boolean noName = StringUtils.isEmpty(HiveConf.getVar(job, HiveConf.ConfVars.HADOOPJOBNAME));
if (noName) {
// This is for a special case to ensure unit tests pass
HiveConf.setVar(job, HiveConf.ConfVars.HADOOPJOBNAME, "JOB" + Utilities.randGen.nextInt());
}
String addedArchives = HiveConf.getVar(job, HiveConf.ConfVars.HIVEADDEDARCHIVES);
// Transfer HIVEADDEDARCHIVES to "tmparchives" so hadoop understands it
if (StringUtils.isNotBlank(addedArchives)) {
initializeFiles("tmparchives", addedArchives);
}
try {
MapredLocalWork localwork = mWork.getMapRedLocalWork();
if (localwork != null && localwork.hasStagedAlias()) {
if (!ShimLoader.getHadoopShims().isLocalMode(job)) {
Path localPath = localwork.getTmpPath();
Path hdfsPath = mWork.getTmpHDFSPath();
FileSystem hdfs = hdfsPath.getFileSystem(job);
FileSystem localFS = localPath.getFileSystem(job);
FileStatus[] hashtableFiles = localFS.listStatus(localPath);
int fileNumber = hashtableFiles.length;
String[] fileNames = new String[fileNumber];
for (int i = 0; i < fileNumber; i++) {
fileNames[i] = hashtableFiles[i].getPath().getName();
}
// package and compress all the hashtable files to an archive file
String stageId = this.getId();
String archiveFileName = Utilities.generateTarFileName(stageId);
localwork.setStageID(stageId);
CompressionUtils.tar(localPath.toUri().getPath(), fileNames, archiveFileName);
Path archivePath = Utilities.generateTarPath(localPath, stageId);
LOG.info("Archive " + hashtableFiles.length + " hash table files to " + archivePath);
// upload archive file to hdfs
Path hdfsFilePath = Utilities.generateTarPath(hdfsPath, stageId);
short replication = (short) job.getInt("mapred.submit.replication", 10);
hdfs.copyFromLocalFile(archivePath, hdfsFilePath);
hdfs.setReplication(hdfsFilePath, replication);
LOG.info("Upload 1 archive file from" + archivePath + " to: " + hdfsFilePath);
// add the archive file to distributed cache
DistributedCache.createSymlink(job);
DistributedCache.addCacheArchive(hdfsFilePath.toUri(), job);
LOG.info(
"Add 1 archive file to distributed cache. Archive file: " + hdfsFilePath.toUri());
}
}
work.configureJobConf(job);
List<Path> inputPaths = Utilities.getInputPaths(job, mWork, emptyScratchDir, ctx, false);
Utilities.setInputPaths(job, inputPaths);
Utilities.setMapRedWork(job, work, ctx.getMRTmpPath());
if (mWork.getSamplingType() > 0 && rWork != null && job.getNumReduceTasks() > 1) {
try {
handleSampling(ctx, mWork, job);
job.setPartitionerClass(HiveTotalOrderPartitioner.class);
} catch (IllegalStateException e) {
console.printInfo("Not enough sampling data.. Rolling back to single reducer task");
rWork.setNumReduceTasks(1);
job.setNumReduceTasks(1);
} catch (Exception e) {
LOG.error("Sampling error", e);
console.printError(
e.toString(), "\n" + org.apache.hadoop.util.StringUtils.stringifyException(e));
rWork.setNumReduceTasks(1);
job.setNumReduceTasks(1);
}
}
// remove the pwd from conf file so that job tracker doesn't show this
// logs
String pwd = HiveConf.getVar(job, HiveConf.ConfVars.METASTOREPWD);
if (pwd != null) {
HiveConf.setVar(job, HiveConf.ConfVars.METASTOREPWD, "HIVE");
}
JobClient jc = new JobClient(job);
// make this client wait if job tracker is not behaving well.
Throttle.checkJobTracker(job, LOG);
if (mWork.isGatheringStats() || (rWork != null && rWork.isGatheringStats())) {
// initialize stats publishing table
StatsPublisher statsPublisher;
StatsFactory factory = StatsFactory.newFactory(job);
if (factory != null) {
statsPublisher = factory.getStatsPublisher();
List<String> statsTmpDir = Utilities.getStatsTmpDirs(mWork, job);
if (rWork != null) {
statsTmpDir.addAll(Utilities.getStatsTmpDirs(rWork, job));
}
StatsCollectionContext sc = new StatsCollectionContext(job);
sc.setStatsTmpDirs(statsTmpDir);
if (!statsPublisher.init(sc)) { // creating stats table if not exists
if (HiveConf.getBoolVar(job, HiveConf.ConfVars.HIVE_STATS_RELIABLE)) {
throw new HiveException(
ErrorMsg.STATSPUBLISHER_INITIALIZATION_ERROR.getErrorCodedMsg());
}
}
}
}
Utilities.createTmpDirs(job, mWork);
Utilities.createTmpDirs(job, rWork);
SessionState ss = SessionState.get();
if (HiveConf.getVar(job, HiveConf.ConfVars.HIVE_EXECUTION_ENGINE).equals("tez")
&& ss != null) {
TezSessionState session = ss.getTezSession();
TezSessionPoolManager.getInstance().close(session, true);
}
// Finally SUBMIT the JOB!
rj = jc.submitJob(job);
// replace it back
if (pwd != null) {
HiveConf.setVar(job, HiveConf.ConfVars.METASTOREPWD, pwd);
}
returnVal = jobExecHelper.progress(rj, jc, ctx.getHiveTxnManager());
success = (returnVal == 0);
} catch (Exception e) {
e.printStackTrace();
String mesg = " with exception '" + Utilities.getNameMessage(e) + "'";
if (rj != null) {
mesg = "Ended Job = " + rj.getJobID() + mesg;
} else {
mesg = "Job Submission failed" + mesg;
}
// Has to use full name to make sure it does not conflict with
// org.apache.commons.lang.StringUtils
console.printError(mesg, "\n" + org.apache.hadoop.util.StringUtils.stringifyException(e));
success = false;
returnVal = 1;
} finally {
Utilities.clearWork(job);
try {
if (ctxCreated) {
ctx.clear();
}
if (rj != null) {
if (returnVal != 0) {
rj.killJob();
}
jobID = rj.getID().toString();
}
} catch (Exception e) {
LOG.warn("Failed while cleaning up ", e);
} finally {
HadoopJobExecHelper.runningJobs.remove(rj);
}
}
// get the list of Dynamic partition paths
try {
if (rj != null) {
if (mWork.getAliasToWork() != null) {
for (Operator<? extends OperatorDesc> op : mWork.getAliasToWork().values()) {
op.jobClose(job, success);
}
}
if (rWork != null) {
rWork.getReducer().jobClose(job, success);
}
}
} catch (Exception e) {
// jobClose needs to execute successfully otherwise fail task
if (success) {
success = false;
returnVal = 3;
String mesg = "Job Commit failed with exception '" + Utilities.getNameMessage(e) + "'";
console.printError(mesg, "\n" + org.apache.hadoop.util.StringUtils.stringifyException(e));
}
}
return (returnVal);
}
@Override
@SuppressWarnings("unchecked")
public void init(JobConf job, OutputCollector output, Reporter reporter) throws Exception {
perfLogger.PerfLogBegin(CLASS_NAME, PerfLogger.SPARK_INIT_OPERATORS);
super.init(job, output, reporter);
rowObjectInspector = new ObjectInspector[Byte.MAX_VALUE];
ObjectInspector[] valueObjectInspector = new ObjectInspector[Byte.MAX_VALUE];
ObjectInspector keyObjectInspector;
ReduceWork gWork = Utilities.getReduceWork(job);
reducer = gWork.getReducer();
vectorized = gWork.getVectorMode();
reducer.setParentOperators(null); // clear out any parents as reducer is the
// root
isTagged = gWork.getNeedsTagging();
try {
keyTableDesc = gWork.getKeyDesc();
inputKeyDeserializer = ReflectionUtils.newInstance(keyTableDesc.getDeserializerClass(), null);
SerDeUtils.initializeSerDe(inputKeyDeserializer, null, keyTableDesc.getProperties(), null);
keyObjectInspector = inputKeyDeserializer.getObjectInspector();
valueTableDesc = new TableDesc[gWork.getTagToValueDesc().size()];
if (vectorized) {
final int maxTags = gWork.getTagToValueDesc().size();
keyStructInspector = (StructObjectInspector) keyObjectInspector;
batches = new VectorizedRowBatch[maxTags];
valueStructInspectors = new StructObjectInspector[maxTags];
valueStringWriters = new List[maxTags];
keysColumnOffset = keyStructInspector.getAllStructFieldRefs().size();
buffer = new DataOutputBuffer();
}
for (int tag = 0; tag < gWork.getTagToValueDesc().size(); tag++) {
// We should initialize the SerDe with the TypeInfo when available.
valueTableDesc[tag] = gWork.getTagToValueDesc().get(tag);
inputValueDeserializer[tag] =
ReflectionUtils.newInstance(valueTableDesc[tag].getDeserializerClass(), null);
SerDeUtils.initializeSerDe(
inputValueDeserializer[tag], null, valueTableDesc[tag].getProperties(), null);
valueObjectInspector[tag] = inputValueDeserializer[tag].getObjectInspector();
ArrayList<ObjectInspector> ois = new ArrayList<ObjectInspector>();
if (vectorized) {
/* vectorization only works with struct object inspectors */
valueStructInspectors[tag] = (StructObjectInspector) valueObjectInspector[tag];
ObjectPair<VectorizedRowBatch, StandardStructObjectInspector> pair =
VectorizedBatchUtil.constructVectorizedRowBatch(
keyStructInspector,
valueStructInspectors[tag],
gWork.getVectorScratchColumnTypeMap());
batches[tag] = pair.getFirst();
final int totalColumns =
keysColumnOffset + valueStructInspectors[tag].getAllStructFieldRefs().size();
valueStringWriters[tag] = new ArrayList<VectorExpressionWriter>(totalColumns);
valueStringWriters[tag].addAll(
Arrays.asList(
VectorExpressionWriterFactory.genVectorStructExpressionWritables(
keyStructInspector)));
valueStringWriters[tag].addAll(
Arrays.asList(
VectorExpressionWriterFactory.genVectorStructExpressionWritables(
valueStructInspectors[tag])));
rowObjectInspector[tag] = pair.getSecond();
} else {
ois.add(keyObjectInspector);
ois.add(valueObjectInspector[tag]);
// reducer.setGroupKeyObjectInspector(keyObjectInspector);
rowObjectInspector[tag] =
ObjectInspectorFactory.getStandardStructObjectInspector(
Utilities.reduceFieldNameList, ois);
}
}
} catch (Exception e) {
throw new RuntimeException(e);
}
ExecMapperContext execContext = new ExecMapperContext(job);
localWork = gWork.getMapRedLocalWork();
execContext.setJc(jc);
execContext.setLocalWork(localWork);
reducer.passExecContext(execContext);
reducer.setReporter(rp);
OperatorUtils.setChildrenCollector(
Arrays.<Operator<? extends OperatorDesc>>asList(reducer), output);
// initialize reduce operator tree
try {
LOG.info(reducer.dump(0));
reducer.initialize(jc, rowObjectInspector);
if (localWork != null) {
for (Operator<? extends OperatorDesc> dummyOp : localWork.getDummyParentOp()) {
dummyOp.setExecContext(execContext);
dummyOp.initialize(jc, null);
}
}
} catch (Throwable e) {
abort = true;
if (e instanceof OutOfMemoryError) {
// Don't create a new object if we are already out of memory
throw (OutOfMemoryError) e;
} else {
throw new RuntimeException("Reduce operator initialization failed", e);
}
}
perfLogger.PerfLogEnd(CLASS_NAME, PerfLogger.SPARK_INIT_OPERATORS);
}
