public static void baseSetup() throws Exception {
MiniDFSShim dfs = ShimLoader.getHadoopShims().getMiniDfs(conf, 4, true, null);
fs = dfs.getFileSystem();
baseDfsDir = new Path(new Path(fs.getUri()), "/base");
fs.mkdirs(baseDfsDir);
warehouseDir = new Path(baseDfsDir, "warehouse");
fs.mkdirs(warehouseDir);
conf.setVar(ConfVars.METASTOREWAREHOUSE, warehouseDir.toString());
// Assuming the tests are run either in C or D drive in Windows OS!
dataFileDir =
conf.get("test.data.files")
.replace('\\', '/')
.replace("c:", "")
.replace("C:", "")
.replace("D:", "")
.replace("d:", "");
dataFilePath = new Path(dataFileDir, "kv1.txt");
// Set up scratch directory
Path scratchDir = new Path(baseDfsDir, "scratchdir");
conf.setVar(HiveConf.ConfVars.SCRATCHDIR, scratchDir.toString());
// set hive conf vars
conf.setBoolVar(HiveConf.ConfVars.HIVE_SUPPORT_CONCURRENCY, false);
conf.setBoolVar(HiveConf.ConfVars.HIVE_WAREHOUSE_SUBDIR_INHERIT_PERMS, true);
conf.setVar(HiveConf.ConfVars.DYNAMICPARTITIONINGMODE, "nonstrict");
int port = MetaStoreUtils.findFreePort();
MetaStoreUtils.startMetaStore(port, ShimLoader.getHadoopThriftAuthBridge());
SessionState.start(new CliSessionState(conf));
driver = new Driver(conf);
setupDataTable();
}
@BeforeClass
public static void beforeTest() throws Exception {
Class.forName(MiniHS2.getJdbcDriverName());
HiveConf conf = new HiveConf();
conf.setVar(ConfVars.HIVE_AUTHORIZATION_MANAGER, SQLStdHiveAuthorizerFactory.class.getName());
conf.setVar(ConfVars.HIVE_AUTHENTICATOR_MANAGER, SessionStateUserAuthenticator.class.getName());
conf.setBoolVar(ConfVars.HIVE_AUTHORIZATION_ENABLED, true);
conf.setBoolVar(ConfVars.HIVE_SUPPORT_CONCURRENCY, false);
conf.setBoolVar(ConfVars.HIVE_SERVER2_ENABLE_DOAS, false);
miniHS2 = new MiniHS2(conf);
miniHS2.start(new HashMap<String, String>());
}
/** Not a unit test - this simply runs a MiniHS2 cluster, which can be used for manual testing. */
@Test
public void testRunCluster() throws Exception {
if (!Boolean.parseBoolean(System.getProperty("miniHS2.run", "false"))) {
return;
}
MiniClusterType clusterType =
MiniClusterType.valueOf(System.getProperty("miniHS2.clusterType", "MR").toUpperCase());
String confFilesProperty = System.getProperty("miniHS2.conf", "../../data/conf/hive-site.xml");
boolean usePortsFromConf =
Boolean.parseBoolean(System.getProperty("miniHS2.usePortsFromConf", "false"));
// Load conf files
String[] confFiles = confFilesProperty.split(",");
int idx;
for (idx = 0; idx < confFiles.length; ++idx) {
String confFile = confFiles[idx];
if (confFile.isEmpty()) {
continue;
}
HiveConf.setHiveSiteLocation(new URL("file://" + new File(confFile).toURI().getPath()));
break;
}
HiveConf conf = new HiveConf();
conf.setBoolVar(ConfVars.HIVE_SUPPORT_CONCURRENCY, false);
conf.setBoolVar(HiveConf.ConfVars.HIVE_RPC_QUERY_PLAN, true);
for (; idx < confFiles.length; ++idx) {
String confFile = confFiles[idx];
if (confFile.isEmpty()) {
continue;
}
conf.addResource(new URL("file://" + new File(confFile).toURI().getPath()));
}
miniHS2 = new MiniHS2(conf, clusterType, usePortsFromConf);
Map<String, String> confOverlay = new HashMap<String, String>();
miniHS2.start(confOverlay);
miniHS2.getDFS().getFileSystem().mkdirs(new Path("/apps_staging_dir/anonymous"));
System.out.println("JDBC URL avaailable at " + miniHS2.getJdbcURL());
// MiniHS2 cluster is up .. let it run until someone kills the test
while (true) {
Thread.sleep(1000);
}
}
public static void main(String[] args) throws Exception {
HiveConf conf = new HiveConf();
conf.addResource(new Path("file:///", System.getProperty("oozie.action.conf.xml")));
conf.setVar(ConfVars.SEMANTIC_ANALYZER_HOOK, HCatSemanticAnalyzer.class.getName());
conf.setBoolVar(ConfVars.METASTORE_USE_THRIFT_SASL, true);
SessionState.start(new CliSessionState(conf));
new CliDriver().processLine(args[0]);
}
public void init() throws Exception {
testWarehouse = conf.getVar(HiveConf.ConfVars.METASTOREWAREHOUSE);
conf.setBoolVar(HiveConf.ConfVars.SUBMITLOCALTASKVIACHILD, false);
String execEngine = conf.get("hive.execution.engine");
conf.set("hive.execution.engine", "mr");
SessionState.start(conf);
conf.set("hive.execution.engine", execEngine);
db = Hive.get(conf);
pd = new ParseDriver();
sem = new SemanticAnalyzer(conf);
}
/*
* Helper function to create JobConf for specific ReduceWork.
*/
private JobConf initializeVertexConf(JobConf baseConf, ReduceWork reduceWork) {
JobConf conf = new JobConf(baseConf);
conf.set("mapred.reducer.class", ExecReducer.class.getName());
boolean useSpeculativeExecReducers =
HiveConf.getBoolVar(conf, HiveConf.ConfVars.HIVESPECULATIVEEXECREDUCERS);
HiveConf.setBoolVar(
conf, HiveConf.ConfVars.HADOOPSPECULATIVEEXECREDUCERS, useSpeculativeExecReducers);
return conf;
}
@BeforeClass
public static void before() throws Exception {
int port = MetaStoreUtils.findFreePort();
hiveConf = new HiveConf(TestMetaStoreMetrics.class);
hiveConf.setVar(HiveConf.ConfVars.METASTOREURIS, "thrift://localhost:" + port);
hiveConf.setIntVar(HiveConf.ConfVars.METASTORETHRIFTCONNECTIONRETRIES, 3);
hiveConf.setBoolVar(HiveConf.ConfVars.METASTORE_METRICS, true);
hiveConf.setBoolVar(HiveConf.ConfVars.HIVE_SUPPORT_CONCURRENCY, false);
MetricsFactory.close();
MetricsFactory.init(hiveConf);
metrics = (CodahaleMetrics) MetricsFactory.getInstance();
// Increments one HMS connection
MetaStoreUtils.startMetaStore(port, ShimLoader.getHadoopThriftAuthBridge(), hiveConf);
// Increments one HMS connection (Hive.get())
SessionState.start(new CliSessionState(hiveConf));
driver = new Driver(hiveConf);
}
@BeforeClass
public static void startMetaStoreServer() throws Exception {
securityManager = System.getSecurityManager();
System.setSecurityManager(new NoExitSecurityManager());
HiveConf metastoreConf = new HiveConf();
metastoreConf.setClass(
HiveConf.ConfVars.METASTORE_EXPRESSION_PROXY_CLASS.varname,
MockPartitionExpressionForMetastore.class,
PartitionExpressionProxy.class);
metastoreConf.setBoolVar(HiveConf.ConfVars.METASTORE_TRY_DIRECT_SQL_DDL, false);
int msPort = MetaStoreUtils.startMetaStore(metastoreConf);
hiveConf = new HiveConf(TestHiveMetaStoreGetMetaConf.class);
hiveConf.setVar(HiveConf.ConfVars.METASTOREURIS, "thrift://localhost:" + msPort);
hiveConf.setVar(HiveConf.ConfVars.PREEXECHOOKS, "");
hiveConf.setVar(HiveConf.ConfVars.POSTEXECHOOKS, "");
hiveConf.setBoolVar(HiveConf.ConfVars.HIVE_SUPPORT_CONCURRENCY, false);
hiveConf.setIntVar(HiveConf.ConfVars.METASTORETHRIFTCONNECTIONRETRIES, 10);
System.setProperty(HiveConf.ConfVars.PREEXECHOOKS.varname, " ");
System.setProperty(HiveConf.ConfVars.POSTEXECHOOKS.varname, " ");
}
@Override
protected void setUp() throws Exception {
super.setUp();
System.setProperty(ConfVars.METASTORE_EVENT_LISTENERS.varname, DummyListener.class.getName());
System.setProperty(
ConfVars.METASTORE_PRE_EVENT_LISTENERS.varname, DummyPreListener.class.getName());
Thread t = new Thread(new RunMS());
t.start();
Thread.sleep(40000);
hiveConf = new HiveConf(this.getClass());
hiveConf.setBoolVar(ConfVars.METASTORE_MODE, false);
hiveConf.setVar(HiveConf.ConfVars.METASTOREURIS, "thrift://localhost:" + msPort);
hiveConf.setIntVar(HiveConf.ConfVars.METASTORETHRIFTRETRIES, 3);
hiveConf.set(HiveConf.ConfVars.PREEXECHOOKS.varname, "");
hiveConf.set(HiveConf.ConfVars.POSTEXECHOOKS.varname, "");
hiveConf.set(HiveConf.ConfVars.HIVE_SUPPORT_CONCURRENCY.varname, "false");
SessionState.start(new CliSessionState(hiveConf));
msc = new HiveMetaStoreClient(hiveConf, null);
driver = new Driver(hiveConf);
}
@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
parseContext = pctx;
hiveConf = parseContext.getConf();
try {
hiveDb = Hive.get(hiveConf);
} catch (HiveException e) {
LOG.error(org.apache.hadoop.util.StringUtils.stringifyException(e));
throw new SemanticException(e.getMessage(), e);
}
// Don't try to index optimize the query to build the index
HiveConf.setBoolVar(hiveConf, HiveConf.ConfVars.HIVEOPTINDEXFILTER, false);
/* Check if the input query passes all the tests to be eligible for a rewrite
* If yes, rewrite original query; else, return the current parseContext
*/
if (shouldApplyOptimization()) {
LOG.info("Rewriting Original Query using " + getName() + " optimization.");
rewriteOriginalQuery();
}
return parseContext;
}
/** 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);
}
public void setIsSilent(boolean isSilent) {
if (conf != null) {
conf.setBoolVar(HiveConf.ConfVars.HIVESESSIONSILENT, isSilent);
}
this.isSilent = isSilent;
}
@Override
/** start a new map-reduce job to do the merge, almost the same as ExecDriver. */
public int execute(DriverContext driverContext) {
HiveConf.setVar(job, HiveConf.ConfVars.HIVEINPUTFORMAT, CombineHiveInputFormat.class.getName());
success = true;
ShimLoader.getHadoopShims().setNullOutputFormat(job);
job.setMapperClass(work.getMapperClass());
Context ctx = driverContext.getCtx();
boolean ctxCreated = false;
try {
if (ctx == null) {
ctx = new Context(job);
ctxCreated = true;
}
} catch (IOException e) {
e.printStackTrace();
console.printError(
"Error launching map-reduce job",
"\n" + org.apache.hadoop.util.StringUtils.stringifyException(e));
return 5;
}
job.setMapOutputKeyClass(NullWritable.class);
job.setMapOutputValueClass(NullWritable.class);
if (work.getNumMapTasks() != null) {
job.setNumMapTasks(work.getNumMapTasks());
}
// zero reducers
job.setNumReduceTasks(0);
if (work.getMinSplitSize() != null) {
HiveConf.setLongVar(
job, HiveConf.ConfVars.MAPREDMINSPLITSIZE, work.getMinSplitSize().longValue());
}
if (work.getInputformat() != null) {
HiveConf.setVar(job, HiveConf.ConfVars.HIVEINPUTFORMAT, work.getInputformat());
}
String inpFormat = HiveConf.getVar(job, HiveConf.ConfVars.HIVEINPUTFORMAT);
if ((inpFormat == null) || (!StringUtils.isNotBlank(inpFormat))) {
inpFormat = ShimLoader.getHadoopShims().getInputFormatClassName();
}
LOG.info("Using " + inpFormat);
try {
job.setInputFormat((Class<? extends InputFormat>) (Class.forName(inpFormat)));
} catch (ClassNotFoundException e) {
throw new RuntimeException(e.getMessage());
}
String outputPath = this.work.getOutputDir();
Path tempOutPath = Utilities.toTempPath(new Path(outputPath));
try {
FileSystem fs = tempOutPath.getFileSystem(job);
if (!fs.exists(tempOutPath)) {
fs.mkdirs(tempOutPath);
}
} catch (IOException e) {
console.printError("Can't make path " + outputPath + " : " + e.getMessage());
return 6;
}
RCFileBlockMergeOutputFormat.setMergeOutputPath(job, new Path(outputPath));
job.setOutputKeyClass(NullWritable.class);
job.setOutputValueClass(NullWritable.class);
HiveConf.setBoolVar(
job,
HiveConf.ConfVars.HIVEMERGECURRENTJOBHASDYNAMICPARTITIONS,
work.hasDynamicPartitions());
int returnVal = 0;
RunningJob rj = null;
boolean noName = StringUtils.isEmpty(HiveConf.getVar(job, HiveConf.ConfVars.HADOOPJOBNAME));
String jobName = null;
if (noName && this.getQueryPlan() != null) {
int maxlen = conf.getIntVar(HiveConf.ConfVars.HIVEJOBNAMELENGTH);
jobName = Utilities.abbreviate(this.getQueryPlan().getQueryStr(), maxlen - 6);
}
if (noName) {
// This is for a special case to ensure unit tests pass
HiveConf.setVar(
job,
HiveConf.ConfVars.HADOOPJOBNAME,
jobName != null ? jobName : "JOB" + Utilities.randGen.nextInt());
}
try {
addInputPaths(job, work);
Utilities.setMapRedWork(job, work, ctx.getMRTmpFileURI());
// 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);
String addedJars = Utilities.getResourceFiles(job, SessionState.ResourceType.JAR);
if (!addedJars.isEmpty()) {
job.set("tmpjars", addedJars);
}
// make this client wait if job trcker is not behaving well.
Throttle.checkJobTracker(job, LOG);
// Finally SUBMIT the JOB!
rj = jc.submitJob(job);
returnVal = jobExecHelper.progress(rj, jc);
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 {
try {
if (ctxCreated) {
ctx.clear();
}
if (rj != null) {
if (returnVal != 0) {
rj.killJob();
}
HadoopJobExecHelper.runningJobKillURIs.remove(rj.getJobID());
jobID = rj.getID().toString();
}
RCFileMergeMapper.jobClose(outputPath, success, job, console);
} catch (Exception e) {
}
}
return (returnVal);
}
