List of usage examples for org.apache.hadoop.mapreduce Job setNumReduceTasks
public void setNumReduceTasks(int tasks) throws IllegalStateException
From source file:com.igalia.metamail.jobs.MessagesByTimePeriod.java
License:Open Source License
private static Job setupJob() throws IOException, InterruptedException, ClassNotFoundException { Configuration config = HBaseConfiguration.create(); Job job = new Job(config, "MessagesByTimePeriod"); job.setJarByClass(MessagesByTimePeriod.class); Scan scan = new Scan(); scan.setCaching(500);/* w w w . j a v a 2s .c o m*/ scan.setCacheBlocks(false); // don't set to true for MR jobs // Mapper TableMapReduceUtil.initTableMapperJob(mailsTable, // input HBase table name scan, // Scan instance to control CF and attribute selection MessagesByTimePeriod.MessagesByTimePeriodMapper.class, Text.class, IntWritable.class, job); // Reducer job.setReducerClass(MessagesByTimePeriod.MessagesByTimePeriodReducer.class); job.setNumReduceTasks(1); FileOutputFormat.setOutputPath(job, new Path(MessagesByTimePeriod.MAIL_OUT)); return job; }
From source file:com.ikanow.aleph2.analytics.hadoop.assets.VerySimpleLocalExample.java
License:Apache License
@SuppressWarnings({ "deprecation", "unchecked", "rawtypes" })
@Test//from www . j ava2 s . c o m
public void test_localHadoopLaunch()
throws IOException, IllegalStateException, ClassNotFoundException, InterruptedException {
// 0) Setup the temp dir
final String temp_dir = System.getProperty("java.io.tmpdir") + File.separator;
//final Path tmp_path = FileContext.getLocalFSFileContext().makeQualified(new Path(temp_dir));
final Path tmp_path2 = FileContext.getLocalFSFileContext()
.makeQualified(new Path(temp_dir + "/tmp_output"));
try {
FileContext.getLocalFSFileContext().delete(tmp_path2, true);
} catch (Exception e) {
} // (just doesn't exist yet)
// 1) Setup config with local mode
final Configuration config = new Configuration();
config.setBoolean("mapred.used.genericoptionsparser", true); // (just stops an annoying warning from appearing)
config.set("fs.file.impl", "org.apache.hadoop.fs.LocalFileSystem");
config.set("mapred.job.tracker", "local");
config.set("fs.defaultFS", "local");
config.unset("mapreduce.framework.name");
// If running locally, turn "snappy" off - tomcat isn't pointing its native library path in the right place
config.set("mapred.map.output.compression.codec", "org.apache.hadoop.io.compress.DefaultCodec");
// 2) Build job and do more setup using the Job API
//TODO: not sure why this is deprecated, it doesn't seem to be in v1? We do need to move to JobConf at some point, but I ran into some
// issues when trying to do everything I needed to for V1, so seems expedient to start here and migrate away
final Job hj = new Job(config); // (NOTE: from here, changes to config are ignored)
// Input format:
//TOOD: fails because of guava issue, looks like we'll need to move to 2.7 and check it works with 2.5.x server?
//TextInputFormat.addInputPath(hj, tmp_path);
//hj.setInputFormatClass((Class<? extends InputFormat>) Class.forName ("org.apache.hadoop.mapreduce.lib.input.TextInputFormat"));
hj.setInputFormatClass(TestInputFormat.class);
// Output format:
hj.setOutputFormatClass((Class<? extends OutputFormat>) Class
.forName("org.apache.hadoop.mapreduce.lib.output.TextOutputFormat"));
TextOutputFormat.setOutputPath(hj, tmp_path2);
// Mapper etc (combiner/reducer are similar)
hj.setMapperClass(TestMapper.class);
hj.setOutputKeyClass(Text.class);
hj.setOutputValueClass(Text.class);
hj.setNumReduceTasks(0); // (disable reducer for now)
hj.setJar("test");
try {
hj.submit();
} catch (UnsatisfiedLinkError e) {
throw new RuntimeException(
"This is a windows/hadoop compatibility problem - adding the hadoop-commons in the misc_test_assets subdirectory to the top of the classpath should resolve it (and does in V1), though I haven't yet made that work with Aleph2",
e);
}
//hj.getJobID().toString();
while (!hj.isComplete()) {
Thread.sleep(1000);
}
assertTrue("Finished successfully", hj.isSuccessful());
}
From source file:com.ikanow.aleph2.analytics.hadoop.services.BeJobLauncher.java
License:Open Source License
@Override public Validation<String, Job> runEnhancementJob(final DataBucketBean bucket, final Optional<ProcessingTestSpecBean> testSpec) { final Configuration config = getHadoopConfig(); final ClassLoader currentClassloader = Thread.currentThread().getContextClassLoader(); //(not currently used, but has proven useful in the past) try {//from w w w . j a v a 2s . c o m final String contextSignature = _batchEnrichmentContext .getEnrichmentContextSignature(Optional.of(bucket), Optional.empty()); config.set(BatchEnrichmentJob.BE_CONTEXT_SIGNATURE, contextSignature); final Optional<Long> debug_max = testSpec .flatMap(testSpecVals -> Optional.ofNullable(testSpecVals.requested_num_objects())); //then gets applied to all the inputs: debug_max.ifPresent(val -> config.set(BatchEnrichmentJob.BE_DEBUG_MAX_SIZE, val.toString())); final Aleph2MultiInputFormatBuilder inputBuilder = new Aleph2MultiInputFormatBuilder(); // Create a separate InputFormat for every input (makes testing life easier) Optional.ofNullable(_batchEnrichmentContext.getJob().inputs()).orElse(Collections.emptyList()).stream() .forEach(Lambdas.wrap_consumer_u(input -> { final List<String> paths = _batchEnrichmentContext.getAnalyticsContext() .getInputPaths(Optional.of(bucket), _batchEnrichmentContext.getJob(), input); final Job inputJob = Job.getInstance(config); inputJob.setInputFormatClass(BeFileInputFormat.class); paths.stream().forEach(Lambdas .wrap_consumer_u(path -> FileInputFormat.addInputPath(inputJob, new Path(path)))); inputBuilder.addInput(UuidUtils.get().getRandomUuid(), inputJob); })); ; // (ALEPH-12): other input format types // Now do everything else final String jobName = BucketUtils.getUniqueSignature(bucket.full_name(), Optional.ofNullable(_batchEnrichmentContext.getJob().name())); // do not set anything into config past this line (can set job.getConfiguration() elements though - that is what the builder does) Job job = Job.getInstance(config, jobName); job.setJarByClass(BatchEnrichmentJob.class); // Set the classpath cacheJars(job, bucket, _batchEnrichmentContext.getAnalyticsContext()); // (generic mapper - the actual code is run using the classes in the shared libraries) job.setMapperClass(BatchEnrichmentJob.BatchEnrichmentMapper.class); //TODO: ALEPH-12 handle reducer scenarios job.setNumReduceTasks(0); //job.setReducerClass(BatchEnrichmentJob.BatchEnrichmentReducer.class); // Input format: inputBuilder.build(job); // Output format (doesn't really do anything, all the actual output code is performed by the mapper via the enrichment context) job.setOutputFormatClass(BeFileOutputFormat.class); launch(job); return Validation.success(job); } catch (Throwable t) { logger.error("Caught Exception", t); return Validation.fail(ErrorUtils.getLongForm("{0}", t)); } finally { Thread.currentThread().setContextClassLoader(currentClassloader); } }
From source file:com.ikanow.infinit.e.core.mapreduce.HadoopJobRunner.java
License:Open Source License
@SuppressWarnings({ "unchecked", "rawtypes" })
private String runHadoopJob(CustomMapReduceJobPojo job, String tempJarLocation)
throws IOException, SAXException, ParserConfigurationException {
StringWriter xml = new StringWriter();
createConfigXML(xml, job.jobtitle, job.inputCollection,
getQueryOrProcessing(job.query, QuerySpec.INPUTFIELDS), job.isCustomTable, job.getOutputDatabase(),
job._id.toString(), job.outputCollectionTemp, job.mapper, job.reducer, job.combiner,
getQueryOrProcessing(job.query, QuerySpec.QUERY), job.communityIds, job.outputKey, job.outputValue,
job.arguments);//from ww w . j a v a 2s . c o m
ClassLoader savedClassLoader = Thread.currentThread().getContextClassLoader();
URLClassLoader child = new URLClassLoader(new URL[] { new File(tempJarLocation).toURI().toURL() },
savedClassLoader);
Thread.currentThread().setContextClassLoader(child);
// Now load the XML into a configuration object:
Configuration config = new Configuration();
try {
DocumentBuilderFactory dbFactory = DocumentBuilderFactory.newInstance();
DocumentBuilder dBuilder = dbFactory.newDocumentBuilder();
Document doc = dBuilder.parse(new ByteArrayInputStream(xml.toString().getBytes()));
NodeList nList = doc.getElementsByTagName("property");
for (int temp = 0; temp < nList.getLength(); temp++) {
Node nNode = nList.item(temp);
if (nNode.getNodeType() == Node.ELEMENT_NODE) {
Element eElement = (Element) nNode;
String name = getTagValue("name", eElement);
String value = getTagValue("value", eElement);
if ((null != name) && (null != value)) {
config.set(name, value);
}
}
}
} catch (Exception e) {
throw new IOException(e.getMessage());
}
// Now run the JAR file
try {
config.setBoolean("mapred.used.genericoptionsparser", true); // (just stops an annoying warning from appearing)
if (bLocalMode) {
config.set("mapred.job.tracker", "local");
config.set("fs.default.name", "local");
} else {
String trackerUrl = HadoopUtils.getXMLProperty(
prop_custom.getHadoopConfigPath() + "/hadoop/mapred-site.xml", "mapred.job.tracker");
String fsUrl = HadoopUtils.getXMLProperty(
prop_custom.getHadoopConfigPath() + "/hadoop/core-site.xml", "fs.default.name");
config.set("mapred.job.tracker", trackerUrl);
config.set("fs.default.name", fsUrl);
}
Job hj = new Job(config);
Class<?> classToLoad = Class.forName(job.mapper, true, child);
hj.setJarByClass(classToLoad);
hj.setInputFormatClass((Class<? extends InputFormat>) Class
.forName("com.ikanow.infinit.e.data_model.custom.InfiniteMongoInputFormat", true, child));
if ((null != job.exportToHdfs) && job.exportToHdfs) {
hj.setOutputFormatClass((Class<? extends OutputFormat>) Class
.forName("org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat", true, child));
Path outPath = this.ensureOutputDirectory(job);
SequenceFileOutputFormat.setOutputPath(hj, outPath);
} else { // normal case, stays in MongoDB
hj.setOutputFormatClass((Class<? extends OutputFormat>) Class
.forName("com.mongodb.hadoop.MongoOutputFormat", true, child));
}
hj.setMapperClass((Class<? extends Mapper>) Class.forName(job.mapper, true, child));
if ((null != job.reducer) && !job.reducer.equalsIgnoreCase("null")
&& !job.reducer.equalsIgnoreCase("none")) {
hj.setReducerClass((Class<? extends Reducer>) Class.forName(job.reducer, true, child));
} else {
hj.setNumReduceTasks(0);
}
if ((null != job.combiner) && !job.combiner.equalsIgnoreCase("null")
&& !job.combiner.equalsIgnoreCase("none")) {
hj.setCombinerClass((Class<? extends Reducer>) Class.forName(job.combiner, true, child));
}
hj.setOutputKeyClass(Class.forName(job.outputKey, true, child));
hj.setOutputValueClass(Class.forName(job.outputValue, true, child));
hj.setJobName(job.jobtitle);
if (bLocalMode) {
hj.waitForCompletion(false);
return "local_done";
} else {
hj.submit();
String jobId = hj.getJobID().toString();
return jobId;
}
} catch (Exception e) {
e.printStackTrace();
Thread.currentThread().setContextClassLoader(savedClassLoader);
return "Error: " + HarvestExceptionUtils.createExceptionMessage(e);
} finally {
Thread.currentThread().setContextClassLoader(savedClassLoader);
}
}
From source file:com.ikanow.infinit.e.processing.custom.launcher.CustomHadoopTaskLauncher.java
License:Open Source License
@SuppressWarnings({ "unchecked", "rawtypes" })
public String runHadoopJob(CustomMapReduceJobPojo job, String tempJarLocation)
throws IOException, SAXException, ParserConfigurationException {
StringWriter xml = new StringWriter();
String outputCollection = job.outputCollectionTemp;// (non-append mode)
if ((null != job.appendResults) && job.appendResults)
outputCollection = job.outputCollection; // (append mode, write directly in....)
else if (null != job.incrementalMode)
job.incrementalMode = false; // (not allowed to be in incremental mode and not update mode)
createConfigXML(xml, job.jobtitle, job.inputCollection,
InfiniteHadoopUtils.getQueryOrProcessing(job.query, InfiniteHadoopUtils.QuerySpec.INPUTFIELDS),
job.isCustomTable, job.getOutputDatabase(), job._id.toString(), outputCollection, job.mapper,
job.reducer, job.combiner,/* w ww. j a v a 2 s . c o m*/
InfiniteHadoopUtils.getQueryOrProcessing(job.query, InfiniteHadoopUtils.QuerySpec.QUERY),
job.communityIds, job.outputKey, job.outputValue, job.arguments, job.incrementalMode,
job.submitterID, job.selfMerge, job.outputCollection, job.appendResults);
ClassLoader savedClassLoader = Thread.currentThread().getContextClassLoader();
URLClassLoader child = new URLClassLoader(new URL[] { new File(tempJarLocation).toURI().toURL() },
savedClassLoader);
Thread.currentThread().setContextClassLoader(child);
// Check version: for now, any infinit.e.data_model with an VersionTest class is acceptable
boolean dataModelLoaded = true;
try {
URLClassLoader versionTest = new URLClassLoader(new URL[] { new File(tempJarLocation).toURI().toURL() },
null);
try {
Class.forName("com.ikanow.infinit.e.data_model.custom.InfiniteMongoInputFormat", true, versionTest);
} catch (ClassNotFoundException e2) {
//(this is fine, will use the cached version)
dataModelLoaded = false;
}
if (dataModelLoaded)
Class.forName("com.ikanow.infinit.e.data_model.custom.InfiniteMongoVersionTest", true, versionTest);
} catch (ClassNotFoundException e1) {
throw new RuntimeException(
"This JAR is compiled with too old a version of the data-model, please recompile with Jan 2014 (rc2) onwards");
}
// Now load the XML into a configuration object:
Configuration config = new Configuration();
// Add the client configuration overrides:
if (!bLocalMode) {
String hadoopConfigPath = props_custom.getHadoopConfigPath() + "/hadoop/";
config.addResource(new Path(hadoopConfigPath + "core-site.xml"));
config.addResource(new Path(hadoopConfigPath + "mapred-site.xml"));
config.addResource(new Path(hadoopConfigPath + "hadoop-site.xml"));
} //TESTED
try {
DocumentBuilderFactory dbFactory = DocumentBuilderFactory.newInstance();
DocumentBuilder dBuilder = dbFactory.newDocumentBuilder();
Document doc = dBuilder.parse(new ByteArrayInputStream(xml.toString().getBytes()));
NodeList nList = doc.getElementsByTagName("property");
for (int temp = 0; temp < nList.getLength(); temp++) {
Node nNode = nList.item(temp);
if (nNode.getNodeType() == Node.ELEMENT_NODE) {
Element eElement = (Element) nNode;
String name = getTagValue("name", eElement);
String value = getTagValue("value", eElement);
if ((null != name) && (null != value)) {
config.set(name, value);
}
}
}
} catch (Exception e) {
throw new IOException(e.getMessage());
}
// Some other config defaults:
// (not sure if these are actually applied, or derived from the defaults - for some reason they don't appear in CDH's client config)
config.set("mapred.map.tasks.speculative.execution", "false");
config.set("mapred.reduce.tasks.speculative.execution", "false");
// (default security is ignored here, have it set via HADOOP_TASKTRACKER_CONF in cloudera)
// Now run the JAR file
try {
BasicDBObject advancedConfigurationDbo = null;
try {
advancedConfigurationDbo = (null != job.query)
? ((BasicDBObject) com.mongodb.util.JSON.parse(job.query))
: (new BasicDBObject());
} catch (Exception e) {
advancedConfigurationDbo = new BasicDBObject();
}
boolean esMode = advancedConfigurationDbo.containsField("qt") && !job.isCustomTable;
if (esMode && !job.inputCollection.equals("doc_metadata.metadata")) {
throw new RuntimeException(
"Infinit.e Queries are only supported on doc_metadata - use MongoDB queries instead.");
}
config.setBoolean("mapred.used.genericoptionsparser", true); // (just stops an annoying warning from appearing)
if (bLocalMode) { // local job tracker and FS mode
config.set("mapred.job.tracker", "local");
config.set("fs.default.name", "local");
} else {
if (bTestMode) { // run job tracker locally but FS mode remotely
config.set("mapred.job.tracker", "local");
} else { // normal job tracker
String trackerUrl = HadoopUtils.getXMLProperty(
props_custom.getHadoopConfigPath() + "/hadoop/mapred-site.xml", "mapred.job.tracker");
config.set("mapred.job.tracker", trackerUrl);
}
String fsUrl = HadoopUtils.getXMLProperty(
props_custom.getHadoopConfigPath() + "/hadoop/core-site.xml", "fs.default.name");
config.set("fs.default.name", fsUrl);
}
if (!dataModelLoaded && !(bTestMode || bLocalMode)) { // If running distributed and no data model loaded then add ourselves
Path jarToCache = InfiniteHadoopUtils.cacheLocalFile("/opt/infinite-home/lib/",
"infinit.e.data_model.jar", config);
DistributedCache.addFileToClassPath(jarToCache, config);
jarToCache = InfiniteHadoopUtils.cacheLocalFile("/opt/infinite-home/lib/",
"infinit.e.processing.custom.library.jar", config);
DistributedCache.addFileToClassPath(jarToCache, config);
} //TESTED
// Debug scripts (only if they exist), and only in non local/test mode
if (!bLocalMode && !bTestMode) {
try {
Path scriptToCache = InfiniteHadoopUtils.cacheLocalFile("/opt/infinite-home/scripts/",
"custom_map_error_handler.sh", config);
config.set("mapred.map.task.debug.script", "custom_map_error_handler.sh " + job.jobtitle);
config.set("mapreduce.map.debug.script", "custom_map_error_handler.sh " + job.jobtitle);
DistributedCache.createSymlink(config);
DistributedCache.addCacheFile(scriptToCache.toUri(), config);
} catch (Exception e) {
} // just carry on
try {
Path scriptToCache = InfiniteHadoopUtils.cacheLocalFile("/opt/infinite-home/scripts/",
"custom_reduce_error_handler.sh", config);
config.set("mapred.reduce.task.debug.script", "custom_reduce_error_handler.sh " + job.jobtitle);
config.set("mapreduce.reduce.debug.script", "custom_reduce_error_handler.sh " + job.jobtitle);
DistributedCache.createSymlink(config);
DistributedCache.addCacheFile(scriptToCache.toUri(), config);
} catch (Exception e) {
} // just carry on
} //TODO (???): TOTEST
// (need to do these 2 things here before the job is created, at which point the config class has been copied across)
//1)
Class<?> mapperClazz = Class.forName(job.mapper, true, child);
if (ICustomInfiniteInternalEngine.class.isAssignableFrom(mapperClazz)) { // Special case: internal custom engine, so gets an additional integration hook
ICustomInfiniteInternalEngine preActivities = (ICustomInfiniteInternalEngine) mapperClazz
.newInstance();
preActivities.preTaskActivities(job._id, job.communityIds, config, !(bTestMode || bLocalMode));
} //TESTED
//2)
if (job.inputCollection.equalsIgnoreCase("file.binary_shares")) {
// Need to download the GridFSZip file
try {
Path jarToCache = InfiniteHadoopUtils.cacheLocalFile("/opt/infinite-home/lib/unbundled/",
"GridFSZipFile.jar", config);
DistributedCache.addFileToClassPath(jarToCache, config);
} catch (Throwable t) {
} // (this is fine, will already be on the classpath .. otherwise lots of other stuff will be failing all over the place!)
}
if (job.inputCollection.equals("records")) {
InfiniteElasticsearchHadoopUtils.handleElasticsearchInput(job, config, advancedConfigurationDbo);
//(won't run under 0.19 so running with "records" should cause all sorts of exceptions)
} //TESTED (by hand)
if (bTestMode || bLocalMode) { // If running locally, turn "snappy" off - tomcat isn't pointing its native library path in the right place
config.set("mapred.map.output.compression.codec", "org.apache.hadoop.io.compress.DefaultCodec");
}
// Manually specified caches
List<URL> localJarCaches = InfiniteHadoopUtils.handleCacheList(advancedConfigurationDbo.get("$caches"),
job, config, props_custom);
Job hj = new Job(config); // (NOTE: from here, changes to config are ignored)
try {
if (null != localJarCaches) {
if (bLocalMode || bTestMode) {
Method method = URLClassLoader.class.getDeclaredMethod("addURL", new Class[] { URL.class });
method.setAccessible(true);
method.invoke(child, localJarCaches.toArray());
} //TOTEST (tested logically)
}
Class<?> classToLoad = Class.forName(job.mapper, true, child);
hj.setJarByClass(classToLoad);
if (job.inputCollection.equalsIgnoreCase("filesystem")) {
String inputPath = null;
try {
inputPath = MongoDbUtil.getProperty(advancedConfigurationDbo, "file.url");
if (!inputPath.endsWith("/")) {
inputPath = inputPath + "/";
}
} catch (Exception e) {
}
if (null == inputPath) {
throw new RuntimeException("Must specify 'file.url' if reading from filesystem.");
}
inputPath = InfiniteHadoopUtils.authenticateInputDirectory(job, inputPath);
InfiniteFileInputFormat.addInputPath(hj, new Path(inputPath + "*/*")); // (that extra bit makes it recursive)
InfiniteFileInputFormat.setMaxInputSplitSize(hj, 33554432); // (32MB)
InfiniteFileInputFormat.setInfiniteInputPathFilter(hj, config);
hj.setInputFormatClass((Class<? extends InputFormat>) Class.forName(
"com.ikanow.infinit.e.data_model.custom.InfiniteFileInputFormat", true, child));
} else if (job.inputCollection.equalsIgnoreCase("file.binary_shares")) {
String[] oidStrs = null;
try {
String inputPath = MongoDbUtil.getProperty(advancedConfigurationDbo, "file.url");
Pattern oidExtractor = Pattern.compile("inf://share/([^/]+)");
Matcher m = oidExtractor.matcher(inputPath);
if (m.find()) {
oidStrs = m.group(1).split("\\s*,\\s*");
} else {
throw new RuntimeException(
"file.url must be in format inf://share/<oid-list>/<string>: " + inputPath);
}
InfiniteHadoopUtils.authenticateShareList(job, oidStrs);
} catch (Exception e) {
throw new RuntimeException(
"Authentication error: " + e.getMessage() + ": " + advancedConfigurationDbo, e);
}
hj.getConfiguration().setStrings("mapred.input.dir", oidStrs);
hj.setInputFormatClass((Class<? extends InputFormat>) Class.forName(
"com.ikanow.infinit.e.data_model.custom.InfiniteShareInputFormat", true, child));
} else if (job.inputCollection.equals("records")) {
hj.setInputFormatClass((Class<? extends InputFormat>) Class
.forName("com.ikanow.infinit.e.data_model.custom.InfiniteEsInputFormat", true, child));
} else {
if (esMode) {
hj.setInputFormatClass((Class<? extends InputFormat>) Class.forName(
"com.ikanow.infinit.e.processing.custom.utils.InfiniteElasticsearchMongoInputFormat",
true, child));
} else {
hj.setInputFormatClass((Class<? extends InputFormat>) Class.forName(
"com.ikanow.infinit.e.data_model.custom.InfiniteMongoInputFormat", true, child));
}
}
if ((null != job.exportToHdfs) && job.exportToHdfs) {
//TODO (INF-2469): Also, if the output key is BSON then also run as text (but output as JSON?)
Path outPath = InfiniteHadoopUtils.ensureOutputDirectory(job, props_custom);
if ((null != job.outputKey) && (null != job.outputValue)
&& job.outputKey.equalsIgnoreCase("org.apache.hadoop.io.text")
&& job.outputValue.equalsIgnoreCase("org.apache.hadoop.io.text")) {
// (slight hack before I sort out the horrendous job class - if key/val both text and exporting to HDFS then output as Text)
hj.setOutputFormatClass((Class<? extends OutputFormat>) Class
.forName("org.apache.hadoop.mapreduce.lib.output.TextOutputFormat", true, child));
TextOutputFormat.setOutputPath(hj, outPath);
} //TESTED
else {
hj.setOutputFormatClass((Class<? extends OutputFormat>) Class.forName(
"org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat", true, child));
SequenceFileOutputFormat.setOutputPath(hj, outPath);
} //TESTED
} else { // normal case, stays in MongoDB
hj.setOutputFormatClass((Class<? extends OutputFormat>) Class.forName(
"com.ikanow.infinit.e.data_model.custom.InfiniteMongoOutputFormat", true, child));
}
hj.setMapperClass((Class<? extends Mapper>) mapperClazz);
String mapperOutputKeyOverride = advancedConfigurationDbo.getString("$mapper_key_class", null);
if (null != mapperOutputKeyOverride) {
hj.setMapOutputKeyClass(Class.forName(mapperOutputKeyOverride));
} //TESTED
String mapperOutputValueOverride = advancedConfigurationDbo.getString("$mapper_value_class", null);
if (null != mapperOutputValueOverride) {
hj.setMapOutputValueClass(Class.forName(mapperOutputValueOverride));
} //TESTED
if ((null != job.reducer) && !job.reducer.startsWith("#") && !job.reducer.equalsIgnoreCase("null")
&& !job.reducer.equalsIgnoreCase("none")) {
hj.setReducerClass((Class<? extends Reducer>) Class.forName(job.reducer, true, child));
// Variable reducers:
if (null != job.query) {
try {
hj.setNumReduceTasks(advancedConfigurationDbo.getInt("$reducers", 1));
} catch (Exception e) {
try {
// (just check it's not a string that is a valid int)
hj.setNumReduceTasks(
Integer.parseInt(advancedConfigurationDbo.getString("$reducers", "1")));
} catch (Exception e2) {
}
}
} //TESTED
} else {
hj.setNumReduceTasks(0);
}
if ((null != job.combiner) && !job.combiner.startsWith("#")
&& !job.combiner.equalsIgnoreCase("null") && !job.combiner.equalsIgnoreCase("none")) {
hj.setCombinerClass((Class<? extends Reducer>) Class.forName(job.combiner, true, child));
}
hj.setOutputKeyClass(Class.forName(job.outputKey, true, child));
hj.setOutputValueClass(Class.forName(job.outputValue, true, child));
hj.setJobName(job.jobtitle);
currJobName = job.jobtitle;
} catch (Error e) { // (messing about with class loaders = lots of chances for errors!)
throw new RuntimeException(e.getMessage(), e);
}
if (bTestMode || bLocalMode) {
hj.submit();
currThreadId = null;
Logger.getRootLogger().addAppender(this);
currLocalJobId = hj.getJobID().toString();
currLocalJobErrs.setLength(0);
while (!hj.isComplete()) {
Thread.sleep(1000);
}
Logger.getRootLogger().removeAppender(this);
if (hj.isSuccessful()) {
if (this.currLocalJobErrs.length() > 0) {
return "local_done: " + this.currLocalJobErrs.toString();
} else {
return "local_done";
}
} else {
return "Error: " + this.currLocalJobErrs.toString();
}
} else {
hj.submit();
String jobId = hj.getJobID().toString();
return jobId;
}
} catch (Exception e) {
e.printStackTrace();
Thread.currentThread().setContextClassLoader(savedClassLoader);
return "Error: " + InfiniteHadoopUtils.createExceptionMessage(e);
} finally {
Thread.currentThread().setContextClassLoader(savedClassLoader);
}
}
From source file:com.inmobi.databus.local.LocalStreamService.java
License:Apache License
private Job createJob(Path inputPath) throws IOException { String jobName = "localstream"; Configuration conf = cluster.getHadoopConf(); Job job = new Job(conf); job.setJobName(jobName);//from ww w .java 2 s. co m KeyValueTextInputFormat.setInputPaths(job, inputPath); job.setInputFormatClass(KeyValueTextInputFormat.class); job.setJarByClass(CopyMapper.class); job.setMapperClass(CopyMapper.class); job.setNumReduceTasks(0); job.setOutputFormatClass(NullOutputFormat.class); job.getConfiguration().set("mapred.map.tasks.speculative.execution", "false"); job.getConfiguration().set("localstream.tmp.path", tmpPath.toString()); return job; }
From source file:com.intel.hadoop.hbase.dot.KEY.java
License:Apache License
private void doMapReduce(Class<? extends InputFormat> inputFormatClass, Class<? extends Mapper> mapperClass, String mrTableName) throws IOException, ClassNotFoundException, InterruptedException { this.conf.set(KEY.INPUT_TABLE, mrTableName); Job job = new Job(this.conf); job.setJobName("Generate Data for [" + mrTableName + "]"); job.setJarByClass(GenerateTestTable.class); job.setInputFormatClass(inputFormatClass); job.setOutputKeyClass(LongWritable.class); job.setOutputValueClass(LongWritable.class); FileSystem fs = FileSystem.get(conf); Path path = new Path("/tmp", "tempout"); fs.delete(path, true);/*from w w w. ja v a 2s . co m*/ FileOutputFormat.setOutputPath(job, path); job.setMapperClass(mapperClass); job.setNumReduceTasks(0); TableMapReduceUtil.addDependencyJars(job); // Add a Class from the hbase.jar so it gets registered too. TableMapReduceUtil.addDependencyJars(job.getConfiguration(), org.apache.hadoop.hbase.util.Bytes.class); TableMapReduceUtil.initCredentials(job); job.waitForCompletion(true); }
From source file:com.intel.hadoop.hbase.dot.mapreduce.DotImportTsv.java
License:Apache License
/** * Sets up the actual job.//from w w w.j a v a 2 s .c om * * @param conf The current configuration. * @param args The command line parameters. * @return The newly created job. * @throws IOException When setting up the job fails. */ public static Job createSubmittableJob(Configuration conf, String[] args) throws IOException, ClassNotFoundException { // Support non-XML supported characters // by re-encoding the passed separator as a Base64 string. String actualSeparator = conf.get(SEPARATOR_CONF_KEY); if (actualSeparator != null) { conf.set(SEPARATOR_CONF_KEY, Base64.encodeBytes(actualSeparator.getBytes())); } // See if a non-default Mapper was set String mapperClassName = conf.get(MAPPER_CONF_KEY); Class mapperClass = mapperClassName != null ? Class.forName(mapperClassName) : DEFAULT_MAPPER; String tableName = args[0]; Path inputDir = new Path(args[1]); Job job = new Job(conf, NAME + "_" + tableName); job.setJarByClass(mapperClass); FileInputFormat.setInputPaths(job, inputDir); job.setInputFormatClass(TextInputFormat.class); job.setMapperClass(mapperClass); String hfileOutPath = conf.get(BULK_OUTPUT_CONF_KEY); if (hfileOutPath != null) { if (!doesTableExist(tableName)) { createTable(conf, tableName); } HTable table = new HTable(conf, tableName); job.setReducerClass(PutSortReducer.class); Path outputDir = new Path(hfileOutPath); FileOutputFormat.setOutputPath(job, outputDir); job.setMapOutputKeyClass(ImmutableBytesWritable.class); job.setMapOutputValueClass(Put.class); HFileOutputFormat.configureIncrementalLoad(job, table); } else { // No reducers. Just write straight to table. Call initTableReducerJob // to set up the TableOutputFormat. TableMapReduceUtil.initTableReducerJob(tableName, null, job); job.setNumReduceTasks(0); } TableMapReduceUtil.addDependencyJars(job); TableMapReduceUtil.addDependencyJars(job.getConfiguration(), com.google.common.base.Function.class /* Guava used by TsvParser */); return job; }
From source file:com.intel.hibench.DFSIOWriter.java
License:Apache License
@Override public void beforeSubmit(MapReduceContext context) throws Exception { startTime = System.currentTimeMillis(); benchData.put(new Put(ONE, ONE, startTime)); Job job = context.getHadoopJob(); job.setInputFormatClass(RandomInputFormat.class); job.setMapperClass(Generator.class); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(Text.class); job.setNumReduceTasks(0); String sizeStr = context.getRuntimeArguments().get("size"); if (sizeStr != null) { LOG.info("size we get in config is : " + sizeStr); long totalBytes = Long.valueOf(sizeStr) * 1024 * 1024; job.getConfiguration().setLong(BENCH_SIZE, totalBytes); benchData.put(new Put(ONE, THREE, totalBytes)); }/*from w ww. j a va 2 s . co m*/ }
From source file:com.intel.hibench.WordCount.java
License:Apache License
@Override public void beforeSubmit(MapReduceContext context) throws Exception { startTime = System.currentTimeMillis(); benchData.put(new Put(ONE, ONE, startTime)); Job job = context.getHadoopJob(); job.setMapperClass(Tokenizer.class); job.setReducerClass(Counter.class); job.setNumReduceTasks(1); }