public int run(String[] args) throws Exception {
if (args.length != 5) {
printUsage();
return -1;
}
String inputPath = args[0];
String outputPath = args[1];
int mapTasks = Integer.parseInt(args[2]);
int reduceTasks = Integer.parseInt(args[3]);
String stoplistPath = args[4];
sLogger.info("Tool: AFormatter");
sLogger.info(" - input path: " + inputPath);
sLogger.info(" - output path: " + outputPath);
sLogger.info(" - number of mappers: " + mapTasks);
sLogger.info(" - number of reducers: " + reduceTasks);
JobConf conf = new JobConf(AFormatterWG.class);
conf.setJobName("Authority Formatter -- Web Graph");
conf.setNumMapTasks(mapTasks);
conf.setNumReduceTasks(reduceTasks);
FileInputFormat.setInputPaths(conf, new Path(inputPath));
FileOutputFormat.setOutputPath(conf, new Path(outputPath));
FileOutputFormat.setCompressOutput(conf, false);
// conf.setInputFormat(SequenceFileInputFormat.class);
conf.setOutputKeyClass(IntWritable.class);
conf.setOutputValueClass(HITSNode.class);
conf.setOutputFormat(SequenceFileOutputFormat.class);
conf.setCompressMapOutput(true);
conf.setSpeculativeExecution(false);
// InputSampler.Sampler<IntWritable, Text> sampler = new
// InputSampler.RandomSampler<IntWritable, Text>(0.1, 10, 10);
// InputSampler.writePartitionFile(conf, sampler);
// conf.setPartitionerClass(TotalOrderPartitioner.class);
conf.setMapperClass(AFormatMapperIMC.class);
conf.setCombinerClass(AFormatReducer.class);
conf.setReducerClass(AFormatReducer.class);
// Delete the output directory if it exists already
Path outputDir = new Path(outputPath);
Path stopList = new Path(stoplistPath);
FileSystem.get(conf).delete(outputDir, true);
long startTime = System.currentTimeMillis();
sLogger.info("Starting job");
DistributedCache.addCacheFile(stopList.toUri(), conf);
JobClient.runJob(conf);
sLogger.info(
"Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds");
return 0;
}
/**
* This method call when injected into a class will modify the output path, only if output is into
* HDFS
*
* @param job Job whose output path need to be changed
*/
public static void modifyOutputPath(JobConf job) {
Path path = org.apache.hadoop.mapred.FileOutputFormat.getOutputPath(job);
if (path == null) {
throw new IllegalArgumentException("Job Output path is null, expecting not null path value");
}
StringBuilder out = new StringBuilder(path.toString());
out.append(SEPARATOR_UNDERSCORE).append(System.currentTimeMillis());
org.apache.hadoop.mapred.FileOutputFormat.setOutputPath(job, new Path(out.toString()));
}
public int run(String[] args) throws Exception {
if (args.length < 2) {
printUsage();
return 1;
}
JobConf job = new JobConf(getConf(), MultiFileWordCount.class);
job.setJobName("MultiFileWordCount");
// set the InputFormat of the job to our InputFormat
job.setInputFormat(MyInputFormat.class);
// the keys are words (strings)
job.setOutputKeyClass(Text.class);
// the values are counts (ints)
job.setOutputValueClass(IntWritable.class);
// use the defined mapper
job.setMapperClass(MapClass.class);
// use the WordCount Reducer
job.setCombinerClass(LongSumReducer.class);
job.setReducerClass(LongSumReducer.class);
FileInputFormat.addInputPaths(job, args[0]);
FileOutputFormat.setOutputPath(job, new Path(args[1]));
JobClient.runJob(job);
return 0;
}
public static void htableFile() throws Exception {
Job job = new Job(conf, "ExampleSummaryToFile");
job.setJarByClass(HbaseMR.class); // class that contains mapper
Scan scan = new Scan();
scan.setCaching(500); // 1 is the default in Scan, which will be bad for
// MapReduce jobs
scan.setCacheBlocks(false); // don't set to true for MR jobs
// set other scan attrs
TableMapReduceUtil.initTableMapperJob(
"sourceTable", // input table
scan, // Scan instance to control CF and attribute selection
MyMapper.class, // mapper class
Text.class, // mapper output key
IntWritable.class, // mapper output value
job);
job.setReducerClass(MyReducer4.class); // reducer class
job.setNumReduceTasks(1); // at least one, adjust as required
FileOutputFormat.setOutputPath(new JobConf(conf), new Path("/tmp/mr/mySummaryFile")); // adjust
// directories
// as
// required
boolean b = job.waitForCompletion(true);
if (!b) {
throw new IOException("error with job!");
}
}
@Override
public int run(String[] args) throws Exception {
JobConf conf = new JobConf(getConf(), getClass());
conf.setJobName("UFO count");
String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
if (otherArgs.length != 2) {
System.err.println("Usage: avro UFO counter <in> <out>");
System.exit(2);
}
FileInputFormat.addInputPath(conf, new Path(otherArgs[0]));
Path outputPath = new Path(otherArgs[1]);
FileOutputFormat.setOutputPath(conf, outputPath);
outputPath.getFileSystem(conf).delete(outputPath);
Schema input_schema = Schema.parse(getClass().getResourceAsStream("ufo.avsc"));
AvroJob.setInputSchema(conf, input_schema);
AvroJob.setMapOutputSchema(
conf,
Pair.getPairSchema(Schema.create(Schema.Type.STRING), Schema.create(Schema.Type.LONG)));
AvroJob.setOutputSchema(conf, OUTPUT_SCHEMA);
AvroJob.setMapperClass(conf, AvroRecordMapper.class);
AvroJob.setReducerClass(conf, AvroRecordReducer.class);
conf.setInputFormat(AvroInputFormat.class);
JobClient.runJob(conf);
return 0;
}
/**
* Run the job
*
* @param params The Job parameters containing the gramSize, input output folders, defaultCat,
* encoding
*/
public static void runJob(Parameters params) throws IOException {
Configurable client = new JobClient();
JobConf conf = new JobConf(BayesClassifierDriver.class);
conf.setJobName("Bayes Classifier Driver running over input: " + params.get("testDirPath"));
conf.setOutputKeyClass(StringTuple.class);
conf.setOutputValueClass(DoubleWritable.class);
FileInputFormat.setInputPaths(conf, new Path(params.get("testDirPath")));
Path outPath = new Path(params.get("testDirPath") + "-output");
FileOutputFormat.setOutputPath(conf, outPath);
conf.setInputFormat(KeyValueTextInputFormat.class);
conf.setMapperClass(BayesClassifierMapper.class);
conf.setCombinerClass(BayesClassifierReducer.class);
conf.setReducerClass(BayesClassifierReducer.class);
conf.setOutputFormat(SequenceFileOutputFormat.class);
conf.set(
"io.serializations",
"org.apache.hadoop.io.serializer.JavaSerialization,"
+ "org.apache.hadoop.io.serializer.WritableSerialization");
HadoopUtil.overwriteOutput(outPath);
conf.set("bayes.parameters", params.toString());
client.setConf(conf);
JobClient.runJob(conf);
Path outputFiles = new Path(outPath, "part*");
FileSystem dfs = FileSystem.get(outPath.toUri(), conf);
ConfusionMatrix matrix = readResult(dfs, outputFiles, conf, params);
log.info("{}", matrix.summarize());
}
public RunningJob run(String inputPath, String outputPath) throws Exception {
sLogger.info("Tool name: Compressible");
sLogger.info(" - input: " + inputPath);
sLogger.info(" - output: " + outputPath);
// JobConf conf = new JobConf(Stats.class);
JobConf conf = new JobConf(Compressible.class);
conf.setJobName("Compressible " + inputPath);
BrushConfig.initializeConfiguration(conf);
FileInputFormat.addInputPath(conf, new Path(inputPath));
FileOutputFormat.setOutputPath(conf, new Path(outputPath));
conf.setInputFormat(TextInputFormat.class);
conf.setOutputFormat(TextOutputFormat.class);
conf.setMapOutputKeyClass(Text.class);
conf.setMapOutputValueClass(Text.class);
conf.setOutputKeyClass(Text.class);
conf.setOutputValueClass(Text.class);
conf.setMapperClass(CompressibleMapper.class);
conf.setReducerClass(CompressibleReducer.class);
// delete the output directory if it exists already
FileSystem.get(conf).delete(new Path(outputPath), true);
return JobClient.runJob(conf);
}
public static void main(String[] args) throws Exception {
String dir1 = "/user/miyuru/wcout";
String dir2 = "/user/miyuru/notinverts";
// We first delete the temporary directories if they exist on the HDFS
FileSystem fs1 = FileSystem.get(new JobConf());
if (fs1.exists(new Path(dir2))) {
fs1.delete(new Path(dir2), true);
}
JobConf conf = new JobConf();
conf.setNumMapTasks(96);
conf.setOutputKeyClass(LongWritable.class);
conf.setOutputValueClass(LongWritable.class);
conf.setMapperClass(TokenizerMapper.class);
conf.setReducerClass(IntSumReducer.class);
conf.setCombinerClass(IntSumReducer.class);
conf.setInputFormat(NLinesInputFormat.class);
conf.setOutputFormat(TextOutputFormat.class);
FileInputFormat.setInputPaths(conf, new Path(dir1));
FileOutputFormat.setOutputPath(conf, new Path(dir2));
Job job = new Job(conf, "NotInFinder");
job.setJarByClass(WordCount.class);
// job.setMapperClass(TokenizerMapper.class);
// job.setCombinerClass(IntSumReducer.class);
// job.setReducerClass(IntSumReducer.class);
// job.setOutputKeyClass(LongWritable.class);
// job.setOutputValueClass(LongWritable.class);
job.setSortComparatorClass(SortComparator.class);
job.waitForCompletion(true);
}
/**
* {@inheritDoc}
*
* @see org.apache.hadoop.util.Tool#run(java.lang.String[])
*/
@Override
public int run(String[] args) throws Exception {
JobConf configuration = new JobConf(getConf(), WordCountExtended.class);
configuration.setJobName(JOB_NAME);
configuration.setOutputKeyClass(Text.class);
configuration.setOutputValueClass(IntWritable.class);
configuration.setMapperClass(Map.class);
configuration.setCombinerClass(Reduce.class);
configuration.setReducerClass(Reduce.class);
configuration.setInputFormat(TextInputFormat.class);
configuration.setOutputFormat(TextOutputFormat.class);
List<String> otherArgs = new ArrayList<String>();
for (int i = 0; i < args.length; ++i) {
if (JOB_SKIP_ARGUMENT.equals(args[i])) {
DistributedCache.addCacheFile(new Path(args[++i]).toUri(), configuration);
configuration.setBoolean(JOB_PARAMETER_SKIP_PATTERNS, true);
} else {
otherArgs.add(args[i]);
}
}
FileInputFormat.setInputPaths(configuration, new Path(otherArgs.get(0)));
FileOutputFormat.setOutputPath(configuration, new Path(otherArgs.get(1)));
JobClient.runJob(configuration);
return 0;
}
public static void main(String[] args) throws Exception {
String input = "hdfs://centos:9000/access.log.10";
String output = "hdfs://centos:9000/out_kpitime";
JobConf conf = new JobConf(KPITime.class);
conf.setJobName("KPITime");
// conf.addResource("classpath:/hadoop/core-site.xml");
// conf.addResource("classpath:/hadoop/hdfs-site.xml");
// conf.addResource("classpath:/hadoop/mapred-site.xml");
conf.setOutputKeyClass(Text.class);
conf.setOutputValueClass(IntWritable.class);
conf.setMapperClass(KPITimeMapper.class);
conf.setCombinerClass(KPITimeReducer.class);
conf.setReducerClass(KPITimeReducer.class);
conf.setInputFormat(TextInputFormat.class);
conf.setOutputFormat(TextOutputFormat.class);
FileInputFormat.setInputPaths(conf, new Path(input));
FileOutputFormat.setOutputPath(conf, new Path(output));
JobClient.runJob(conf);
System.exit(0);
}
public void runParseTest(
String fieldTerminator,
String lineTerminator,
String encloser,
String escape,
boolean encloseRequired)
throws IOException {
ClassLoader prevClassLoader = null;
String[] argv =
getArgv(true, fieldTerminator, lineTerminator, encloser, escape, encloseRequired);
runImport(argv);
try {
String tableClassName = getTableName();
argv = getArgv(false, fieldTerminator, lineTerminator, encloser, escape, encloseRequired);
SqoopOptions opts = new ImportTool().parseArguments(argv, null, null, true);
CompilationManager compileMgr = new CompilationManager(opts);
String jarFileName = compileMgr.getJarFilename();
// Make sure the user's class is loaded into our address space.
prevClassLoader = ClassLoaderStack.addJarFile(jarFileName, tableClassName);
JobConf job = new JobConf();
job.setJar(jarFileName);
// Tell the job what class we're testing.
job.set(ReparseMapper.USER_TYPE_NAME_KEY, tableClassName);
// use local mode in the same JVM.
ConfigurationHelper.setJobtrackerAddr(job, "local");
if (!BaseSqoopTestCase.isOnPhysicalCluster()) {
job.set(CommonArgs.FS_DEFAULT_NAME, CommonArgs.LOCAL_FS);
}
String warehouseDir = getWarehouseDir();
Path warehousePath = new Path(warehouseDir);
Path inputPath = new Path(warehousePath, getTableName());
Path outputPath = new Path(warehousePath, getTableName() + "-out");
job.setMapperClass(ReparseMapper.class);
job.setNumReduceTasks(0);
FileInputFormat.addInputPath(job, inputPath);
FileOutputFormat.setOutputPath(job, outputPath);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(NullWritable.class);
JobClient.runJob(job);
} catch (InvalidOptionsException ioe) {
fail(ioe.toString());
} catch (ParseException pe) {
fail(pe.toString());
} finally {
if (null != prevClassLoader) {
ClassLoaderStack.setCurrentClassLoader(prevClassLoader);
}
}
}
public static void run(Map<String, String> path) throws IOException {
JobConf conf = Recommend.config();
String input = path.get("Step2Input");
String output = path.get("Step2Output");
HdfsDAO hdfs = new HdfsDAO(Recommend.HDFS, conf);
hdfs.rmr(output);
conf.setOutputKeyClass(Text.class);
conf.setOutputValueClass(IntWritable.class);
conf.setMapperClass(Step2_UserVectorToCooccurrenceMapper.class);
// conf.setCombinerClass(Step2_UserVectorToConoccurrenceReducer.class);
// conf.setReducerClass(Step2_UserVectorToConoccurrenceReducer.class);
conf.setInputFormat(TextInputFormat.class);
conf.setOutputFormat(TextOutputFormat.class);
FileInputFormat.setInputPaths(conf, new Path(input));
FileOutputFormat.setOutputPath(conf, new Path(output));
RunningJob job = JobClient.runJob(conf);
while (!job.isComplete()) {
job.waitForCompletion();
}
}
public static void main(String[] args) throws Exception {
String input = "hdfs://192.168.0.110:9000/input/access.log";
String output = "hdfs://192.168.0.110:9000/user/hdfs/pv";
JobConf conf = new JobConf(KPIPV.class);
conf.setJobName("KPIPV");
conf.setMapOutputKeyClass(Text.class);
conf.setMapOutputValueClass(IntWritable.class);
conf.setOutputKeyClass(Text.class);
conf.setOutputValueClass(IntWritable.class);
conf.setMapperClass(KPIPVMapper.class);
conf.setCombinerClass(KPIPVReducer.class);
conf.setReducerClass(KPIPVReducer.class);
conf.setInputFormat(TextInputFormat.class);
conf.setOutputFormat(TextOutputFormat.class);
FileInputFormat.setInputPaths(conf, new Path(input));
FileOutputFormat.setOutputPath(conf, new Path(output));
JobClient.runJob(conf);
System.exit(0);
}
public RunningJob run(String inputPath, String outputPath) throws Exception {
sLogger.info("Tool name: BuildGraph");
sLogger.info(" - input: " + inputPath);
sLogger.info(" - output: " + outputPath);
JobConf conf = new JobConf(BuildGraph.class);
conf.setJobName("BuildGraph " + inputPath + " " + ContrailConfig.K);
ContrailConfig.initializeConfiguration(conf);
FileInputFormat.addInputPath(conf, new Path(inputPath));
FileOutputFormat.setOutputPath(conf, new Path(outputPath));
conf.setInputFormat(TextInputFormat.class);
conf.setOutputFormat(TextOutputFormat.class);
conf.setMapOutputKeyClass(Text.class);
conf.setMapOutputValueClass(Text.class);
conf.setOutputKeyClass(Text.class);
conf.setOutputValueClass(Text.class);
conf.setMapperClass(BuildGraphMapper.class);
conf.setReducerClass(BuildGraphReducer.class);
// delete the output directory if it exists already
FileSystem.get(conf).delete(new Path(outputPath), true);
return JobClient.runJob(conf);
}
/**
* Configure the job
*
* @param conf Job to configure
* @param rules classification rules to evaluate
* @param target label value to evaluate the rules for
* @param inpath input path (the dataset)
* @param outpath output <code>Path</code>
* @param split DatasetSplit used to separate training and testing input
*/
private static void configureJob(
JobConf conf,
List<? extends Rule> rules,
int target,
Path inpath,
Path outpath,
DatasetSplit split) {
split.storeJobParameters(conf);
FileInputFormat.setInputPaths(conf, inpath);
FileOutputFormat.setOutputPath(conf, outpath);
conf.setOutputKeyClass(LongWritable.class);
conf.setOutputValueClass(CDFitness.class);
conf.setMapperClass(CDMapper.class);
conf.setCombinerClass(CDReducer.class);
conf.setReducerClass(CDReducer.class);
conf.setInputFormat(DatasetTextInputFormat.class);
conf.setOutputFormat(SequenceFileOutputFormat.class);
// store the parameters
conf.set(CDMapper.CLASSDISCOVERY_RULES, StringUtils.toString(rules));
conf.set(CDMapper.CLASSDISCOVERY_DATASET, StringUtils.toString(DataSet.getDataSet()));
conf.setInt(CDMapper.CLASSDISCOVERY_TARGET_LABEL, target);
}
/**
* set up input file which has the list of input files.
*
* @return boolean
* @throws IOException
*/
private boolean setup() throws IOException {
estimateSavings();
final String randomId = getRandomId();
JobClient jClient = new JobClient(jobconf);
Path jobdir = new Path(jClient.getSystemDir(), NAME + "_" + randomId);
LOG.info(JOB_DIR_LABEL + "=" + jobdir);
jobconf.set(JOB_DIR_LABEL, jobdir.toString());
Path log = new Path(jobdir, "_logs");
// The control file should have small size blocks. This helps
// in spreading out the load from mappers that will be spawned.
jobconf.setInt("dfs.blocks.size", OP_LIST_BLOCK_SIZE);
FileOutputFormat.setOutputPath(jobconf, log);
LOG.info("log=" + log);
// create operation list
FileSystem fs = jobdir.getFileSystem(jobconf);
Path opList = new Path(jobdir, "_" + OP_LIST_LABEL);
jobconf.set(OP_LIST_LABEL, opList.toString());
int opCount = 0, synCount = 0;
SequenceFile.Writer opWriter = null;
try {
opWriter =
SequenceFile.createWriter(
fs, jobconf, opList, Text.class, PolicyInfo.class, SequenceFile.CompressionType.NONE);
for (RaidPolicyPathPair p : raidPolicyPathPairList) {
// If a large set of files are Raided for the first time, files
// in the same directory that tend to have the same size will end up
// with the same map. This shuffle mixes things up, allowing a better
// mix of files.
java.util.Collections.shuffle(p.srcPaths);
for (FileStatus st : p.srcPaths) {
opWriter.append(new Text(st.getPath().toString()), p.policy);
opCount++;
if (++synCount > SYNC_FILE_MAX) {
opWriter.sync();
synCount = 0;
}
}
}
} finally {
if (opWriter != null) {
opWriter.close();
}
fs.setReplication(opList, OP_LIST_REPLICATION); // increase replication for control file
}
raidPolicyPathPairList.clear();
jobconf.setInt(OP_COUNT_LABEL, opCount);
LOG.info("Number of files=" + opCount);
jobconf.setNumMapTasks(
getMapCount(opCount, new JobClient(jobconf).getClusterStatus().getTaskTrackers()));
LOG.info("jobName= " + jobName + " numMapTasks=" + jobconf.getNumMapTasks());
return opCount != 0;
}
public RunningJob run(String inputPath, String outputPath) throws Exception {
JobConf conf = new JobConf(BuildIndex.class);
conf.setJobName("BuildIndex");
FileInputFormat.addInputPath(conf, new Path(inputPath)); // multiple path
FileOutputFormat.setOutputPath(conf, new Path(outputPath));
conf.setOutputFormat(TextOutputFormat.class);
conf.setMapOutputKeyClass(LongWritable.class);
conf.setMapOutputValueClass(LongWritable.class);
conf.set("delim", delim);
conf.setOutputKeyClass(LongWritable.class);
conf.setOutputValueClass(LongWritable.class);
conf.setInt("keyFieldIndexTwo", keyFieldIndexTwo);
conf.setMapperClass(BuildIndexMapper.class);
conf.setNumReduceTasks(1);
conf.setReducerClass(BuildIndexReducer.class);
conf.setInputFormat(TextInputFormat.class);
// conf.setInputFormat(CustomInputFormat.class);
// FileOutputFormat.setCompressOutput(conf,true);
// delete the output directory if it exists already
FileSystem.get(conf).delete(new Path(outputPath), true);
return JobClient.runJob(conf);
}
public static void runJob(String[] args) {
JobConf conf = new JobConf(CassandraBulkLoader.class);
if (args.length >= 4) {
conf.setNumReduceTasks(new Integer(args[3]));
}
try {
// We store the cassandra storage-conf.xml on the HDFS cluster
DistributedCache.addCacheFile(new URI("/cassandra/storage-conf.xml#storage-conf.xml"), conf);
} catch (URISyntaxException e) {
throw new RuntimeException(e);
}
conf.setInputFormat(KeyValueTextInputFormat.class);
conf.setJobName("CassandraBulkLoader_v2");
conf.setMapperClass(Map.class);
conf.setReducerClass(Reduce.class);
conf.setOutputKeyClass(Text.class);
conf.setOutputValueClass(Text.class);
FileInputFormat.setInputPaths(conf, new Path(args[1]));
FileOutputFormat.setOutputPath(conf, new Path(args[2]));
try {
JobClient.runJob(conf);
} catch (IOException e) {
throw new RuntimeException(e);
}
}
@Override
public int run(String[] args) throws Exception {
if (args.length != 2) {
System.err.printf(
"Usage: %s [generic options] <input> <output>\n", getClass().getSimpleName());
ToolRunner.printGenericCommandUsage(System.err);
return -1;
}
JobConf conf = new JobConf(getConf(), getClass());
conf.setJobName("Max temperature");
FileInputFormat.addInputPath(conf, new Path(args[0]));
FileOutputFormat.setOutputPath(conf, new Path(args[1]));
conf.setOutputKeyClass(Text.class);
conf.setOutputValueClass(IntWritable.class);
conf.setMapperClass(MaxTemperatureMapper.class);
conf.setCombinerClass(MaxTemperatureReducer.class);
conf.setReducerClass(MaxTemperatureReducer.class);
// vv MaxTemperatureDriverV6
conf.setProfileEnabled(true);
conf.setProfileParams(
"-agentlib:hprof=cpu=samples,heap=sites,depth=6," + "force=n,thread=y,verbose=n,file=%s");
conf.setProfileTaskRange(true, "0-2");
// ^^ MaxTemperatureDriverV6
JobClient.runJob(conf);
return 0;
}
public static void runSortJob(String... args) throws Exception {
Path input = new Path(args[0]);
Path output = new Path(args[1]);
JobConf job = new JobConf();
job.setNumReduceTasks(2);
job.setInputFormat(KeyValueTextInputFormat.class);
job.setOutputFormat(TextOutputFormat.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(Text.class);
FileInputFormat.setInputPaths(job, input);
FileOutputFormat.setOutputPath(job, output);
job.setJarByClass(SampleJob.class);
output.getFileSystem(job).delete(output, true);
JobClient jc = new JobClient(job);
JobClient.setTaskOutputFilter(job, JobClient.TaskStatusFilter.ALL);
RunningJob rj = jc.submitJob(job);
try {
if (!jc.monitorAndPrintJob(job, rj)) {
System.out.println("Job Failed: " + rj.getFailureInfo());
throw new IOException("Job failed!");
}
} catch (InterruptedException ie) {
Thread.currentThread().interrupt();
}
}
/**
* Generate the requested number of file splits, with the filename set to the filename of the
* output file.
*/
public InputSplit[] getSplits(JobConf job, int numSplits) throws IOException {
/** 设置输入分片的个数* */
JobClient client = new JobClient(job);
ClusterStatus cluster = client.getClusterStatus();
/** 如果属性不存在 则返回默认的值 * */
int numMapsPerHost = job.getInt("test.randomwriter.maps_per_host", 10);
long numBytesToWritePerMap =
job.getLong("test.randomwrite.bytes_per_map", 1 * 1024 * 1024 * 1024);
if (numBytesToWritePerMap == 0) {
System.err.println("Cannot have test.randomwrite.bytes_per_map set to 0");
}
long totalBytesToWrite =
job.getLong(
"test.randomwrite.total_bytes",
numMapsPerHost * numBytesToWritePerMap * cluster.getTaskTrackers());
int numMaps = (int) (totalBytesToWrite / numBytesToWritePerMap);
if (numMaps == 0 && totalBytesToWrite > 0) {
numMaps = 1;
}
System.out.println("numMaps-------" + numMaps);
InputSplit[] result = new InputSplit[numMaps];
Path outDir = FileOutputFormat.getOutputPath(job);
for (int i = 0; i < result.length; ++i) {
result[i] = new FileSplit(new Path(outDir, "dummy-split-" + i), 0, 1, (String[]) null);
}
return result;
}
public void inject(Path crawlDb, Path urlDir) throws IOException {
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
long start = System.currentTimeMillis();
if (LOG.isInfoEnabled()) {
LOG.info("Injector: starting at " + sdf.format(start));
LOG.info("Injector: crawlDb: " + crawlDb);
LOG.info("Injector: urlDir: " + urlDir);
}
Path tempDir =
new Path(
getConf().get("mapred.temp.dir", ".")
+ "/inject-temp-"
+ Integer.toString(new Random().nextInt(Integer.MAX_VALUE)));
// map text input file to a <url,CrawlDatum> file
if (LOG.isInfoEnabled()) {
LOG.info("Injector: Converting injected urls to crawl db entries.");
}
JobConf sortJob = new NutchJob(getConf());
sortJob.setJobName("inject " + urlDir);
FileInputFormat.addInputPath(sortJob, urlDir);
sortJob.setMapperClass(InjectMapper.class);
FileOutputFormat.setOutputPath(sortJob, tempDir);
sortJob.setOutputFormat(SequenceFileOutputFormat.class);
sortJob.setOutputKeyClass(Text.class);
sortJob.setOutputValueClass(CrawlDatum.class);
sortJob.setLong("injector.current.time", System.currentTimeMillis());
RunningJob mapJob = JobClient.runJob(sortJob);
long urlsInjected = mapJob.getCounters().findCounter("injector", "urls_injected").getValue();
long urlsFiltered = mapJob.getCounters().findCounter("injector", "urls_filtered").getValue();
LOG.info("Injector: total number of urls rejected by filters: " + urlsFiltered);
LOG.info(
"Injector: total number of urls injected after normalization and filtering: "
+ urlsInjected);
// merge with existing crawl db
if (LOG.isInfoEnabled()) {
LOG.info("Injector: Merging injected urls into crawl db.");
}
JobConf mergeJob = CrawlDb.createJob(getConf(), crawlDb);
FileInputFormat.addInputPath(mergeJob, tempDir);
mergeJob.setReducerClass(InjectReducer.class);
JobClient.runJob(mergeJob);
CrawlDb.install(mergeJob, crawlDb);
// clean up
FileSystem fs = FileSystem.get(getConf());
fs.delete(tempDir, true);
long end = System.currentTimeMillis();
LOG.info(
"Injector: finished at "
+ sdf.format(end)
+ ", elapsed: "
+ TimingUtil.elapsedTime(start, end));
}
/**
* The main driver for word count map/reduce program. Invoke this method to submit the map/reduce
* job.
*
* @throws IOException When there is communication problems with the job tracker.
*/
public int run(String[] args) throws Exception {
JobConf conf = new JobConf(getConf(), WordCountSeqOutput.class);
conf.setJobName("wordcount_seqOF");
conf.setMapOutputKeyClass(Text.class);
conf.setMapOutputValueClass(IntWritable.class);
// the keys are words (strings)
conf.setOutputKeyClass(Text.class);
// the values are counts (ints)
// conf.setOutputValueClass(IntWritable.class);
conf.setOutputValueClass(Text.class);
conf.setMapperClass(MapClass.class);
conf.setCombinerClass(Combiner.class);
conf.setReducerClass(Reduce.class);
conf.setOutputFormat(SequenceFileOutputFormat.class);
// // compress Mapper output
// conf.setCompressMapOutput(true);
// conf.setMapOutputCompressorClass(org.apache.hadoop.io.compress.GzipCodec.class);
// compress final output
conf.set("mapred.output.compress", conf.get("mapred.output.compress", "true"));
conf.set("mapred.output.compression.type", conf.get("mapred.output.compression.type", "BLOCK"));
conf.set(
"mapred.output.compression.codec",
conf.get("mapred.output.compression.codec", "org.apache.hadoop.io.compress.GzipCodec"));
List<String> other_args = new ArrayList<String>();
for (int i = 0; i < args.length; ++i) {
try {
if ("-m".equals(args[i])) {
conf.setNumMapTasks(Integer.parseInt(args[++i]));
} else if ("-r".equals(args[i])) {
conf.setNumReduceTasks(Integer.parseInt(args[++i]));
} else {
other_args.add(args[i]);
}
} catch (NumberFormatException except) {
System.out.println("ERROR: Integer expected instead of " + args[i]);
return printUsage();
} catch (ArrayIndexOutOfBoundsException except) {
System.out.println("ERROR: Required parameter missing from " + args[i - 1]);
return printUsage();
}
}
// Make sure there are exactly 2 parameters left.
if (other_args.size() != 2) {
System.out.println(
"ERROR: Wrong number of parameters: " + other_args.size() + " instead of 2.");
return printUsage();
}
FileInputFormat.setInputPaths(conf, other_args.get(0));
FileOutputFormat.setOutputPath(conf, new Path(other_args.get(1)));
JobClient.runJob(conf);
return 0;
}
/**
* This is the main routine for launching a distributed random write job. It runs 10 maps/node and
* each node writes 1 gig of data to a DFS file. The reduce doesn't do anything.
*
* @throws IOException
*/
public int run(String[] args) throws Exception {
if (args.length == 0) {
System.out.println("Usage: writer <out-dir>");
ToolRunner.printGenericCommandUsage(System.out);
return -1;
}
Path outDir = new Path(args[0]);
JobConf job = new JobConf(getConf());
job.setJarByClass(RandomWriter.class);
job.setJobName("random-writer");
FileOutputFormat.setOutputPath(job, outDir);
job.setOutputKeyClass(BytesWritable.class);
job.setOutputValueClass(BytesWritable.class);
job.setInputFormat(RandomInputFormat.class);
job.setMapperClass(Map.class);
job.setReducerClass(IdentityReducer.class);
job.setOutputFormat(SequenceFileOutputFormat.class);
JobClient client = new JobClient(job);
ClusterStatus cluster = client.getClusterStatus();
/** 如果属性不存在 则返回默认的值 * */
int numMapsPerHost = job.getInt("test.randomwriter.maps_per_host", 10);
long numBytesToWritePerMap =
job.getLong("test.randomwrite.bytes_per_map", 1 * 1024 * 1024 * 1024);
if (numBytesToWritePerMap == 0) {
System.err.println("Cannot have test.randomwrite.bytes_per_map set to 0");
return -2;
}
long totalBytesToWrite =
job.getLong(
"test.randomwrite.total_bytes",
numMapsPerHost * numBytesToWritePerMap * cluster.getTaskTrackers());
int numMaps = (int) (totalBytesToWrite / numBytesToWritePerMap);
if (numMaps == 0 && totalBytesToWrite > 0) {
numMaps = 1;
job.setLong("test.randomwrite.bytes_per_map", totalBytesToWrite);
}
job.setNumMapTasks(numMaps);
/** 建议型的 * */
System.out.println("Running " + numMaps + " maps.");
// reducer NONE
job.setNumReduceTasks(0);
Date startTime = new Date();
System.out.println("Job started: " + startTime);
JobClient.runJob(job);
Date endTime = new Date();
System.out.println("Job ended: " + endTime);
System.out.println(
"The job took " + (endTime.getTime() - startTime.getTime()) / 1000 + " seconds.");
return 0;
}
/* (non-Javadoc)
* @see org.apache.hadoop.chukwa.analysis.HiTune.AnalysisProcessor#run()
*/
@Override
public void run() {
// TODO Auto-generated method stub
long timestamp = System.currentTimeMillis();
JobConf conf = new JobConf(this.conf, InstrumentDataflow.class);
try {
conf.setJobName(this.getClass().getSimpleName() + timestamp);
conf.setInputFormat(MultiSequenceFileInputFormat.class);
conf.setMapperClass(InstrumentDataflow.MapClass.class);
conf.setReducerClass(InstrumentDataflow.ReduceClass.class);
conf.setOutputKeyClass(Text.class);
Class<? extends WritableComparable> outputKeyClass =
Class.forName(conf.get(AnalysisProcessorConfiguration.mapoutputKeyClass))
.asSubclass(WritableComparable.class);
Class<? extends Writable> outputValueClass =
Class.forName(conf.get(AnalysisProcessorConfiguration.mapoutputValueClass))
.asSubclass(Writable.class);
conf.setMapOutputKeyClass(outputKeyClass);
conf.setMapOutputValueClass(outputValueClass);
conf.setOutputValueClass(TextArrayWritable.class);
conf.setOutputFormat(CSVFileOutputFormat.class);
String outputPaths =
conf.get(AnalysisProcessorConfiguration.reportfolder)
+ "/"
+ conf.get(AnalysisProcessorConfiguration.reportfile);
String temp_outputPaths = getTempOutputDir(outputPaths);
if (this.inputfiles != null) {
log.debug("inputPaths:" + inputfiles);
FileInputFormat.setInputPaths(conf, inputfiles);
FileOutputFormat.setOutputPath(conf, new Path(temp_outputPaths));
// FileInputFormat.setInputPathFilter(conf, evtFileFilter.class);
// conf.setNumReduceTasks(1);
try {
JobClient.runJob(conf);
moveResults(conf, outputPaths, temp_outputPaths);
} catch (IOException e) {
// TODO Auto-generated catch block
log.warn("For " + getOutputFileName() + " :JOB fails!");
log.warn(e);
e.printStackTrace();
this.MOVE_DONE = false;
}
} else {
log.warn("For " + getOutputFileName() + " :No input path!");
}
} catch (Exception e) {
log.warn("Job preparation failure!");
log.warn(e);
e.printStackTrace();
}
}
/**
* @param process
* @param tap
* @param conf
*/
@Override
public void sinkConfInit(
FlowProcess<JobConf> process, Tap<JobConf, RecordReader, OutputCollector> tap, JobConf conf) {
conf.setOutputFormat(MongoOutputFormat.class);
MongoConfigUtil.setOutputURI(conf, this.mongoUri);
FileOutputFormat.setOutputPath(conf, getPath());
}
/** Test compressible {@link GridmixRecord}. */
@Test
public void testCompressibleGridmixRecord() throws IOException {
JobConf conf = new JobConf();
CompressionEmulationUtil.setCompressionEmulationEnabled(conf, true);
CompressionEmulationUtil.setInputCompressionEmulationEnabled(conf, true);
FileSystem lfs = FileSystem.getLocal(conf);
int dataSize = 1024 * 1024 * 10; // 10 MB
float ratio = 0.357F;
// define the test's root temp directory
Path rootTempDir =
new Path(System.getProperty("test.build.data", "/tmp"))
.makeQualified(lfs.getUri(), lfs.getWorkingDirectory());
Path tempDir = new Path(rootTempDir, "TestPossiblyCompressibleGridmixRecord");
lfs.delete(tempDir, true);
// define a compressible GridmixRecord
GridmixRecord record = new GridmixRecord(dataSize, 0);
record.setCompressibility(true, ratio); // enable compression
conf.setClass(FileOutputFormat.COMPRESS_CODEC, GzipCodec.class, CompressionCodec.class);
org.apache.hadoop.mapred.FileOutputFormat.setCompressOutput(conf, true);
// write the record to a file
Path recordFile = new Path(tempDir, "record");
OutputStream outStream =
CompressionEmulationUtil.getPossiblyCompressedOutputStream(recordFile, conf);
DataOutputStream out = new DataOutputStream(outStream);
record.write(out);
out.close();
outStream.close();
// open the compressed stream for reading
Path actualRecordFile = recordFile.suffix(".gz");
InputStream in =
CompressionEmulationUtil.getPossiblyDecompressedInputStream(actualRecordFile, conf, 0);
// get the compressed file size
long compressedFileSize = lfs.listStatus(actualRecordFile)[0].getLen();
GridmixRecord recordRead = new GridmixRecord();
recordRead.readFields(new DataInputStream(in));
assertEquals(
"Record size mismatch in a compressible GridmixRecord", dataSize, recordRead.getSize());
assertTrue(
"Failed to generate a compressible GridmixRecord",
recordRead.getSize() > compressedFileSize);
// check if the record can generate data with the desired compression ratio
float seenRatio = ((float) compressedFileSize) / dataSize;
assertEquals(
CompressionEmulationUtil.standardizeCompressionRatio(ratio),
CompressionEmulationUtil.standardizeCompressionRatio(seenRatio),
1.0D);
}
private void createPageRankLinksDirectly() throws IOException, URISyntaxException {
log.info("Creating PageRank links", null);
JobConf job = new JobConf(PagerankData.class);
String jobname = "Create pagerank links";
Path fout = new Path(options.getResultPath(), EDGES_DIR_NAME);
job.setJobName(jobname);
setPageRankLinksOptions(job);
job.setOutputKeyClass(LongWritable.class);
job.setOutputValueClass(Text.class);
// job.setMapOutputKeyClass(LongWritable.class);
// job.setMapOutputValueClass(Text.class);
job.setNumReduceTasks(0);
FileInputFormat.setInputPaths(job, dummy.getPath());
job.setInputFormat(NLineInputFormat.class);
job.setMapperClass(DummyToPageRankLinksMapper.class);
if (options.isSequenceOut()) {
job.setOutputFormat(SequenceFileOutputFormat.class);
} else {
job.setOutputFormat(TextOutputFormat.class);
}
if (null != options.getCodecClass()) {
job.set("mapred.output.compression.type", "BLOCK");
job.set("mapreduce.output.fileoutputformat.compress.type", "BLOCK");
FileOutputFormat.setCompressOutput(job, true);
FileOutputFormat.setOutputCompressorClass(job, options.getCodecClass());
}
FileOutputFormat.setOutputPath(job, fout);
log.info("Running Job: " + jobname);
log.info("Dummy file " + dummy.getPath() + " as input");
log.info("Edges file " + fout + " as output");
JobClient.runJob(job);
log.info("Finished Running Job: " + jobname);
}
/** Runs this tool. */
public int run(String[] args) throws Exception {
if (args.length != 3) {
printUsage();
return -1;
}
String inputPath = args[0];
String outputPath = args[1];
String mappingFile = args[2];
LOG.info("Tool: " + DemoCountTrecDocuments.class.getCanonicalName());
LOG.info(" - input: " + inputPath);
LOG.info(" - output dir: " + outputPath);
LOG.info(" - docno mapping file: " + mappingFile);
JobConf conf = new JobConf(getConf(), DemoCountTrecDocuments.class);
conf.setJobName(DemoCountTrecDocuments.class.getSimpleName());
conf.setNumReduceTasks(0);
// Pass in the class name as a String; this is makes the mapper general in being able to load
// any collection of Indexable objects that has docid/docno mapping specified by a DocnoMapping
// object.
conf.set("DocnoMappingClass", TrecDocnoMapping.class.getCanonicalName());
// Put the mapping file in the distributed cache so each map worker will have it.
DistributedCache.addCacheFile(new URI(mappingFile), conf);
FileInputFormat.setInputPaths(conf, new Path(inputPath));
FileOutputFormat.setOutputPath(conf, new Path(outputPath));
FileOutputFormat.setCompressOutput(conf, false);
conf.setInputFormat(TrecDocumentInputFormat.class);
conf.setOutputKeyClass(Text.class);
conf.setOutputValueClass(IntWritable.class);
conf.setMapperClass(MyMapper.class);
// Delete the output directory if it exists already.
FileSystem.get(conf).delete(new Path(outputPath), true);
JobClient.runJob(conf);
return 0;
}
public static int main(String[] args) throws Exception {
int i;
String outPath;
int numMaps = 0, numReds = 0;
List<String> other_args = new ArrayList<String>();
for (i = 0; i < args.length; ++i) {
try {
if ("-m".equals(args[i])) {
numMaps = Integer.parseInt(args[++i]);
} else if ("-r".equals(args[i])) {
numReds = Integer.parseInt(args[++i]);
} else {
other_args.add(args[i]);
}
} catch (NumberFormatException except) {
System.out.println("ERROR: Integer expected instead of " + args[i]);
printUsage();
} catch (ArrayIndexOutOfBoundsException except) {
System.out.println("ERROR: Required parameter missing from " + args[i - 1]);
printUsage(); // exits
}
}
// Make sure there are exactly 2 parameters left.
if (other_args.size() != 2) {
System.out.println(
"ERROR: Wrong number of parameters: " + other_args.size() + " instead of 2.");
printUsage();
}
Date startTime = new Date();
System.out.println("Job started: " + startTime);
Date startIteration;
Date endIteration;
JobConf conf = new JobConf(Kmeans.class);
conf.setJobName("kmeans");
conf.setOutputKeyClass(IntWritable.class);
conf.setOutputValueClass(Text.class);
conf.setMapOutputKeyClass(IntWritable.class);
conf.setMapOutputValueClass(ClusterWritable.class);
conf.setMapperClass(MapClass.class);
conf.setReducerClass(Reduce.class);
conf.setNumMapTasks(numMaps);
conf.setNumReduceTasks(numReds);
FileInputFormat.setInputPaths(conf, new Path(other_args.get(0)));
outPath = new String(other_args.get(1));
FileOutputFormat.setOutputPath(conf, new Path(outPath));
startIteration = new Date();
JobClient.runJob(conf);
endIteration = new Date();
System.out.println(
"The iteration took "
+ (endIteration.getTime() - startIteration.getTime()) / 1000
+ " seconds.");
return 0;
}
