List of usage examples for org.apache.hadoop.mapred JobConf get
public String get(String name)
name property, null if no such property exists. From source file:DataJoinMapperBase.java
License:Apache License
public void configure(JobConf job) { super.configure(job); this.job = job; this.inputFile = job.get("map.input.file"); this.inputTag = generateInputTag(this.inputFile); }
From source file:StreamWikiDumpInputFormat.java
License:Apache License
public RecordReader<Text, Text> getRecordReader(final InputSplit genericSplit, JobConf job, Reporter reporter) throws IOException { // handling non-standard record reader (likely StreamXmlRecordReader) FileSplit split = (FileSplit) genericSplit; LOG.info("getRecordReader start.....split=" + split); reporter.setStatus(split.toString()); // Open the file and seek to the start of the split FileSystem fs = split.getPath().getFileSystem(job); String patt = job.get(KEY_EXCLUDE_PAGE_PATTERN); boolean prev = job.getBoolean(KEY_PREVIOUS_REVISION, true); return new MyRecordReader(split, reporter, job, fs, patt != null && !"".equals(patt) ? Pattern.compile(patt) : null, prev); }
From source file:Text2FormatStorageMR.java
License:Open Source License
@SuppressWarnings({ "unchecked", "deprecation" })
public static void showSplits(JobConf conf) throws IOException {
FormatStorageInputFormat inputFormat = new FormatStorageInputFormat();
InputSplit[] splits = inputFormat.getSplits(conf, 1);
int size = splits.length;
System.out.println("getSplits return size:" + size);
for (int i = 0; i < size; i++) {
FormatStorageSplit split = (FormatStorageSplit) splits[i];
System.out.printf("split:" + i + "offset:" + split.getStart() + "len:" + split.getLength() + "path:"
+ conf.get(ConstVar.InputPath) + "beginLine:" + split.getBeginLine() + "endLine:"
+ split.getEndLine() + "\n");
}/*from w w w . j av a 2 s . c o m*/
}
From source file:TestFormatStorageInputFormat.java
License:Open Source License
public static void main(String[] argv) throws IOException, SerDeException { try {//from www. j av a2 s . c om if (argv.length != 2) { System.out.println("TestFormatStorageInputFormat <input> <output>"); System.exit(-1); } JobConf conf = new JobConf(TestFormatStorageInputFormat.class); conf.setJobName("TestFormatStorageInputFormat"); conf.setNumMapTasks(1); conf.setNumReduceTasks(1); conf.setOutputKeyClass(LongWritable.class); conf.setOutputValueClass(Unit.Record.class); conf.setInputFormat(TextInputFormat.class); conf.setOutputFormat(FormatStorageOutputFormat.class); conf.set("mapred.output.compress", "flase"); conf.set("mapred.input.dir", argv[0]); Head head = new Head(); initHead(head); head.toJobConf(conf); FormatStorageSerDe serDe = initSerDe(conf); StandardStructObjectInspector oi = (StandardStructObjectInspector) serDe.getObjectInspector(); List<? extends StructField> fieldRefs = oi.getAllStructFieldRefs(); FileInputFormat.setInputPaths(conf, argv[0]); Path outputPath = new Path(argv[1]); FileOutputFormat.setOutputPath(conf, outputPath); InputFormat inputFormat = new FormatStorageInputFormat(); InputSplit[] inputSplits = inputFormat.getSplits(conf, 1); if (inputSplits.length == 0) { System.out.println("inputSplits is empty"); return; } else { System.out.println("get Splits:" + inputSplits.length); } int size = inputSplits.length; System.out.println("getSplits return size:" + size); for (int i = 0; i < size; i++) { FormatStorageSplit split = (FormatStorageSplit) inputSplits[i]; System.out.printf("split:" + i + "offset:" + split.getStart() + "len:" + split.getLength() + "path:" + conf.get(ConstVar.InputPath) + "beginLine:" + split.getBeginLine() + "endLine:" + split.getEndLine() + "\n"); } { int totalDelay = 0; RecordReader<WritableComparable, Writable> currRecReader = null; for (int i = 0; i < inputSplits.length; i++) { currRecReader = inputFormat.getRecordReader(inputSplits[i], conf, Reporter.NULL); WritableComparable key; Writable value; key = currRecReader.createKey(); value = currRecReader.createValue(); long begin = System.currentTimeMillis(); int count = 0; while (currRecReader.next(key, value)) { Record record = (Record) value; Object row = serDe.deserialize(record); count++; } long end = System.currentTimeMillis(); long delay = (end - begin) / 1000; totalDelay += delay; System.out.println(count + " record read over, delay " + delay + " s"); } System.out.println("total delay:" + totalDelay); } } catch (Exception e) { e.printStackTrace(); System.out.println("get exception:" + e.getMessage()); } }
From source file:Text2ColumntStorageMR.java
License:Open Source License
@SuppressWarnings({ "unchecked", "deprecation" })
public static void showSplits(JobConf conf) throws IOException {
ColumnStorageInputFormat inputFormat = new ColumnStorageInputFormat();
InputSplit[] splits = inputFormat.getSplits(conf, 1);
int size = splits.length;
System.out.println("getSplits return size:" + size);
for (int i = 0; i < size; i++) {
ColumnStorageSplit split = (ColumnStorageSplit) splits[i];
System.out.printf("split:" + i + "offset:" + split.getStart() + "len:" + split.getLength() + "path:"
+ conf.get(ConstVar.InputPath) + "beginLine:" + split.getBeginLine() + "endLine:"
+ split.getEndLine() + "\n");
}// ww w.j a va2 s. c o m
}
From source file:azkaban.jobtype.javautils.AbstractHadoopJob.java
License:Apache License
@SuppressWarnings("rawtypes") public JobConf createJobConf(Class<? extends Mapper> mapperClass, Class<? extends Reducer> reducerClass) throws IOException, URISyntaxException { JobConf conf = new JobConf(); // set custom class loader with custom find resource strategy. conf.setJobName(getJobName());//from ww w .j a va 2 s .c o m conf.setMapperClass(mapperClass); if (reducerClass != null) { conf.setReducerClass(reducerClass); } if (props.getBoolean("is.local", false)) { conf.set("mapred.job.tracker", "local"); conf.set("fs.default.name", "file:///"); conf.set("mapred.local.dir", "/tmp/map-red"); logger.info("Running locally, no hadoop jar set."); } else { HadoopUtils.setClassLoaderAndJar(conf, getClass()); logger.info("Setting hadoop jar file for class:" + getClass() + " to " + conf.getJar()); logger.info("*************************************************************************"); logger.info( " Running on Real Hadoop Cluster(" + conf.get("mapred.job.tracker") + ") "); logger.info("*************************************************************************"); } // set JVM options if present if (props.containsKey("mapred.child.java.opts")) { conf.set("mapred.child.java.opts", props.getString("mapred.child.java.opts")); logger.info("mapred.child.java.opts set to " + props.getString("mapred.child.java.opts")); } // set input and output paths if they are present if (props.containsKey("input.paths")) { List<String> inputPaths = props.getStringList("input.paths"); if (inputPaths.size() == 0) throw new IllegalArgumentException("Must specify at least one value for property 'input.paths'"); for (String path : inputPaths) { HadoopUtils.addAllSubPaths(conf, new Path(path)); } } if (props.containsKey("output.path")) { String location = props.get("output.path"); FileOutputFormat.setOutputPath(conf, new Path(location)); // For testing purpose only remove output file if exists if (props.getBoolean("force.output.overwrite", false)) { FileSystem fs = FileOutputFormat.getOutputPath(conf).getFileSystem(conf); fs.delete(FileOutputFormat.getOutputPath(conf), true); } } // Adds External jars to hadoop classpath String externalJarList = props.getString("hadoop.external.jarFiles", null); if (externalJarList != null) { FileSystem fs = FileSystem.get(conf); String[] jarFiles = externalJarList.split(","); for (String jarFile : jarFiles) { logger.info("Adding extenral jar File:" + jarFile); DistributedCache.addFileToClassPath(new Path(jarFile), conf, fs); } } // Adds distributed cache files String cacheFileList = props.getString("hadoop.cache.files", null); if (cacheFileList != null) { String[] cacheFiles = cacheFileList.split(","); for (String cacheFile : cacheFiles) { logger.info("Adding Distributed Cache File:" + cacheFile); DistributedCache.addCacheFile(new URI(cacheFile), conf); } } // Adds distributed cache files String archiveFileList = props.getString("hadoop.cache.archives", null); if (archiveFileList != null) { String[] archiveFiles = archiveFileList.split(","); for (String archiveFile : archiveFiles) { logger.info("Adding Distributed Cache Archive File:" + archiveFile); DistributedCache.addCacheArchive(new URI(archiveFile), conf); } } String hadoopCacheJarDir = props.getString("hdfs.default.classpath.dir", null); if (hadoopCacheJarDir != null) { FileSystem fs = FileSystem.get(conf); if (fs != null) { FileStatus[] status = fs.listStatus(new Path(hadoopCacheJarDir)); if (status != null) { for (int i = 0; i < status.length; ++i) { if (!status[i].isDir()) { Path path = new Path(hadoopCacheJarDir, status[i].getPath().getName()); logger.info("Adding Jar to Distributed Cache Archive File:" + path); DistributedCache.addFileToClassPath(path, conf, fs); } } } else { logger.info("hdfs.default.classpath.dir " + hadoopCacheJarDir + " is empty."); } } else { logger.info("hdfs.default.classpath.dir " + hadoopCacheJarDir + " filesystem doesn't exist"); } } for (String key : getProps().getKeySet()) { String lowerCase = key.toLowerCase(); if (lowerCase.startsWith(HADOOP_PREFIX)) { String newKey = key.substring(HADOOP_PREFIX.length()); conf.set(newKey, getProps().get(key)); } } HadoopUtils.setPropsInJob(conf, getProps()); // put in tokens if (System.getenv(HADOOP_TOKEN_FILE_LOCATION) != null) { conf.set(MAPREDUCE_JOB_CREDENTIALS_BINARY, System.getenv(HADOOP_TOKEN_FILE_LOCATION)); } return conf; }
From source file:babel.prep.extract.PageExtMapper.java
License:Apache License
/** * Recovers the nutch segment processed by this mapper from job config. *///w w w . j a va 2s .co m public void configure(JobConf job) throws IllegalArgumentException { // Recover the segment processed by this mapper String fileDir = job.get("map.input.file"); String segmentsDir = job.get(NutchPageExtractor.JOB_PROP_SEGMENTS_DIR); int idx; if (fileDir == null || segmentsDir == null || ((idx = fileDir.indexOf(segmentsDir)) < 0)) { throw new IllegalArgumentException("Could not recover mapper's segment."); } else { String segment = fileDir.substring(idx + segmentsDir.length()); idx = segment.startsWith(File.separator) ? 1 : 0; m_segmentId = segment.substring(idx, segment.indexOf(File.separator, idx)); } }
From source file:babel.prep.langid.LangIdMapper.java
License:Apache License
/** * Sets up the language detector./*from w w w .ja va 2 s. c o m*/ */ public void configure(JobConf job) { String referrer = job.get(LangIdentifier.JOB_PROP_JOB_REFERRER); // m_detector = new NutchLangDetector(job); -OR- m_detector = new GoogleLangDetector(referrer); }
From source file:babel.prep.langidtime.LangAndTimeMapper.java
License:Apache License
/** * Sets up the language detector.//from ww w. j a va2s. c o m */ public void configure(JobConf job) { String referrer = job.get(LangAndTimeExtractor.JOB_PROP_JOB_REFERRER); m_extractor = new URLAndContentsLangTimeExtractor(referrer); }
From source file:boa.datagen.SeqSort.java
License:Apache License
/** * The main driver for sort program./*from w w w. j ava 2 s . c o m*/ * Invoke this method to submit the map/reduce job. * @throws IOException When there is communication problems with the * job tracker. */ @Override public int run(String[] args) throws Exception { System.out.println(inPath); JobConf jobConf = new JobConf(getConf(), SeqSort.class); jobConf.setJobName("sorter"); jobConf.setMapperClass(IdentityMapper.class); jobConf.setReducerClass(IdentityReducer.class); JobClient client = new JobClient(jobConf); ClusterStatus cluster = client.getClusterStatus(); int num_reduces = (int) (cluster.getMaxReduceTasks() * 0.9); String sort_reduces = jobConf.get("test.sort.reduces_per_host"); if (sort_reduces != null) { num_reduces = cluster.getTaskTrackers() * Integer.parseInt(sort_reduces); } // Set user-supplied (possibly default) job configs jobConf.setNumReduceTasks(num_reduces); jobConf.setInputFormat(SequenceFileInputFormat.class); jobConf.setOutputFormat(SequenceFileOutputFormat.class); jobConf.setOutputKeyClass(Text.class); jobConf.setOutputValueClass(BytesWritable.class); SequenceFileOutputFormat.setCompressOutput(jobConf, true); SequenceFileOutputFormat.setOutputCompressorClass(jobConf, SnappyCodec.class); SequenceFileOutputFormat.setOutputCompressionType(jobConf, CompressionType.BLOCK); // Make sure there are exactly 2 parameters left. FileInputFormat.setInputPaths(jobConf, inPath); FileOutputFormat.setOutputPath(jobConf, new Path(outPath)); System.out.println("Running on " + cluster.getTaskTrackers() + " nodes to sort from " + FileInputFormat.getInputPaths(jobConf)[0] + " into " + FileOutputFormat.getOutputPath(jobConf) + " with " + num_reduces + " reduces."); Date startTime = new Date(); System.out.println("Job started: " + startTime); jobResult = JobClient.runJob(jobConf); Date end_time = new Date(); System.out.println("Job ended: " + end_time); System.out.println("The job took " + (end_time.getTime() - startTime.getTime()) / 1000 + " seconds."); return 0; }