List of usage examples for org.apache.hadoop.mapreduce Job Job
Job(JobConf conf) throws IOException
From source file:com.ask.hive.hbase.HiveHBaseTextTableInputFormat.java
License:Apache License
public RecordReader<Text, Text> getRecordReader(InputSplit split, JobConf jobConf, final Reporter reporter) throws IOException { HBaseSplit hbaseSplit = (HBaseSplit) split; TableSplit tableSplit = hbaseSplit.getSplit(); String hbaseTableName = jobConf.get(HBaseSerDe.HBASE_TABLE_NAME); setHTable(new HTable(new HBaseConfiguration(jobConf), Bytes.toBytes(hbaseTableName))); String hbaseColumnsMapping = jobConf.get(HBaseSerDe.HBASE_COLUMNS_MAPPING); List<String> hbaseColumnFamilies = new ArrayList<String>(); List<String> hbaseColumnQualifiers = new ArrayList<String>(); List<byte[]> hbaseColumnFamiliesBytes = new ArrayList<byte[]>(); List<byte[]> hbaseColumnQualifiersBytes = new ArrayList<byte[]>(); int iKey;/* w ww . j av a 2 s . co m*/ try { iKey = parseColumnMapping(hbaseColumnsMapping, hbaseColumnFamilies, hbaseColumnFamiliesBytes, hbaseColumnQualifiers, hbaseColumnQualifiersBytes); } catch (Exception se) { throw new IOException(se); } List<Integer> readColIDs = ColumnProjectionUtils.getReadColumnIDs(jobConf); if (hbaseColumnFamilies.size() < readColIDs.size()) { throw new IOException("Cannot read more columns than the given table contains."); } boolean addAll = (readColIDs.size() == 0); Scan scan = new Scan(); boolean empty = true; if (!addAll) { for (int i : readColIDs) { if (i == iKey) { continue; } scan.addFamily(hbaseColumnFamiliesBytes.get(i)); empty = false; } } // The HBase table's row key maps to a Hive table column. In the corner case when only the // row key column is selected in Hive, the HBase Scan will be empty i.e. no column family/ // column qualifier will have been added to the scan. We arbitrarily add at least one column // to the HBase scan so that we can retrieve all of the row keys and return them as the Hive // tables column projection. if (empty) { for (int i = 0; i < hbaseColumnFamilies.size(); i++) { if (i == iKey) { continue; } if (hbaseColumnQualifiers.get(i) == null) { scan.addFamily(hbaseColumnFamiliesBytes.get(i)); } else { scan.addColumn(hbaseColumnFamiliesBytes.get(i), hbaseColumnQualifiersBytes.get(i)); } if (!addAll) { break; } } } //setting start and end time for scanning setTime(jobConf, scan); // If Hive's optimizer gave us a filter to process, convert it to the // HBase scan form now. tableSplit = convertFilter(jobConf, scan, tableSplit, iKey); setScan(scan); Job job = new Job(jobConf); TaskAttemptContext tac = new TaskAttemptContext(job.getConfiguration(), new TaskAttemptID()) { @Override public void progress() { reporter.progress(); } }; final org.apache.hadoop.mapreduce.RecordReader<ImmutableBytesWritable, Result> recordReader = createRecordReader( tableSplit, tac); return new RecordReader<Text, Text>() { //@Override public void close() throws IOException { recordReader.close(); } // @Override public Text createKey() { return new Text(); } // @Override public Text createValue() { return new Text(); } // @Override public long getPos() throws IOException { return 0; } // @Override public float getProgress() throws IOException { float progress = 0.0F; try { progress = recordReader.getProgress(); } catch (InterruptedException e) { throw new IOException(e); } return progress; } // @Override public boolean next(Text rowKey, Text value) throws IOException { boolean next = false; try { next = recordReader.nextKeyValue(); //logic for to find the column name if (next) { rowKey.set(Bytes.toString(recordReader.getCurrentValue().getRow())); StringBuilder val = new StringBuilder(); String prev = ""; for (KeyValue kv : recordReader.getCurrentValue().raw()) { String current = new String(kv.getQualifier()); char[] col = new String(current).toCharArray(); if (val.length() > 0) { if (prev.equals(current)) val.append(","); else val.append("\t"); } prev = current; val.append(col[0]).append("_"); val.append(Bytes.toString(kv.getValue())); } value.set(val.toString()); // rowKey.set(Bytes.toString(recordReader.getCurrentValue().getRow()));; // value.set(Bytes.toString(recordReader.getCurrentValue().value())); } } catch (InterruptedException e) { throw new IOException(e); } return next; } }; }
From source file:com.ask.hive.hbase.HiveHBaseTextTableInputFormat.java
License:Apache License
public InputSplit[] getSplits(JobConf jobConf, int numSplits) throws IOException { String hbaseTableName = jobConf.get(HBaseSerDe.HBASE_TABLE_NAME); setHTable(new HTable(new HBaseConfiguration(jobConf), Bytes.toBytes(hbaseTableName))); String hbaseColumnsMapping = jobConf.get(HBaseSerDe.HBASE_COLUMNS_MAPPING); if (hbaseColumnsMapping == null) { throw new IOException("hbase.columns.mapping required for HBase Table."); }/*from ww w . j a va 2 s . co m*/ List<String> hbaseColumnFamilies = new ArrayList<String>(); List<String> hbaseColumnQualifiers = new ArrayList<String>(); List<byte[]> hbaseColumnFamiliesBytes = new ArrayList<byte[]>(); List<byte[]> hbaseColumnQualifiersBytes = new ArrayList<byte[]>(); int iKey; try { iKey = HBaseSerDe.parseColumnMapping(hbaseColumnsMapping, hbaseColumnFamilies, hbaseColumnFamiliesBytes, hbaseColumnQualifiers, hbaseColumnQualifiersBytes); } catch (SerDeException se) { throw new IOException(se); } Scan scan = new Scan(); // Take filter pushdown into account while calculating splits; this // allows us to prune off regions immediately. Note that although // the Javadoc for the superclass getSplits says that it returns one // split per region, the implementation actually takes the scan // definition into account and excludes regions which don't satisfy // the start/stop row conditions (HBASE-1829). convertFilter(jobConf, scan, null, iKey); // REVIEW: are we supposed to be applying the getReadColumnIDs // same as in getRecordReader? for (int i = 0; i < hbaseColumnFamilies.size(); i++) { if (i == iKey) { continue; } if (hbaseColumnQualifiers.get(i) == null) { scan.addFamily(hbaseColumnFamiliesBytes.get(i)); } else { scan.addColumn(hbaseColumnFamiliesBytes.get(i), hbaseColumnQualifiersBytes.get(i)); } } setScan(scan); Job job = new Job(jobConf); JobContext jobContext = new JobContext(job.getConfiguration(), job.getJobID()); Path[] tablePaths = FileInputFormat.getInputPaths(jobContext); List<org.apache.hadoop.mapreduce.InputSplit> splits = super.getSplits(jobContext); InputSplit[] results = new InputSplit[splits.size()]; for (int i = 0; i < splits.size(); i++) { results[i] = new HBaseSplit((TableSplit) splits.get(i), tablePaths[0]); } return results; }
From source file:com.ask.hive.hbase.HiveHBaseTimeTableInputFormat.java
License:Apache License
public RecordReader<ImmutableBytesWritable, Result> getRecordReader(InputSplit split, JobConf jobConf, final Reporter reporter) throws IOException { HBaseSplit hbaseSplit = (HBaseSplit) split; TableSplit tableSplit = hbaseSplit.getSplit(); String hbaseTableName = jobConf.get(HBaseSerDe.HBASE_TABLE_NAME); setHTable(new HTable(new HBaseConfiguration(jobConf), Bytes.toBytes(hbaseTableName))); String hbaseColumnsMapping = jobConf.get(HBaseSerDe.HBASE_COLUMNS_MAPPING); List<String> hbaseColumnFamilies = new ArrayList<String>(); List<String> hbaseColumnQualifiers = new ArrayList<String>(); List<byte[]> hbaseColumnFamiliesBytes = new ArrayList<byte[]>(); List<byte[]> hbaseColumnQualifiersBytes = new ArrayList<byte[]>(); int iKey;/*from w ww . j a v a2 s . c o m*/ try { iKey = HBaseSerDe.parseColumnMapping(hbaseColumnsMapping, hbaseColumnFamilies, hbaseColumnFamiliesBytes, hbaseColumnQualifiers, hbaseColumnQualifiersBytes); } catch (SerDeException se) { throw new IOException(se); } List<Integer> readColIDs = ColumnProjectionUtils.getReadColumnIDs(jobConf); if (hbaseColumnFamilies.size() < readColIDs.size()) { throw new IOException("Cannot read more columns than the given table contains."); } boolean addAll = (readColIDs.size() == 0); Scan scan = new Scan(); boolean empty = true; if (!addAll) { for (int i : readColIDs) { if (i == iKey) { continue; } if (hbaseColumnQualifiers.get(i) == null) { scan.addFamily(hbaseColumnFamiliesBytes.get(i)); } else { scan.addColumn(hbaseColumnFamiliesBytes.get(i), hbaseColumnQualifiersBytes.get(i)); } empty = false; } } // The HBase table's row key maps to a Hive table column. In the corner case when only the // row key column is selected in Hive, the HBase Scan will be empty i.e. no column family/ // column qualifier will have been added to the scan. We arbitrarily add at least one column // to the HBase scan so that we can retrieve all of the row keys and return them as the Hive // tables column projection. if (empty) { for (int i = 0; i < hbaseColumnFamilies.size(); i++) { if (i == iKey) { continue; } if (hbaseColumnQualifiers.get(i) == null) { scan.addFamily(hbaseColumnFamiliesBytes.get(i)); } else { scan.addColumn(hbaseColumnFamiliesBytes.get(i), hbaseColumnQualifiersBytes.get(i)); } if (!addAll) { break; } } } //setting start and end time for scanning setTime(jobConf, scan); // If Hive's optimizer gave us a filter to process, convert it to the // HBase scan form now. tableSplit = convertFilter(jobConf, scan, tableSplit, iKey); setScan(scan); Job job = new Job(jobConf); TaskAttemptContext tac = new TaskAttemptContext(job.getConfiguration(), new TaskAttemptID()) { @Override public void progress() { reporter.progress(); } }; final org.apache.hadoop.mapreduce.RecordReader<ImmutableBytesWritable, Result> recordReader = createRecordReader( tableSplit, tac); return new RecordReader<ImmutableBytesWritable, Result>() { //@Override public void close() throws IOException { recordReader.close(); } // @Override public ImmutableBytesWritable createKey() { return new ImmutableBytesWritable(); } // @Override public Result createValue() { return new Result(); } // @Override public long getPos() throws IOException { return 0; } // @Override public float getProgress() throws IOException { float progress = 0.0F; try { progress = recordReader.getProgress(); } catch (InterruptedException e) { throw new IOException(e); } return progress; } // @Override public boolean next(ImmutableBytesWritable rowKey, Result value) throws IOException { boolean next = false; try { next = recordReader.nextKeyValue(); if (next) { rowKey.set(recordReader.getCurrentValue().getRow()); Writables.copyWritable(recordReader.getCurrentValue(), value); } } catch (InterruptedException e) { throw new IOException(e); } return next; } }; }
From source file:com.awcoleman.BouncyCastleGenericCDRHadoop.BasicDriverMapReduce.java
License:Apache License
public int run(String[] args) throws Exception { if (args.length < 2) { System.out.println("Missing input and output filenames. Exiting."); System.exit(1);/* ww w. j a v a 2 s .co m*/ } Job job = new Job(super.getConf()); job.setJarByClass(BasicDriverMapReduce.class); job.setJobName("BasicDriver1"); job.setMapperClass(BasicMapper.class); job.setReducerClass(BasicReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(LongWritable.class); job.setInputFormatClass(RawFileAsBinaryInputFormat.class); FileInputFormat.addInputPath(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); return job.waitForCompletion(true) ? 0 : 1; }
From source file:com.awcoleman.BouncyCastleGenericCDRHadoopWithWritable.BasicDriverMapReduce.java
License:Apache License
public int run(String[] args) throws Exception { if (args.length < 2) { System.out.println("Missing input and output filenames. Exiting."); System.exit(1);/* w w w. j av a 2 s .c om*/ } @SuppressWarnings("deprecation") Job job = new Job(super.getConf()); job.setJarByClass(BasicDriverMapReduce.class); job.setJobName("BasicDriverMapReduce"); job.setMapperClass(BasicMapper.class); job.setReducerClass(BasicReducer.class); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(CallDetailRecord.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(LongWritable.class); job.setInputFormatClass(RawFileAsBinaryInputFormat.class); FileInputFormat.addInputPath(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); return job.waitForCompletion(true) ? 0 : 1; }
From source file:com.bigfishgames.biginsights.upsight.mapreduce.MapReduceAvroWordCount.java
License:Apache License
public int run(String[] args) throws Exception { if (args.length != 2) { System.err.println("Usage: AvroWordCount <input path> <output path>"); return -1; }// w w w. j av a 2 s .c om Job job = new Job(getConf()); job.setJarByClass(MapReduceAvroWordCount.class); job.setJobName("wordcount"); // We call setOutputSchema first so we can override the configuration // parameters it sets // AvroJob.setOutputKeySchema(job, // Pair.getPairSchema(Schema.create(Type.STRING), // Schema.create(Type.NULL))); AvroJob.setOutputKeySchema(job, Event.getClassSchema()); job.setOutputValueClass(NullWritable.class); job.setMapperClass(Map.class); job.setReducerClass(Reduce.class); job.setInputFormatClass(TextInputFormat.class); job.setOutputFormatClass(MyAvroKeyOutputFormat.class); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(IntWritable.class); job.setSortComparatorClass(Text.Comparator.class); FileInputFormat.setInputPaths(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); job.waitForCompletion(true); return 0; }
From source file:com.blackberry.logdriver.util.Cat.java
License:Apache License
@Override public int run(String[] args) throws Exception { Configuration conf = getConf(); // Configuration processed by ToolRunner // If run by Oozie, then load the Oozie conf too if (System.getProperty("oozie.action.conf.xml") != null) { conf.addResource(new URL("file://" + System.getProperty("oozie.action.conf.xml"))); }/*from www . j ava2 s.co m*/ FileSystem fs = FileSystem.get(conf); // The command line options List<Path> paths = new ArrayList<Path>(); Path outputDir = null; // Load input files from the command line if (args.length < 2) { System.out.println("usage: [genericOptions] input [input ...] output"); System.exit(1); } // Get the files we need from the command line. for (int i = 0; i < args.length - 1; i++) { for (FileStatus f : fs.globStatus(new Path(args[i]))) { paths.add(f.getPath()); } } outputDir = new Path(args[args.length - 1]); @SuppressWarnings("deprecation") Job job = new Job(conf); Configuration jobConf = job.getConfiguration(); job.setJarByClass(Cat.class); jobConf.setIfUnset("mapred.job.name", "Cat Files"); // To propagate credentials within Oozie if (System.getenv("HADOOP_TOKEN_FILE_LOCATION") != null) { jobConf.set("mapreduce.job.credentials.binary", System.getenv("HADOOP_TOKEN_FILE_LOCATION")); } // Good output separators include things that are unsupported by XML. So we // just send the byte value of the character through. The restriction here // is that it can't be more than 1 byte when UTF-8 encoded, since it will be // read by Pig which only deals with single byte separators. { String outputSeparator = jobConf.get("logdriver.output.field.separator", DEFAULT_OUTPUT_SEPARATOR); byte[] bytes = outputSeparator.getBytes(UTF_8); if (bytes.length != 1) { LOG.error("The output separator must be a single byte in UTF-8."); return 1; } jobConf.set("logdriver.output.field.separator", Byte.toString(bytes[0])); } job.setInputFormatClass(BoomInputFormat.class); job.setMapperClass(CatMapper.class); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(NullWritable.class); job.setNumReduceTasks(0); job.setOutputFormatClass(TextOutputFormat.class); TextOutputFormat.setOutputPath(job, outputDir); for (Path path : paths) { BoomInputFormat.addInputPath(job, path); } // Run the job. if (conf.getBoolean("job.wait", DEFAULT_WAIT_JOB)) { return job.waitForCompletion(true) ? 0 : 1; } else { job.submit(); return 0; } }
From source file:com.blackberry.logdriver.util.FastSearch.java
License:Apache License
@Override public int run(String[] args) throws Exception { Configuration conf = getConf(); // Configuration processed by ToolRunner // If run by Oozie, then load the Oozie conf too if (System.getProperty("oozie.action.conf.xml") != null) { conf.addResource(new URL("file://" + System.getProperty("oozie.action.conf.xml"))); }//from www. ja va2s . c o m FileSystem fs = FileSystem.get(conf); // The command line options String searchString = null; List<Path> paths = new ArrayList<Path>(); Path outputDir = null; // Load input files from the command line if (args.length < 3) { System.out.println("usage: [genericOptions] searchString input [input ...] output"); System.exit(1); } // Get the files we need from the command line. searchString = args[0]; for (int i = 1; i < args.length - 1; i++) { for (FileStatus f : fs.globStatus(new Path(args[i]))) { paths.add(f.getPath()); } } outputDir = new Path(args[args.length - 1]); @SuppressWarnings("deprecation") Job job = new Job(conf); Configuration jobConf = job.getConfiguration(); job.setJarByClass(FastSearch.class); jobConf.setIfUnset("mapred.job.name", "Search Files"); // To propagate credentials within Oozie if (System.getenv("HADOOP_TOKEN_FILE_LOCATION") != null) { jobConf.set("mapreduce.job.credentials.binary", System.getenv("HADOOP_TOKEN_FILE_LOCATION")); } // Good output separators include things that are unsupported by XML. So we // just send the byte value of the character through. The restriction here // is that it can't be more than 1 byte when UTF-8 encoded, since it will be // read by Pig which only deals with single byte separators. { String outputSeparator = jobConf.get("logdriver.output.field.separator", DEFAULT_OUTPUT_SEPARATOR); byte[] bytes = outputSeparator.getBytes(UTF_8); if (bytes.length != 1) { LOG.error("The output separator must be a single byte in UTF-8."); return 1; } jobConf.set("logdriver.output.field.separator", Byte.toString(bytes[0])); } jobConf.set("logdriver.search.string", Base64.encodeBase64String(searchString.getBytes("UTF-8"))); job.setInputFormatClass(AvroBlockInputFormat.class); job.setMapperClass(SearchMapper.class); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(NullWritable.class); job.setNumReduceTasks(0); // And set the output as usual job.setOutputFormatClass(TextOutputFormat.class); TextOutputFormat.setOutputPath(job, outputDir); for (Path path : paths) { AvroBlockInputFormat.addInputPath(job, path); } // Run the job. if (conf.getBoolean("job.wait", DEFAULT_WAIT_JOB)) { return job.waitForCompletion(true) ? 0 : 1; } else { job.submit(); return 0; } }
From source file:com.blackberry.logdriver.util.Grep.java
License:Apache License
@Override public int run(String[] args) throws Exception { Configuration conf = getConf(); // Configuration processed by ToolRunner // If run by Oozie, then load the Oozie conf too if (System.getProperty("oozie.action.conf.xml") != null) { conf.addResource(new URL("file://" + System.getProperty("oozie.action.conf.xml"))); }/*from w w w.j a v a2 s. c o m*/ FileSystem fs = FileSystem.get(conf); // The command line options String regex = null; List<Path> paths = new ArrayList<Path>(); Path outputDir = null; // Load input files from the command line if (args.length < 3) { System.out.println("usage: [genericOptions] regex input [input ...] output"); System.exit(1); } // Get the files we need from the command line. regex = args[0]; for (int i = 1; i < args.length - 1; i++) { for (FileStatus f : fs.globStatus(new Path(args[i]))) { paths.add(f.getPath()); } } outputDir = new Path(args[args.length - 1]); @SuppressWarnings("deprecation") Job job = new Job(conf); Configuration jobConf = job.getConfiguration(); job.setJarByClass(Grep.class); jobConf.setIfUnset("mapred.job.name", "Grep Files"); // To propagate credentials within Oozie if (System.getenv("HADOOP_TOKEN_FILE_LOCATION") != null) { jobConf.set("mapreduce.job.credentials.binary", System.getenv("HADOOP_TOKEN_FILE_LOCATION")); } // Good output separators include things that are unsupported by XML. So we // just send the byte value of the character through. The restriction here // is that it can't be more than 1 byte when UTF-8 encoded, since it will be // read by Pig which only deals with single byte separators. { String outputSeparator = jobConf.get("logdriver.output.field.separator", DEFAULT_OUTPUT_SEPARATOR); byte[] bytes = outputSeparator.getBytes(UTF_8); if (bytes.length != 1) { LOG.error("The output separator must be a single byte in UTF-8."); return 1; } jobConf.set("logdriver.output.field.separator", Byte.toString(bytes[0])); } jobConf.set("logdriver.grep.regex", Base64.encodeBase64String(regex.getBytes("UTF-8"))); job.setInputFormatClass(BoomInputFormat.class); job.setMapperClass(GrepMapper.class); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(NullWritable.class); job.setNumReduceTasks(0); // And set the output as usual job.setOutputFormatClass(TextOutputFormat.class); TextOutputFormat.setOutputPath(job, outputDir); for (Path path : paths) { BoomInputFormat.addInputPath(job, path); } // Run the job. if (conf.getBoolean("job.wait", DEFAULT_WAIT_JOB)) { return job.waitForCompletion(true) ? 0 : 1; } else { job.submit(); return 0; } }
From source file:com.blackberry.logdriver.util.MultiSearch.java
License:Apache License
@Override public int run(String[] args) throws Exception { Configuration conf = getConf(); // Configuration processed by ToolRunner // If run by Oozie, then load the Oozie conf too if (System.getProperty("oozie.action.conf.xml") != null) { conf.addResource(new URL("file://" + System.getProperty("oozie.action.conf.xml"))); }/*from w ww . j a v a 2 s . c om*/ FileSystem fs = FileSystem.get(conf); // The command line options String searchStringDir = null; List<Path> paths = new ArrayList<Path>(); Path outputDir = null; // Load input files from the command line if (args.length < 3) { System.out.println("usage: [genericOptions] searchStringDirectory input [input ...] output"); System.exit(1); } // Get the files we need from the command line. searchStringDir = args[0]; // We are going to be reading all the files in this directory a lot. So // let's up the replication factor by a lot so that they're easy to read. for (FileStatus f : fs.listStatus(new Path(searchStringDir))) { fs.setReplication(f.getPath(), (short) 16); } for (int i = 1; i < args.length - 1; i++) { for (FileStatus f : fs.globStatus(new Path(args[i]))) { paths.add(f.getPath()); } } outputDir = new Path(args[args.length - 1]); @SuppressWarnings("deprecation") Job job = new Job(conf); Configuration jobConf = job.getConfiguration(); job.setJarByClass(MultiSearch.class); jobConf.setIfUnset("mapred.job.name", "MultiSearch"); // To propagate credentials within Oozie if (System.getenv("HADOOP_TOKEN_FILE_LOCATION") != null) { jobConf.set("mapreduce.job.credentials.binary", System.getenv("HADOOP_TOKEN_FILE_LOCATION")); } // Good output separators include things that are unsupported by XML. So we // just send the byte value of the character through. The restriction here // is that it can't be more than 1 byte when UTF-8 encoded, since it will be // read by Pig which only deals with single byte separators. { String outputSeparator = jobConf.get("logdriver.output.field.separator", DEFAULT_OUTPUT_SEPARATOR); byte[] bytes = outputSeparator.getBytes(UTF_8); if (bytes.length != 1) { LOG.error("The output separator must be a single byte in UTF-8."); return 1; } jobConf.set("logdriver.output.field.separator", Byte.toString(bytes[0])); } jobConf.set("logdriver.search.string.dir", searchStringDir); // This search is generally too fast to make good use of 128MB blocks, so // let's set the value to 256MB (if it's not set already) if (jobConf.get("mapred.max.split.size") == null) { jobConf.setLong("mapred.max.split.size", 256 * 1024 * 1024); } job.setInputFormatClass(AvroBlockInputFormat.class); job.setMapperClass(SearchMapper.class); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(NullWritable.class); job.setNumReduceTasks(0); job.setOutputFormatClass(TextOutputFormat.class); TextOutputFormat.setOutputPath(job, outputDir); for (Path path : paths) { AvroBlockInputFormat.addInputPath(job, path); } // Run the job. if (conf.getBoolean("job.wait", DEFAULT_WAIT_JOB)) { return job.waitForCompletion(true) ? 0 : 1; } else { job.submit(); return 0; } }