List of usage examples for org.apache.hadoop.mapreduce.lib.partition TotalOrderPartitioner setPartitionFile
public static void setPartitionFile(Configuration conf, Path p)
From source file:ComRoughSetApproInputSampler.java
License:Apache License
/** * Driver for InputSampler from the command line. * Configures a JobConf instance and calls {@link #writePartitionFile}. *//*from w w w.ja v a 2 s .c om*/ public int run(String[] args) throws Exception { Job job = new Job(getConf()); ArrayList<String> otherArgs = new ArrayList<String>(); Sampler<K, V> sampler = null; for (int i = 0; i < args.length; ++i) { try { if ("-r".equals(args[i])) { job.setNumReduceTasks(Integer.parseInt(args[++i])); } else if ("-inFormat".equals(args[i])) { job.setInputFormatClass(Class.forName(args[++i]).asSubclass(InputFormat.class)); } else if ("-keyClass".equals(args[i])) { job.setMapOutputKeyClass(Class.forName(args[++i]).asSubclass(WritableComparable.class)); } else if ("-splitSample".equals(args[i])) { int numSamples = Integer.parseInt(args[++i]); int maxSplits = Integer.parseInt(args[++i]); if (0 >= maxSplits) maxSplits = Integer.MAX_VALUE; sampler = new SplitSampler<K, V>(numSamples, maxSplits); } else if ("-splitRandom".equals(args[i])) { double pcnt = Double.parseDouble(args[++i]); int numSamples = Integer.parseInt(args[++i]); int maxSplits = Integer.parseInt(args[++i]); if (0 >= maxSplits) maxSplits = Integer.MAX_VALUE; sampler = new RandomSampler<K, V>(pcnt, numSamples, maxSplits); } else if ("-splitInterval".equals(args[i])) { double pcnt = Double.parseDouble(args[++i]); int maxSplits = Integer.parseInt(args[++i]); if (0 >= maxSplits) maxSplits = Integer.MAX_VALUE; sampler = new IntervalSampler<K, V>(pcnt, maxSplits); } else { otherArgs.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(); } } if (job.getNumReduceTasks() <= 1) { System.err.println("Sampler requires more than one reducer"); return printUsage(); } if (otherArgs.size() < 2) { System.out.println("ERROR: Wrong number of parameters: "); return printUsage(); } if (null == sampler) { sampler = new RandomSampler<K, V>(0.1, 10000, 10); } Path outf = new Path(otherArgs.remove(otherArgs.size() - 1)); TotalOrderPartitioner.setPartitionFile(getConf(), outf); for (String s : otherArgs) { FileInputFormat.addInputPath(job, new Path(s)); } ComRoughSetApproInputSampler.<K, V>writePartitionFile(job, sampler); return 0; }
From source file:bdss.cmu.edu.Sort.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. */ public int run(String[] args) throws Exception { Configuration conf = getConf(); JobClient client = new JobClient(conf); ClusterStatus cluster = client.getClusterStatus(); int num_reduces = (int) (cluster.getMaxReduceTasks() * 0.9); String sort_reduces = conf.get(REDUCES_PER_HOST); if (sort_reduces != null) { num_reduces = cluster.getTaskTrackers() * Integer.parseInt(sort_reduces); } Class<? extends InputFormat> inputFormatClass = SequenceFileInputFormat.class; Class<? extends OutputFormat> outputFormatClass = SequenceFileOutputFormat.class; Class<? extends WritableComparable> outputKeyClass = BytesWritable.class; Class<? extends Writable> outputValueClass = BytesWritable.class; List<String> otherArgs = new ArrayList<String>(); InputSampler.Sampler<K, V> sampler = null; for (int i = 0; i < args.length; ++i) { try { if ("-r".equals(args[i])) { num_reduces = Integer.parseInt(args[++i]); } else if ("-inFormat".equals(args[i])) { inputFormatClass = Class.forName(args[++i]).asSubclass(InputFormat.class); } else if ("-outFormat".equals(args[i])) { outputFormatClass = Class.forName(args[++i]).asSubclass(OutputFormat.class); } else if ("-outKey".equals(args[i])) { outputKeyClass = Class.forName(args[++i]).asSubclass(WritableComparable.class); } else if ("-outValue".equals(args[i])) { outputValueClass = Class.forName(args[++i]).asSubclass(Writable.class); } else if ("-totalOrder".equals(args[i])) { double pcnt = Double.parseDouble(args[++i]); int numSamples = Integer.parseInt(args[++i]); int maxSplits = Integer.parseInt(args[++i]); if (0 >= maxSplits) maxSplits = Integer.MAX_VALUE; sampler = new InputSampler.RandomSampler<K, V>(pcnt, numSamples, maxSplits); } else { otherArgs.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(); // exits } } // Set user-supplied (possibly default) job configs job = new Job(conf); job.setJobName("sorter"); job.setJarByClass(Sort.class); job.setMapperClass(Mapper.class); job.setReducerClass(Reducer.class); job.setNumReduceTasks(num_reduces); job.setInputFormatClass(inputFormatClass); job.setOutputFormatClass(outputFormatClass); job.setOutputKeyClass(outputKeyClass); job.setOutputValueClass(outputValueClass); // Make sure there are exactly 2 parameters left. if (otherArgs.size() != 2) { System.out.println("ERROR: Wrong number of parameters: " + otherArgs.size() + " instead of 2."); return printUsage(); } FileInputFormat.setInputPaths(job, otherArgs.get(0)); FileOutputFormat.setOutputPath(job, new Path(otherArgs.get(1))); if (sampler != null) { System.out.println("Sampling input to effect total-order sort..."); job.setPartitionerClass(TotalOrderPartitioner.class); Path inputDir = FileInputFormat.getInputPaths(job)[0]; inputDir = inputDir.makeQualified(inputDir.getFileSystem(conf)); Path partitionFile = new Path(inputDir, "_sortPartitioning"); TotalOrderPartitioner.setPartitionFile(job.getConfiguration(), partitionFile); InputSampler.<K, V>writePartitionFile(job, sampler); URI partitionUri = new URI(partitionFile.toString() + "#" + "_sortPartitioning"); DistributedCache.addCacheFile(partitionUri, conf); } System.out.println("Running on " + cluster.getTaskTrackers() + " nodes to sort from " + FileInputFormat.getInputPaths(job)[0] + " into " + FileOutputFormat.getOutputPath(job) + " with " + num_reduces + " reduces."); Date startTime = new Date(); System.out.println("Job started: " + startTime); int ret = job.waitForCompletion(true) ? 0 : 1; 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 ret; }
From source file:com.citic.zxyjs.zwlscx.mapreduce.lib.input.HFileOutputFormatBase.java
License:Apache License
/** * Configure <code>job</code> with a TotalOrderPartitioner, partitioning * against <code>splitPoints</code>. Cleans up the partitions file after job * exists.//from ww w .j a va 2s . co m */ static void configurePartitioner(Job job, List<ImmutableBytesWritable> splitPoints) throws IOException { // create the partitions file FileSystem fs = FileSystem.get(job.getConfiguration()); Path partitionsPath = new Path("/tmp", "partitions_" + UUID.randomUUID()); fs.makeQualified(partitionsPath); fs.deleteOnExit(partitionsPath); writePartitions(job.getConfiguration(), partitionsPath, splitPoints); // configure job to use it job.setPartitionerClass(TotalOrderPartitioner.class); TotalOrderPartitioner.setPartitionFile(job.getConfiguration(), partitionsPath); }
From source file:com.phantom.hadoop.examples.Sort.java
License:Apache License
/** * The main driver for sort program. Invoke this method to submit the * map/reduce job.//from ww w . java 2s . c o m * * @throws IOException * When there is communication problems with the job tracker. */ public int run(String[] args) throws Exception { Configuration conf = getConf(); JobClient client = new JobClient(conf); ClusterStatus cluster = client.getClusterStatus(); int num_reduces = (int) (cluster.getMaxReduceTasks() * 0.9); String sort_reduces = conf.get(REDUCES_PER_HOST); if (sort_reduces != null) { num_reduces = cluster.getTaskTrackers() * Integer.parseInt(sort_reduces); } Class<? extends InputFormat> inputFormatClass = SequenceFileInputFormat.class; Class<? extends OutputFormat> outputFormatClass = SequenceFileOutputFormat.class; Class<? extends WritableComparable> outputKeyClass = BytesWritable.class; Class<? extends Writable> outputValueClass = BytesWritable.class; List<String> otherArgs = new ArrayList<String>(); InputSampler.Sampler<K, V> sampler = null; for (int i = 0; i < args.length; ++i) { try { if ("-r".equals(args[i])) { num_reduces = Integer.parseInt(args[++i]); } else if ("-inFormat".equals(args[i])) { inputFormatClass = Class.forName(args[++i]).asSubclass(InputFormat.class); } else if ("-outFormat".equals(args[i])) { outputFormatClass = Class.forName(args[++i]).asSubclass(OutputFormat.class); } else if ("-outKey".equals(args[i])) { outputKeyClass = Class.forName(args[++i]).asSubclass(WritableComparable.class); } else if ("-outValue".equals(args[i])) { outputValueClass = Class.forName(args[++i]).asSubclass(Writable.class); } else if ("-totalOrder".equals(args[i])) { double pcnt = Double.parseDouble(args[++i]); int numSamples = Integer.parseInt(args[++i]); int maxSplits = Integer.parseInt(args[++i]); if (0 >= maxSplits) maxSplits = Integer.MAX_VALUE; sampler = new InputSampler.RandomSampler<K, V>(pcnt, numSamples, maxSplits); } else { otherArgs.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(); // exits } } // Set user-supplied (possibly default) job configs job = new Job(conf); job.setJobName("sorter"); job.setJarByClass(Sort.class); job.setMapperClass(Mapper.class); job.setReducerClass(Reducer.class); job.setNumReduceTasks(num_reduces); job.setInputFormatClass(inputFormatClass); job.setOutputFormatClass(outputFormatClass); job.setOutputKeyClass(outputKeyClass); job.setOutputValueClass(outputValueClass); // Make sure there are exactly 2 parameters left. if (otherArgs.size() != 2) { System.out.println("ERROR: Wrong number of parameters: " + otherArgs.size() + " instead of 2."); return printUsage(); } FileInputFormat.setInputPaths(job, otherArgs.get(0)); FileOutputFormat.setOutputPath(job, new Path(otherArgs.get(1))); if (sampler != null) { System.out.println("Sampling input to effect total-order sort..."); job.setPartitionerClass(TotalOrderPartitioner.class); Path inputDir = FileInputFormat.getInputPaths(job)[0]; inputDir = inputDir.makeQualified(inputDir.getFileSystem(conf)); Path partitionFile = new Path(inputDir, "_sortPartitioning"); TotalOrderPartitioner.setPartitionFile(conf, partitionFile); InputSampler.<K, V>writePartitionFile(job, sampler); URI partitionUri = new URI(partitionFile.toString() + "#" + "_sortPartitioning"); DistributedCache.addCacheFile(partitionUri, conf); } System.out.println("Running on " + cluster.getTaskTrackers() + " nodes to sort from " + FileInputFormat.getInputPaths(job)[0] + " into " + FileOutputFormat.getOutputPath(job) + " with " + num_reduces + " reduces."); Date startTime = new Date(); System.out.println("Job started: " + startTime); int ret = job.waitForCompletion(true) ? 0 : 1; 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 ret; }
From source file:com.savy3.nonequijoin.MapOutputSampler.java
License:Apache License
/** * Driver for InputSampler from the command line. Configures a JobConf * instance and calls {@link #writePartitionFile}. */// w w w . java 2 s. c om public int run(String[] args) throws Exception { Job job = new Job(getConf()); ArrayList<String> otherArgs = new ArrayList<String>(); Sampler<K, V> sampler = null; for (int i = 0; i < args.length; ++i) { try { if ("-r".equals(args[i])) { job.setNumReduceTasks(Integer.parseInt(args[++i])); } else if ("-inFormat".equals(args[i])) { job.setInputFormatClass(Class.forName(args[++i]).asSubclass(InputFormat.class)); } else if ("-keyClass".equals(args[i])) { job.setMapOutputKeyClass(Class.forName(args[++i]).asSubclass(WritableComparable.class)); } else if ("-splitSample".equals(args[i])) { int numSamples = Integer.parseInt(args[++i]); int maxSplits = Integer.parseInt(args[++i]); if (0 >= maxSplits) maxSplits = Integer.MAX_VALUE; sampler = new SplitSampler<K, V>(numSamples, maxSplits); } else if ("-splitRandom".equals(args[i])) { System.out.println("Random sampling"); double pcnt = Double.parseDouble(args[++i]); int numSamples = Integer.parseInt(args[++i]); int maxSplits = Integer.parseInt(args[++i]); if (0 >= maxSplits) maxSplits = Integer.MAX_VALUE; sampler = new RandomSampler<K, V>(pcnt, numSamples, maxSplits); } else if ("-splitInterval".equals(args[i])) { double pcnt = Double.parseDouble(args[++i]); int maxSplits = Integer.parseInt(args[++i]); if (0 >= maxSplits) maxSplits = Integer.MAX_VALUE; sampler = new IntervalSampler<K, V>(pcnt, maxSplits); } else { otherArgs.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(); } } if (job.getNumReduceTasks() <= 1) { System.err.println("Sampler requires more than one reducer"); return printUsage(); } if (otherArgs.size() < 2) { System.out.println("ERROR: Wrong number of parameters: "); return printUsage(); } if (null == sampler) { sampler = new RandomSampler<K, V>(0.1, 10000, 10); } System.out.println("before paths"); Path outf = new Path(otherArgs.remove(otherArgs.size() - 1)); TotalOrderPartitioner.setPartitionFile(getConf(), outf); for (String s : otherArgs) { FileInputFormat.addInputPath(job, new Path(s)); } MapOutputSampler.<K, V>writePartitionFile(job, sampler); return 0; }
From source file:crunch.MaxTemperature.java
License:Apache License
@Override
public int run(String[] args) throws Exception {
JobConf conf = JobBuilder.parseInputAndOutput(this, getConf(), args);
if (conf == null) {
return -1;
}/*w w w . j a v a2 s . c om*/
conf.setInputFormat(SequenceFileInputFormat.class);
conf.setOutputKeyClass(IntWritable.class);
conf.setOutputFormat(SequenceFileOutputFormat.class);
SequenceFileOutputFormat.setCompressOutput(conf, true);
SequenceFileOutputFormat.setOutputCompressorClass(conf, GzipCodec.class);
SequenceFileOutputFormat.setOutputCompressionType(conf, CompressionType.BLOCK);
conf.setPartitionerClass(TotalOrderPartitioner.class);
InputSampler.Sampler<IntWritable, Text> sampler = new InputSampler.RandomSampler<IntWritable, Text>(0.1,
10000, 10);
Path input = FileInputFormat.getInputPaths(conf)[0];
input = input.makeQualified(input.getFileSystem(conf));
Path partitionFile = new Path(input, "_partitions");
TotalOrderPartitioner.setPartitionFile(conf, partitionFile);
InputSampler.writePartitionFile(conf, sampler);
// Add to DistributedCache
URI partitionUri = new URI(partitionFile.toString() + "#_partitions");
DistributedCache.addCacheFile(partitionUri, conf);
DistributedCache.createSymlink(conf);
JobClient.runJob(conf);
return 0;
}
From source file:edu.buffalo.cse.dic.mapreduce.WordCount.java
License:Apache License
@Override public Map<String, Number> start(String inputFile) { try {/*from w w w.ja v a 2s. c om*/ LinkedHashMap<String, Number> topTen = new LinkedHashMap<>(); Configuration conf = new Configuration(); conf.addResource(new Path("/usr/local/hadoop/etc/hadoop/core-site.xml")); conf.addResource(new Path("/usr/local/hadoop/etc/hadoop/hdfs-site.xml")); FileSystem fs = FileSystem.get(new URI("wordcount"), conf); fs.delete(new Path("wordcount")); Job job = new Job(conf, "word count"); job.setJarByClass(WordCount.class); job.setMapperClass(TokenizerMapper.class); job.setCombinerClass(IntSumReducer.class); job.setReducerClass(IntSumReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); FileInputFormat.addInputPath(job, new Path(inputFile)); FileOutputFormat.setOutputPath(job, new Path("wordcount")); job.waitForCompletion(true); System.out.println("word count done"); FileSystem fsa = FileSystem.get(new URI("wordcount"), conf); fsa.delete(new Path("wordcountfinal")); Job sortJob = new Job(conf, "sort reducer"); sortJob.setJarByClass(SortReducerOutput.class); sortJob.setMapperClass(OutputBreaker.class); sortJob.setSortComparatorClass(ReverseComparator.class); sortJob.setReducerClass(SortByCount.class); sortJob.setOutputKeyClass(IntWritable.class); sortJob.setOutputValueClass(Text.class); sortJob.setPartitionerClass(TotalOrderPartitioner.class); Path partitionFile = new Path("trendcount", "_sortPartitioning"); TotalOrderPartitioner.setPartitionFile(sortJob.getConfiguration(), partitionFile); FileInputFormat.addInputPath(sortJob, new Path("wordcount/part-r-00000")); FileOutputFormat.setOutputPath(sortJob, new Path("wordcountfinal")); sortJob.waitForCompletion(true); System.out.println("sort word count"); Path output = new Path("wordcountfinal/part-r-00000"); FileSystem fileSystem = FileSystem.get(output.toUri(), conf); FileStatus[] items = fileSystem.listStatus(output); for (FileStatus item : items) { InputStream stream = null; // ignoring files like _SUCCESS if (item.getPath().getName().startsWith("_")) { continue; } else { stream = fileSystem.open(item.getPath()); } Scanner scan = new Scanner(stream).useDelimiter("\\n"); for (int i = 0; i < 10; i++) { if (scan.hasNext()) { String data = scan.next(); topTen.put(data.split("\\t")[1], Integer.parseInt(data.split("\\t")[0])); } } } return topTen; } catch (IOException e) { e.printStackTrace(); } catch (ClassNotFoundException e) { e.printStackTrace(); } catch (InterruptedException e) { e.printStackTrace(); } catch (URISyntaxException e) { e.printStackTrace(); } return null; }
From source file:fi.tkk.ics.hadoop.bam.cli.Utils.java
License:Open Source License
public static void configureSampling(Path workDir, String outName, Configuration conf) throws IOException { final Path partition = workDir.getFileSystem(conf) .makeQualified(new Path(workDir, "_partitioning" + outName)); TotalOrderPartitioner.setPartitionFile(conf, partition); try {//from ww w. j ava 2 s . c o m final URI partitionURI = new URI(partition.toString() + "#" + partition.getName()); if (partitionURI.getScheme().equals("file")) return; DistributedCache.addCacheFile(partitionURI, conf); DistributedCache.createSymlink(conf); } catch (URISyntaxException e) { throw new RuntimeException(e); } }
From source file:org.apache.hadoop.examples.Sort.java
License:Apache License
/** * The main driver for sort program.//from w w w. ja va2 s .c om * 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 { Configuration conf = getConf(); JobClient client = new JobClient(conf); ClusterStatus cluster = client.getClusterStatus(); int num_reduces = (int) (cluster.getMaxReduceTasks() * 0.9); String sort_reduces = conf.get(REDUCES_PER_HOST); if (sort_reduces != null) { num_reduces = cluster.getTaskTrackers() * Integer.parseInt(sort_reduces); } Class<? extends InputFormat> inputFormatClass = SequenceFileInputFormat.class; Class<? extends OutputFormat> outputFormatClass = SequenceFileOutputFormat.class; Class<? extends WritableComparable> outputKeyClass = BytesWritable.class; Class<? extends Writable> outputValueClass = BytesWritable.class; List<String> otherArgs = new ArrayList<String>(); InputSampler.Sampler<K, V> sampler = null; for (int i = 0; i < args.length; ++i) { try { if ("-r".equals(args[i])) { num_reduces = Integer.parseInt(args[++i]); } else if ("-inFormat".equals(args[i])) { inputFormatClass = Class.forName(args[++i]).asSubclass(InputFormat.class); } else if ("-outFormat".equals(args[i])) { outputFormatClass = Class.forName(args[++i]).asSubclass(OutputFormat.class); } else if ("-outKey".equals(args[i])) { outputKeyClass = Class.forName(args[++i]).asSubclass(WritableComparable.class); } else if ("-outValue".equals(args[i])) { outputValueClass = Class.forName(args[++i]).asSubclass(Writable.class); } else if ("-totalOrder".equals(args[i])) { double pcnt = Double.parseDouble(args[++i]); int numSamples = Integer.parseInt(args[++i]); int maxSplits = Integer.parseInt(args[++i]); if (0 >= maxSplits) maxSplits = Integer.MAX_VALUE; sampler = new InputSampler.RandomSampler<K, V>(pcnt, numSamples, maxSplits); } else { otherArgs.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(); // exits } } // Set user-supplied (possibly default) job configs job = Job.getInstance(conf); job.setJobName("sorter"); job.setJarByClass(Sort.class); job.setMapperClass(Mapper.class); job.setReducerClass(Reducer.class); job.setNumReduceTasks(num_reduces); job.setInputFormatClass(inputFormatClass); job.setOutputFormatClass(outputFormatClass); job.setOutputKeyClass(outputKeyClass); job.setOutputValueClass(outputValueClass); // Make sure there are exactly 2 parameters left. if (otherArgs.size() != 2) { System.out.println("ERROR: Wrong number of parameters: " + otherArgs.size() + " instead of 2."); return printUsage(); } FileInputFormat.setInputPaths(job, otherArgs.get(0)); FileOutputFormat.setOutputPath(job, new Path(otherArgs.get(1))); if (sampler != null) { System.out.println("Sampling input to effect total-order sort..."); job.setPartitionerClass(TotalOrderPartitioner.class); Path inputDir = FileInputFormat.getInputPaths(job)[0]; FileSystem fs = inputDir.getFileSystem(conf); inputDir = inputDir.makeQualified(fs.getUri(), fs.getWorkingDirectory()); Path partitionFile = new Path(inputDir, "_sortPartitioning"); TotalOrderPartitioner.setPartitionFile(conf, partitionFile); InputSampler.<K, V>writePartitionFile(job, sampler); URI partitionUri = new URI(partitionFile.toString() + "#" + "_sortPartitioning"); job.addCacheFile(partitionUri); } System.out.println("Running on " + cluster.getTaskTrackers() + " nodes to sort from " + FileInputFormat.getInputPaths(job)[0] + " into " + FileOutputFormat.getOutputPath(job) + " with " + num_reduces + " reduces."); Date startTime = new Date(); System.out.println("Job started: " + startTime); int ret = job.waitForCompletion(true) ? 0 : 1; 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 ret; }
From source file:org.apache.kylin.storage.hbase.steps.CubeHFileJob.java
License:Apache License
/** * Check if there's partition files for hfile, if yes replace the table splits, to make the job more reducers * @param conf the job configuration//from w w w . j a va 2 s .c om * @param path the hfile partition file * @throws IOException */ @SuppressWarnings("deprecation") private void reconfigurePartitions(Configuration conf, Path path) throws IOException { FileSystem fs = path.getFileSystem(conf); if (fs.exists(path)) { try (SequenceFile.Reader reader = new SequenceFile.Reader(fs, path, conf)) { int partitionCount = 0; Writable key = (Writable) ReflectionUtils.newInstance(reader.getKeyClass(), conf); Writable value = (Writable) ReflectionUtils.newInstance(reader.getValueClass(), conf); while (reader.next(key, value)) { partitionCount++; } TotalOrderPartitioner.setPartitionFile(job.getConfiguration(), path); // The reduce tasks should be one more than partition keys job.setNumReduceTasks(partitionCount + 1); } } else { logger.info("File '" + path.toString() + " doesn't exist, will not reconfigure hfile Partitions"); } }