List of usage examples for org.apache.hadoop.mapreduce.lib.partition TotalOrderPartitioner DEFAULT_PATH
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From source file:com.ailk.oci.ocnosql.tools.load.single.SingleColumnImportTsv.java
License:Apache License
/** * Configure a MapReduce Job to perform an incremental load into the given * table. This/*from ww w .j a v a2 s . c o m*/ * <ul> * <li>Inspects the table to configure a total order partitioner</li> * <li>Uploads the partitions file to the cluster and adds it to the DistributedCache</li> * <li>Sets the number of reduce tasks to match the current number of regions</li> * <li>Sets the output key/value class to match HFileOutputFormat's requirements</li> * <li>Sets the reducer up to perform the appropriate sorting (either KeyValueSortReducer or * PutSortReducer)</li> * </ul> * The user should be sure to set the map output value class to either KeyValue or Put before * running this function. */ public static void configureIncrementalLoad(Job job, HTable table) throws IOException { Configuration conf = job.getConfiguration(); Class<? extends Partitioner> topClass; try { topClass = getTotalOrderPartitionerClass(); } catch (ClassNotFoundException e) { throw new IOException("Failed getting TotalOrderPartitioner", e); } //partition job.setPartitionerClass(topClass); //Set the key class for the job output data job.setOutputKeyClass(ImmutableBytesWritable.class); //Set the value class for job outputs job.setOutputValueClass(KeyValue.class); //outputformatHfile job.setOutputFormatClass(HFileOutputFormat2.class); // Based on the configured map output class, set the correct reducer to properly // sort the incoming values. // TODO it would be nice to pick one or the other of these formats. if (KeyValue.class.equals(job.getMapOutputValueClass())) { job.setReducerClass(KeyValueSortReducer.class); } else if (Put.class.equals(job.getMapOutputValueClass())) { job.setReducerClass(SingleColumnReducer.class); } else { LOG.warn("Unknown map output value type:" + job.getMapOutputValueClass()); } LOG.info("Looking up current regions for table " + table); //?regionstarkey List<ImmutableBytesWritable> startKeys = getRegionStartKeys(table); LOG.info("Configuring " + startKeys.size() + " reduce partitions " + "to match current region count"); //?region?reduce? job.setNumReduceTasks(startKeys.size()); Path partitionsPath = new Path(job.getWorkingDirectory(), "partitions_" + UUID.randomUUID()); LOG.info("Writing partition information to " + partitionsPath); FileSystem fs = partitionsPath.getFileSystem(conf); writePartitions(conf, partitionsPath, startKeys); partitionsPath.makeQualified(fs); URI cacheUri; try { // Below we make explicit reference to the bundled TOP. Its cheating. // We are assume the define in the hbase bundled TOP is as it is in // hadoop (whether 0.20 or 0.22, etc.) /* cacheUri = new URI(partitionsPath.toString() + "#" + org.apache.hadoop.hbase.mapreduce.hadoopbackport.TotalOrderPartitioner.DEFAULT_PATH); */ cacheUri = new URI(partitionsPath.toString() + "#" + TotalOrderPartitioner.DEFAULT_PATH); } catch (URISyntaxException e) { throw new IOException(e); } DistributedCache.addCacheFile(cacheUri, conf); DistributedCache.createSymlink(conf); // Set compression algorithms based on column families configureCompression(table, conf); TableMapReduceUtil.addDependencyJars(job); LOG.info("Incremental table output configured."); }
From source file:com.moz.fiji.mapreduce.output.HFileMapReduceJobOutput.java
License:Apache License
/** * Configures the partitioner for generating HFiles. * * <p>Each generated HFile should fit within a region of of the target table. * Additionally, it's optimal to have only one HFile to load into each region, since a * read from that region will require reading from each HFile under management (until * compaction happens and merges them all back into one HFile).</p> * * <p>To achieve this, we configure a TotalOrderPartitioner that will partition the * records output from the Mapper based on their rank in a total ordering of the * keys. The <code>startKeys</code> argument should contain a list of the first key in * each of those partitions.</p>/*from w w w .j a v a 2s . c om*/ * * @param job The job to configure. * @param startKeys A list of keys that will mark the boundaries between the partitions * for the sorted map output records. * @throws IOException If there is an error. */ public static void configurePartitioner(Job job, List<HFileKeyValue> startKeys) throws IOException { FijiMRPlatformBridge.get().setTotalOrderPartitionerClass(job); LOG.info("Configuring " + startKeys.size() + " reduce partitions."); job.setNumReduceTasks(startKeys.size()); // Write the file that the TotalOrderPartitioner reads to determine where to partition records. Path partitionFilePath = new Path(job.getWorkingDirectory(), "partitions_" + System.currentTimeMillis()); LOG.info("Writing partition information to " + partitionFilePath); final FileSystem fs = partitionFilePath.getFileSystem(job.getConfiguration()); partitionFilePath = partitionFilePath.makeQualified(fs); writePartitionFile(job.getConfiguration(), partitionFilePath, startKeys); // Add it to the distributed cache. try { final URI cacheUri = new URI(partitionFilePath.toString() + "#" + TotalOrderPartitioner.DEFAULT_PATH); DistributedCache.addCacheFile(cacheUri, job.getConfiguration()); } catch (URISyntaxException e) { throw new IOException(e); } DistributedCache.createSymlink(job.getConfiguration()); }
From source file:crunch.MaxTemperature.java
License:Apache License
@Override
public int run(String[] args) throws Exception {
Job job = JobBuilder.parseInputAndOutput(this, getConf(), args);
if (job == null) {
return -1;
}//w ww . j a v a 2 s.c o m
job.setInputFormatClass(SequenceFileInputFormat.class);
job.setOutputKeyClass(IntWritable.class);
job.setOutputFormatClass(SequenceFileOutputFormat.class);
SequenceFileOutputFormat.setCompressOutput(job, true);
SequenceFileOutputFormat.setOutputCompressorClass(job, GzipCodec.class);
SequenceFileOutputFormat.setOutputCompressionType(job, CompressionType.BLOCK);
job.setPartitionerClass(TotalOrderPartitioner.class);
InputSampler.Sampler<IntWritable, Text> sampler = new InputSampler.RandomSampler<IntWritable, Text>(0.1,
10000, 10);
InputSampler.writePartitionFile(job, sampler);
// Add to DistributedCache
Configuration conf = job.getConfiguration();
String partitionFile = TotalOrderPartitioner.getPartitionFile(conf);
URI partitionUri = new URI(partitionFile + "#" + TotalOrderPartitioner.DEFAULT_PATH);
DistributedCache.addCacheFile(partitionUri, conf);
DistributedCache.createSymlink(conf);
return job.waitForCompletion(true) ? 0 : 1;
}
From source file:org.rdfhdt.mrbuilder.HDTBuilderDriver.java
License:Open Source License
protected boolean runDictionaryJob() throws ClassNotFoundException, IOException, InterruptedException, URISyntaxException { boolean jobOK; Job job = null;//from ww w. j av a2 s .c o m BufferedWriter bufferedWriter; // if output path exists... if (this.dictionaryFS.exists(this.conf.getDictionaryOutputPath())) { if (this.conf.getDeleteDictionaryOutputPath()) { // ... and option provided, delete recursively this.dictionaryFS.delete(this.conf.getDictionaryOutputPath(), true); } else { // ... and option not provided, fail System.out.println("Dictionary output path does exist: " + this.conf.getDictionaryOutputPath()); System.out.println("Select other path or use option -dd to overwrite"); System.exit(-1); } } // Sample the SequenceInputFormat to do TotalSort and create final output job = new Job(this.conf.getConfigurationObject(), this.conf.getDictionaryJobName() + " phase 2"); job.setJarByClass(HDTBuilderDriver.class); System.out.println("samples = " + this.conf.getDictionarySamplesPath()); System.out.println("output = " + this.conf.getDictionaryOutputPath()); FileInputFormat.addInputPath(job, this.conf.getDictionarySamplesPath()); FileOutputFormat.setOutputPath(job, this.conf.getDictionaryOutputPath()); job.setInputFormatClass(SequenceFileInputFormat.class); LazyOutputFormat.setOutputFormatClass(job, SequenceFileOutputFormat.class); // Identity Mapper // job.setMapperClass(Mapper.class); job.setCombinerClass(DictionaryCombiner.class); job.setPartitionerClass(TotalOrderPartitioner.class); job.setReducerClass(DictionaryReducer.class); job.setNumReduceTasks(this.conf.getDictionaryReducers()); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(Text.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(NullWritable.class); System.out.println("Sampling started"); InputSampler.writePartitionFile(job, new InputSampler.IntervalSampler<Text, Text>(this.conf.getSampleProbability())); String partitionFile = TotalOrderPartitioner.getPartitionFile(job.getConfiguration()); URI partitionUri = new URI(partitionFile + "#" + TotalOrderPartitioner.DEFAULT_PATH); DistributedCache.addCacheFile(partitionUri, job.getConfiguration()); DistributedCache.createSymlink(job.getConfiguration()); System.out.println("Sampling finished"); MultipleOutputs.addNamedOutput(job, HDTBuilderConfiguration.SHARED, SequenceFileOutputFormat.class, Text.class, NullWritable.class); MultipleOutputs.addNamedOutput(job, HDTBuilderConfiguration.SUBJECTS, SequenceFileOutputFormat.class, Text.class, NullWritable.class); MultipleOutputs.addNamedOutput(job, HDTBuilderConfiguration.PREDICATES, SequenceFileOutputFormat.class, Text.class, NullWritable.class); MultipleOutputs.addNamedOutput(job, HDTBuilderConfiguration.OBJECTS, SequenceFileOutputFormat.class, Text.class, NullWritable.class); SequenceFileOutputFormat.setCompressOutput(job, true); SequenceFileOutputFormat.setOutputCompressorClass(job, com.hadoop.compression.lzo.LzoCodec.class); SequenceFileOutputFormat.setOutputCompressionType(job, SequenceFile.CompressionType.BLOCK); jobOK = job.waitForCompletion(true); this.numShared = job.getCounters().findCounter(Counters.Shared).getValue(); this.numSubjects = job.getCounters().findCounter(Counters.Subjects).getValue(); this.numPredicates = job.getCounters().findCounter(Counters.Predicates).getValue(); this.numObjects = job.getCounters().findCounter(Counters.Objects).getValue(); bufferedWriter = new BufferedWriter( new OutputStreamWriter(this.dictionaryFS.create(this.conf.getDictionaryCountersFile()))); bufferedWriter.write(HDTBuilderConfiguration.SHARED + "=" + this.numShared + "\n"); bufferedWriter.write(HDTBuilderConfiguration.SUBJECTS + "=" + this.numSubjects + "\n"); bufferedWriter.write(HDTBuilderConfiguration.PREDICATES + "=" + this.numPredicates + "\n"); bufferedWriter.write(HDTBuilderConfiguration.OBJECTS + "=" + this.numObjects + "\n"); bufferedWriter.close(); return jobOK; }
From source file:org.rdfhdt.mrbuilder.HDTBuilderDriver.java
License:Open Source License
protected boolean runTriplesJob() throws IOException, ClassNotFoundException, InterruptedException, URISyntaxException { Job job = null;/*from ww w .ja va 2 s .c o m*/ boolean jobOK; // if triples output path exists... if (this.triplesFS.exists(this.conf.getTriplesOutputPath())) { if (this.conf.getDeleteTriplesOutputPath()) { // ... and option provided, delete recursively this.triplesFS.delete(this.conf.getTriplesOutputPath(), true); } else { // ... and option not provided, fail System.out.println("Triples output path does exist: " + this.conf.getTriplesOutputPath()); System.out.println("Select other path or use option -dt to overwrite"); System.exit(-1); } } job = new Job(this.conf.getConfigurationObject(), this.conf.getTriplesJobName() + " phase 2"); job.setJarByClass(HDTBuilderDriver.class); FileInputFormat.addInputPath(job, this.conf.getTriplesSamplesPath()); FileOutputFormat.setOutputPath(job, this.conf.getTriplesOutputPath()); job.setInputFormatClass(SequenceFileInputFormat.class); LazyOutputFormat.setOutputFormatClass(job, SequenceFileOutputFormat.class); job.setSortComparatorClass(TripleSPOComparator.class); job.setGroupingComparatorClass(TripleSPOComparator.class); job.setPartitionerClass(TotalOrderPartitioner.class); job.setOutputKeyClass(TripleSPOWritable.class); job.setOutputValueClass(NullWritable.class); job.setNumReduceTasks(this.conf.getTriplesReducers()); System.out.println("Sampling started"); InputSampler.writePartitionFile(job, new InputSampler.IntervalSampler<Text, Text>(this.conf.getSampleProbability())); String partitionFile = TotalOrderPartitioner.getPartitionFile(job.getConfiguration()); URI partitionUri = new URI(partitionFile + "#" + TotalOrderPartitioner.DEFAULT_PATH); DistributedCache.addCacheFile(partitionUri, job.getConfiguration()); DistributedCache.createSymlink(job.getConfiguration()); System.out.println("Sampling finished"); SequenceFileOutputFormat.setCompressOutput(job, true); SequenceFileOutputFormat.setOutputCompressorClass(job, com.hadoop.compression.lzo.LzoCodec.class); SequenceFileOutputFormat.setOutputCompressionType(job, SequenceFile.CompressionType.BLOCK); jobOK = job.waitForCompletion(true); return jobOK; }