List of usage examples for org.apache.hadoop.mapreduce Job setJarByClass
public void setJarByClass(Class<?> cls)
From source file:com.github.ygf.pagerank.PageRank.java
License:Apache License
private void summarizeResults(int iter, Configuration conf, Path outputDir) throws Exception { // This job creates a plain text file with the top N PageRanks and the // titles of the pages. Each map task emits the top N PageRanks it // receives, and the reduce task merges the partial results into the // global top N PageRanks. A single reducer is used in the job in order // to have access to all the individual top N PageRanks from the // mappers. The reducer looks up the titles in the index built by // TitleIndex. This job was designed considering that N is small. int topResults = Integer.parseInt(conf.get("pagerank.top_results")); Job job = Job.getInstance(conf, "PageRank:TopN"); job.setJarByClass(PageRank.class); job.setInputFormatClass(SequenceFileInputFormat.class); job.setMapperClass(PageRankTopNMapper.class); job.setMapOutputKeyClass(FloatWritable.class); job.setMapOutputValueClass(IntWritable.class); job.setReducerClass(PageRankTopNReducer.class); job.setOutputFormatClass(TextOutputFormat.class); job.setOutputKeyClass(FloatWritable.class); job.setOutputValueClass(Text.class); FileInputFormat.addInputPath(job, new Path(outputDir, "v" + iter)); FileOutputFormat.setOutputPath(job, new Path(outputDir, "v" + iter + "-top" + topResults)); job.setNumReduceTasks(1);/*from w ww . j ava 2 s . c o m*/ job.waitForCompletion(true); }
From source file:com.github.ygf.pagerank.TitleIndex.java
License:Apache License
public int run(String[] args) throws Exception { if (args.length != 2) { System.out.println("Usage: TitleIndex <titles-sorted.txt> <output-dir>"); ToolRunner.printGenericCommandUsage(System.out); return 2; }//from w w w . j a v a2 s .c om Path titlesFile = new Path(args[0]); Path outputDir = new Path(args[1]); Configuration conf = getConf(); // Do not create _SUCCESS files. MapFileOutputFormat.getReaders calls // try to read the _SUCCESS as another MapFile dir. conf.set("mapreduce.fileoutputcommitter.marksuccessfuljobs", "false"); // This job creates a MapFile of the titles indexed by the page id. // UnsplittableTextInputFormat is used to ensure that the same map task // gets all the lines in the titlesFile and it can count the line // numbers. The number of reduce tasks is set to 0. Job job = Job.getInstance(conf, "TitleIndex"); job.setJarByClass(InLinks.class); job.setInputFormatClass(UnsplittableTextInputFormat.class); job.setMapperClass(TitleIndexMapper.class); job.setOutputFormatClass(MapFileOutputFormat.class); job.setOutputKeyClass(IntWritable.class); job.setOutputValueClass(Text.class); FileInputFormat.addInputPath(job, titlesFile); FileOutputFormat.setOutputPath(job, outputDir); job.setNumReduceTasks(0); job.waitForCompletion(true); return 0; }
From source file:com.goldsaxfoundation.bigdata.Module5.SimpleMapReduce.java
License:Apache License
public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); Job job = new Job(conf, "wordcount"); job.setJarByClass(SimpleMapReduce.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); job.setMapperClass(Map.class); job.setReducerClass(Reduce.class); job.setInputFormatClass(TextInputFormat.class); job.setOutputFormatClass(TextOutputFormat.class); FileInputFormat.addInputPath(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); job.waitForCompletion(true);/*from w w w. java2 s . c o m*/ }
From source file:com.google.cloud.bigtable.mapreduce.Export.java
License:Apache License
/** * Sets up the actual job.//from w w w . ja v a 2s . c om * * @param conf The current configuration. * @param args The command line parameters. * @return The newly created job. * @throws java.io.IOException When setting up the job fails. */ public static Job createSubmittableJob(Configuration conf, String[] args) throws IOException { conf.setIfUnset("hbase.client.connection.impl", BigtableConfiguration.getConnectionClass().getName()); conf.setIfUnset(BigtableOptionsFactory.BIGTABLE_RPC_TIMEOUT_MS_KEY, "60000"); conf.setBoolean(TableInputFormat.SHUFFLE_MAPS, true); String tableName = args[0]; Path outputDir = new Path(args[1]); Job job = Job.getInstance(conf, NAME + "_" + tableName); job.setJobName(NAME + "_" + tableName); job.setJarByClass(Export.class); // Set optional scan parameters Scan s = getConfiguredScanForJob(conf, args); TableMapReduceUtil.initTableMapperJob(tableName, s, IdentityTableMapper.class, ImmutableBytesWritable.class, Result.class, job, false); // No reducers. Just write straight to output files. job.setNumReduceTasks(0); job.setOutputFormatClass(SequenceFileOutputFormat.class); job.setOutputKeyClass(ImmutableBytesWritable.class); job.setOutputValueClass(Result.class); FileOutputFormat.setOutputPath(job, outputDir); // job conf doesn't contain the conf so doesn't have a default fs. return job; }
From source file:com.google.cloud.bigtable.mapreduce.Import.java
License:Open Source License
/** * Sets up the actual job./* w ww. j a v a2 s. c om*/ * @param conf The current configuration. * @param args The command line parameters. * @return The newly created job. * @throws IOException When setting up the job fails. */ public static Job createSubmittableJob(Configuration conf, String[] args) throws IOException { TableName tableName = TableName.valueOf(args[0]); conf.set(TABLE_NAME, tableName.getNameAsString()); Path inputDir = new Path(args[1]); Job job = Job.getInstance(conf, conf.get(JOB_NAME_CONF_KEY, NAME + "_" + tableName)); job.setJarByClass(Importer.class); FileInputFormat.setInputPaths(job, inputDir); job.setInputFormatClass(SequenceFileInputFormat.class); String hfileOutPath = conf.get(BULK_OUTPUT_CONF_KEY); // make sure we get the filter in the jars try { Class<? extends Filter> filter = conf.getClass(FILTER_CLASS_CONF_KEY, null, Filter.class); if (filter != null) { TableMapReduceUtil.addDependencyJars(conf, filter); } } catch (Exception e) { throw new IOException(e); } if (hfileOutPath != null) { job.setMapperClass(KeyValueImporter.class); try (Connection conn = ConnectionFactory.createConnection(conf); Table table = conn.getTable(tableName); RegionLocator regionLocator = conn.getRegionLocator(tableName)) { job.setReducerClass(KeyValueSortReducer.class); Path outputDir = new Path(hfileOutPath); FileOutputFormat.setOutputPath(job, outputDir); job.setMapOutputKeyClass(ImmutableBytesWritable.class); job.setMapOutputValueClass(KeyValue.class); HFileOutputFormat2.configureIncrementalLoad(job, table, regionLocator); TableMapReduceUtil.addDependencyJars(job.getConfiguration(), com.google.common.base.Preconditions.class); } } else { // No reducers. Just write straight to table. Call initTableReducerJob // because it sets up the TableOutputFormat. job.setMapperClass(Importer.class); TableMapReduceUtil.initTableReducerJob(tableName.getNameAsString(), null, job); job.setNumReduceTasks(0); } return job; }
From source file:com.gsinnovations.howdah.AbstractJob.java
License:Apache License
protected Job prepareJob(Path inputPath, Path outputPath, Class<? extends InputFormat> inputFormat, Class<? extends Mapper> mapper, Class<? extends Writable> mapperKey, Class<? extends Writable> mapperValue, Class<? extends Reducer> reducer, Class<? extends Writable> reducerKey, Class<? extends Writable> reducerValue, Class<? extends OutputFormat> outputFormat) throws IOException { Job job = new Job(new Configuration(getConf())); Configuration jobConf = job.getConfiguration(); if (reducer.equals(Reducer.class)) { if (mapper.equals(Mapper.class)) { throw new IllegalStateException("Can't figure out the user class jar file from mapper/reducer"); }/*w w w . jav a2 s .c o m*/ job.setJarByClass(mapper); } else { job.setJarByClass(reducer); } job.setInputFormatClass(inputFormat); jobConf.set("mapred.input.dir", inputPath.toString()); job.setMapperClass(mapper); job.setMapOutputKeyClass(mapperKey); job.setMapOutputValueClass(mapperValue); jobConf.setBoolean("mapred.compress.map.output", true); job.setReducerClass(reducer); job.setOutputKeyClass(reducerKey); job.setOutputValueClass(reducerValue); job.setJobName(getCustomJobName(job, mapper, reducer)); job.setOutputFormatClass(outputFormat); jobConf.set("mapred.output.dir", outputPath.toString()); return job; }
From source file:com.gsinnovations.howdah.Driver.java
License:Apache License
public static void job(Path input, Path output, int numReduceTasks) throws IOException, ClassNotFoundException, InterruptedException { Configuration conf = new Configuration(); Job job = new Job(conf); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(Text.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(Text.class); job.setInputFormatClass(SequenceFileInputFormat.class); job.setOutputFormatClass(SequenceFileOutputFormat.class); job.setMapperClass(TikaMapper.class); //job.setCombinerClass(KMeansCombiner.class); //job.setReducerClass(KMeansReducer.class); job.setNumReduceTasks(numReduceTasks); FileInputFormat.addInputPath(job, input); FileOutputFormat.setOutputPath(job, output); job.setJarByClass(Driver.class); HadoopUtil.overwriteOutput(output);//from www . j a v a2 s. co m job.waitForCompletion(true); }
From source file:com.gsvic.csmr.CSMRBase.java
License:Apache License
public static void generatePairs(String in, String out) throws IOException, InterruptedException, ClassNotFoundException { Configuration conf = new Configuration(); path = out;//from w w w . j ava 2s.c o m Job job; Path input, output; input = new Path(in); output = new Path(path + "/CSMRPairs"); job = new Job(conf); job.setJobName("CSMR Pairs Job"); job.setJarByClass(CSMRBase.class); FileInputFormat.addInputPath(job, input); FileOutputFormat.setOutputPath(job, output); job.setMapperClass(CSMRMapper.class); job.setReducerClass(CSMRReducer.class); job.setInputFormatClass(SequenceFileInputFormat.class); job.setOutputFormatClass(SequenceFileOutputFormat.class); job.setMapOutputKeyClass(IntWritable.class); job.setMapOutputValueClass(DocumentWritable.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(VectorArrayWritable.class); job.waitForCompletion(true); }
From source file:com.gsvic.csmr.CSMRBase.java
License:Apache License
public static void StartCSMR() throws IOException, InterruptedException, ClassNotFoundException { Configuration conf = new Configuration(); Job job; job = new Job(conf); job.setJobName("CSMR Cosine Similarity Job"); job.setJarByClass(CSMRBase.class); FileInputFormat.addInputPath(job, new Path(path + "/CSMRPairs/part-r-00000")); FileOutputFormat.setOutputPath(job, new Path(path + "/Results")); job.setMapperClass(Mapper.class); job.setReducerClass(CosineSimilarityReducer.class); job.setInputFormatClass(SequenceFileInputFormat.class); job.setMapOutputKeyClass(Text.class); job.setMapOutputValueClass(VectorArrayWritable.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(DoubleWritable.class); System.exit(job.waitForCompletion(true) ? 1 : 0); }
From source file:com.hadoop.examples.secondSort.SecondarySort.java
License:Apache License
public static void main(String[] args) throws Exception { // ?hadoop?/*from w w w . j a v a 2 s . c o m*/ Configuration conf = new Configuration(); String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs(); if (otherArgs.length != 2) { System.err.println("Usage: secondarysort <in> <out>"); System.exit(2); } // ? Job job = new Job(conf, "secondary sort"); job.setJarByClass(SecondarySort.class); // Mapper job.setMapperClass(MapClass.class); // ???CombinerCombiner<Text, IntWritable>Reduce<IntPair, IntWritable>? //job.setCombinerClass(Reduce.class); // Reducer job.setReducerClass(Reduce.class); // * // *group and partition by the first int in the pair job.setPartitionerClass(FirstPartitioner.class); //setSortComparatorClass()hadoopkey?(?2.Hadoopkey?) //IntPair?compareTo() //job.setSortComparatorClass(cls); // * job.setGroupingComparatorClass(FirstGroupingComparator.class); // map Key // the map output is IntPair, IntWritable job.setMapOutputKeyClass(IntPair.class); // mapValue job.setMapOutputValueClass(IntWritable.class); // rduceKeyTextOutputFormatClassTextOutputFormat // the reduce output is Text, IntWritable job.setOutputKeyClass(Text.class); // rduceValue job.setOutputValueClass(IntWritable.class); FileInputFormat.addInputPath(job, new Path(otherArgs[0])); FileOutputFormat.setOutputPath(job, new Path(otherArgs[1])); // ??job System.exit(job.waitForCompletion(true) ? 0 : 1); }