public static void main(String[] args) throws Exception {
new JobConf().setSpeculativeExecution(false);
Configuration conf = new Configuration();
conf.set("es.nodes", ES_NODES);
conf.set("es.resource", ES_RESOURCE);
conf.set("es.mapping.id", HBaseTableMapper.ID_FIELD.toString());
conf.set("es.batch.size.bytes", "10mb");
conf.set("es.batch.size.entries", "10000");
conf.set("es.batch.write.refresh", "false");
Job job = new Job(conf);
job.setJarByClass(BulkIndex.class);
job.setMapperClass(HBaseTableMapper.class);
job.setNumReduceTasks(0);
job.setSpeculativeExecution(false);
job.setOutputFormatClass(BulkProcessorOutputFormat.class);
job.setMapOutputValueClass(Text.class);
Scan scan = new Scan();
scan.setCaching(1000);
scan.setCacheBlocks(false);
TableMapReduceUtil.initTableMapperJob(
BulkLoad.HBASE_TABLE_NAME,
scan,
HBaseTableMapper.class,
NullWritable.class,
MapWritable.class,
job);
job.waitForCompletion(true);
}
public static void main(String[] args) throws Exception {
Configuration conf = HBaseConfiguration.create();
String inputPath = args[0];
String outputPath = args[1];
HTable hTable = new HTable(conf, "bigd24-hbase-sample");
Job job = new Job(conf, "HBase_Bulk_loader");
job.setMapOutputKeyClass(ImmutableBytesWritable.class);
job.setMapOutputValueClass(Put.class);
job.setSpeculativeExecution(false);
job.setReduceSpeculativeExecution(false);
job.setInputFormatClass(TextInputFormat.class);
job.setOutputFormatClass(HFileOutputFormat.class);
job.setJarByClass(HBaseBulkLoad.class);
job.setMapperClass(HBaseBulkLoad.BulkLoadMap.class);
FileInputFormat.setInputPaths(job, inputPath);
FileOutputFormat.setOutputPath(job, new Path(outputPath));
HFileOutputFormat.configureIncrementalLoad(job, hTable);
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
/** @param args */
@Override
public int run(String[] args) throws Exception {
Opts opts = new Opts();
opts.parseArgs(getClass().getName(), args);
Job job = JobUtil.getJob(getConf());
job.setJobName(getClass().getSimpleName());
job.setJarByClass(getClass());
opts.setAccumuloConfigs(job);
job.setInputFormatClass(TextInputFormat.class);
job.setOutputFormatClass(AccumuloOutputFormat.class);
job.setMapperClass(NGramMapper.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(Mutation.class);
job.setNumReduceTasks(0);
job.setSpeculativeExecution(false);
if (!opts.getConnector().tableOperations().exists(opts.tableName)) {
log.info("Creating table " + opts.tableName);
opts.getConnector().tableOperations().create(opts.tableName);
SortedSet<Text> splits = new TreeSet<Text>();
String numbers[] = "1 2 3 4 5 6 7 8 9".split("\\s");
String lower[] = "a b c d e f g h i j k l m n o p q r s t u v w x y z".split("\\s");
String upper[] = "A B C D E F G H I J K L M N O P Q R S T U V W X Y Z".split("\\s");
for (String[] array : new String[][] {numbers, lower, upper}) {
for (String s : array) {
splits.add(new Text(s));
}
}
opts.getConnector().tableOperations().addSplits(opts.tableName, splits);
}
TextInputFormat.addInputPath(job, new Path(opts.inputDirectory));
job.waitForCompletion(true);
return job.isSuccessful() ? 0 : 1;
}
@Override
public int run(String[] args) throws Exception {
final Configuration conf = getConf();
conf.set("fs.defaultFS", "file:///");
final Job job = Job.getInstance(conf, JOB_NAME);
job.setJarByClass(getClass());
FileInputFormat.setInputPaths(job, new Path(TEST_DATA_LOCATION));
FileOutputFormat.setOutputPath(job, cleanPathForReuse(conf, OUTPUT_PATH));
job.setMapperClass(SimpleFeatureToAccumuloKeyValueMapper.class);
job.setReducerClass(Reducer.class); // (Identity Reducer)
job.setInputFormatClass(GeonamesDataFileInputFormat.class);
job.setOutputFormatClass(AccumuloFileOutputFormat.class);
job.setMapOutputKeyClass(Key.class);
job.setMapOutputValueClass(Value.class);
job.setOutputKeyClass(Key.class);
job.setOutputValueClass(Value.class);
job.setNumReduceTasks(1);
job.setSpeculativeExecution(false);
boolean result = job.waitForCompletion(true);
mapInputRecords =
job.getCounters().findCounter(TASK_COUNTER_GROUP_NAME, MAP_INPUT_RECORDS).getValue();
mapOutputRecords =
job.getCounters().findCounter(TASK_COUNTER_GROUP_NAME, MAP_OUTPUT_RECORDS).getValue();
return result ? 0 : 1;
}
@VisibleForTesting
public Job createJob(
int numMapper,
int numReducer,
int iReduceStagesCount,
int numIReducer,
long mapSleepTime,
int mapSleepCount,
long reduceSleepTime,
int reduceSleepCount,
long iReduceSleepTime,
int iReduceSleepCount)
throws IOException {
Configuration conf = getConf();
conf.setLong(MAP_SLEEP_TIME, mapSleepTime);
conf.setLong(REDUCE_SLEEP_TIME, reduceSleepTime);
conf.setLong(IREDUCE_SLEEP_TIME, iReduceSleepTime);
conf.setInt(MAP_SLEEP_COUNT, mapSleepCount);
conf.setInt(REDUCE_SLEEP_COUNT, reduceSleepCount);
conf.setInt(IREDUCE_SLEEP_COUNT, iReduceSleepCount);
conf.setInt(MRJobConfig.NUM_MAPS, numMapper);
conf.setInt(IREDUCE_STAGES_COUNT, iReduceStagesCount);
conf.setInt(IREDUCE_TASKS_COUNT, numIReducer);
// Configure intermediate reduces
conf.setInt(
org.apache.tez.mapreduce.hadoop.MRJobConfig.MRR_INTERMEDIATE_STAGES, iReduceStagesCount);
LOG.info("Running MRR with " + iReduceStagesCount + " IR stages");
for (int i = 1; i <= iReduceStagesCount; ++i) {
// Set reducer class for intermediate reduce
conf.setClass(
MultiStageMRConfigUtil.getPropertyNameForIntermediateStage(
i, "mapreduce.job.reduce.class"),
ISleepReducer.class,
Reducer.class);
// Set reducer output key class
conf.setClass(
MultiStageMRConfigUtil.getPropertyNameForIntermediateStage(
i, "mapreduce.map.output.key.class"),
IntWritable.class,
Object.class);
// Set reducer output value class
conf.setClass(
MultiStageMRConfigUtil.getPropertyNameForIntermediateStage(
i, "mapreduce.map.output.value.class"),
IntWritable.class,
Object.class);
conf.setInt(
MultiStageMRConfigUtil.getPropertyNameForIntermediateStage(i, "mapreduce.job.reduces"),
numIReducer);
}
Job job = Job.getInstance(conf, "sleep");
job.setNumReduceTasks(numReducer);
job.setJarByClass(MRRSleepJob.class);
job.setNumReduceTasks(numReducer);
job.setMapperClass(SleepMapper.class);
job.setMapOutputKeyClass(IntWritable.class);
job.setMapOutputValueClass(IntWritable.class);
job.setReducerClass(SleepReducer.class);
job.setOutputFormatClass(NullOutputFormat.class);
job.setInputFormatClass(SleepInputFormat.class);
job.setPartitionerClass(MRRSleepJobPartitioner.class);
job.setSpeculativeExecution(false);
job.setJobName("Sleep job");
FileInputFormat.addInputPath(job, new Path("ignored"));
return job;
}
/**
* Run a map/reduce job for estimating Pi.
*
* @return the estimated value of Pi
*/
public static BigDecimal estimatePi(int numMaps, long numPoints, Path tmpDir, Configuration conf)
throws IOException, ClassNotFoundException, InterruptedException {
Job job = Job.getInstance(conf);
// setup job conf
job.setJobName(QuasiMonteCarlo.class.getSimpleName());
job.setJarByClass(QuasiMonteCarlo.class);
job.setInputFormatClass(SequenceFileInputFormat.class);
job.setOutputKeyClass(BooleanWritable.class);
job.setOutputValueClass(LongWritable.class);
job.setOutputFormatClass(SequenceFileOutputFormat.class);
job.setMapperClass(QmcMapper.class);
job.setReducerClass(QmcReducer.class);
job.setNumReduceTasks(1);
// turn off speculative execution, because DFS doesn't handle
// multiple writers to the same file.
job.setSpeculativeExecution(false);
// setup input/output directories
final Path inDir = new Path(tmpDir, "in");
final Path outDir = new Path(tmpDir, "out");
FileInputFormat.setInputPaths(job, inDir);
FileOutputFormat.setOutputPath(job, outDir);
final FileSystem fs = FileSystem.get(conf);
if (fs.exists(tmpDir)) {
throw new IOException(
"Tmp directory "
+ fs.makeQualified(tmpDir)
+ " already exists. Please remove it first.");
}
if (!fs.mkdirs(inDir)) {
throw new IOException("Cannot create input directory " + inDir);
}
try {
// generate an input file for each map task
for (int i = 0; i < numMaps; ++i) {
final Path file = new Path(inDir, "part" + i);
final LongWritable offset = new LongWritable(i * numPoints);
final LongWritable size = new LongWritable(numPoints);
final SequenceFile.Writer writer =
SequenceFile.createWriter(
fs, conf, file, LongWritable.class, LongWritable.class, CompressionType.NONE);
try {
writer.append(offset, size);
} finally {
writer.close();
}
System.out.println("Wrote input for Map #" + i);
}
// start a map/reduce job
System.out.println("Starting Job");
final long startTime = System.currentTimeMillis();
job.waitForCompletion(true);
final double duration = (System.currentTimeMillis() - startTime) / 1000.0;
System.out.println("Job Finished in " + duration + " seconds");
// read outputs
Path inFile = new Path(outDir, "reduce-out");
LongWritable numInside = new LongWritable();
LongWritable numOutside = new LongWritable();
SequenceFile.Reader reader = new SequenceFile.Reader(fs, inFile, conf);
try {
reader.next(numInside, numOutside);
} finally {
reader.close();
}
// compute estimated value
final BigDecimal numTotal =
BigDecimal.valueOf(numMaps).multiply(BigDecimal.valueOf(numPoints));
return BigDecimal.valueOf(4)
.setScale(20)
.multiply(BigDecimal.valueOf(numInside.get()))
.divide(numTotal, RoundingMode.HALF_UP);
} finally {
fs.delete(tmpDir, true);
}
}