private void runIncrementalPELoad(
Configuration conf,
HTableDescriptor tableDescriptor,
RegionLocator regionLocator,
Path outDir)
throws IOException, UnsupportedEncodingException, InterruptedException,
ClassNotFoundException {
Job job = new Job(conf, "testLocalMRIncrementalLoad");
job.setWorkingDirectory(util.getDataTestDirOnTestFS("runIncrementalPELoad"));
job.getConfiguration()
.setStrings(
"io.serializations",
conf.get("io.serializations"),
MutationSerialization.class.getName(),
ResultSerialization.class.getName(),
KeyValueSerialization.class.getName());
setupRandomGeneratorMapper(job);
HFileOutputFormat2.configureIncrementalLoad(job, tableDescriptor, regionLocator);
FileOutputFormat.setOutputPath(job, outDir);
assertFalse(util.getTestFileSystem().exists(outDir));
assertEquals(regionLocator.getAllRegionLocations().size(), job.getNumReduceTasks());
assertTrue(job.waitForCompletion(true));
}
/**
* Driver for InputSampler from the command line. Configures a JobConf instance and calls {@link
* #writePartitionFile}.
*/
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));
}
InputSampler.<K, V>writePartitionFile(job, sampler);
return 0;
}
/**
* Write a partition file for the given job, using the Sampler provided. Queries the sampler for a
* sample keyset, sorts by the output key comparator, selects the keys for each rank, and writes
* to the destination returned from {@link TotalOrderPartitioner#getPartitionFile}.
*/
@SuppressWarnings("unchecked") // getInputFormat, getOutputKeyComparator
public static <K, V> void writePartitionFile(Job job, Sampler<K, V> sampler)
throws IOException, ClassNotFoundException, InterruptedException {
Configuration conf = job.getConfiguration();
final InputFormat inf = ReflectionUtils.newInstance(job.getInputFormatClass(), conf);
int numPartitions = job.getNumReduceTasks();
K[] samples = sampler.getSample(inf, job);
RawComparator<K> comparator = (RawComparator<K>) job.getSortComparator();
Arrays.sort(samples, comparator);
Path dst = new Path(TotalOrderPartitioner.getPartitionFile(conf));
FileSystem fs = dst.getFileSystem(conf);
if (fs.exists(dst)) {
fs.delete(dst, false);
}
SequenceFile.Writer writer =
SequenceFile.createWriter(fs, conf, dst, job.getMapOutputKeyClass(), NullWritable.class);
NullWritable nullValue = NullWritable.get();
float stepSize = samples.length / (float) numPartitions;
int last = -1;
for (int i = 1; i < numPartitions; ++i) {
int k = Math.round(stepSize * i);
while (last >= k && comparator.compare(samples[last], samples[k]) == 0) {
++k;
}
writer.append(samples[k], nullValue);
last = k;
}
writer.close();
}
@Test
public void testJobConfiguration() throws Exception {
Job job = new Job(util.getConfiguration());
job.setWorkingDirectory(util.getDataTestDir("testJobConfiguration"));
Table table = Mockito.mock(Table.class);
RegionLocator regionLocator = Mockito.mock(RegionLocator.class);
setupMockStartKeys(regionLocator);
HFileOutputFormat2.configureIncrementalLoad(job, table.getTableDescriptor(), regionLocator);
assertEquals(job.getNumReduceTasks(), 4);
}
@Ignore("Goes zombie too frequently; needs work. See HBASE-14563")
@Test
public void testJobConfiguration() throws Exception {
Configuration conf = new Configuration(this.util.getConfiguration());
conf.set("hbase.fs.tmp.dir", util.getDataTestDir("testJobConfiguration").toString());
Job job = new Job(conf);
job.setWorkingDirectory(util.getDataTestDir("testJobConfiguration"));
Table table = Mockito.mock(Table.class);
RegionLocator regionLocator = Mockito.mock(RegionLocator.class);
setupMockStartKeys(regionLocator);
setupMockTableName(regionLocator);
HFileOutputFormat2.configureIncrementalLoad(job, table.getTableDescriptor(), regionLocator);
assertEquals(job.getNumReduceTasks(), 4);
}
public Job run() throws Exception {
Job job = Job.getInstance(getConf());
job.setJobName(name);
job.setJarByClass(TopKRollupPhaseOneJob.class);
// Map config
job.setMapperClass(TopKRollupPhaseOneMapper.class);
job.setInputFormatClass(SequenceFileInputFormat.class);
job.setMapOutputKeyClass(BytesWritable.class);
job.setMapOutputValueClass(BytesWritable.class);
// Reduce config
job.setReducerClass(TopKRollupPhaseOneReducer.class);
job.setOutputKeyClass(BytesWritable.class);
job.setOutputValueClass(BytesWritable.class);
job.setOutputFormatClass(SequenceFileOutputFormat.class);
String numReducers = props.getProperty("num.reducers");
if (numReducers != null) {
job.setNumReduceTasks(Integer.parseInt(numReducers));
} else {
job.setNumReduceTasks(10);
}
LOGGER.info("Setting number of reducers : " + job.getNumReduceTasks());
// topk_rollup_phase1 phase config
Configuration configuration = job.getConfiguration();
String inputPathDir = getAndSetConfiguration(configuration, TOPK_ROLLUP_PHASE1_INPUT_PATH);
getAndSetConfiguration(configuration, TOPK_ROLLUP_PHASE1_CONFIG_PATH);
getAndSetConfiguration(configuration, TOPK_ROLLUP_PHASE1_OUTPUT_PATH);
getAndSetConfiguration(configuration, TOPK_ROLLUP_PHASE1_METRIC_SUMS_PATH);
LOGGER.info("Input path dir: " + inputPathDir);
for (String inputPath : inputPathDir.split(",")) {
LOGGER.info("Adding input:" + inputPath);
Path input = new Path(inputPath);
FileInputFormat.addInputPath(job, input);
}
FileOutputFormat.setOutputPath(
job, new Path(getAndCheck(TOPK_ROLLUP_PHASE1_OUTPUT_PATH.toString())));
job.waitForCompletion(true);
return job;
}
