@SuppressWarnings("deprecation")
@Override
protected void cleanup(Context context) throws IOException, InterruptedException {
super.cleanup(context);
List<Cluster> newKMeansClusters = new ArrayList<Cluster>();
List<Cluster> newCanopyClusters = new ArrayList<Cluster>();
for (Cluster kMeansCluster : _clusters.keySet()) {
Cluster canopyCluster = _kMeansToCanopyMap.get(kMeansCluster);
// Set a new Cluster center
Vector center = new Vector();
center.setElements(new double[kMeansCluster.getCenterVector().getElements().length]);
List<Vector> vectors = new ArrayList<Vector>();
for (Vector currentVector : _clusters.get(kMeansCluster)) {
vectors.add(new Vector(currentVector));
// Sums the vectors to a new vector in order to find the one that is the closest to all
// others, it will be our new cluster center.
for (int i = 0; i < currentVector.getElements().length; i++)
center.getElements()[i] += currentVector.getElements()[i];
}
// Divides the vector's elements in order to find its real location (it will be a fictive
// vector)
for (int i = 0; i < center.getElements().length; i++)
center.getElements()[i] = center.getElements()[i] / vectors.size();
Cluster newKMeansCluster = new Cluster(center);
canopyCluster.setIsCovered(newKMeansCluster.isConvergedWithOtherCluster(kMeansCluster));
newKMeansClusters.add(newKMeansCluster);
newCanopyClusters.add(canopyCluster);
// Adding the vectors to the new cluster center
for (Vector vector : vectors) {
context.write(newKMeansCluster, vector);
}
}
Configuration conf = context.getConfiguration();
Path outPath = new Path(conf.get("centers.path"));
FileSystem fs = FileSystem.get(conf);
if (fs.exists(outPath)) fs.delete(outPath, true);
SequenceFile.Writer writer =
SequenceFile.createWriter(
fs, context.getConfiguration(), outPath, Cluster.class, Cluster.class);
context.getCounter(Counter.CONVERGED).setValue(0);
for (int i = 0; i < newKMeansClusters.size(); i++) {
writer.append(newCanopyClusters.get(i), newKMeansClusters.get(i));
if (newCanopyClusters.get(i).getIsCovered())
context.getCounter(Counter.CONVERGED).increment(1);
}
writer.close();
}
@Override
protected void setup(
final Reducer<Text, CountofDoubleWritable, GeoWaveOutputKey, DistortionEntry>.Context
context)
throws IOException, InterruptedException {
super.setup(context);
final ScopedJobConfiguration config =
new ScopedJobConfiguration(
context.getConfiguration(),
KMeansDistortionMapReduce.class,
KMeansDistortionMapReduce.LOGGER);
final int k = config.getInt(JumpParameters.Jump.COUNT_OF_CENTROIDS, -1);
if (k > 0) {
expectedK = k;
}
try {
centroidManager =
new CentroidManagerGeoWave<Object>(
context, KMeansDistortionMapReduce.class, KMeansDistortionMapReduce.LOGGER);
} catch (final Exception e) {
KMeansDistortionMapReduce.LOGGER.warn("Unable to initialize centroid manager", e);
throw new IOException("Unable to initialize centroid manager", e);
}
batchId =
config.getString(GlobalParameters.Global.PARENT_BATCH_ID, centroidManager.getBatchId());
}
@SuppressWarnings("unchecked")
protected void setup(Context context) throws IOException, InterruptedException {
super.setup(context);
Configuration conf = context.getConfiguration();
FileSystem fs = FileSystem.get(conf);
// String path = conf.get(Constant.CONFIG_PATH);
String numStr = conf.get(Constant.USER_TAG_THRESHOLD);
if (numStr != null && !numStr.isEmpty()) {
num = Integer.parseInt(numStr);
}
String hostPath = conf.get(Constant.HOST_PATH);
Path host = new Path(hostPath);
ArrayList<String> hosts = new ArrayList<String>();
if (fs.exists(host)) {
FSDataInputStream input = fs.open(host);
BufferedReader reader = new BufferedReader(new InputStreamReader(input));
String line = null;
while ((line = reader.readLine()) != null) {
hosts.add(line);
}
}
// logger.info(hosts);
String expiredStr = conf.get(Constant.JEDIS_USER_EXPIRED);
if (expiredStr != null && !expiredStr.isEmpty()) {
expiredTime = Integer.parseInt(expiredStr);
}
String userRedisName = conf.get("USER_REDIS_NAME");
tryTime = Integer.parseInt(conf.get(Constant.TRY_TIMES));
HashMap<String, String> map = new HashMap<String, String>();
map.put(userRegion, userRedisName);
RedisConfig.getInstance().setRegionRedisMap(map);
RedisConfig.getInstance().loadhdfs(hosts);
jedis = JedisUtils.getInstance();
}
public void setup(Context context) throws IOException, InterruptedException {
super.setup(context);
try {
record = VerticaOutputFormat.getValue(context.getConfiguration());
} catch (Exception e) {
throw new IOException(e);
}
}
/** Configures the Reduce plan, the POPackage operator and the reporter thread */
@SuppressWarnings("unchecked")
@Override
protected void setup(Context context) throws IOException, InterruptedException {
super.setup(context);
inIllustrator = inIllustrator(context);
if (inIllustrator) pack = getPack(context);
Configuration jConf = context.getConfiguration();
SpillableMemoryManager.configure(ConfigurationUtil.toProperties(jConf));
context
.getConfiguration()
.set(
PigConstants.TASK_INDEX,
Integer.toString(context.getTaskAttemptID().getTaskID().getId()));
sJobContext = context;
sJobConfInternal.set(context.getConfiguration());
sJobConf = context.getConfiguration();
try {
PigContext.setPackageImportList(
(ArrayList<String>) ObjectSerializer.deserialize(jConf.get("udf.import.list")));
pigContext = (PigContext) ObjectSerializer.deserialize(jConf.get("pig.pigContext"));
// This attempts to fetch all of the generated code from the distributed cache, and resolve
// it
SchemaTupleBackend.initialize(jConf, pigContext);
if (rp == null)
rp = (PhysicalPlan) ObjectSerializer.deserialize(jConf.get("pig.reducePlan"));
stores = PlanHelper.getPhysicalOperators(rp, POStore.class);
if (!inIllustrator)
pack = (POPackage) ObjectSerializer.deserialize(jConf.get("pig.reduce.package"));
// To be removed
if (rp.isEmpty()) log.debug("Reduce Plan empty!");
else {
ByteArrayOutputStream baos = new ByteArrayOutputStream();
rp.explain(baos);
log.debug(baos.toString());
}
pigReporter = new ProgressableReporter();
if (!(rp.isEmpty())) {
roots = rp.getRoots().toArray(new PhysicalOperator[1]);
leaf = rp.getLeaves().get(0);
}
// Get the UDF specific context
MapRedUtil.setupUDFContext(jConf);
} catch (IOException ioe) {
String msg = "Problem while configuring reduce plan.";
throw new RuntimeException(msg, ioe);
}
log.info(
"Aliases being processed per job phase (AliasName[line,offset]): "
+ jConf.get("pig.alias.location"));
Utils.setDefaultTimeZone(PigMapReduce.sJobConfInternal.get());
}
@Override
protected void setup(Context context) throws IOException, InterruptedException {
super.setup(context);
minSupport =
context
.getConfiguration()
.getInt(DictionaryVectorizer.MIN_SUPPORT, DictionaryVectorizer.DEFAULT_MIN_SUPPORT);
parseWeibo = context.getConfiguration().getBoolean(DictionaryVectorizer.PARSE_WEIBO, false);
}
@Override
protected void setup(Reducer.Context context) throws IOException, InterruptedException {
super.setup(context);
Configuration conf = context.getConfiguration();
iteration = conf.getInt("iteration", -1);
System.out.println("Setting up Reducer " + iteration);
centroids = KMeansUtil.readCentroids(conf);
System.out.println("Reducer " + iteration + " Received " + centroids.size() + " centroids as");
KMeansUtil.showOutput(centroids);
}
@Override
protected void cleanup(Context context) throws IOException, InterruptedException {
for (Map.Entry<Integer, List<VectorWritable>> entry : representativePoints.entrySet()) {
IntWritable iw = new IntWritable(entry.getKey());
for (VectorWritable vw : entry.getValue()) {
context.write(iw, vw);
}
}
super.cleanup(context);
}
@Override
protected void setup(Context context) throws IOException, InterruptedException {
super.setup(context);
Configuration conf = context.getConfiguration();
FileSystem fs = FileSystem.get(conf);
uBiasFW =
fs.create(
new Path(
conf.get("hadoop.cache.path")
+ "uBias/"
+ ((long) (Math.random() * 1000000000))
+ ".dat"));
}
@Override
protected void setup(Context context) throws IOException, InterruptedException {
if (context.getCacheFiles() != null && context.getCacheFiles().length > 0) {
InputStream in = new FileInputStream(new File("./mergedLineCounts2"));
BufferedReader reader = new BufferedReader(new InputStreamReader(in, "UTF-8"));
String line;
while ((line = reader.readLine()) != null) {
String[] split = line.split("\t");
wordCounts.put(split[0], Integer.parseInt(split[1]));
}
}
super.setup(context);
}
@Override
protected void setup(Context context) throws IOException, InterruptedException {
super.setup(context);
Parameters params =
new Parameters(context.getConfiguration().get(PFPGrowth.PFP_PARAMETERS, ""));
for (Pair<String, Long> e : PFPGrowth.readFList(context.getConfiguration())) {
featureReverseMap.add(e.getFirst());
freqList.add(e.getSecond());
}
maxHeapSize = Integer.valueOf(params.get(PFPGrowth.MAX_HEAPSIZE, "50"));
minSupport = Integer.valueOf(params.get(PFPGrowth.MIN_SUPPORT, "3"));
maxPerGroup = params.getInt(PFPGrowth.MAX_PER_GROUP, 0);
numFeatures = featureReverseMap.size();
useFP2 = "true".equals(params.get(PFPGrowth.USE_FPG2));
}
/**
* Will be called once all the intermediate keys and values are processed. So right place to
* stop the reporter thread.
*/
@Override
protected void cleanup(Context context) throws IOException, InterruptedException {
super.cleanup(context);
if (errorInReduce) {
// there was an error in reduce - just return
return;
}
if (PigMapReduce.sJobConfInternal.get().get("pig.stream.in.reduce", "false").equals("true")) {
// If there is a stream in the pipeline we could
// potentially have more to process - so lets
// set the flag stating that all map input has been sent
// already and then lets run the pipeline one more time
// This will result in nothing happening in the case
// where there is no stream in the pipeline
rp.endOfAllInput = true;
runPipeline(leaf);
}
if (!inIllustrator) {
for (POStore store : stores) {
if (!initialized) {
MapReducePOStoreImpl impl = new MapReducePOStoreImpl(context);
store.setStoreImpl(impl);
store.setUp();
}
store.tearDown();
}
}
// Calling EvalFunc.finish()
UDFFinishVisitor finisher =
new UDFFinishVisitor(rp, new DependencyOrderWalker<PhysicalOperator, PhysicalPlan>(rp));
try {
finisher.visit();
} catch (VisitorException e) {
throw new IOException("Error trying to finish UDFs", e);
}
PhysicalOperator.setReporter(null);
initialized = false;
}
@SuppressWarnings("deprecation")
@Override
protected void setup(Context context) throws IOException, InterruptedException {
super.setup(context);
_kMeansToCanopyMap = new HashMap<Cluster, Cluster>();
Cluster canopyCluster = new Cluster();
Cluster kMeansCluster = new Cluster();
Configuration conf = context.getConfiguration();
Path centroids = new Path(conf.get("centers.path"));
FileSystem fs = FileSystem.get(conf);
SequenceFile.Reader reader = new SequenceFile.Reader(fs, centroids, conf);
while (reader.next(canopyCluster, kMeansCluster)) {
_kMeansToCanopyMap.put(new Cluster(kMeansCluster), new Cluster(canopyCluster));
}
reader.close();
}
@Override
protected void setup(Context context) throws IOException, InterruptedException {
super.setup(context);
Configuration conf = context.getConfiguration();
representativePoints = RepresentativePointsMapper.getRepresentativePoints(conf);
}
@Override
protected void cleanup(Context context) throws IOException, InterruptedException {
super.cleanup(context);
uBiasFW.close();
}
public void reduce(LongWritable key, Iterable<Text> values, Context context)
throws IOException, InterruptedException {
super.reduce(key, values, context);
}
@Override
protected void cleanup(org.apache.hadoop.mapreduce.Reducer.Context context)
throws IOException, InterruptedException {
super.cleanup(context);
}
