/**
* Returns a qualified path object.
*
* @param fs the FileSystem that should be used to obtain the current working directory
* @return the qualified path object
*/
public Path makeQualified(FileSystem fs) {
Path path = this;
if (!isAbsolute()) {
path = new Path(fs.getWorkingDirectory(), this);
}
final URI pathUri = path.toUri();
final URI fsUri = fs.getUri();
String scheme = pathUri.getScheme();
String authority = pathUri.getAuthority();
if (scheme != null && (authority != null || fsUri.getAuthority() == null)) {
return path;
}
if (scheme == null) {
scheme = fsUri.getScheme();
}
if (authority == null) {
authority = fsUri.getAuthority();
if (authority == null) {
authority = "";
}
}
return new Path(scheme + ":" + "//" + authority + pathUri.getPath());
}
@Test
public void testHDFS() {
Path file = new Path(hdfsURI + hdPath);
org.apache.hadoop.fs.Path result = new org.apache.hadoop.fs.Path(hdfsURI + "/result");
try {
FileSystem fs = file.getFileSystem();
Assert.assertTrue("Must be HadoopFileSystem", fs instanceof HadoopFileSystem);
DopOneTestEnvironment.setAsContext();
try {
WordCount.main(new String[] {file.toString(), result.toString()});
} catch (Throwable t) {
t.printStackTrace();
Assert.fail("Test failed with " + t.getMessage());
} finally {
DopOneTestEnvironment.unsetAsContext();
}
Assert.assertTrue("No result file present", hdfs.exists(result));
// validate output:
org.apache.hadoop.fs.FSDataInputStream inStream = hdfs.open(result);
StringWriter writer = new StringWriter();
IOUtils.copy(inStream, writer);
String resultString = writer.toString();
Assert.assertEquals("hdfs 10\n" + "hello 10\n", resultString);
inStream.close();
} catch (IOException e) {
e.printStackTrace();
Assert.fail("Error in test: " + e.getMessage());
}
}
public CompletedFuture(Path entry) {
try {
LocalFileSystem fs = (LocalFileSystem) entry.getFileSystem();
result =
entry.isAbsolute()
? new Path(entry.toUri().getPath())
: new Path(fs.getWorkingDirectory(), entry);
} catch (Exception e) {
throw new RuntimeException(
"DistributedCache supports only local files for Collection Environments");
}
}
@Override
public FSDataInputStream open(final Path f, final int bufferSize) throws IOException {
final org.apache.hadoop.fs.FSDataInputStream fdis =
this.fs.open(new org.apache.hadoop.fs.Path(f.toString()), bufferSize);
return new DistributedDataInputStream(fdis);
}
private static void ensureLocalFileDeleted(Path path) {
URI uri = path.toUri();
if ("file".equals(uri.getScheme())) {
File file = new File(uri.getPath());
assertFalse("file not properly deleted", file.exists());
} else {
throw new IllegalArgumentException("not a local path");
}
}
@Override
public FileStatus[] listStatus(final Path f) throws IOException {
final org.apache.hadoop.fs.FileStatus[] hadoopFiles =
this.fs.listStatus(new org.apache.hadoop.fs.Path(f.toString()));
final FileStatus[] files = new FileStatus[hadoopFiles.length];
// Convert types
for (int i = 0; i < files.length; i++) {
files[i] = new DistributedFileStatus(hadoopFiles[i]);
}
return files;
}
@Override
public FSDataOutputStream create(
final Path f,
final boolean overwrite,
final int bufferSize,
final short replication,
final long blockSize)
throws IOException {
final org.apache.hadoop.fs.FSDataOutputStream fdos =
this.fs.create(
new org.apache.hadoop.fs.Path(f.toString()),
overwrite,
bufferSize,
replication,
blockSize);
return new DistributedDataOutputStream(fdos);
}
@Override
public boolean rename(final Path src, final Path dst) throws IOException {
return this.fs.rename(
new org.apache.hadoop.fs.Path(src.toString()),
new org.apache.hadoop.fs.Path(dst.toString()));
}
@Override
public boolean mkdirs(final Path f) throws IOException {
return this.fs.mkdirs(new org.apache.hadoop.fs.Path(f.toString()));
}
@Override
public boolean delete(final Path f, final boolean recursive) throws IOException {
return this.fs.delete(new org.apache.hadoop.fs.Path(f.toString()), recursive);
}
@Override
public FSDataOutputStream create(final Path f, final boolean overwrite) throws IOException {
final org.apache.hadoop.fs.FSDataOutputStream fdos =
this.fs.create(new org.apache.hadoop.fs.Path(f.toString()), overwrite);
return new DistributedDataOutputStream(fdos);
}
@Override
public FileStatus getFileStatus(final Path f) throws IOException {
org.apache.hadoop.fs.FileStatus status =
this.fs.getFileStatus(new org.apache.hadoop.fs.Path(f.toString()));
return new DistributedFileStatus(status);
}
public static JobGraph getJobGraph(String[] args) throws Exception {
int degreeOfParallelism = 2;
String pageWithRankInputPath =
""; // "file://" + PlayConstants.PLAY_DIR + "test-inputs/danglingpagerank/pageWithRank";
String adjacencyListInputPath = ""; // "file://" + PlayConstants.PLAY_DIR +
// "test-inputs/danglingpagerank/adjacencylists";
String outputPath =
Path.constructTestURI(
CustomCompensatableDanglingPageRankWithCombiner.class, "flink_iterations");
int minorConsumer = 2;
int matchMemory = 5;
int coGroupSortMemory = 5;
int numIterations = 25;
long numVertices = 5;
long numDanglingVertices = 1;
String failingWorkers = "1";
int failingIteration = 2;
double messageLoss = 0.75;
if (args.length >= 14) {
degreeOfParallelism = Integer.parseInt(args[0]);
pageWithRankInputPath = args[1];
adjacencyListInputPath = args[2];
outputPath = args[3];
// [4] is config path
minorConsumer = Integer.parseInt(args[5]);
matchMemory = Integer.parseInt(args[6]);
coGroupSortMemory = Integer.parseInt(args[7]);
numIterations = Integer.parseInt(args[8]);
numVertices = Long.parseLong(args[9]);
numDanglingVertices = Long.parseLong(args[10]);
failingWorkers = args[11];
failingIteration = Integer.parseInt(args[12]);
messageLoss = Double.parseDouble(args[13]);
}
int totalMemoryConsumption = 3 * minorConsumer + 2 * coGroupSortMemory + matchMemory;
JobGraph jobGraph = new JobGraph("CompensatableDanglingPageRank");
// --------------- the inputs ---------------------
// page rank input
JobInputVertex pageWithRankInput =
JobGraphUtils.createInput(
new CustomImprovedDanglingPageRankInputFormat(),
pageWithRankInputPath,
"DanglingPageWithRankInput",
jobGraph,
degreeOfParallelism);
TaskConfig pageWithRankInputConfig = new TaskConfig(pageWithRankInput.getConfiguration());
pageWithRankInputConfig.addOutputShipStrategy(ShipStrategyType.PARTITION_HASH);
pageWithRankInputConfig.setOutputComparator(vertexWithRankAndDanglingComparator, 0);
pageWithRankInputConfig.setOutputSerializer(vertexWithRankAndDanglingSerializer);
pageWithRankInputConfig.setStubParameter("pageRank.numVertices", String.valueOf(numVertices));
// edges as adjacency list
JobInputVertex adjacencyListInput =
JobGraphUtils.createInput(
new CustomImprovedAdjacencyListInputFormat(),
adjacencyListInputPath,
"AdjancencyListInput",
jobGraph,
degreeOfParallelism);
TaskConfig adjacencyListInputConfig = new TaskConfig(adjacencyListInput.getConfiguration());
adjacencyListInputConfig.addOutputShipStrategy(ShipStrategyType.PARTITION_HASH);
adjacencyListInputConfig.setOutputSerializer(vertexWithAdjacencyListSerializer);
adjacencyListInputConfig.setOutputComparator(vertexWithAdjacencyListComparator, 0);
// --------------- the head ---------------------
JobTaskVertex head =
JobGraphUtils.createTask(
IterationHeadPactTask.class, "IterationHead", jobGraph, degreeOfParallelism);
TaskConfig headConfig = new TaskConfig(head.getConfiguration());
headConfig.setIterationId(ITERATION_ID);
// initial input / partial solution
headConfig.addInputToGroup(0);
headConfig.setIterationHeadPartialSolutionOrWorksetInputIndex(0);
headConfig.setInputSerializer(vertexWithRankAndDanglingSerializer, 0);
headConfig.setInputComparator(vertexWithRankAndDanglingComparator, 0);
headConfig.setInputLocalStrategy(0, LocalStrategy.SORT);
headConfig.setRelativeMemoryInput(0, (double) minorConsumer / totalMemoryConsumption);
headConfig.setFilehandlesInput(0, NUM_FILE_HANDLES_PER_SORT);
headConfig.setSpillingThresholdInput(0, SORT_SPILL_THRESHOLD);
// back channel / iterations
headConfig.setRelativeBackChannelMemory((double) minorConsumer / totalMemoryConsumption);
// output into iteration
headConfig.setOutputSerializer(vertexWithRankAndDanglingSerializer);
headConfig.addOutputShipStrategy(ShipStrategyType.FORWARD);
headConfig.addOutputShipStrategy(ShipStrategyType.FORWARD);
// final output
TaskConfig headFinalOutConfig = new TaskConfig(new Configuration());
headFinalOutConfig.setOutputSerializer(vertexWithRankAndDanglingSerializer);
headFinalOutConfig.addOutputShipStrategy(ShipStrategyType.FORWARD);
headConfig.setIterationHeadFinalOutputConfig(headFinalOutConfig);
// the sync
headConfig.setIterationHeadIndexOfSyncOutput(3);
headConfig.setNumberOfIterations(numIterations);
// the driver
headConfig.setDriver(CollectorMapDriver.class);
headConfig.setDriverStrategy(DriverStrategy.COLLECTOR_MAP);
headConfig.setStubWrapper(
new UserCodeClassWrapper<CustomCompensatingMap>(CustomCompensatingMap.class));
headConfig.setStubParameter("pageRank.numVertices", String.valueOf(numVertices));
headConfig.setStubParameter("compensation.failingWorker", failingWorkers);
headConfig.setStubParameter("compensation.failingIteration", String.valueOf(failingIteration));
headConfig.setStubParameter("compensation.messageLoss", String.valueOf(messageLoss));
headConfig.addIterationAggregator(
CustomCompensatableDotProductCoGroup.AGGREGATOR_NAME, new PageRankStatsAggregator());
// --------------- the join ---------------------
JobTaskVertex intermediate =
JobGraphUtils.createTask(
IterationIntermediatePactTask.class,
"IterationIntermediate",
jobGraph,
degreeOfParallelism);
TaskConfig intermediateConfig = new TaskConfig(intermediate.getConfiguration());
intermediateConfig.setIterationId(ITERATION_ID);
// intermediateConfig.setDriver(RepeatableHashjoinMatchDriverWithCachedBuildside.class);
intermediateConfig.setDriver(BuildSecondCachedMatchDriver.class);
intermediateConfig.setDriverStrategy(DriverStrategy.HYBRIDHASH_BUILD_SECOND);
intermediateConfig.setRelativeMemoryDriver((double) matchMemory / totalMemoryConsumption);
intermediateConfig.addInputToGroup(0);
intermediateConfig.addInputToGroup(1);
intermediateConfig.setInputSerializer(vertexWithRankAndDanglingSerializer, 0);
intermediateConfig.setInputSerializer(vertexWithAdjacencyListSerializer, 1);
intermediateConfig.setDriverComparator(vertexWithRankAndDanglingComparator, 0);
intermediateConfig.setDriverComparator(vertexWithAdjacencyListComparator, 1);
intermediateConfig.setDriverPairComparator(matchComparator);
intermediateConfig.setOutputSerializer(vertexWithRankSerializer);
intermediateConfig.addOutputShipStrategy(ShipStrategyType.FORWARD);
intermediateConfig.setStubWrapper(
new UserCodeClassWrapper<CustomCompensatableDotProductMatch>(
CustomCompensatableDotProductMatch.class));
intermediateConfig.setStubParameter("pageRank.numVertices", String.valueOf(numVertices));
intermediateConfig.setStubParameter("compensation.failingWorker", failingWorkers);
intermediateConfig.setStubParameter(
"compensation.failingIteration", String.valueOf(failingIteration));
intermediateConfig.setStubParameter("compensation.messageLoss", String.valueOf(messageLoss));
// the combiner and the output
TaskConfig combinerConfig = new TaskConfig(new Configuration());
combinerConfig.addInputToGroup(0);
combinerConfig.setInputSerializer(vertexWithRankSerializer, 0);
combinerConfig.setDriverStrategy(DriverStrategy.SORTED_GROUP_COMBINE);
combinerConfig.setDriverComparator(vertexWithRankComparator, 0);
combinerConfig.setRelativeMemoryDriver((double) coGroupSortMemory / totalMemoryConsumption);
combinerConfig.setOutputSerializer(vertexWithRankSerializer);
combinerConfig.addOutputShipStrategy(ShipStrategyType.PARTITION_HASH);
combinerConfig.setOutputComparator(vertexWithRankComparator, 0);
combinerConfig.setStubWrapper(
new UserCodeClassWrapper<CustomRankCombiner>(CustomRankCombiner.class));
intermediateConfig.addChainedTask(
SynchronousChainedCombineDriver.class, combinerConfig, "Combiner");
// ---------------- the tail (co group) --------------------
JobTaskVertex tail =
JobGraphUtils.createTask(
IterationTailPactTask.class, "IterationTail", jobGraph, degreeOfParallelism);
TaskConfig tailConfig = new TaskConfig(tail.getConfiguration());
tailConfig.setIterationId(ITERATION_ID);
tailConfig.setIsWorksetUpdate();
// inputs and driver
tailConfig.setDriver(CoGroupDriver.class);
tailConfig.setDriverStrategy(DriverStrategy.CO_GROUP);
tailConfig.addInputToGroup(0);
tailConfig.addInputToGroup(1);
tailConfig.setInputSerializer(vertexWithRankAndDanglingSerializer, 0);
tailConfig.setInputSerializer(vertexWithRankSerializer, 1);
tailConfig.setDriverComparator(vertexWithRankAndDanglingComparator, 0);
tailConfig.setDriverComparator(vertexWithRankComparator, 1);
tailConfig.setDriverPairComparator(coGroupComparator);
tailConfig.setInputAsynchronouslyMaterialized(0, true);
tailConfig.setRelativeInputMaterializationMemory(
0, (double) minorConsumer / totalMemoryConsumption);
tailConfig.setInputLocalStrategy(1, LocalStrategy.SORT);
tailConfig.setInputComparator(vertexWithRankComparator, 1);
tailConfig.setRelativeMemoryInput(1, (double) coGroupSortMemory / totalMemoryConsumption);
tailConfig.setFilehandlesInput(1, NUM_FILE_HANDLES_PER_SORT);
tailConfig.setSpillingThresholdInput(1, SORT_SPILL_THRESHOLD);
tailConfig.addIterationAggregator(
CustomCompensatableDotProductCoGroup.AGGREGATOR_NAME, new PageRankStatsAggregator());
// output
tailConfig.addOutputShipStrategy(ShipStrategyType.FORWARD);
tailConfig.setOutputSerializer(vertexWithRankAndDanglingSerializer);
// the stub
tailConfig.setStubWrapper(
new UserCodeClassWrapper<CustomCompensatableDotProductCoGroup>(
CustomCompensatableDotProductCoGroup.class));
tailConfig.setStubParameter("pageRank.numVertices", String.valueOf(numVertices));
tailConfig.setStubParameter(
"pageRank.numDanglingVertices", String.valueOf(numDanglingVertices));
tailConfig.setStubParameter("compensation.failingWorker", failingWorkers);
tailConfig.setStubParameter("compensation.failingIteration", String.valueOf(failingIteration));
tailConfig.setStubParameter("compensation.messageLoss", String.valueOf(messageLoss));
// --------------- the output ---------------------
JobOutputVertex output =
JobGraphUtils.createFileOutput(jobGraph, "FinalOutput", degreeOfParallelism);
TaskConfig outputConfig = new TaskConfig(output.getConfiguration());
outputConfig.addInputToGroup(0);
outputConfig.setInputSerializer(vertexWithRankAndDanglingSerializer, 0);
outputConfig.setStubWrapper(
new UserCodeClassWrapper<CustomPageWithRankOutFormat>(CustomPageWithRankOutFormat.class));
outputConfig.setStubParameter(FileOutputFormat.FILE_PARAMETER_KEY, outputPath);
// --------------- the auxiliaries ---------------------
JobOutputVertex fakeTailOutput =
JobGraphUtils.createFakeOutput(jobGraph, "FakeTailOutput", degreeOfParallelism);
JobOutputVertex sync = JobGraphUtils.createSync(jobGraph, degreeOfParallelism);
TaskConfig syncConfig = new TaskConfig(sync.getConfiguration());
syncConfig.setNumberOfIterations(numIterations);
syncConfig.addIterationAggregator(
CustomCompensatableDotProductCoGroup.AGGREGATOR_NAME, new PageRankStatsAggregator());
syncConfig.setConvergenceCriterion(
CustomCompensatableDotProductCoGroup.AGGREGATOR_NAME, new DiffL1NormConvergenceCriterion());
syncConfig.setIterationId(ITERATION_ID);
// --------------- the wiring ---------------------
JobGraphUtils.connect(
pageWithRankInput, head, ChannelType.NETWORK, DistributionPattern.BIPARTITE);
JobGraphUtils.connect(head, intermediate, ChannelType.IN_MEMORY, DistributionPattern.POINTWISE);
intermediateConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(0, 1);
JobGraphUtils.connect(
adjacencyListInput, intermediate, ChannelType.NETWORK, DistributionPattern.BIPARTITE);
JobGraphUtils.connect(head, tail, ChannelType.NETWORK, DistributionPattern.POINTWISE);
JobGraphUtils.connect(intermediate, tail, ChannelType.NETWORK, DistributionPattern.BIPARTITE);
tailConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(0, 1);
tailConfig.setGateIterativeWithNumberOfEventsUntilInterrupt(1, degreeOfParallelism);
JobGraphUtils.connect(head, output, ChannelType.IN_MEMORY, DistributionPattern.POINTWISE);
JobGraphUtils.connect(
tail, fakeTailOutput, ChannelType.IN_MEMORY, DistributionPattern.POINTWISE);
JobGraphUtils.connect(head, sync, ChannelType.NETWORK, DistributionPattern.POINTWISE);
fakeTailOutput.setVertexToShareInstancesWith(tail);
tail.setVertexToShareInstancesWith(head);
pageWithRankInput.setVertexToShareInstancesWith(head);
adjacencyListInput.setVertexToShareInstancesWith(head);
intermediate.setVertexToShareInstancesWith(head);
output.setVertexToShareInstancesWith(head);
sync.setVertexToShareInstancesWith(head);
return jobGraph;
}
@Override
public FSDataInputStream open(final Path f) throws IOException {
final org.apache.hadoop.fs.Path path = new org.apache.hadoop.fs.Path(f.toString());
final org.apache.hadoop.fs.FSDataInputStream fdis = fs.open(path);
return new HadoopDataInputStream(fdis);
}
