Java Code Examples for org.apache.crunch.Pipeline#run()

The following examples show how to use org.apache.crunch.Pipeline#run() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: TestCrunchDatasetsHBase.java    From kite with Apache License 2.0 6 votes vote down vote up 
@Test
public void testGeneric() throws IOException {
  String datasetName = tableName + ".TestGenericEntity";

  DatasetDescriptor descriptor = new DatasetDescriptor.Builder()
      .schemaLiteral(testGenericEntity)
      .build();

  Dataset<GenericRecord> inputDataset = repo.create("default", "in", descriptor);
  Dataset<GenericRecord> outputDataset = repo.create("default", datasetName, descriptor);

  writeRecords(inputDataset, 10);

  Pipeline pipeline = new MRPipeline(TestCrunchDatasetsHBase.class, HBaseTestUtils.getConf());
  PCollection<GenericRecord> data = pipeline.read(
      CrunchDatasets.asSource(inputDataset));
  pipeline.write(data, CrunchDatasets.asTarget(outputDataset), Target.WriteMode.APPEND);
  pipeline.run();

  checkRecords(outputDataset, 10, 0);
}
Example 2
Source File: TestCrunchDatasetsHBase.java    From kite with Apache License 2.0 6 votes vote down vote up 
@Test
public void testSourceView() throws IOException {
  String datasetName = tableName + ".TestGenericEntity";

  DatasetDescriptor descriptor = new DatasetDescriptor.Builder()
      .schemaLiteral(testGenericEntity)
      .build();

  Dataset<GenericRecord> inputDataset = repo.create("default", "in", descriptor);
  Dataset<GenericRecord> outputDataset = repo.create("default", datasetName, descriptor);

  writeRecords(inputDataset, 10);

  View<GenericRecord> inputView = inputDataset
      .from("part1", new Utf8("part1_2")).to("part1", new Utf8("part1_7"))
      .from("part2", new Utf8("part2_2")).to("part2", new Utf8("part2_7"));
  Assert.assertEquals(6, datasetSize(inputView));

  Pipeline pipeline = new MRPipeline(TestCrunchDatasetsHBase.class, HBaseTestUtils.getConf());
  PCollection<GenericRecord> data = pipeline.read(
      CrunchDatasets.asSource(inputView));
  pipeline.write(data, CrunchDatasets.asTarget(outputDataset), Target.WriteMode.APPEND);
  pipeline.run();

  checkRecords(outputDataset, 6, 2);
}
Example 3
Source File: TestCrunchDatasets.java    From kite with Apache License 2.0 6 votes vote down vote up 
@Test
public void testGeneric() throws IOException {
  Dataset<Record> inputDataset = repo.create("ns", "in", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).build());
  Dataset<Record> outputDataset = repo.create("ns", "out", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).build());

  // write two files, each of 5 records
  writeTestUsers(inputDataset, 5, 0);
  writeTestUsers(inputDataset, 5, 5);

  Pipeline pipeline = new MRPipeline(TestCrunchDatasets.class);
  PCollection<GenericData.Record> data = pipeline.read(
      CrunchDatasets.asSource(inputDataset));
  pipeline.write(data, CrunchDatasets.asTarget(outputDataset), Target.WriteMode.APPEND);
  pipeline.run();

  checkTestUsers(outputDataset, 10);
}
Example 4
Source File: TestCrunchDatasets.java    From kite with Apache License 2.0 6 votes vote down vote up 
@Test
public void testGenericParquet() throws IOException {
  Dataset<Record> inputDataset = repo.create("ns", "in", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).format(Formats.PARQUET).build());
  Dataset<Record> outputDataset = repo.create("ns", "out", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).format(Formats.PARQUET).build());

  // write two files, each of 5 records
  writeTestUsers(inputDataset, 5, 0);
  writeTestUsers(inputDataset, 5, 5);

  Pipeline pipeline = new MRPipeline(TestCrunchDatasets.class);
  PCollection<GenericData.Record> data = pipeline.read(
      CrunchDatasets.asSource(inputDataset));
  pipeline.write(data, CrunchDatasets.asTarget(outputDataset), Target.WriteMode.APPEND);
  pipeline.run();

  checkTestUsers(outputDataset, 10);
}
Example 5
Source File: TestCrunchDatasets.java    From kite with Apache License 2.0 6 votes vote down vote up 
@Test
public void testPartitionedSource() throws IOException {
  PartitionStrategy partitionStrategy = new PartitionStrategy.Builder().hash(
      "username", 2).build();

  Dataset<Record> inputDataset = repo.create("ns", "in", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).partitionStrategy(partitionStrategy).build());
  Dataset<Record> outputDataset = repo.create("ns", "out", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).format(Formats.PARQUET).build());

  writeTestUsers(inputDataset, 10);

  PartitionKey key = new PartitionKey(0);
  Dataset<Record> inputPart0 =
      ((PartitionedDataset<Record>) inputDataset).getPartition(key, false);

  Pipeline pipeline = new MRPipeline(TestCrunchDatasets.class);
  PCollection<GenericData.Record> data = pipeline.read(
      CrunchDatasets.asSource(inputPart0));
  pipeline.write(data, CrunchDatasets.asTarget(outputDataset), Target.WriteMode.APPEND);
  pipeline.run();

  Assert.assertEquals(5, datasetSize(outputDataset));
}
Example 6
Source File: TestCrunchDatasets.java    From kite with Apache License 2.0 6 votes vote down vote up 
@Test
public void testPartitionedSourceAndTarget() throws IOException {
  PartitionStrategy partitionStrategy = new PartitionStrategy.Builder().hash(
      "username", 2).build();

  Dataset<Record> inputDataset = repo.create("ns", "in", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).partitionStrategy(partitionStrategy).build());
  Dataset<Record> outputDataset = repo.create("ns", "out", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).partitionStrategy(partitionStrategy).build());

  writeTestUsers(inputDataset, 10);

  PartitionKey key = new PartitionKey(0);
  Dataset<Record> inputPart0 =
      ((PartitionedDataset<Record>) inputDataset).getPartition(key, false);
  Dataset<Record> outputPart0 =
      ((PartitionedDataset<Record>) outputDataset).getPartition(key, true);

  Pipeline pipeline = new MRPipeline(TestCrunchDatasets.class);
  PCollection<GenericData.Record> data = pipeline.read(
      CrunchDatasets.asSource(inputPart0));
  pipeline.write(data, CrunchDatasets.asTarget(outputPart0), Target.WriteMode.APPEND);
  pipeline.run();

  Assert.assertEquals(5, datasetSize(outputPart0));
}
Example 7
Source File: TestCrunchDatasets.java    From kite with Apache License 2.0 6 votes vote down vote up 
@Test
public void testSourceView() throws IOException {
  PartitionStrategy partitionStrategy = new PartitionStrategy.Builder().hash(
      "username", 2).build();

  Dataset<Record> inputDataset = repo.create("ns", "in", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).partitionStrategy(partitionStrategy).build());
  Dataset<Record> outputDataset = repo.create("ns", "out", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).format(Formats.PARQUET).build());

  writeTestUsers(inputDataset, 10);

  View<Record> inputView = inputDataset.with("username", "test-0");
  Assert.assertEquals(1, datasetSize(inputView));

  Pipeline pipeline = new MRPipeline(TestCrunchDatasets.class);
  PCollection<GenericData.Record> data = pipeline.read(
      CrunchDatasets.asSource(inputView));
  pipeline.write(data, CrunchDatasets.asTarget(outputDataset), Target.WriteMode.APPEND);
  pipeline.run();

  Assert.assertEquals(1, datasetSize(outputDataset));
}
Example 8
Source File: TestCrunchDatasets.java    From kite with Apache License 2.0 6 votes vote down vote up 
@Test
public void testTargetView() throws IOException {
  PartitionStrategy partitionStrategy = new PartitionStrategy.Builder().hash(
      "username", 2).build();

  Dataset<Record> inputDataset = repo.create("ns", "in", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).partitionStrategy(partitionStrategy).build());
  Dataset<Record> outputDataset = repo.create("ns", "out", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).partitionStrategy(partitionStrategy).build());

  writeTestUsers(inputDataset, 10);

  View<Record> inputView = inputDataset.with("username", "test-0");
  Assert.assertEquals(1, datasetSize(inputView));
  View<Record> outputView = outputDataset.with("username", "test-0");

  Pipeline pipeline = new MRPipeline(TestCrunchDatasets.class);
  PCollection<GenericData.Record> data = pipeline.read(
      CrunchDatasets.asSource(inputView));
  pipeline.write(data, CrunchDatasets.asTarget(outputView), Target.WriteMode.APPEND);
  pipeline.run();

  Assert.assertEquals(1, datasetSize(outputDataset));
}
Example 9
Source File: TestCrunchDatasets.java    From kite with Apache License 2.0 6 votes vote down vote up 
@Test
public void testTargetViewProvidedPartition() throws IOException {
    PartitionStrategy partitionStrategy = new PartitionStrategy.Builder().provided("version").build();

    Dataset<Record> inputDataset = repo.create("ns", "in", new DatasetDescriptor.Builder()
            .schema(USER_SCHEMA).partitionStrategy(partitionStrategy).build());
    Dataset<Record> outputDataset = repo.create("ns", "out", new DatasetDescriptor.Builder()
            .schema(USER_SCHEMA).partitionStrategy(partitionStrategy).build());

    View<Record> inputView = inputDataset.with("version", "test-version-0");

    writeTestUsers(inputView, 1);

    Assert.assertEquals(1, datasetSize(inputView));
    View<Record> outputView = outputDataset.with("version", "test-version-0");

    Pipeline pipeline = new MRPipeline(TestCrunchDatasets.class);
    PCollection<GenericData.Record> data = pipeline.read(
            CrunchDatasets.asSource(inputView));
    pipeline.write(data, CrunchDatasets.asTarget(outputView), Target.WriteMode.APPEND);
    pipeline.run();

    Assert.assertEquals(1, datasetSize(outputDataset));
}
Example 10
Source File: TestCrunchDatasets.java    From kite with Apache License 2.0 6 votes vote down vote up 
@Test
public void testDatasetUris() throws IOException {
  PartitionStrategy partitionStrategy = new PartitionStrategy.Builder().hash(
      "username", 2).build();

  Dataset<Record> inputDataset = repo.create("ns", "in", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).partitionStrategy(partitionStrategy).build());
  Dataset<Record> outputDataset = repo.create("ns", "out", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).partitionStrategy(partitionStrategy).build());

  writeTestUsers(inputDataset, 10);

  Pipeline pipeline = new MRPipeline(TestCrunchDatasets.class);
  PCollection<GenericData.Record> data = pipeline.read(
      CrunchDatasets.asSource(new URIBuilder(repo.getUri(), "ns", "in").build(),
          GenericData.Record.class));
  pipeline.write(data, CrunchDatasets.asTarget(
      new URIBuilder(repo.getUri(), "ns", "out").build()), Target.WriteMode.APPEND);
  pipeline.run();

  Assert.assertEquals(10, datasetSize(outputDataset));
}
Example 11
Source File: TestCrunchDatasets.java    From kite with Apache License 2.0 6 votes vote down vote up 
@Test
public void testWriteModeOverwrite() throws IOException {
  Dataset<Record> inputDataset = repo.create("ns", "in", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).build());
  Dataset<Record> outputDataset = repo.create("ns", "out", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).build());

  writeTestUsers(inputDataset, 1, 0);
  writeTestUsers(outputDataset, 1, 1);

  Pipeline pipeline = new MRPipeline(TestCrunchDatasets.class);
  PCollection<GenericData.Record> data = pipeline.read(
      CrunchDatasets.asSource(inputDataset));
  pipeline.write(data, CrunchDatasets.asTarget((View<Record>) outputDataset),
      Target.WriteMode.OVERWRITE);

  pipeline.run();

  checkTestUsers(outputDataset, 1);
}
Example 12
Source File: TestCrunchDatasets.java    From kite with Apache License 2.0 6 votes vote down vote up 
@Test
public void testMultipleFileReadingFromCrunch() throws IOException {
  Dataset<Record> inputDatasetA = repo.create("ns", "inA", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).build());
  Dataset<Record> inputDatasetB = repo.create("ns", "inB", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).build());
  Dataset<Record> outputDataset = repo.create("ns", "out", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).build());

  // write two files, each of 5 records
  writeTestUsers(inputDatasetA, 5, 0);
  writeTestUsers(inputDatasetB, 5, 5);

  Pipeline pipeline = new MRPipeline(TestCrunchDatasets.class);
  PCollection<GenericData.Record> dataA = pipeline.read(
      CrunchDatasets.asSource(inputDatasetA));
  PCollection<GenericData.Record> dataB = pipeline.read(
      CrunchDatasets.asSource(inputDatasetB));
  pipeline.write(dataA.union(dataB), CrunchDatasets.asTarget(outputDataset), Target.WriteMode.APPEND);
  pipeline.run();

  checkTestUsers(outputDataset, 10);
}
Example 13
Source File: TestCrunchDatasets.java    From kite with Apache License 2.0 5 votes vote down vote up 
@Test
public void testPartitionedSourceAndTargetWritingToTopLevel() throws IOException {
  PartitionStrategy partitionStrategy = new PartitionStrategy.Builder().hash(
      "username", 2).build();

  Dataset<Record> inputDataset = repo.create("ns", "in", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).partitionStrategy(partitionStrategy).build());
  Dataset<Record> outputDataset = repo.create("ns", "out", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).partitionStrategy(partitionStrategy).build());

  writeTestUsers(inputDataset, 10);

  PartitionKey key = new PartitionKey(0);
  Dataset<Record> inputPart0 =
      ((PartitionedDataset<Record>) inputDataset).getPartition(key, false);

  Pipeline pipeline = new MRPipeline(TestCrunchDatasets.class);
  PCollection<GenericData.Record> data = pipeline.read(
      CrunchDatasets.asSource(inputPart0));
  pipeline.write(data, CrunchDatasets.asTarget(outputDataset), Target.WriteMode.APPEND);
  pipeline.run();

  Assert.assertEquals(5, datasetSize(outputDataset));

  // check all records are in the correct partition
  Dataset<Record> outputPart0 =
      ((PartitionedDataset<Record>) outputDataset).getPartition(key, false);
  Assert.assertNotNull(outputPart0);
  Assert.assertEquals(5, datasetSize(outputPart0));
}
Example 14
Source File: TestCrunchDatasets.java    From kite with Apache License 2.0 5 votes vote down vote up 
@Test
public void testViewUris() throws IOException {
  PartitionStrategy partitionStrategy = new PartitionStrategy.Builder().hash(
      "username", 2).build();

  Dataset<Record> inputDataset = repo.create("ns", "in", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).partitionStrategy(partitionStrategy).build());
  Dataset<Record> outputDataset = repo.create("ns", "out", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).partitionStrategy(partitionStrategy).build());

  writeTestUsers(inputDataset, 10);

  URI sourceViewUri = new URIBuilder(repo.getUri(), "ns", "in").with("username",
      "test-0").build();
  View<Record> inputView = Datasets.<Record, Dataset<Record>> load(sourceViewUri,
      Record.class);
  Assert.assertEquals(1, datasetSize(inputView));

  Pipeline pipeline = new MRPipeline(TestCrunchDatasets.class);
  PCollection<GenericData.Record> data = pipeline.read(CrunchDatasets
      .asSource(sourceViewUri, GenericData.Record.class));
  URI targetViewUri = new URIBuilder(repo.getUri(), "ns", "out").with(
      "email", "email-0").build();
  pipeline.write(data, CrunchDatasets.asTarget(targetViewUri),
      Target.WriteMode.APPEND);
  pipeline.run();

  Assert.assertEquals(1, datasetSize(outputDataset));
}
Example 15
Source File: TestCrunchDatasets.java    From kite with Apache License 2.0 5 votes vote down vote up 
@Test
public void testSignalReadyOutputView() {
  Assume.assumeTrue(!Hadoop.isHadoop1());
  Dataset<Record> inputDataset = repo.create("ns", "in", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).build());

  Dataset<Record> outputDataset = repo.create("ns", "out", new DatasetDescriptor.Builder()
      .schema(USER_SCHEMA).build());

  writeTestUsers(inputDataset, 10);

  View<Record> inputView = inputDataset.with("username", "test-8", "test-9");
  View<Record> outputView = outputDataset.with("username", "test-8", "test-9");
  Assert.assertEquals(2, datasetSize(inputView));

  Pipeline pipeline = new MRPipeline(TestCrunchDatasets.class);
  PCollection<GenericData.Record> data = pipeline.read(
      CrunchDatasets.asSource(inputView));
  pipeline.write(data, CrunchDatasets.asTarget(outputView), Target.WriteMode.APPEND);
  pipeline.run();

  Assert.assertEquals(2, datasetSize(outputView));

  Assert.assertFalse("Output dataset should not be signaled ready",
      ((Signalable)outputDataset).isReady());
  Assert.assertTrue("Output view should be signaled ready",
      ((Signalable)outputView).isReady());
}