Examples with FieldLineageReader io.cdap.cdap.data2.metadata.lineage.field.FieldLineageReader used on opensource projects

Example 1 with FieldLineageReader

use of io.cdap.cdap.data2.metadata.lineage.field.FieldLineageReader in project cdap by caskdata.

the class MetadataSubscriberServiceTest method testSubscriber.

@Test
public void testSubscriber() throws InterruptedException, ExecutionException, TimeoutException {
    LineageStoreReader lineageReader = getInjector().getInstance(LineageStoreReader.class);
    ProgramRunId run1 = service1.run(RunIds.generate());
    // Try to read lineage, which should be empty since we haven't start the MetadataSubscriberService yet.
    Set<NamespacedEntityId> entities = lineageReader.getEntitiesForRun(run1);
    Assert.assertTrue(entities.isEmpty());
    // Write out some lineage information
    LineageWriter lineageWriter = getInjector().getInstance(MessagingLineageWriter.class);
    lineageWriter.addAccess(run1, dataset1, AccessType.READ);
    lineageWriter.addAccess(run1, dataset2, AccessType.WRITE);
    // Write the field level lineage
    FieldLineageWriter fieldLineageWriter = getInjector().getInstance(MessagingLineageWriter.class);
    ProgramRunId spark1Run1 = spark1.run(RunIds.generate(100));
    ReadOperation read = new ReadOperation("read", "some read", EndPoint.of("ns", "endpoint1"), "offset", "body");
    TransformOperation parse = new TransformOperation("parse", "parse body", Collections.singletonList(InputField.of("read", "body")), "name", "address");
    WriteOperation write = new WriteOperation("write", "write data", EndPoint.of("ns", "endpoint2"), Arrays.asList(InputField.of("read", "offset"), InputField.of("parse", "name"), InputField.of("parse", "address")));
    List<Operation> operations = new ArrayList<>();
    operations.add(read);
    operations.add(write);
    operations.add(parse);
    FieldLineageInfo info1 = new FieldLineageInfo(operations);
    fieldLineageWriter.write(spark1Run1, info1);
    ProgramRunId spark1Run2 = spark1.run(RunIds.generate(200));
    fieldLineageWriter.write(spark1Run2, info1);
    List<Operation> operations2 = new ArrayList<>();
    operations2.add(read);
    operations2.add(parse);
    TransformOperation normalize = new TransformOperation("normalize", "normalize address", Collections.singletonList(InputField.of("parse", "address")), "address");
    operations2.add(normalize);
    WriteOperation anotherWrite = new WriteOperation("anotherwrite", "write data", EndPoint.of("ns", "endpoint2"), Arrays.asList(InputField.of("read", "offset"), InputField.of("parse", "name"), InputField.of("normalize", "address")));
    operations2.add(anotherWrite);
    FieldLineageInfo info2 = new FieldLineageInfo(operations2);
    ProgramRunId spark1Run3 = spark1.run(RunIds.generate(300));
    fieldLineageWriter.write(spark1Run3, info2);
    // Emit some usages
    UsageWriter usageWriter = getInjector().getInstance(MessagingUsageWriter.class);
    usageWriter.register(spark1, dataset1);
    usageWriter.registerAll(Collections.singleton(spark1), dataset3);
    // Verifies lineage has been written
    Set<NamespacedEntityId> expectedLineage = new HashSet<>(Arrays.asList(run1.getParent(), dataset1, dataset2));
    Tasks.waitFor(true, () -> expectedLineage.equals(lineageReader.getEntitiesForRun(run1)), 10, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    // There shouldn't be any lineage for the "spark1" program, as only usage has been emitted.
    Assert.assertTrue(lineageReader.getRelations(spark1, 0L, Long.MAX_VALUE, x -> true).isEmpty());
    FieldLineageReader fieldLineageReader = getInjector().getInstance(FieldLineageReader.class);
    Set<Operation> expectedOperations = new HashSet<>();
    expectedOperations.add(read);
    expectedOperations.add(anotherWrite);
    List<ProgramRunOperations> expected = new ArrayList<>();
    // Descending order of program execution
    expected.add(new ProgramRunOperations(Collections.singleton(spark1Run3), expectedOperations));
    expectedOperations = new HashSet<>();
    expectedOperations.add(read);
    expectedOperations.add(write);
    expected.add(new ProgramRunOperations(new HashSet<>(Arrays.asList(spark1Run1, spark1Run2)), expectedOperations));
    EndPointField endPointField = new EndPointField(EndPoint.of("ns", "endpoint2"), "offset");
    Tasks.waitFor(expected, () -> fieldLineageReader.getIncomingOperations(endPointField, 1L, Long.MAX_VALUE - 1), 10, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    // Verifies usage has been written
    Set<EntityId> expectedUsage = new HashSet<>(Arrays.asList(dataset1, dataset3));
    UsageRegistry usageRegistry = getInjector().getInstance(UsageRegistry.class);
    Tasks.waitFor(true, () -> expectedUsage.equals(usageRegistry.getDatasets(spark1)), 10, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
}

Example 2 with FieldLineageReader

use of io.cdap.cdap.data2.metadata.lineage.field.FieldLineageReader in project cdap by caskdata.

the class LineageLimitingTest method testLineageLimiting.

@Test
public void testLineageLimiting() throws InterruptedException, ExecutionException, TimeoutException {
    LineageStoreReader lineageReader = getInjector().getInstance(LineageStoreReader.class);
    ProgramRunId run1 = service1.run(RunIds.generate());
    // Write out some lineage information
    LineageWriter lineageWriter = getInjector().getInstance(MessagingLineageWriter.class);
    lineageWriter.addAccess(run1, dataset1, AccessType.READ);
    lineageWriter.addAccess(run1, dataset2, AccessType.WRITE);
    // Write the field level lineage
    FieldLineageWriter fieldLineageWriter = getInjector().getInstance(MessagingLineageWriter.class);
    ProgramRunId spark1Run1 = spark1.run(RunIds.generate(100));
    ReadOperation read = new ReadOperation("read", "some read", EndPoint.of("ns", "endpoint1"), "offset", "body");
    TransformOperation parse = new TransformOperation("parse", "parse body", Collections.singletonList(InputField.of("read", "body")), "name", "address");
    WriteOperation write = new WriteOperation("write", "write data", EndPoint.of("ns", "endpoint2"), Arrays.asList(InputField.of("read", "offset"), InputField.of("parse", "name"), InputField.of("parse", "address")));
    List<Operation> operations = new ArrayList<>();
    operations.add(read);
    operations.add(write);
    operations.add(parse);
    FieldLineageInfo info1 = new FieldLineageInfo(operations);
    fieldLineageWriter.write(spark1Run1, info1);
    ProgramRunId spark1Run2 = spark1.run(RunIds.generate(200));
    fieldLineageWriter.write(spark1Run2, info1);
    // Verifies lineage has been written as it is smaller than maximum specified size
    Set<NamespacedEntityId> expectedLineage = new HashSet<>(Arrays.asList(run1.getParent(), dataset1, dataset2));
    Tasks.waitFor(true, () -> expectedLineage.equals(lineageReader.getEntitiesForRun(run1)), 10, TimeUnit.SECONDS, 100, TimeUnit.MILLISECONDS);
    FieldLineageReader fieldLineageReader = getInjector().getInstance(FieldLineageReader.class);
    // Verifies that empty lineage has been written
    EndPointField endPointField = new EndPointField(EndPoint.of("ns", "endpoint2"), "offset");
    List<ProgramRunOperations> incomingOperations = fieldLineageReader.getIncomingOperations(endPointField, 1L, Long.MAX_VALUE - 1);
    Assert.assertTrue(incomingOperations.isEmpty());
}