Examples with DataStreamsConfig io.cdap.cdap.etl.proto.v2.DataStreamsConfig used on opensource projects

Example 26 with DataStreamsConfig

use of io.cdap.cdap.etl.proto.v2.DataStreamsConfig in project cdap by caskdata.

the class Upgrader method convertStreamsConfig.

private DataStreamsConfig convertStreamsConfig(String configStr) {
    DataStreamsConfig config = GSON.fromJson(configStr, DataStreamsConfig.class);
    DataStreamsConfig.Builder builder = DataStreamsConfig.builder().addConnections(config.getConnections()).setResources(config.getResources()).setDriverResources(config.getDriverResources()).setClientResources(config.getClientResources()).setBatchInterval(config.getBatchInterval()).setCheckpointDir(config.getCheckpointDir()).setNumOfRecordsPreview(config.getNumOfRecordsPreview());
    for (ETLStage stage : config.getStages()) {
        builder.addStage(stage.upgradeStage(dataStreamsContext));
    }
    return builder.build();
}

Example 27 with DataStreamsConfig

use of io.cdap.cdap.etl.proto.v2.DataStreamsConfig in project cdap by caskdata.

the class DataStreamsTest method testTransformComputeWithMacros.

@Test
public void testTransformComputeWithMacros() throws Exception {
    Schema schema = Schema.recordOf("test", Schema.Field.of("id", Schema.of(Schema.Type.STRING)), Schema.Field.of("name", Schema.of(Schema.Type.STRING)));
    List<StructuredRecord> input = new ArrayList<>();
    StructuredRecord samuelRecord = StructuredRecord.builder(schema).set("id", "123").set("name", "samuel").build();
    StructuredRecord jacksonRecord = StructuredRecord.builder(schema).set("id", "456").set("name", "jackson").build();
    StructuredRecord dwayneRecord = StructuredRecord.builder(schema).set("id", "789").set("name", "dwayne").build();
    StructuredRecord johnsonRecord = StructuredRecord.builder(schema).set("id", "0").set("name", "johnson").build();
    input.add(samuelRecord);
    input.add(jacksonRecord);
    input.add(dwayneRecord);
    input.add(johnsonRecord);
    DataStreamsConfig etlConfig = DataStreamsConfig.builder().addStage(new ETLStage("source", MockSource.getPlugin(schema, input))).addStage(new ETLStage("sink", MockSink.getPlugin("${output}"))).addStage(new ETLStage("filter1", StringValueFilterTransform.getPlugin("${field}", "${val1}"))).addStage(new ETLStage("filter2", StringValueFilterCompute.getPlugin("${field}", "${val2}"))).addStage(new ETLStage("sleep", SleepTransform.getPlugin(2L))).addConnection("source", "sleep").addConnection("sleep", "filter1").addConnection("filter1", "filter2").addConnection("filter2", "sink").setBatchInterval("1s").build();
    ApplicationId appId = NamespaceId.DEFAULT.app("simpleApp");
    AppRequest<DataStreamsConfig> appRequest = new AppRequest<>(APP_ARTIFACT, etlConfig);
    ApplicationManager appManager = deployApplication(appId, appRequest);
    Set<StructuredRecord> expected = new HashSet<>();
    expected.add(samuelRecord);
    expected.add(jacksonRecord);
    testTransformComputeRun(appManager, expected, "dwayne", "johnson", "macroOutput1");
    validateMetric(appId, "source.records.out", 4);
    validateMetric(appId, "sleep.records.in", 4);
    validateMetric(appId, "sleep.records.out", 4);
    validateMetric(appId, "filter1.records.in", 4);
    validateMetric(appId, "filter1.records.out", 3);
    validateMetric(appId, "filter2.records.in", 3);
    validateMetric(appId, "filter2.records.out", 2);
    validateMetric(appId, "sink.records.in", 2);
    Assert.assertTrue(getMetric(appId, "sleep." + io.cdap.cdap.etl.common.Constants.Metrics.TOTAL_TIME) > 0L);
    expected.clear();
    expected.add(dwayneRecord);
    expected.add(johnsonRecord);
    testTransformComputeRun(appManager, expected, "samuel", "jackson", "macroOutput2");
}

Example 28 with DataStreamsConfig

use of io.cdap.cdap.etl.proto.v2.DataStreamsConfig in project cdap by caskdata.

the class DataStreamsTest method testParallelAggregators.

private void testParallelAggregators(boolean isReducibleAggregator) throws Exception {
    String sink1Name = "pAggOutput1-" + isReducibleAggregator;
    String sink2Name = "pAggOutput2-" + isReducibleAggregator;
    Schema inputSchema = Schema.recordOf("testRecord", Schema.Field.of("user", Schema.of(Schema.Type.STRING)), Schema.Field.of("item", Schema.of(Schema.Type.LONG)));
    List<StructuredRecord> input1 = ImmutableList.of(StructuredRecord.builder(inputSchema).set("user", "samuel").set("item", 1L).build(), StructuredRecord.builder(inputSchema).set("user", "samuel").set("item", 2L).build());
    List<StructuredRecord> input2 = ImmutableList.of(StructuredRecord.builder(inputSchema).set("user", "samuel").set("item", 3L).build(), StructuredRecord.builder(inputSchema).set("user", "john").set("item", 4L).build(), StructuredRecord.builder(inputSchema).set("user", "john").set("item", 3L).build());
    /*
       source1 --|--> agg1 --> sink1
                 |
       source2 --|--> agg2 --> sink2
     */
    DataStreamsConfig pipelineConfig = DataStreamsConfig.builder().setBatchInterval("5s").addStage(new ETLStage("source1", MockSource.getPlugin(inputSchema, input1))).addStage(new ETLStage("source2", MockSource.getPlugin(inputSchema, input2))).addStage(new ETLStage("sink1", MockSink.getPlugin(sink1Name))).addStage(new ETLStage("sink2", MockSink.getPlugin(sink2Name))).addStage(new ETLStage("agg1", isReducibleAggregator ? FieldCountReducibleAggregator.getPlugin("user", "string") : FieldCountAggregator.getPlugin("user", "string"))).addStage(new ETLStage("agg2", isReducibleAggregator ? FieldCountReducibleAggregator.getPlugin("item", "long") : FieldCountAggregator.getPlugin("item", "long"))).addConnection("source1", "agg1").addConnection("source1", "agg2").addConnection("source2", "agg1").addConnection("source2", "agg2").addConnection("agg1", "sink1").addConnection("agg2", "sink2").setCheckpointDir(checkpointDir).disableCheckpoints().build();
    AppRequest<DataStreamsConfig> appRequest = new AppRequest<>(APP_ARTIFACT, pipelineConfig);
    ApplicationId appId = NamespaceId.DEFAULT.app("ParallelAggApp" + isReducibleAggregator);
    ApplicationManager appManager = deployApplication(appId, appRequest);
    SparkManager sparkManager = appManager.getSparkManager(DataStreamsSparkLauncher.NAME);
    sparkManager.start();
    sparkManager.waitForRun(ProgramRunStatus.RUNNING, 10, TimeUnit.SECONDS);
    Schema outputSchema1 = Schema.recordOf("user.count", Schema.Field.of("user", Schema.of(Schema.Type.STRING)), Schema.Field.of("ct", Schema.of(Schema.Type.LONG)));
    Schema outputSchema2 = Schema.recordOf("item.count", Schema.Field.of("item", Schema.of(Schema.Type.LONG)), Schema.Field.of("ct", Schema.of(Schema.Type.LONG)));
    // check output
    DataSetManager<Table> sinkManager1 = getDataset(sink1Name);
    Set<StructuredRecord> expected1 = ImmutableSet.of(StructuredRecord.builder(outputSchema1).set("user", "all").set("ct", 5L).build(), StructuredRecord.builder(outputSchema1).set("user", "samuel").set("ct", 3L).build(), StructuredRecord.builder(outputSchema1).set("user", "john").set("ct", 2L).build());
    Tasks.waitFor(true, () -> {
        sinkManager1.flush();
        Set<StructuredRecord> outputRecords = new HashSet<>(MockSink.readOutput(sinkManager1));
        return expected1.equals(outputRecords);
    }, 1, TimeUnit.MINUTES);
    DataSetManager<Table> sinkManager2 = getDataset(sink2Name);
    Set<StructuredRecord> expected2 = ImmutableSet.of(StructuredRecord.builder(outputSchema2).set("item", 0L).set("ct", 5L).build(), StructuredRecord.builder(outputSchema2).set("item", 1L).set("ct", 1L).build(), StructuredRecord.builder(outputSchema2).set("item", 2L).set("ct", 1L).build(), StructuredRecord.builder(outputSchema2).set("item", 3L).set("ct", 2L).build(), StructuredRecord.builder(outputSchema2).set("item", 4L).set("ct", 1L).build());
    Tasks.waitFor(true, () -> {
        sinkManager2.flush();
        Set<StructuredRecord> outputRecords = new HashSet<>(MockSink.readOutput(sinkManager2));
        return expected2.equals(outputRecords);
    }, 1, TimeUnit.MINUTES);
    sparkManager.stop();
    sparkManager.waitForStopped(10, TimeUnit.SECONDS);
    validateMetric(appId, "source1.records.out", 2);
    validateMetric(appId, "source2.records.out", 3);
    validateMetric(appId, "agg1.records.in", 5);
    validateMetric(appId, "agg1.records.out", 3);
    validateMetric(appId, "agg2.records.in", 5);
    validateMetric(appId, "agg2.records.out", 5);
    validateMetric(appId, "sink1.records.in", 3);
    validateMetric(appId, "sink2.records.in", 5);
}

Example 29 with DataStreamsConfig

use of io.cdap.cdap.etl.proto.v2.DataStreamsConfig in project cdap by caskdata.

the class DataStreamsTest method testLineageWithMacros.

@Test
public void testLineageWithMacros() throws Exception {
    Schema schema = Schema.recordOf("test", Schema.Field.of("key", Schema.of(Schema.Type.STRING)), Schema.Field.of("value", Schema.of(Schema.Type.STRING)));
    List<StructuredRecord> input = ImmutableList.of(StructuredRecord.builder(schema).set("key", "key1").set("value", "value1").build(), StructuredRecord.builder(schema).set("key", "key2").set("value", "value2").build());
    String srcName = "lineageSource";
    String sinkName1 = "lineageOutput1";
    String sinkName2 = "lineageOutput2";
    DataStreamsConfig etlConfig = DataStreamsConfig.builder().addStage(new ETLStage("source", MockSource.getPlugin(schema, input, 0L, srcName))).addStage(new ETLStage("sink", MockSink.getPlugin("${output}"))).addStage(new ETLStage("identity", IdentityTransform.getPlugin())).addConnection("source", "identity").addConnection("identity", "sink").setCheckpointDir(checkpointDir).setBatchInterval("1s").build();
    ApplicationId appId = NamespaceId.DEFAULT.app("lineageApp");
    AppRequest<DataStreamsConfig> appRequest = new AppRequest<>(APP_ARTIFACT, etlConfig);
    ApplicationManager appManager = deployApplication(appId, appRequest);
    ProgramId spark = appId.spark(DataStreamsSparkLauncher.NAME);
    RunId runId = testLineageWithMacro(appManager, new HashSet<>(input), sinkName1);
    FieldLineageAdmin fieldAdmin = getFieldLineageAdmin();
    LineageAdmin lineageAdmin = getLineageAdmin();
    // wait for the lineage get populated
    Tasks.waitFor(true, () -> {
        Lineage dsLineage = lineageAdmin.computeLineage(NamespaceId.DEFAULT.dataset(srcName), 0, System.currentTimeMillis(), 1, "workflow");
        DatasetFieldLineageSummary fll = fieldAdmin.getDatasetFieldLineage(Constants.FieldLineage.Direction.BOTH, EndPoint.of("default", srcName), 0, System.currentTimeMillis());
        return dsLineage.getRelations().size() == 2 && !fll.getOutgoing().isEmpty();
    }, 10, TimeUnit.SECONDS);
    Lineage lineage = lineageAdmin.computeLineage(NamespaceId.DEFAULT.dataset(srcName), 0, System.currentTimeMillis(), 1, "workflow");
    Set<Relation> expectedLineage = ImmutableSet.of(new Relation(NamespaceId.DEFAULT.dataset(srcName), spark, AccessType.READ, runId), new Relation(NamespaceId.DEFAULT.dataset(sinkName1), spark, AccessType.WRITE, runId));
    Assert.assertEquals(expectedLineage, lineage.getRelations());
    DatasetFieldLineageSummary summary = fieldAdmin.getDatasetFieldLineage(Constants.FieldLineage.Direction.BOTH, EndPoint.of("default", srcName), 0, System.currentTimeMillis());
    Assert.assertEquals(NamespaceId.DEFAULT.dataset(srcName), summary.getDatasetId());
    Assert.assertEquals(ImmutableSet.of("key", "value"), summary.getFields());
    Assert.assertTrue(summary.getIncoming().isEmpty());
    Set<DatasetFieldLineageSummary.FieldLineageRelations> outgoing = summary.getOutgoing();
    Assert.assertEquals(1, outgoing.size());
    Set<DatasetFieldLineageSummary.FieldLineageRelations> expectedRelations = Collections.singleton(new DatasetFieldLineageSummary.FieldLineageRelations(NamespaceId.DEFAULT.dataset(sinkName1), 2, ImmutableSet.of(new FieldRelation("key", "key"), new FieldRelation("value", "value"))));
    Assert.assertEquals(expectedRelations, outgoing);
    // here sleep for 1 seconds to start the second run because the dataset lineage is storing based on unit second
    TimeUnit.SECONDS.sleep(1);
    long startTimeMillis = System.currentTimeMillis();
    runId = testLineageWithMacro(appManager, new HashSet<>(input), sinkName2);
    // wait for the lineage get populated
    Tasks.waitFor(true, () -> {
        Lineage dsLineage = lineageAdmin.computeLineage(NamespaceId.DEFAULT.dataset(srcName), startTimeMillis, System.currentTimeMillis(), 1, "workflow");
        long end = System.currentTimeMillis();
        DatasetFieldLineageSummary fll = fieldAdmin.getDatasetFieldLineage(Constants.FieldLineage.Direction.BOTH, EndPoint.of("default", srcName), startTimeMillis, end);
        return dsLineage.getRelations().size() == 2 && !fll.getOutgoing().isEmpty();
    }, 10, TimeUnit.SECONDS);
    lineage = lineageAdmin.computeLineage(NamespaceId.DEFAULT.dataset(srcName), startTimeMillis, System.currentTimeMillis(), 1, "workflow");
    expectedLineage = ImmutableSet.of(new Relation(NamespaceId.DEFAULT.dataset(srcName), spark, AccessType.READ, runId), new Relation(NamespaceId.DEFAULT.dataset(sinkName2), spark, AccessType.WRITE, runId));
    Assert.assertEquals(expectedLineage, lineage.getRelations());
    summary = fieldAdmin.getDatasetFieldLineage(Constants.FieldLineage.Direction.BOTH, EndPoint.of("default", srcName), startTimeMillis, System.currentTimeMillis());
    Assert.assertEquals(NamespaceId.DEFAULT.dataset(srcName), summary.getDatasetId());
    Assert.assertEquals(ImmutableSet.of("key", "value"), summary.getFields());
    Assert.assertTrue(summary.getIncoming().isEmpty());
    outgoing = summary.getOutgoing();
    Assert.assertEquals(1, outgoing.size());
    expectedRelations = Collections.singleton(new DatasetFieldLineageSummary.FieldLineageRelations(NamespaceId.DEFAULT.dataset(sinkName2), 2, ImmutableSet.of(new FieldRelation("key", "key"), new FieldRelation("value", "value"))));
    Assert.assertEquals(expectedRelations, outgoing);
}

Example 30 with DataStreamsConfig

use of io.cdap.cdap.etl.proto.v2.DataStreamsConfig in project cdap by caskdata.

the class DataStreamsTest method testWindower.

@Test
public void testWindower() throws Exception {
    /*
     * source --> window(width=10,interval=1) --> aggregator --> filter --> sink
     */
    Schema schema = Schema.recordOf("data", Schema.Field.of("x", Schema.of(Schema.Type.STRING)));
    List<StructuredRecord> input = ImmutableList.of(StructuredRecord.builder(schema).set("x", "abc").build(), StructuredRecord.builder(schema).set("x", "abc").build(), StructuredRecord.builder(schema).set("x", "abc").build());
    String sinkName = "windowOut";
    // source sleeps 1 second between outputs
    DataStreamsConfig etlConfig = DataStreamsConfig.builder().addStage(new ETLStage("source", MockSource.getPlugin(schema, input, 1000L))).addStage(new ETLStage("window", Window.getPlugin(30, 1))).addStage(new ETLStage("agg", FieldCountAggregator.getPlugin("x", "string"))).addStage(new ETLStage("filter", StringValueFilterTransform.getPlugin("x", "all"))).addStage(new ETLStage("sink", MockSink.getPlugin(sinkName))).addConnection("source", "window").addConnection("window", "agg").addConnection("agg", "filter").addConnection("filter", "sink").setBatchInterval("1s").setCheckpointDir(checkpointDir).build();
    AppRequest<DataStreamsConfig> appRequest = new AppRequest<>(APP_ARTIFACT, etlConfig);
    ApplicationId appId = NamespaceId.DEFAULT.app("WindowerApp");
    ApplicationManager appManager = deployApplication(appId, appRequest);
    SparkManager sparkManager = appManager.getSparkManager(DataStreamsSparkLauncher.NAME);
    sparkManager.start();
    sparkManager.waitForRun(ProgramRunStatus.RUNNING, 10, TimeUnit.SECONDS);
    // the sink should contain at least one record with count of 3, and no records with more than 3.
    // less than 3 if the window doesn't contain all 3 records yet, but there should eventually be a window
    // that contains all 3.
    final DataSetManager<Table> outputManager = getDataset(sinkName);
    Tasks.waitFor(true, new Callable<Boolean>() {

        @Override
        public Boolean call() throws Exception {
            outputManager.flush();
            boolean sawThree = false;
            for (StructuredRecord record : MockSink.readOutput(outputManager)) {
                long count = record.get("ct");
                if (count == 3L) {
                    sawThree = true;
                }
                Assert.assertTrue(count <= 3L);
            }
            return sawThree;
        }
    }, 2, TimeUnit.MINUTES);
    sparkManager.stop();
}