Examples with StructuredRecord co.cask.cdap.api.data.format.StructuredRecord used on opensource projects

Example 66 with StructuredRecord

use of co.cask.cdap.api.data.format.StructuredRecord in project cdap by caskdata.

the class PipelineTest method testStringCaseTransform.

@Test
public void testStringCaseTransform() throws Exception {
    String inputName = "transformTestInput";
    String outputName = "transformTestOutput";
    // create the pipeline config
    ETLStage source = new ETLStage("source", MockSource.getPlugin(inputName));
    ETLStage sink = new ETLStage("sink", MockSink.getPlugin(outputName));
    Map<String, String> transformProperties = new HashMap<>();
    transformProperties.put("lowerFields", "first");
    transformProperties.put("upperFields", "last");
    ETLStage transform = new ETLStage("transform", new ETLPlugin(StringCaseTransform.NAME, Transform.PLUGIN_TYPE, transformProperties, null));
    ETLBatchConfig pipelineConfig = ETLBatchConfig.builder("* * * * *").addStage(source).addStage(sink).addStage(transform).addConnection(source.getName(), transform.getName()).addConnection(transform.getName(), sink.getName()).build();
    // create the pipeline
    ApplicationId pipelineId = NamespaceId.DEFAULT.app("transformTestPipeline");
    ApplicationManager appManager = deployApplication(pipelineId, new AppRequest<>(APP_ARTIFACT, pipelineConfig));
    // write the input
    Schema schema = Schema.recordOf("name", Schema.Field.of("first", Schema.of(Schema.Type.STRING)), Schema.Field.of("last", Schema.of(Schema.Type.STRING)));
    DataSetManager<Table> inputManager = getDataset(inputName);
    List<StructuredRecord> inputRecords = new ArrayList<>();
    inputRecords.add(StructuredRecord.builder(schema).set("first", "Samuel").set("last", "Jackson").build());
    MockSource.writeInput(inputManager, inputRecords);
    WorkflowManager workflowManager = appManager.getWorkflowManager(SmartWorkflow.NAME);
    workflowManager.start();
    workflowManager.waitForFinish(4, TimeUnit.MINUTES);
    DataSetManager<Table> outputManager = getDataset(outputName);
    List<StructuredRecord> outputRecords = MockSink.readOutput(outputManager);
    List<StructuredRecord> expected = new ArrayList<>();
    expected.add(StructuredRecord.builder(schema).set("first", "samuel").set("last", "JACKSON").build());
    Assert.assertEquals(expected, outputRecords);
}

Example 67 with StructuredRecord

use of co.cask.cdap.api.data.format.StructuredRecord in project cdap by caskdata.

the class PipelineTest method testTextFileSourceAndMoveAction.

@Test
public void testTextFileSourceAndMoveAction() throws Exception {
    // create the pipeline config
    String moveFromName = "sourceTestMoveFrom";
    String inputName = "sourceTestInput";
    String outputName = "sourceTestOutput";
    Map<String, String> actionProperties = new HashMap<>();
    actionProperties.put(FilesetMoveAction.Conf.SOURCE_FILESET, "sourceTestMoveFrom");
    actionProperties.put(FilesetMoveAction.Conf.DEST_FILESET, inputName);
    ETLStage moveAction = new ETLStage("moveInput", new ETLPlugin(FilesetMoveAction.NAME, Action.PLUGIN_TYPE, actionProperties, null));
    Map<String, String> sourceProperties = new HashMap<>();
    sourceProperties.put(TextFileSetSource.Conf.FILESET_NAME, inputName);
    sourceProperties.put(TextFileSetSource.Conf.CREATE_IF_NOT_EXISTS, "true");
    sourceProperties.put(TextFileSetSource.Conf.DELETE_INPUT_ON_SUCCESS, "true");
    sourceProperties.put(TextFileSetSource.Conf.FILES, "${file}");
    ETLStage source = new ETLStage("source", new ETLPlugin(TextFileSetSource.NAME, BatchSource.PLUGIN_TYPE, sourceProperties, null));
    ETLStage sink = new ETLStage("sink", MockSink.getPlugin(outputName));
    ETLBatchConfig pipelineConfig = ETLBatchConfig.builder("* * * * *").addStage(source).addStage(sink).addStage(moveAction).addConnection(moveAction.getName(), source.getName()).addConnection(source.getName(), sink.getName()).build();
    // create the move from fileset
    addDatasetInstance(FileSet.class.getName(), moveFromName);
    // create the pipeline
    ApplicationId pipelineId = NamespaceId.DEFAULT.app("textSourceTestPipeline");
    ApplicationManager appManager = deployApplication(pipelineId, new AppRequest<>(APP_ARTIFACT, pipelineConfig));
    // write some files that will be moved to the input fileset
    DataSetManager<FileSet> moveFromManager = getDataset(moveFromName);
    // this file starts with '.' and should be ignored.
    Location invisibleFile = moveFromManager.get().getBaseLocation().append(".hidden");
    try (OutputStream outputStream = invisibleFile.getOutputStream()) {
        outputStream.write(Bytes.toBytes("this should not be read"));
    }
    // this file should be moved
    String line1 = "Hello World!";
    String line2 = "Good to meet you";
    String line3 = "My name is Hal";
    String inputText = line1 + "\n" + line2 + "\n" + line3;
    Location inputFile = moveFromManager.get().getBaseLocation().append("inputFile");
    try (OutputStream outputStream = inputFile.getOutputStream()) {
        outputStream.write(Bytes.toBytes(inputText));
    }
    // run the pipeline
    Map<String, String> runtimeArgs = new HashMap<>();
    // the ${file} macro will be substituted with "inputFile" for our pipeline run
    runtimeArgs.put("file", "inputFile");
    WorkflowManager workflowManager = appManager.getWorkflowManager(SmartWorkflow.NAME);
    workflowManager.start(runtimeArgs);
    workflowManager.waitForFinish(4, TimeUnit.MINUTES);
    // check the pipeline output
    DataSetManager<Table> outputManager = getDataset(outputName);
    Set<StructuredRecord> outputRecords = new HashSet<>();
    outputRecords.addAll(MockSink.readOutput(outputManager));
    Set<StructuredRecord> expected = new HashSet<>();
    expected.add(StructuredRecord.builder(TextFileSetSource.OUTPUT_SCHEMA).set("position", (long) inputText.indexOf(line1)).set("text", line1).build());
    expected.add(StructuredRecord.builder(TextFileSetSource.OUTPUT_SCHEMA).set("position", (long) inputText.indexOf(line2)).set("text", line2).build());
    expected.add(StructuredRecord.builder(TextFileSetSource.OUTPUT_SCHEMA).set("position", (long) inputText.indexOf(line3)).set("text", line3).build());
    Assert.assertEquals(expected, outputRecords);
    // check that the input file does not exist in the moveFrom fileSet,
    // and was deleted by the source in the input fileSet
    Assert.assertFalse(moveFromManager.get().getBaseLocation().append("inputFile").exists());
    DataSetManager<FileSet> inputManager = getDataset(inputName);
    Assert.assertFalse(inputManager.get().getBaseLocation().append("inputFile").exists());
}

Example 68 with StructuredRecord

use of co.cask.cdap.api.data.format.StructuredRecord in project cdap by caskdata.

the class PipelineTest method testTextFileSinkAndDeletePostAction.

@Test
public void testTextFileSinkAndDeletePostAction() throws Exception {
    // create the pipeline config
    String inputName = "sinkTestInput";
    String outputName = "sinkTestOutput";
    String outputDirName = "users";
    ETLStage source = new ETLStage("source", MockSource.getPlugin(inputName));
    Map<String, String> sinkProperties = new HashMap<>();
    sinkProperties.put(TextFileSetSink.Conf.FILESET_NAME, outputName);
    sinkProperties.put(TextFileSetSink.Conf.FIELD_SEPARATOR, "|");
    sinkProperties.put(TextFileSetSink.Conf.OUTPUT_DIR, "${dir}");
    ETLStage sink = new ETLStage("sink", new ETLPlugin(TextFileSetSink.NAME, BatchSink.PLUGIN_TYPE, sinkProperties, null));
    Map<String, String> actionProperties = new HashMap<>();
    actionProperties.put(FilesetDeletePostAction.Conf.FILESET_NAME, outputName);
    // mapreduce writes multiple files to the output directory. Along with the actual output,
    // there are various .crc files that do not contain any of the output content.
    actionProperties.put(FilesetDeletePostAction.Conf.DELETE_REGEX, ".*\\.crc|_SUCCESS");
    actionProperties.put(FilesetDeletePostAction.Conf.DIRECTORY, outputDirName);
    ETLStage postAction = new ETLStage("cleanup", new ETLPlugin(FilesetDeletePostAction.NAME, PostAction.PLUGIN_TYPE, actionProperties, null));
    ETLBatchConfig pipelineConfig = ETLBatchConfig.builder("* * * * *").addStage(source).addStage(sink).addPostAction(postAction).addConnection(source.getName(), sink.getName()).build();
    // create the pipeline
    ApplicationId pipelineId = NamespaceId.DEFAULT.app("textSinkTestPipeline");
    ApplicationManager appManager = deployApplication(pipelineId, new AppRequest<>(APP_ARTIFACT, pipelineConfig));
    // write some data to the input fileset
    Schema inputSchema = Schema.recordOf("test", Schema.Field.of("name", Schema.of(Schema.Type.STRING)), Schema.Field.of("item", Schema.of(Schema.Type.STRING)));
    Map<String, String> users = new HashMap<>();
    users.put("samuel", "wallet");
    users.put("dwayne", "rock");
    users.put("christopher", "cowbell");
    List<StructuredRecord> inputRecords = new ArrayList<>();
    for (Map.Entry<String, String> userEntry : users.entrySet()) {
        String name = userEntry.getKey();
        String item = userEntry.getValue();
        inputRecords.add(StructuredRecord.builder(inputSchema).set("name", name).set("item", item).build());
    }
    DataSetManager<Table> inputManager = getDataset(inputName);
    MockSource.writeInput(inputManager, inputRecords);
    // run the pipeline
    Map<String, String> runtimeArgs = new HashMap<>();
    // the ${dir} macro will be substituted with "users" for our pipeline run
    runtimeArgs.put("dir", outputDirName);
    WorkflowManager workflowManager = appManager.getWorkflowManager(SmartWorkflow.NAME);
    workflowManager.start(runtimeArgs);
    workflowManager.waitForFinish(4, TimeUnit.MINUTES);
    // check the pipeline output
    DataSetManager<FileSet> outputManager = getDataset(outputName);
    FileSet output = outputManager.get();
    Location outputDir = output.getBaseLocation().append(outputDirName);
    Map<String, String> actual = new HashMap<>();
    for (Location outputFile : outputDir.list()) {
        if (outputFile.getName().endsWith(".crc") || "_SUCCESS".equals(outputFile.getName())) {
            Assert.fail("Post action did not delete file " + outputFile.getName());
        }
        try (BufferedReader reader = new BufferedReader(new InputStreamReader(outputFile.getInputStream()))) {
            String line;
            while ((line = reader.readLine()) != null) {
                String[] parts = line.split("\\|");
                actual.put(parts[0], parts[1]);
            }
        }
    }
    Assert.assertEquals(actual, users);
}

Example 69 with StructuredRecord

use of co.cask.cdap.api.data.format.StructuredRecord in project cdap by caskdata.

the class PreviewDataStreamsTest method testDataStreamsPreviewRun.

@Test
public void testDataStreamsPreviewRun() throws Exception {
    PreviewManager previewManager = getPreviewManager();
    String sinkTableName = "singleOutput";
    Schema schema = Schema.recordOf("testRecord", Schema.Field.of("name", Schema.of(Schema.Type.STRING)));
    List<StructuredRecord> records = new ArrayList<>();
    StructuredRecord recordSamuel = StructuredRecord.builder(schema).set("name", "samuel").build();
    StructuredRecord recordBob = StructuredRecord.builder(schema).set("name", "bob").build();
    StructuredRecord recordTest = StructuredRecord.builder(schema).set("name", "test").build();
    records.add(recordSamuel);
    records.add(recordBob);
    records.add(recordTest);
    /*
     * source --> transform -> sink
     */
    DataStreamsConfig etlConfig = DataStreamsConfig.builder().addStage(new ETLStage("source", MockSource.getPlugin(schema, records))).addStage(new ETLStage("transform", IdentityTransform.getPlugin())).addStage(new ETLStage("sink", MockSink.getPlugin(sinkTableName))).addConnection("source", "transform").addConnection("transform", "sink").setNumOfRecordsPreview(100).setBatchInterval("1s").build();
    // Construct the preview config with the program name and program type.
    PreviewConfig previewConfig = new PreviewConfig(DataStreamsSparkLauncher.NAME, ProgramType.SPARK, Collections.<String, String>emptyMap(), 1);
    AppRequest<DataStreamsConfig> appRequest = new AppRequest<>(APP_ARTIFACT, etlConfig, previewConfig);
    // Start the preview and get the corresponding PreviewRunner.
    ApplicationId previewId = previewManager.start(NamespaceId.DEFAULT, appRequest);
    final PreviewRunner previewRunner = previewManager.getRunner(previewId);
    // Wait for the preview to be running and wait until the records are processed in the sink.
    Tasks.waitFor(true, new Callable<Boolean>() {

        @Override
        public Boolean call() throws Exception {
            Map<String, List<JsonElement>> data = previewRunner.getData("sink");
            return data != null && data.get(DATA_TRACER_PROPERTY) != null && data.get(DATA_TRACER_PROPERTY).size() == 3;
        }
    }, 1, TimeUnit.MINUTES);
    // check data in source and transform
    checkPreviewStore(previewRunner, "source", 3);
    checkPreviewStore(previewRunner, "transform", 3);
    // Wait for the pipeline to be shutdown by timer.
    TimeUnit.MINUTES.sleep(1);
    Tasks.waitFor(PreviewStatus.Status.KILLED_BY_TIMER, new Callable<PreviewStatus.Status>() {

        @Override
        public PreviewStatus.Status call() throws Exception {
            return previewRunner.getStatus().getStatus();
        }
    }, 1, TimeUnit.MINUTES);
    // Validate the metrics for preview
    validateMetric(3, previewId, "source.records.out", previewRunner);
    validateMetric(3, previewId, "transform.records.in", previewRunner);
    validateMetric(3, previewId, "transform.records.out", previewRunner);
    validateMetric(3, previewId, "sink.records.in", previewRunner);
    validateMetric(3, previewId, "sink.records.out", previewRunner);
    // Check the sink table is not created in the real space.
    DataSetManager<Table> sinkManager = getDataset(sinkTableName);
    Assert.assertNull(sinkManager.get());
}

Example 70 with StructuredRecord

use of co.cask.cdap.api.data.format.StructuredRecord 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").build();
    AppRequest<DataStreamsConfig> appRequest = new AppRequest<>(APP_ARTIFACT, etlConfig);
    ApplicationId appId = NamespaceId.DEFAULT.app("WindowerApp");
    ApplicationManager appManager = deployApplication(appId.toId(), appRequest);
    SparkManager sparkManager = appManager.getSparkManager(DataStreamsSparkLauncher.NAME);
    sparkManager.start();
    sparkManager.waitForStatus(true, 10, 1);
    // 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();
}