Examples with TxRunnable io.cdap.cdap.api.TxRunnable used on opensource projects

Example 1 with TxRunnable

use of io.cdap.cdap.api.TxRunnable in project cdap by caskdata.

the class HiveExploreStructuredRecordTestRun method start.

@BeforeClass
public static void start() throws Exception {
    initialize(tmpFolder);
    DatasetModuleId moduleId = NAMESPACE_ID.datasetModule("email");
    datasetFramework.addModule(moduleId, new EmailTableDefinition.EmailTableModule());
    datasetFramework.addInstance("email", MY_TABLE, DatasetProperties.EMPTY);
    transactional = Transactions.createTransactional(new MultiThreadDatasetCache(new SystemDatasetInstantiator(datasetFramework), transactionSystemClient, NAMESPACE_ID, Collections.<String, String>emptyMap(), null, null));
    transactional.execute(new TxRunnable() {

        @Override
        public void run(DatasetContext context) throws Exception {
            // Accessing dataset instance to perform data operations
            EmailTableDefinition.EmailTable table = context.getDataset(MY_TABLE.getDataset());
            Assert.assertNotNull(table);
            table.writeEmail("email1", "this is the subject", "this is the body", "sljackson@boss.com");
        }
    });
    datasetFramework.addModule(NAMESPACE_ID.datasetModule("TableWrapper"), new TableWrapperDefinition.Module());
}

Example 2 with TxRunnable

use of io.cdap.cdap.api.TxRunnable in project cdap by caskdata.

the class TxLookupProvider method executeLookup.

@Nullable
private <T, R> R executeLookup(final String table, final Map<String, String> arguments, final Function<Lookup<T>, R> func) {
    final AtomicReference<R> result = new AtomicReference<>();
    Transactionals.execute(tx, new TxRunnable() {

        @Override
        public void run(DatasetContext context) throws Exception {
            Lookup<T> lookup = getLookup(table, context.getDataset(table, arguments));
            result.set(func.apply(lookup));
        }
    });
    return result.get();
}

Example 3 with TxRunnable

use of io.cdap.cdap.api.TxRunnable in project cdap by caskdata.

the class DStreamCollection method compute.

@Override
public <U> SparkCollection<U> compute(StageSpec stageSpec, SparkCompute<T, U> compute) throws Exception {
    SparkCompute<T, U> wrappedCompute = new DynamicSparkCompute<>(new DynamicDriverContext(stageSpec, sec, new NoopStageStatisticsCollector()), compute);
    Transactionals.execute(sec, new TxRunnable() {

        @Override
        public void run(DatasetContext datasetContext) throws Exception {
            PipelineRuntime pipelineRuntime = new SparkPipelineRuntime(sec);
            SparkExecutionPluginContext sparkPluginContext = new BasicSparkExecutionPluginContext(sec, JavaSparkContext.fromSparkContext(stream.context().sparkContext()), datasetContext, pipelineRuntime, stageSpec);
            wrappedCompute.initialize(sparkPluginContext);
        }
    }, Exception.class);
    return wrap(stream.transform(new ComputeTransformFunction<>(sec, stageSpec, wrappedCompute)));
}

Example 4 with TxRunnable

use of io.cdap.cdap.api.TxRunnable in project cdap by caskdata.

the class StreamingMultiSinkFunction method call.

@Override
public void call(JavaRDD<RecordInfo<Object>> data, Time batchTime) throws Exception {
    long logicalStartTime = batchTime.milliseconds();
    MacroEvaluator evaluator = new DefaultMacroEvaluator(new BasicArguments(sec), logicalStartTime, sec.getSecureStore(), sec.getServiceDiscoverer(), sec.getNamespace());
    PluginContext pluginContext = new SparkPipelinePluginContext(sec.getPluginContext(), sec.getMetrics(), phaseSpec.isStageLoggingEnabled(), phaseSpec.isProcessTimingEnabled());
    SparkBatchSinkFactory sinkFactory = new SparkBatchSinkFactory();
    PipelineRuntime pipelineRuntime = new SparkPipelineRuntime(sec, logicalStartTime);
    Map<String, SubmitterLifecycle<?>> stages = createStages(evaluator);
    // call prepareRun() on all the stages in the group
    // need to call it in an order that guarantees that inputs are called before outputs
    // this is because plugins can call getArguments().set() in the prepareRun() method,
    // which downstream stages should be able to read
    List<String> traversalOrder = new ArrayList(group.size());
    for (String stageName : phaseSpec.getPhase().getDag().getTopologicalOrder()) {
        if (group.contains(stageName)) {
            traversalOrder.add(stageName);
        }
    }
    for (String stageName : traversalOrder) {
        SubmitterLifecycle<?> plugin = stages.get(stageName);
        StageSpec stageSpec = phaseSpec.getPhase().getStage(stageName);
        try {
            prepareRun(pipelineRuntime, sinkFactory, stageSpec, plugin);
        } catch (Exception e) {
            LOG.error("Error preparing sink {} for the batch for time {}.", stageName, logicalStartTime, e);
            return;
        }
    }
    // run the actual transforms and sinks in this group
    boolean ranSuccessfully = true;
    try {
        MultiSinkFunction multiSinkFunction = new MultiSinkFunction(sec, phaseSpec, group, collectors);
        Set<String> outputNames = sinkFactory.writeCombinedRDD(data.flatMapToPair(multiSinkFunction), sec, sinkNames);
        sec.execute(new TxRunnable() {

            @Override
            public void run(DatasetContext context) throws Exception {
                for (String outputName : outputNames) {
                    ExternalDatasets.registerLineage(sec.getAdmin(), outputName, AccessType.WRITE, null, () -> context.getDataset(outputName));
                }
            }
        });
    } catch (Exception e) {
        LOG.error("Error writing to sinks {} for the batch for time {}.", sinkNames, logicalStartTime, e);
        ranSuccessfully = false;
    }
    // run onRunFinish() for each sink
    for (String stageName : traversalOrder) {
        SubmitterLifecycle<?> plugin = stages.get(stageName);
        StageSpec stageSpec = phaseSpec.getPhase().getStage(stageName);
        try {
            onRunFinish(pipelineRuntime, sinkFactory, stageSpec, plugin, ranSuccessfully);
        } catch (Exception e) {
            LOG.warn("Unable to execute onRunFinish for sink {}", stageName, e);
        }
    }
}

Example 5 with TxRunnable

use of io.cdap.cdap.api.TxRunnable in project cdap by caskdata.

the class DynamicSparkCompute method lazyInit.

// when checkpointing is enabled, and Spark is loading DStream operations from an existing checkpoint,
// delegate will be null and the initialize() method won't have been called. So we need to instantiate
// the delegate and initialize it.
private void lazyInit(final JavaSparkContext jsc) throws Exception {
    if (delegate == null) {
        PluginFunctionContext pluginFunctionContext = dynamicDriverContext.getPluginFunctionContext();
        delegate = pluginFunctionContext.createPlugin();
        final StageSpec stageSpec = pluginFunctionContext.getStageSpec();
        final JavaSparkExecutionContext sec = dynamicDriverContext.getSparkExecutionContext();
        Transactionals.execute(sec, new TxRunnable() {

            @Override
            public void run(DatasetContext datasetContext) throws Exception {
                PipelineRuntime pipelineRuntime = new SparkPipelineRuntime(sec);
                SparkExecutionPluginContext sparkPluginContext = new BasicSparkExecutionPluginContext(sec, jsc, datasetContext, pipelineRuntime, stageSpec);
                delegate.initialize(sparkPluginContext);
            }
        }, Exception.class);
    }
}