use of io.cdap.cdap.etl.api.AlertPublisherContext in project cdap by caskdata.
the class BaseRDDCollection method publishAlerts.
@Override
public void publishAlerts(StageSpec stageSpec, StageStatisticsCollector collector) throws Exception {
PluginFunctionContext pluginFunctionContext = new PluginFunctionContext(stageSpec, sec, collector);
AlertPublisher alertPublisher = pluginFunctionContext.createPlugin();
PipelineRuntime pipelineRuntime = new SparkPipelineRuntime(sec);
AlertPublisherContext alertPublisherContext = new DefaultAlertPublisherContext(pipelineRuntime, stageSpec, sec.getMessagingContext(), sec.getAdmin());
alertPublisher.initialize(alertPublisherContext);
StageMetrics stageMetrics = new DefaultStageMetrics(sec.getMetrics(), stageSpec.getName());
TrackedIterator<Alert> trackedAlerts = new TrackedIterator<>(((JavaRDD<Alert>) rdd).collect().iterator(), stageMetrics, Constants.Metrics.RECORDS_IN);
alertPublisher.publish(trackedAlerts);
alertPublisher.destroy();
}
use of io.cdap.cdap.etl.api.AlertPublisherContext in project cdap by caskdata.
the class SmartWorkflow method destroy.
@Override
public void destroy() {
WorkflowContext workflowContext = getContext();
PipelineRuntime pipelineRuntime = new PipelineRuntime(workflowContext, workflowMetrics);
// Execute the post actions only if pipeline is not running in preview mode.
if (!workflowContext.getDataTracer(PostAction.PLUGIN_TYPE).isEnabled()) {
for (Map.Entry<String, PostAction> endingActionEntry : postActions.entrySet()) {
String name = endingActionEntry.getKey();
PostAction action = endingActionEntry.getValue();
StageSpec stageSpec = stageSpecs.get(name);
BatchActionContext context = new WorkflowBackedActionContext(workflowContext, pipelineRuntime, stageSpec);
try {
action.run(context);
} catch (Throwable t) {
LOG.error("Error while running post action {}.", name, t);
}
}
}
Map<String, String> connectorDatasets = GSON.fromJson(workflowContext.getWorkflowSpecification().getProperty(Constants.CONNECTOR_DATASETS), STAGE_DATASET_MAP);
// publish all alerts
for (Map.Entry<String, AlertPublisher> alertPublisherEntry : alertPublishers.entrySet()) {
String stageName = alertPublisherEntry.getKey();
AlertPublisher alertPublisher = alertPublisherEntry.getValue();
FileSet alertConnector = workflowContext.getDataset(connectorDatasets.get(stageName));
try (CloseableIterator<Alert> alerts = new AlertReader(alertConnector)) {
if (!alerts.hasNext()) {
continue;
}
StageMetrics stageMetrics = new DefaultStageMetrics(workflowMetrics, stageName);
StageSpec stageSpec = stageSpecs.get(stageName);
AlertPublisherContext alertContext = new DefaultAlertPublisherContext(pipelineRuntime, stageSpec, workflowContext, workflowContext.getAdmin());
alertPublisher.initialize(alertContext);
TrackedIterator<Alert> trackedIterator = new TrackedIterator<>(alerts, stageMetrics, Constants.Metrics.RECORDS_IN);
alertPublisher.publish(trackedIterator);
} catch (Exception e) {
LOG.warn("Stage {} had errors publishing alerts. Alerts may not have been published.", stageName, e);
} finally {
try {
alertPublisher.destroy();
} catch (Exception e) {
LOG.warn("Error destroying alert publisher for stage {}", stageName, e);
}
}
}
ProgramStatus status = getContext().getState().getStatus();
if (status == ProgramStatus.FAILED) {
WRAPPERLOGGER.error("Pipeline '{}' failed.", getContext().getApplicationSpecification().getName());
} else {
WRAPPERLOGGER.info("Pipeline '{}' {}.", getContext().getApplicationSpecification().getName(), status == ProgramStatus.COMPLETED ? "succeeded" : status.name().toLowerCase());
}
MacroEvaluator macroEvaluator = new DefaultMacroEvaluator(pipelineRuntime.getArguments(), workflowContext.getLogicalStartTime(), workflowContext, workflowContext, workflowContext.getNamespace());
// Get resolved plugin properties
Map<String, Map<String, String>> resolvedProperties = new HashMap<>();
for (StageSpec spec : stageSpecs.values()) {
String stageName = spec.getName();
resolvedProperties.put(stageName, workflowContext.getPluginProperties(stageName, macroEvaluator).getProperties());
}
// Add resolved plugin properties to workflow token as a JSON String
workflowContext.getToken().put(RESOLVED_PLUGIN_PROPERTIES_MAP, GSON.toJson(resolvedProperties));
// record only if the Workflow is successful
if (status != ProgramStatus.COMPLETED) {
return;
}
// Collect field operations from each phase
WorkflowToken token = workflowContext.getToken();
List<NodeValue> allNodeValues = token.getAll(Constants.FIELD_OPERATION_KEY_IN_WORKFLOW_TOKEN);
if (allNodeValues.isEmpty()) {
// no field lineage recorded by any stage
return;
}
Map<String, List<FieldOperation>> allStageOperations = new HashMap<>();
for (StageSpec stageSpec : stageSpecs.values()) {
allStageOperations.put(stageSpec.getName(), new ArrayList<>());
}
for (NodeValue nodeValue : allNodeValues) {
Map<String, List<FieldOperation>> stageOperations = GSON.fromJson(nodeValue.getValue().toString(), STAGE_OPERATIONS_MAP);
for (Map.Entry<String, List<FieldOperation>> entry : stageOperations.entrySet()) {
// ignore them
if (allStageOperations.containsKey(entry.getKey())) {
allStageOperations.get(entry.getKey()).addAll(entry.getValue());
}
}
}
FieldLineageProcessor processor = new FieldLineageProcessor(spec);
Set<Operation> processedOperations = processor.validateAndConvert(allStageOperations);
if (!processedOperations.isEmpty()) {
workflowContext.record(processedOperations);
}
}
use of io.cdap.cdap.etl.api.AlertPublisherContext in project cdap by caskdata.
the class StreamingAlertPublishFunction method call.
@Override
public void call(JavaRDD<Alert> data, Time batchTime) throws Exception {
MacroEvaluator evaluator = new DefaultMacroEvaluator(new BasicArguments(sec), batchTime.milliseconds(), sec.getSecureStore(), sec.getServiceDiscoverer(), sec.getNamespace());
PluginContext pluginContext = new SparkPipelinePluginContext(sec.getPluginContext(), sec.getMetrics(), stageSpec.isStageLoggingEnabled(), stageSpec.isProcessTimingEnabled());
String stageName = stageSpec.getName();
AlertPublisher alertPublisher = pluginContext.newPluginInstance(stageName, evaluator);
PipelineRuntime pipelineRuntime = new SparkPipelineRuntime(sec, batchTime.milliseconds());
AlertPublisherContext alertPublisherContext = new DefaultAlertPublisherContext(pipelineRuntime, stageSpec, sec.getMessagingContext(), sec.getAdmin());
alertPublisher.initialize(alertPublisherContext);
StageMetrics stageMetrics = new DefaultStageMetrics(sec.getMetrics(), stageName);
TrackedIterator<Alert> trackedAlerts = new TrackedIterator<>(data.collect().iterator(), stageMetrics, Constants.Metrics.RECORDS_IN);
alertPublisher.publish(trackedAlerts);
alertPublisher.destroy();
}
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