use of co.cask.cdap.etl.api.realtime.RealtimeSink in project cdap by caskdata.
the class ETLWorker method destroy.
@Override
public void destroy() {
Destroyables.destroyQuietly(source);
Destroyables.destroyQuietly(transformExecutor);
for (RealtimeSink sink : sinks.values()) {
Destroyables.destroyQuietly(sink);
}
}
use of co.cask.cdap.etl.api.realtime.RealtimeSink in project cdap by caskdata.
the class ETLWorker method initializeSinks.
@SuppressWarnings("unchecked")
private void initializeSinks(WorkerContext context, Map<String, TransformDetail> transformationMap, PipelinePhase pipeline) throws Exception {
Set<StageInfo> sinkInfos = pipeline.getStagesOfType(RealtimeSink.PLUGIN_TYPE);
sinks = new HashMap<>(sinkInfos.size());
for (StageInfo sinkInfo : sinkInfos) {
String sinkName = sinkInfo.getName();
RealtimeSink sink = context.newPluginInstance(sinkName);
sink = new LoggedRealtimeSink(sinkName, sink);
WorkerRealtimeContext sinkContext = new WorkerRealtimeContext(context, metrics, new TxLookupProvider(context), sinkInfo);
LOG.debug("Sink Class : {}", sink.getClass().getName());
sink.initialize(sinkContext);
sink = new TrackedRealtimeSink(sink, new DefaultStageMetrics(metrics, sinkName));
Transformation identityTransformation = new Transformation() {
@Override
public void transform(Object input, Emitter emitter) throws Exception {
emitter.emit(input);
}
};
// we use identity transformation to simplify executing transformation in pipeline (similar to ETLMapreduce),
// since we want to emit metrics during write to sink and not during this transformation, we use NoOpMetrics.
TrackedTransform trackedTransform = new TrackedTransform(identityTransformation, new DefaultStageMetrics(metrics, sinkName), TrackedTransform.RECORDS_IN, null, context.getDataTracer(sinkName));
transformationMap.put(sinkInfo.getName(), new TransformDetail(trackedTransform, new HashSet<String>()));
sinks.put(sinkInfo.getName(), sink);
}
}
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