JAVA API :
interface PreviewContext { PreviewEmitter getEmitter(String identifier); }
interface PreviewEmitter { void emit(T record); Iterator<T> getEmittedRecords(); }
Implementation:
SDK:
Preview Execution Isolation:
Requirement:
- We want the program runs we execute, datasets created during preview for preview purpose, logs and metrics emitted during preview to be isolated from the regular Standalone execution which is used to publish and run the pipeline.
- In Preview, pipeline could have lookup datasets in a transform which reads from the datasets in Standalone. so we want a way to share datasets in preview with datasets in standalone.
- In Preview, we want to skip writing meta data and lineage information as they are unnecessary.
Preview Injector and Services Run in Preview:
Service | Standalone (Yes/No) | Preview (Yes/No) |
---|---|---|
userInterfaceService | Yes | No |
trackerAppCreationService | Yes | No |
router | Yes | No |
streamService | Yes | Yes |
exploreExecutorService | Yes | No |
exploreClient | Yes | No |
metadataService | Yes | No |
serviceStore (set/get service instances) | Yes | No |
appFabricServer | Yes | No |
previewServer | No | Yes |
datasetService | Yes | Yes |
metricsQueryService | Yes | Yes |
txService | Yes | Yes |
externalAuthenticationServer (if security enabled) | Yes | Yes |
logAppenderInitializer | Yes | Yes |
kafkaClient(if audit enabled) | Yes | No |
zkClient (if audit enabled) | Yes | No |
authorizerInstantiator (started by default) | Yes | Yes? |
PreviewServer Services:
This is a subset of services started in app-fabric server.
Services | AppFabricServer | PreviewServer |
---|---|---|
notificationService | Yes | No |
schedulerService | Yes | No |
applicationLifecycleService | Yes | Yes |
systemArtifactLoader | Yes | Yes |
programRuntimeService | Yes | Yes |
streamCoordinatorClient | Yes | Yes |
programLifecycleService | Yes | Yes |
pluginService | Yes | Yes |
httpService | Yes | Yes (but only with preview handler). |
HybridDatasetFramework
Requirements:
1) Pipeline want's to read from a dataset source (or) pipeline wants to write to a dataset sink (or) transform uses a lookup table. These datasets are in CDAP Standalone space.
2) Pipeline run's records, Pipeline run metrics, program status, etc are stored in System datasets in Preview space.
3) Error dataset : Its not clear if using error dataset should cause creating an error dataset in CDAP standalone space. I feel it might not be required to created in Standalone space. In which case if its a dataset then it's the only user level dataset that has to be created in Preview space, we can say we would have an in-memory implementation for maintaining error records.
Assumptions :
1) All Datasets in System Namespace will be using the "PreviewDatasetFramework"
2) All Datasets in User's Namespaces will be using the "StandaloneDatasetFramework"
... snippet @Nullable @Override public <T extends Dataset> T getDataset(Id.DatasetInstance datasetInstanceId, @Nullable Map<String, String> arguments, @Nullable ClassLoader classLoader) throws DatasetManagementException, IOException { if (datasetInstanceId.getNamespace().equals(Id.Namespace.SYSTEM)) { return previewDatasetFramework.getDataset(datasetInstanceId, arguments, classLoader); } else { return standaloneDatasetFramework.getDataset(datasetInstanceId, arguments, classLoader); } }