Azure EventHub
Pipeline Concepts
Section titled βPipeline ConceptsβBefore setting up the Pipeline, learn about Pipeline concepts here
Step by Step Guide
Section titled βStep by Step GuideβSTEP-1: Configure EventHub Connection
Section titled βSTEP-1: Configure EventHub ConnectionβTo learn about Connection, refer here
- Log into Sprinkle application
- Navigate to Datasources -> Connections Tab -> New Connection ->
- Select Azure Eventhub
- Provide all the mandatory details
- Name: Name to identify this connection
- EventHub Connection String: Provide in the format -> DefaultEndpointsProtocol=https;AccountName=XXXX;AccountKey=XXXXXXXXXXXXX;EndpointSuffix=core.windows.net
- Test Connection
- Create
STEP-2: Configure EventHub Pipeline
Section titled βSTEP-2: Configure EventHub PipelineβTo learn about Pipeline, refer here
- Navigate to Ingest -> Pipeline Tab -> Add ->
- Select Azure Eventhub
- Provide the name -> Create
- Connection Tab:
- From the drop-down, select the name of connection created in STEP-2
- Update
STEP-3: Create Dataset
Section titled βSTEP-3: Create DatasetβDatasets Tab: To learn about Dataset, refer here. Add Dataset for each table that you want to replicate, providing following details
- Stream Name (Required)
- Automatic Schema (Required):
- Yes: Schema is automatically discovered by Sprinkle (Recommended)
- Flatten Level (Required): Select from One Level or Multi Level.In one level, flattening will not be applied on complex type. They will be stored as string. In multi level, flattening will be applied in complex level till they become simple type.
- No: Schema needs to be provided
- Warehouse Schema: Provide the row schema
- Yes: Schema is automatically discovered by Sprinkle (Recommended)
- Destination Schema (Required) : Data warehouse schema where the table will be ingested into
- Destination Table name (Required) : It is the table name to be created on the warehouse. If not given, sprinkle will create like ds_<Pipelinename>_<tablename>
- Destination Create Table Clause: Provide additional clauses to warehouse-create table queries such as clustering, partitioning, and more, useful for optimizing DML statements. Learn more on how to use this field.
- Create
STEP-4: Run and schedule Ingestion
Section titled βSTEP-4: Run and schedule IngestionβIn the Ingestion Jobs tab:
- Trigger the Job, using Run button
- To schedule, enable Auto-Run. Change the frequency if needed