You have an Apache Spark pool in Azure Synapse Analytics that runs the following Python...

New and updated orders will be added to contoso-erp.orders:  Yes

The code performs bulk data ingestion from contoso-app:  No

Both contoso-app and contoso-erp have Analytics store enabled:  Yes

The code uses the spark.readStream method to read data from a container named orders in a database named contoso-app. The data is then filtered by a condition and written to another container named orders in a database named contoso-erp using the spark.writeStream method.  The write mode is set to “append”, which means that new and updated orders will be added to the destination container 1 .

The code does not perform bulk data ingestion from contoso-app, but rather stream processing. Bulk data ingestion is a process of loading large amounts of data into a data store in batches.  St ream processing is a process of continuously processing data as it arrives in real-time 2 .

Both contoso-app and contoso-erp have Analytics store enabled, because they are both accessed by Spark pools using the spark.cosmos.oltp method.  This method requires that the containers h ave Analytics store enabled, which is a feature that allows Spa rk pools to query data stored in Azure Cosmos DB containers using SQL APIs 3 .