The CData BizTalk Adapter for Cosmos DB supports joins of a nested array with its parent document and joins of multiple collections.
Joining Nested Structures
The adapter expects the left part of the join is the array document you want to flatten vertically. Disable SupportEnhancedSQL to join nested Cosmos DB documents. This type of query is supported through the Cosmos DB API.
For example, consider the following query from Cosmos DB's restaurants collection:
SELECT [restaurants].[restaurant_id], [restaurants].name, [restaurants.grades].* FROM [restaurants.grades] JOIN [restaurants] WHERE [restaurants].name = 'Morris Park Bake Shop'See Vertical Flattening for more details.
Joining Multiple Collections
You can join multiple collections just like you would join tables in a relational database. Set SupportEnhancedSQL to True to execute these types of joins. The following examples use the restaurants and zips collections available in the Cosmos DB documentation.
The query below returns the restaurant records that exist, if any, for each ZIP code:
SELECT z.city, r.name, r.borough, r.cuisine, r.[address.zipcode] FROM zips z LEFT JOIN restaurants r ON r.[address.zipcode] = z._id
The query below returns records from both tables that match the join condition:
SELECT z.city, r.name, r.borough, r.cuisine, r.[address.zipcode] FROM restaurants r INNER JOIN zips z ON r.[address.zipcode] = z._id