The CData Python Connector for MongoDB supports joins of a nested array with its parent document and joins of multiple collections.

Joining Nested Structures

The connector expects the left part of the join is the array document you want to flatten vertically. This type of query is supported through the MongoDB API.

For example, consider the following query from MongoDB's restaurants collection:

SELECT [restaurants].[restaurant_id], [restaurants].name, [restaurants.grades].* 
FROM [restaurants.grades]
JOIN [restaurants] 
WHERE [restaurants].name = 'Morris Park Bake Shop'

Joining Multiple Collections

You can join multiple collections just like you would join tables in a relational database. The following examples use the restaurants and zips collections available in the MongoDB 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