- Section 1: Basics
- 2: User-friendly language
- 3: Documents, not rows
- 4: Pattern matching with LIKE
- 5: Matching elements in nested arrays with ANY
- 6: Combining multiple conditions with AND
- 7: Querying primary keys
- 8: Quick review
- 9: Pagination with LIMIT and OFFSET
- 10: Filtering grouped data with HAVING
- 11. Review
- 12. Section 2: Joins
- 13. Joins
- 14. Joins
- 15. Exercise
- 16. Exercise
- 17. NEST
- 18. Chaining JOINs
- 19. Example
- 20. Array Comprehensions
- 21. Section 3: DML Statements
- 22. Nest
- 23. Nest
- 24. UNNEST
- 25. Filtering on nested data
- 26. Subquery
- 27. Subquery
- 28. UPDATE
- 29. Case Study I. E-Commerce
- 30. Shopper - Browsing products from page to page
- 31. Shopper - Listing product categories
- 32. Shopper - Browsing and searching for a product
- 33. Shopper - Listing products in a category
- 34. Shopper - Finding the most popular products in a category
- 35. Shopper - Browsing products and sorting results
- 36. Shopper - Shopping at a one-day sale
- 37. Shopper - Listing the top 10 best selling products
- 38. Shopper - Listing the highest rated products
- 39. Merchant - Preparing a purchase order
- 40. Merchant - Finding the most valued shoppers
- 41. Merchant - Reporting customers by region
- 42. Merchant - Reporting the active monthly customers
- 43. Merchant - Identifying non-performing products
- 44. Merchant - Generating the month-over-month sales report
- 45. Merchant - Big ticket orders
- 46. Case Study II . Social Game
- 47. Assembling and loading user profiles
- 48. Listing messages sent by a user
- 49. Generating scoreboards
JOIN, NEST, and UNNEST can be chained and combined, in any order, as
many times as desired.
In the example on the right, we perform an UNNEST to generate a complete order that contains the order Ids along with the user details. This is then JOINed with the orders from the users_with_orders bucket.
In the example on the right, we perform an UNNEST to generate a complete order that contains the order Ids along with the user details. This is then JOINed with the orders from the users_with_orders bucket.
To run this example, click the button in the top right corner of the code editor.