- 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. Window Functions
- 29. Window Functions
- 30. UPDATE
- 31. Case Study I. E-Commerce
- 32. Shopper - Browsing products from page to page
- 33. Shopper - Listing product categories
- 34. Shopper - Browsing and searching for a product
- 35. Shopper - Listing products in a category
- 36. Shopper - Finding the most popular products in a category
- 37. Shopper - Browsing products and sorting results
- 38. Shopper - Shopping at a one-day sale
- 39. Shopper - Listing the top 10 best selling products
- 40. Shopper - Listing the highest rated products
- 41. Merchant - Preparing a purchase order
- 42. Merchant - Finding the most valued shoppers
- 43. Merchant - Reporting customers by region
- 44. Merchant - Reporting the active monthly customers
- 45. Merchant - Identifying non-performing products
- 46. Merchant - Generating the month-over-month sales report
- 47. Merchant - Big ticket orders
- 48. Case Study II . Social Game
- 49. Assembling and loading user profiles
- 50. Listing messages sent by a user
- 51. Generating scoreboards
In order for this script to work, you need to create three buckets on the Capella interface.
1. Go to your cluster in Capella.
2. Click on Buckets tab in the view.
3. Click on Create Bucket
4. Fill out the details to create the Bucket
4.1 Enter the name of the Bucket in Bucket Name field (tutorial, ecommerce, jungleville)
4.2 Leave Memory requirements with the default value (100) in Memory field
4.3 Leave the Settings in Default values.
4.4 Click on Create Bucket.
5. The Bucket will get created in a few seconds.
If you want to see it visually, you can check out the animation below.
Now you can run the script in the code window to create the collections, import data and create indexes automatically.
To run this example, click the button in the top right corner of the code editor.