This cookbook contains a series of use cases (referred to in the Looker cookbooks as "recipes") for applying DRY (don't repeat yourself) principles to your LookML development, which can help you in the following areas:
- Reduce duplicated code: Make your projects more manageable and less error-prone by writing DRY LookML code that is easier to understand, modify, and maintain.
- Create reusable values and logic: Define values that can be used throughout your projects so that you only have to update them in one place if there is a change.
- Simplify complex logic: Break code down into smaller, reusable parts.
- Improve the organization and readability of your models and projects: Make code easier for other LookML developers to read, understand, and modify LookML.
Whether you are new to LookML or an experienced LookML developer, this cookbook provides you with recipes and techniques that will help you write clean and effective code now that will save you time and effort in the future.
Recipes and applications
All the examples in this cookbook are written for LookML developers and require permissions to develop LookML.
|Defining LookML fields in a single location||
Define LookML fields once with
|Defining sets in a single location||Create sets to contain any number of dimensions, measures, or filter fields from the current view or from other views. Reuse sets of common fields for drilling into data and for including or omitting fields from Explores.|
|Defining reusable measures for complex calculations||Create intermediate fields to reuse calculations in multiple measures to make complex calculations more readable and easier to maintain.|
|Defining a string once to use throughout your LookML project||
Define and maintain reusable string values such as names, numbers, or formatting strings in one place by defining LookML constants. Use the
|Customizing a single base view for multiple use cases||LookML refinements allow you to make changes to existing views and Explores without having to edit the original LookML code. You can use refinements to tailor a single view for multiple use cases, such as to meet the needs of multiple teams. This recipe requires more advanced knowledge of LookML.|