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To be accurate, derived attributes need to be updated every time their derivation sources are updated. This is because “age” is functionally dependent on “birth-date.” By knowing “birth-date” and the date today, you can derive the “age” of the CHILD.ĭerived attributes are those that may be computed from other attributes, such as totals, and therefore you do not need to directly store them. For example, if you included both a “birth-date” and an “age” attribute as non-key attributes in the CHILD entity, you violate third normal form.
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To create a derived table in your Looker project, use the derived_table parameter under a view parameter. Native derived tables and SQL-based derived tables You can then work with the customer_order_summary derived table as if it were any other table in the database. Using either a native derived table or a SQL-based derived table, you can create a new database table named customer_order_summary that includes these metrics. You want to compute some customer-level aggregate metrics, such as how many orders each customer has placed or when each customer placed their first order. In Looker, a derived table is a query whose results are used as if it were an actual table in the database.įor example, you might have a database table called orders that has many columns. Viewing dashboards in the Looker mobile application.Viewing Looks in the Looker mobile application.Navigating to content in the Looker mobile application.Signing in to the Looker mobile application.Installing the Looker mobile application on your mobile device.Enabling the Looker mobile application for your instance.Creating Looker usage reports with System Activity Explores.Designing and configuring a system of access levels.Access control and permission management.Auto-provisioning a new Looker instance.Setting permissions for Looker extensions.Security best practices for embedded analytics.Use embedding, the API, and the extension framework.Templated filters and Liquid parameters.Caching queries and rebuilding PDTs with datagroups.Changing the Explore menu and field picker.Incorporating SQL and referring to LookML objects.Developing a custom visualization for the Looker Marketplace.Developing a custom block for the Looker Marketplace.Configuring project version control settings.Setting up and testing a Git connection.Accessing and editing project information.Managing database functions with SQL Runner.Using SQL Runner to create derived tables.Using SQL Runner to create queries and Explores.Navigating projects with the object browser panel.Converting from user-defined to LookML dashboards.Converting from LookML to user-defined dashboards.Creating and managing LookML dashboards.Adding and editing user-defined dashboard filters.Adding saved content to dashboards (legacy feature).Adding custom formatting to numeric fields.Merging results from different Explores.Configuring alerts for Looker users (Looker admins).Conditionally delivering Looks and Explores.Configuring content deliveries for Looker users (Looker admins).Scheduling deliveries to the Slack integration.Using the Looker Scheduler to Deliver Content.Public sharing, importing, and embedding of Looks.Organizing and managing access to content.Viewing your conditional alert notifications.