What relationship types are supported by Drizzle Cube Joins?

The skill supports four primary types: belongsTo (many-to-one), hasOne (one-to-one), hasMany (one-to-many), and belongsToMany (many-to-many via junction tables).

Are security filters applied to joined tables automatically?

Yes, Drizzle Cube automatically applies the defined security context to all base tables, join conditions, and junction tables involved in a query.

Can I define joins using multiple columns?

Yes, you can define multi-column joins by providing an array of source and target column pairs within the 'on' property of the join configuration.

How does Drizzle Cube handle many-to-many relationships?

It uses the belongsToMany relationship type combined with a 'through' configuration that specifies the junction table and mapping keys for both source and target cubes.

How do I avoid circular dependencies when joining cubes?

You should use a lazy reference (an arrow function) when defining the targetCube property, which allows the cubes to reference each other without causing initialization errors.

Drizzle Cube Joins

Name: Drizzle Cube Joins
Author: cliftonc

bycliftonc

Database Management

Configures and manages complex relational joins between data cubes to enable seamless, secure cross-cube querying in Drizzle Cube.

About

Drizzle Cube Joins provides a comprehensive framework for defining relationships between data cubes, allowing developers to build robust semantic layers with automated SQL join generation. It supports standard relational patterns including belongsTo, hasOne, and hasMany, alongside complex belongsToMany relationships utilizing junction tables. By standardizing how cubes connect, this skill ensures consistent data retrieval, automatic pre-aggregation across one-to-many boundaries, and strict enforcement of security contexts across all joined tables, making it indispensable for building scalable analytical applications.

Key Features

Automatically propagates security contexts to all base, joined, and junction tables
0 GitHub stars
Supports belongsTo, hasOne, hasMany, and belongsToMany relationship patterns
Automates complex SQL JOIN generation for cross-cube analytical queries
Enables many-to-many relationships via junction tables with 'through' configuration
Supports multi-column composite key joins for complex database schemas

Use Cases

Implementing many-to-many relationships for project management and time-tracking systems
Linking transactional data to dimensional attributes for business intelligence reporting
Aggregating metrics across multiple data sources while maintaining multi-tenant security isolation

About

Key Features

Automatically propagates security contexts to all base, joined, and junction tables
0 GitHub stars
Supports belongsTo, hasOne, hasMany, and belongsToMany relationship patterns
Automates complex SQL JOIN generation for cross-cube analytical queries
Enables many-to-many relationships via junction tables with 'through' configuration
Supports multi-column composite key joins for complex database schemas

Use Cases

Implementing many-to-many relationships for project management and time-tracking systems
Linking transactional data to dimensional attributes for business intelligence reporting
Aggregating metrics across multiple data sources while maintaining multi-tenant security isolation