ReOrc docs
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  • About ReOrc
  • Set up and deployment
    • Set up organization
    • Install ReOrc agent
  • Getting started
    • 1. Set up a connection
      • BigQuery setup
    • 2. Create a project
    • 3. Create data models
    • 4. Build models in console
    • 5. Set up a pipeline
  • Connections
    • Destinations
      • Google Service Account
    • Integrations
      • Slack
  • Data modeling
    • Overview
    • Sources
    • Models
      • Model schema
      • Model configurations
    • Jinja templating
      • Variables
      • Macros
    • Materialization
    • Data lineage
    • Data tests
      • Built-in generic tests
      • Custom generic tests
      • Singular tests
  • Semantic modeling
    • Overview
    • Data Modelling vs Semantic Layer
    • Cube
      • Custom Dimension
      • Custom Measure
        • Aggregation Function
        • SQL functions and operators
        • Calculating Period-over-Period Changes
      • Relationship
    • View
      • Primary Dimension
      • Add Shared Fields
    • Shared Fields
    • Integration
      • Guandata Integration
      • Looker Studio
  • Pipeline
    • Overview
    • Modeling pipeline
    • Advanced pipeline
    • Job
  • Health tracking
    • Pipeline health
    • Data quality
  • Data governance
    • Data protection
  • Asset management
    • Console
    • Metadata
    • Version history
    • Packages and dependencies
  • DATA SERVICE
    • Overview
    • Create & edit Data Service
    • Data preview & download
    • Data sharing API
    • Access control
  • AI-powered
    • Rein AI Copilot
  • Settings
    • Organization settings
    • Project settings
    • Profile settings
    • Roles and permissions
  • Platform Specific
    • Doris/SelectDB
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On this page
  • Create a project connection
  • Set analytics database
  1. Connections

Project connections

Last updated 7 months ago

Project connections are data connections linked to a specific project in Recurve. For each project connection, you can define the connection type and specify separate target databases for development and production environments. This setup provides smooth transitions when promoting changes from development to production.

While a project can have multiple project connections, only one connection can be set as the primary database at a time. This primary database, also called the analytics database, is optimized for reading and aggregating data in large volumes. All models in your project will be executed and built under the analytics database.

This guide shows you how to create a project connection and set the analytics database.

Create a project connection

Follow these steps:

  1. Open your project and go to Settings > Data connections.

  2. In the Define connection section, click + Add connection.

  3. Provide the connection name and the connection type for development and production environments.

    Note that the connection type must be the same for both development and production environments.

  4. Click Create.

Set analytics database

To set connection as the analytics database, follow these steps:

  1. Open your project and go to Settings > Data connections.

  2. Click on the option button of the desired connection.

  3. In the opened pop-up, click Confirm.