PostgreSQL Data Accelerator

To use PostgreSQL as Data Accelerator, specify postgres as the engine for acceleration.

datasets:
  - from: spiceai:path.to.my_dataset
    name: my_dataset
    acceleration:
      engine: postgres

Configuration

The connection to PostgreSQL can be configured by providing the following params:

• pg_host: The hostname of the PostgreSQL server.
• pg_port: The port of the PostgreSQL server.
• pg_db: The name of the database to connect to.
• pg_user: The username to connect with.
• pg_pass_key: The secret key containing the password to connect with.
• pg_pass: The plain-text password to connect with, ignored if pg_pass_key is provided.

Configuration params are provided either in the top level dataset for a dataset source and federated SQL query, or in the acceleration section for a data store.

datasets:
  - from: spiceai:path.to.my_dataset
    name: my_dataset
    acceleration:
      engine: postgres
      params:
        pg_host: localhost
        pg_port: 5432
        pg_db: my_database
        pg_user: my_user
        pg_pass_key: my_secret

Additionally, an engine_secret may be provided when configuring a PostgreSQL data store to allow for using a different secret store to specify the password for a dataset using PostgreSQL as both the data source and data store.

datasets:
  - from: spiceai:path.to.my_dataset
    name: my_dataset
    params:
      pg_host: localhost
      pg_port: 5432
      pg_db: data_store
      pg_user: my_user
      pg_pass_key: my_secret
    acceleration:
      engine: postgres
      engine_secret: pg_backend
      params:
        pg_host: localhost
        pg_port: 5433
        pg_db: data_store
        pg_user: my_user
        pg_pass_key: my_secret