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SQLite ​

SQLite is a C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine.

ingestr supports SQLite as a source.

Bruin supports SQLite as a source for Ingestr assets, and you can use it to ingest data from SQLite into your data warehouse.

In order to set up SQLite connection, you need to add a configuration item in the .bruin.yml file and in asset file.

Follow the steps below to correctly set up SQLite as a data source and run ingestion.

Step 1: Add a connection to .bruin.yml file ​

To connect to SQLite, you need to add a configuration item to the connections section of the .bruin.yml file. This configuration must comply with the following schema:

yaml
    connections:
      sqlite:
        - name: "sqlite"
          path: "/Users/test/temporary/my_database.db"
  • name: The name to identify this SQLite connection
  • path: The path to the SQLite database file

Step 2: Create an asset file for data ingestion ​

To ingest data from SQLite, you need to create an asset configuration file. This file defines the data flow from the source to the destination. Create a YAML file (e.g., sqlite_ingestion.yml) inside the assets folder and add the following content:

yaml
name: public.sqlite
type: ingestr
connection: neon

parameters:
  source_connection: sqlite
  source_table: 'users'

  destination: postgres
  • name: The name of the asset.
  • type: Specifies the type of the asset. Set this to ingestr to use the ingestr data pipeline.
  • connection: This is the destination connection, which defines where the data should be stored. For example: postgres indicates that the ingested data will be stored in a Postgres database.
  • source_connection: The name of the SQLite connection defined in .bruin.yml.
  • source_table: The name of the data table in SQLite that you want to ingest.
  • destination: The name of the destination connection.

Step 3: Run asset to ingest data ​

bruin run assets/sqlite_ingestion.yml

As a result of this command, Bruin will ingest data from the given SQLite table into your Postgres database.

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