airbyte/docs/integrations/destinations/databend.md

Databend

This page guides you through the process of setting up the Databend destination connector.

Features

Feature	Supported?(Yes/No)	Notes
Full Refresh Sync	Yes
Incremental - Append Sync	Yes

Output Schema

Each stream will be output into its own table in Databend. Each table will contain 3 columns:

• _airbyte_ab_id: a uuid assigned by Airbyte to each event that is processed. The column type in Databend is VARCHAR.
• _airbyte_emitted_at: a timestamp representing when the event was pulled from the data source. The column type in Databend is TIMESTAMP.
• _airbyte_data: a json blob representing with the event data. The column type in Databend is VARVHAR.

Getting Started (Airbyte Cloud)

Coming soon...

Getting Started (Airbyte Open-Source)

You can follow the Connecting to a Warehouse docs to get the user, password, host etc.

Or you can create such a user by running:

GRANT CREATE ON * TO airbyte_user;

Make sure the Databend user with the following permissions:

• can create tables and write rows.
• can create databases e.g:

You can also use a pre-existing user but we highly recommend creating a dedicated user for Airbyte.

Target Database

You will need to choose an existing database or create a new database that will be used to store synced data from Airbyte.

Setup the Databend Destination in Airbyte

You should now have all the requirements needed to configure Databend as a destination in the UI. You'll need the following information to configure the Databend destination:

• Host
• Port
• Username
• Password
• Database

Compatibility

If your databend version >= v0.9.0 or later, you need to use databend-sqlalchemy version >= v0.1.0. And the Databend Cloud will only support databend version > 0.9.0.

Changelog

Version	Date	Pull Request	Subject
0.1.2	2023-02-11	22855	Fix compatibility issue with databend-query 0.9
0.1.1	2022-01-09	21182	Remove protocol option and enforce HTTPS
0.1.0	2022-01-09	20909	Destination Databend