dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

dbt is the T in ELT. Organize, cleanse, denormalize, filter, rename, and pre-aggregate the raw data in your warehouse so that it's ready for analysis.

Apache Doris

This repo contains the base code to help you start to build out your dbt-doris adapter plugin, for more information on how to build out the adapter please follow the docs

Note this README is meant to be replaced with what information would be required to use your adpater once your at a point todo so.

Note

Adapter Scaffold default Versioning

This adapter plugin follows semantic versioning. The first version of this plugin is v0.1.0, in order to be compatible with dbt Core v1.3.0.

Getting Started

Setting up Locally

• run pip install -r dev-requirements.txt.

• cd directory into the dbt-core you'd like to be testing against and run make dev.

  Connect to Github

• run git init.
• Connect your lcoal code to a Github repo.

Join the dbt Community

• Be part of the conversation in the dbt Community Slack
• If one doesn't exist feel free to request a #db-doris channel be made in the #channel-requests on dbt community slack channel.
• Read more on the dbt Community Discourse

Reporting bugs and contributing code

• Want to report a bug or request a feature? Let us know on Slack, or open an issue
• Want to help us build dbt? Check out the Contributing Guide

Code of Conduct

Everyone interacting in the dbt project's codebases, issue trackers, chat rooms, and mailing lists is expected to follow the dbt Code of Conduct.# dbt-doris