dbt-athena

Warning: this adapter is work in progress, contributions welcome!

Installation

This plugin can be installed via pip:

$ pip install git+https://github.com/Dandandan/dbt-athena.git

Configuring your profile

A dbt profile can be configured to run against Athena using the following configuration:

Option	Description	Required?	Example
s3_staging_dir	The location where Athena stores meta info	Required	s3://bucket/staging
schema	Specify the schema (athena database) to build models into	Required	dev
database	Data catalog	Required	awsdatacatalog
region_name	Specify in which AWS region it should connect	Required	eu-west-1
threads	How many threads dbt should use	Optional(default=1)	8
max_retry_number	Number for retries for exponential backoff	Optional(default=5)	8
max_retry_delay	Maximum delay for exponential backoff in seconds	Optional(default=100)	8

Example profiles.yml entry:

athena:
  target: athena
  outputs:
    athena:
      type: athena
      database: awsdatacatalog
      schema: dev
      region_name: eu-west-1
      threads: 8
      s3_staging_dir: s3://athena-staging-bucket/

Usage Notes

Supported Functionality

Due to the nature of Athena, not all core dbt functionality is supported. The following features of dbt are not implemented on Athena:

• Archival
• Incremental models

If you are interested in helping to add support for this functionality in dbt on Athena, please open an issue!

Known issues:

• Quoting is not supported

Reporting bugs and contributing code

• Want to report a bug or request a feature? Let us know on Slack, or open an issue.

Code of Conduct

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