dbt-athena

• Supports dbt version 1.0.*
• Supports Seeds
• Correctly detects views and their columns
• Support incremental models
• Support two incremental update strategies: insert_overwrite and append
• Does not support the use of unique_key
• Only supports Athena engine 2
• Changing Athena Engine Versions

Installation

• pip install dbt-athena-adapter
• Or pip install git+https://github.com/Tomme/dbt-athena.git

Prerequisites

To start, you will need an S3 bucket, for instance my-staging-bucket and an Athena database:

CREATE DATABASE IF NOT EXISTS analytics_dev
COMMENT 'Analytics models generated by dbt (development)'
LOCATION 's3://my-staging-bucket/'
WITH DBPROPERTIES ('creator'='Foo Bar', 'email'='foo@bar.com');

Notes: - Take note of your AWS region code (e.g. us-west-2 or eu-west-2, etc.). - You can also use AWS Glue to create and manage Athena databases.

Credentials

This plugin does not accept any credentials directly. Instead, credentials are determined automatically based on aws cli/boto3 conventions and stored login info. You can configure the AWS profile name to use via aws_profile_name. Checkout DBT profile configuration below for details.

Configuring your profile

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

Option	Description	Required?	Example
s3_staging_dir	S3 location to store Athena query results and metadata	Required	s3://bucket/dbt/
region_name	AWS region of your Athena instance	Required	eu-west-1
schema	Specify the schema (Athena database) to build models into (lowercase only)	Required	dbt
database	Specify the database (Data catalog) to build models into (lowercase only)	Required	awsdatacatalog
poll_interval	Interval in seconds to use for polling the status of query results in Athena	Optional	5
aws_profile_name	Profile to use from your AWS shared credentials file.	Optional	my-profile
work_group	Identifier of Athena workgroup	Optional	my-custom-workgroup
num_retries	Number of times to retry a failing query	Optional	3

Example profiles.yml entry:

athena:
  target: dev
  outputs:
    dev:
      type: athena
      s3_staging_dir: s3://athena-query-results/dbt/
      region_name: eu-west-1
      schema: dbt
      database: awsdatacatalog
      aws_profile_name: my-profile
      work_group: my-workgroup

Additional information * threads is supported * database and catalog can be used interchangeably

Usage notes

Models

Table Configuration

• external_location (default=none)
• The location where Athena saves your table in Amazon S3
• If none then it will default to {s3_staging_dir}/tables
• If you are using a static value, when your table/partition is recreated underlying data will be cleaned up and overwritten by new data
• partitioned_by (default=none)
• An array list of columns by which the table will be partitioned
• Limited to creation of 100 partitions (currently)
• bucketed_by (default=none)
• An array list of columns to bucket data
• bucket_count (default=none)
• The number of buckets for bucketing your data
• format (default='parquet')
• The data format for the table
• Supports ORC, PARQUET, AVRO, JSON, or TEXTFILE
• write_compression (default=none)
• The compression type to use for any storage format that allows compression to be specified. To see which options are available, check out CREATE TABLE AS
• field_delimiter (default=none)
• Custom field delimiter, for when format is set to TEXTFILE

More information: CREATE TABLE AS

Supported functionality

Support for incremental models: * Support two incremental update strategies with partitioned tables: insert_overwrite and append * Does not support the use of unique_key

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

Known issues

• Quoting is not currently supported
• If you need to quote your sources, escape the quote characters in your source definitions:

```yaml version: 2

sources: - name: my_source tables: - name: first_table identifier: "first table" # Not like that - name: second_table identifier: "\"second table\"" # Like this ```

• Tables, schemas and database should only be lowercase
• Only supports Athena engine 2
• Changing Athena Engine Versions

Running tests

First, install the adapter and its dependencies using make (see Makefile):

make install_deps

Next, configure the environment variables in dev.env to match your Athena development environment. Finally, run the tests using make:

make run_tests

Community

• fishtown-analytics/dbt
• fishtown-analytics/dbt-presto
• Dandandan/dbt-athena
• laughingman7743/PyAthena