harlequin-athena 0.1.2

A Harlequin adapter for Amazon Athena.

harlequin-athena

This repo provides the Harlequin adapter for Amazon Athena.

Installation

harlequin-athena depends on harlequin, so installing this package will also install Harlequin.

Using pip

To install this adapter into an activated virtual environment:

pip install harlequin-athena

Using poetry

poetry add harlequin-athena

Using pipx

If you do not already have Harlequin installed:

pip install harlequin-athena

If you would like to add the Athena adapter to an existing Harlequin installation:

pipx inject harlequin harlequin-athena

As an Extra

Alternatively, you can install Harlequin with the athena extra:

pip install harlequin[athena]

poetry add harlequin[athena]

pipx install harlequin[athena]

Usage and Configuration

For a minimum connection you are going to need:

• s3_staging_dir (required): S3 bucket path for query results
• region (optional, default: us-east-1): AWS region

harlequin -a athena -s s3://my-bucket/athena-results/ -r us-east-1

Environment Variables

Adapter-specific options can be configured via environment variables. Environment variables are used as fallbacks when CLI options are not provided. The environment variable names follow the pattern HARLEQUIN_ATHENA_<OPTION_NAME> (uppercase with underscores):

• HARLEQUIN_ATHENA_S3_STAGING_DIR: S3 staging directory (required)
• HARLEQUIN_ATHENA_WORK_GROUP: Athena work group
• HARLEQUIN_ATHENA_SCHEMA: Default schema (database)
• HARLEQUIN_ATHENA_CATALOG: Catalog name
• HARLEQUIN_ATHENA_POLL_INTERVAL: Polling interval in seconds

Note: AWS credentials and region can be configured using standard AWS SDK environment variables (automatically handled by boto3/pyathena):

• AWS_ACCESS_KEY_ID: AWS access key ID
• AWS_SECRET_ACCESS_KEY: AWS secret access key
• AWS_SESSION_TOKEN: AWS session token (for temporary credentials)
• AWS_REGION or AWS_DEFAULT_REGION: AWS region
• AWS_PROFILE: AWS profile name

Example using environment variables:

# Standard AWS SDK environment variables
export AWS_REGION="us-east-1"
export AWS_PROFILE="my-profile"

# Adapter-specific environment variables
export HARLEQUIN_ATHENA_S3_STAGING_DIR="s3://my-bucket/athena-results/"
export HARLEQUIN_ATHENA_WORK_GROUP="my-workgroup"

harlequin -a athena

AWS Credentials

The adapter supports multiple methods for AWS authentication:

1. Default credentials (environment variables, ~/.aws/credentials, or IAM role):

   harlequin -a athena -s s3://my-bucket/athena-results/
   

2. AWS Profile:

   harlequin -a athena -s s3://my-bucket/athena-results/ --profile my-profile
   

3. Explicit credentials:

   harlequin -a athena -s s3://my-bucket/athena-results/ \
     --aws-access-key-id AKIA... \
     --aws-secret-access-key ...
   

Additional Options

• --work-group or -w: Athena work group to use
• --schema or -d or --database: Default schema (database) to use
• --catalog or -c: Catalog name (default: AwsDataCatalog)
• --poll-interval: Polling interval in seconds for checking query status (default: 0.5, lower = faster polling)

Example with all options:

harlequin -a athena \
  -s s3://my-bucket/athena-results/ \
  -r us-east-1 \
  -w my-workgroup \
  -d my_database \
  -c AwsDataCatalog

Many more options are available; to see the full list, run:

harlequin --help

For more information, see the Harlequin Docs.

Development

Setup

git clone https://github.com/yourusername/harlequin-athena.git
cd harlequin-athena
poetry install

Running Tests

poetry run pytest

Note: Tests require AWS credentials and an Athena setup. You may want to use mocking for CI/CD.

License

MIT