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# Athena
For context on getting started with ingestion, check out our [metadata ingestion guide](../README.md).
## Setup
To install this plugin, run `pip install 'acryl-datahub[athena]'`.
## Capabilities
This plugin extracts the following:
- Metadata for databases, schemas, and tables
- Column types associated with each table
- Table, row, and column statistics via optional [SQL profiling](./sql_profiles.md)
| Capability | Status | Details |
| -----------| ------ | ---- |
| Platform Instance | ✔️ | [link](../../docs/platform-instances.md) |
## Quickstart recipe
Check out the following recipe to get started with ingestion! See [below](#config-details) for full configuration options.
For general pointers on writing and running a recipe, see our [main recipe guide](../README.md#recipes).
```yml
source:
type: athena
config:
# Coordinates
aws_region: my_aws_region_name
work_group: my_work_group
# Credentials
username: my_aws_access_key_id
password: my_aws_secret_access_key
database: my_database
# Options
s3_staging_dir: "s3://<bucket-name>/<folder>/"
sink:
# sink configs
```
## Config details
Note that a `.` is used to denote nested fields in the YAML recipe.
As a SQL-based service, the Athena integration is also supported by our SQL profiler. See [here](./sql_profiles.md) for more details on configuration.
| Field | Required | Default | Description |
| --------------------------- | -------- | ------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --- |
| `username` | | Autodetected | Username credential. If not specified, detected with boto3 rules. See https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html |
| `password` | | Autodetected | Same detection scheme as `username` |
| `database` | | Autodetected | |
| `aws_region` | ✅ | | AWS region code. |
| `s3_staging_dir` | ✅ | | Of format `"s3://<bucket-name>/prefix/"`. The `s3_staging_dir` parameter is needed because Athena always writes query results to S3. <br />See https://docs.aws.amazon.com/athena/latest/ug/querying.html. |
| `work_group` | ✅ | | Name of Athena workgroup. <br />See https://docs.aws.amazon.com/athena/latest/ug/manage-queries-control-costs-with-workgroups.html. |
| `env` | | `"PROD"` | Environment to use in namespace when constructing URNs. |
| `platform_instance` | | None | The Platform instance to use while constructing URNs. |
| `options.<option>` | | | Any options specified here will be passed to SQLAlchemy's `create_engine` as kwargs.<br />See https://docs.sqlalchemy.org/en/14/core/engines.html#sqlalchemy.create_engine for details. |
| `table_pattern.allow` | | | List of regex patterns for tables to include in ingestion. |
| `table_pattern.deny` | | | List of regex patterns for tables to exclude from ingestion. |
| `table_pattern.ignoreCase` | | `True` | Whether regex matching should ignore case or not |
| `schema_pattern.allow` | | | List of regex patterns for schemas to include in ingestion. |
| `schema_pattern.deny` | | | List of regex patterns for schemas to exclude from ingestion. |
| `schema_pattern.ignoreCase` | | `True` | Whether regex matching should ignore case or not | |
| `view_pattern.allow` | | | List of regex patterns for views to include in ingestion. |
| `view_pattern.deny` | | | List of regex patterns for views to exclude from ingestion. |
| `view_pattern.ignoreCase` | | `True` | Whether regex matching should ignore case or not | |
| `include_tables` | | `True` | Whether tables should be ingested. |
## Compatibility
Coming soon!
## Questions
If you've got any questions on configuring this source, feel free to ping us on [our Slack](https://slack.datahubproject.io/)!