7.1 KiB

Athena

For context on getting started with ingestion, check out our metadata ingestion guide.

Setup

To install this plugin, run pip install 'acryl-datahub[athena]'.

Athena source only works with python 3.7+.

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
Capability Status Details
Platform Instance ✔️ link

Quickstart recipe

Check out the following recipe to get started with ingestion! See below for full configuration options.

For general pointers on writing and running a recipe, see our main recipe guide.

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 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.
See https://docs.aws.amazon.com/athena/latest/ug/querying.html.
work_group Name of Athena workgroup.
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.
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.
include_views False Whether views 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!