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7.1 KiB
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!