Amazon Athena¶

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (S3) using standard SQL. Athena is serverless, so there is no infrastructure to setup or manage, and you pay only for the queries you run. To get started, simply point to your data in S3, define the schema, and start querying using standard SQL.

Prerequisite Tasks¶

To use these operators, you must do a few things:

Create necessary resources using AWS Console or AWS CLI.
Install API libraries via pip.
pip install 'apache-airflow[amazon]'
Detailed information is available Installation of Airflow®
Setup Connection.

Generic Parameters¶

aws_conn_id

Reference to Amazon Web Services Connection ID. If this parameter is set to None then the default boto3 behaviour is used without a connection lookup. Otherwise use the credentials stored in the Connection. Default: aws_default

region_name

AWS Region Name. If this parameter is set to None or omitted then region_name from AWS Connection Extra Parameter will be used. Otherwise use the specified value instead of the connection value. Default: None

verify

Whether or not to verify SSL certificates.

False - Do not validate SSL certificates.
path/to/cert/bundle.pem - A filename of the CA cert bundle to use. You can specify this argument if you want to use a different CA cert bundle than the one used by botocore.

If this parameter is set to None or is omitted then verify from AWS Connection Extra Parameter will be used. Otherwise use the specified value instead of the connection value. Default: None

botocore_config

The provided dictionary is used to construct a botocore.config.Config. This configuration can be used to configure Avoid Throttling exceptions, timeouts, etc.

Example, for more detail about parameters please have a look botocore.config.Config¶

{
    "signature_version": "unsigned",
    "s3": {
        "us_east_1_regional_endpoint": True,
    },
    "retries": {
      "mode": "standard",
      "max_attempts": 10,
    },
    "connect_timeout": 300,
    "read_timeout": 300,
    "tcp_keepalive": True,
}

If this parameter is set to None or omitted then config_kwargs from AWS Connection Extra Parameter will be used. Otherwise use the specified value instead of the connection value. Default: None

Note

Specifying an empty dictionary, {}, will overwrite the connection configuration for botocore.config.Config

Operators¶

Run a query in Amazon Athena¶

Use the AthenaOperator to run a query in Amazon Athena.

In the following example, we query an existing Athena table and send the results to an existing Amazon S3 bucket. For more examples of how to use this operator, please see the Sample DAG.

tests/system/amazon/aws/example_athena.py

read_table = AthenaOperator(
    task_id="read_table",
    query=query_read_table,
    database=athena_database,
    output_location=f"s3://{s3_bucket}/",
)

Sensors¶

Wait on Amazon Athena query results¶

Use the AthenaSensor to wait for the results of a query in Amazon Athena.

tests/system/amazon/aws/example_athena.py

await_query = AthenaSensor(
    task_id="await_query",
    query_execution_id=read_table.output,
)

Reference¶

AWS boto3 library documentation for Athena