Source code for tests.system.providers.amazon.aws.example_athena

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from datetime import datetime

import boto3

from airflow import DAG
from airflow.decorators import task
from airflow.models.baseoperator import chain
from airflow.providers.amazon.aws.hooks.s3 import S3Hook
from airflow.providers.amazon.aws.operators.athena import AthenaOperator
from airflow.providers.amazon.aws.operators.s3 import (
    S3CreateBucketOperator,
    S3CreateObjectOperator,
    S3DeleteBucketOperator,
)
from airflow.providers.amazon.aws.sensors.athena import AthenaSensor
from tests.system.providers.amazon.aws.utils import set_env_id


[docs]ENV_ID = set_env_id()


[docs]DAG_ID = 'example_athena'



[docs]S3_BUCKET = f'{ENV_ID.lower()}-athena-bucket'


[docs]ATHENA_TABLE = f'{ENV_ID}_test_table'


[docs]ATHENA_DATABASE = f'{ENV_ID}_default'



[docs]SAMPLE_DATA = '''"Alice",20
    "Bob",25
    "Charlie",30
    '''


[docs]SAMPLE_FILENAME = 'airflow_sample.csv'



[docs]QUERY_CREATE_DATABASE = f'CREATE DATABASE IF NOT EXISTS {ATHENA_DATABASE}'


[docs]QUERY_CREATE_TABLE = f'''CREATE EXTERNAL TABLE IF NOT EXISTS {ATHENA_DATABASE}.{ATHENA_TABLE}
    ( `name` string, `age` int )
    ROW FORMAT SERDE "org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"
    WITH SERDEPROPERTIES ( "serialization.format" = ",", "field.delim" = "," )
    LOCATION "s3://{S3_BUCKET}//{ATHENA_TABLE}"
    TBLPROPERTIES ("has_encrypted_data"="false")
    '''


[docs]QUERY_READ_TABLE = f'SELECT * from {ATHENA_DATABASE}.{ATHENA_TABLE}'


[docs]QUERY_DROP_TABLE = f'DROP TABLE IF EXISTS {ATHENA_DATABASE}.{ATHENA_TABLE}'


[docs]QUERY_DROP_DATABASE = f'DROP DATABASE IF EXISTS {ATHENA_DATABASE}'



@task

[docs]def await_bucket():
    # Avoid a race condition after creating the S3 Bucket.
    client = boto3.client('s3')
    waiter = client.get_waiter('bucket_exists')
    waiter.wait(Bucket=S3_BUCKET)



@task

[docs]def read_results_from_s3(query_execution_id):
    s3_hook = S3Hook()
    file_obj = s3_hook.get_conn().get_object(Bucket=S3_BUCKET, Key=f'{query_execution_id}.csv')
    file_content = file_obj['Body'].read().decode('utf-8')
    print(file_content)



with DAG(
    dag_id=DAG_ID,
    schedule_interval='@once',
    start_date=datetime(2021, 1, 1),
    tags=['example'],
    catchup=False,
) as dag:

[docs]    create_s3_bucket = S3CreateBucketOperator(task_id='create_s3_bucket', bucket_name=S3_BUCKET)


    upload_sample_data = S3CreateObjectOperator(
        task_id='upload_sample_data',
        s3_bucket=S3_BUCKET,
        s3_key=f'{ATHENA_TABLE}/{SAMPLE_FILENAME}',
        data=SAMPLE_DATA,
        replace=True,
    )

    create_database = AthenaOperator(
        task_id='create_database',
        query=QUERY_CREATE_DATABASE,
        database=ATHENA_DATABASE,
        output_location=f's3://{S3_BUCKET}/',
    )

    create_table = AthenaOperator(
        task_id='create_table',
        query=QUERY_CREATE_TABLE,
        database=ATHENA_DATABASE,
        output_location=f's3://{S3_BUCKET}/',
    )

    # [START howto_operator_athena]
    read_table = AthenaOperator(
        task_id='read_table',
        query=QUERY_READ_TABLE,
        database=ATHENA_DATABASE,
        output_location=f's3://{S3_BUCKET}/',
    )
    # [END howto_operator_athena]

    # [START howto_sensor_athena]
    await_query = AthenaSensor(
        task_id='await_query',
        query_execution_id=read_table.output,
    )
    # [END howto_sensor_athena]

    drop_table = AthenaOperator(
        task_id='drop_table',
        query=QUERY_DROP_TABLE,
        database=ATHENA_DATABASE,
        output_location=f's3://{S3_BUCKET}/',
        trigger_rule="all_done",
    )

    drop_database = AthenaOperator(
        task_id='drop_database',
        query=QUERY_DROP_DATABASE,
        database=ATHENA_DATABASE,
        output_location=f's3://{S3_BUCKET}/',
        trigger_rule="all_done",
    )

    delete_s3_bucket = S3DeleteBucketOperator(
        task_id='delete_s3_bucket',
        bucket_name=S3_BUCKET,
        force_delete=True,
        trigger_rule="all_done",
    )

    chain(
        # TEST SETUP
        create_s3_bucket,
        await_bucket(),
        upload_sample_data,
        create_database,
        # TEST BODY
        create_table,
        read_table,
        await_query,
        read_results_from_s3(read_table.output),
        # TEST TEARDOWN
        drop_table,
        drop_database,
        delete_s3_bucket,
    )

    from tests.system.utils.watcher import watcher

    # This test needs watcher in order to properly mark success/failure
    # when "tearDown" task with trigger rule is part of the DAG
    list(dag.tasks) >> watcher()


from tests.system.utils import get_test_run  # noqa: E402

# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)

[docs]test_run = get_test_run(dag)

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