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#
# http://www.apache.org/licenses/LICENSE-2.0
#
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from __future__ import annotations
from datetime import datetime
import boto3
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_common.test_utils.version_compat import AIRFLOW_V_3_0_PLUS
if AIRFLOW_V_3_0_PLUS:
from airflow.sdk import DAG, chain, task
else:
# Airflow 2 path
from airflow.decorators import task # type: ignore[attr-defined,no-redef]
from airflow.models.baseoperator import chain # type: ignore[attr-defined,no-redef]
from airflow.models.dag import DAG # type: ignore[attr-defined,no-redef,assignment]
from airflow.utils.trigger_rule import TriggerRule
from system.amazon.aws.utils import SystemTestContextBuilder
[docs]
sys_test_context_task = SystemTestContextBuilder().build()
[docs]
DAG_ID = "example_athena"
[docs]
SAMPLE_DATA = """"Alice",20
"Bob",25
"Charlie",30
"""
[docs]
SAMPLE_FILENAME = "airflow_sample.csv"
@task
[docs]
def await_bucket(bucket_name):
# Avoid a race condition after creating the S3 Bucket.
client = boto3.client("s3")
waiter = client.get_waiter("bucket_exists")
waiter.wait(Bucket=bucket_name)
@task
[docs]
def read_results_from_s3(bucket_name, query_execution_id):
s3_hook = S3Hook()
file_obj = s3_hook.get_conn().get_object(Bucket=bucket_name, 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="@once",
start_date=datetime(2021, 1, 1),
tags=["example"],
catchup=False,
) as dag:
[docs]
test_context = sys_test_context_task()
env_id = test_context["ENV_ID"]
s3_bucket = f"{env_id}-athena-bucket"
athena_table = f"{env_id}_test_table"
athena_database = f"{env_id}_default"
query_create_database = f"CREATE DATABASE IF NOT EXISTS {athena_database}"
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")
"""
query_read_table = f"SELECT * from {athena_database}.{athena_table}"
query_drop_table = f"DROP TABLE IF EXISTS {athena_database}.{athena_table}"
query_drop_database = f"DROP DATABASE IF EXISTS {athena_database}"
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}/",
sleep_time=1,
)
create_table = AthenaOperator(
task_id="create_table",
query=query_create_table,
database=athena_database,
output_location=f"s3://{s3_bucket}/",
sleep_time=1,
)
# [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]
read_table.sleep_time = 1
# [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=TriggerRule.ALL_DONE,
sleep_time=1,
)
drop_database = AthenaOperator(
task_id="drop_database",
query=query_drop_database,
database=athena_database,
output_location=f"s3://{s3_bucket}/",
trigger_rule=TriggerRule.ALL_DONE,
sleep_time=1,
)
delete_s3_bucket = S3DeleteBucketOperator(
task_id="delete_s3_bucket",
bucket_name=s3_bucket,
force_delete=True,
trigger_rule=TriggerRule.ALL_DONE,
)
chain(
# TEST SETUP
test_context,
create_s3_bucket,
await_bucket(s3_bucket),
upload_sample_data,
create_database,
# TEST BODY
create_table,
read_table,
await_query,
read_results_from_s3(s3_bucket, read_table.output),
# TEST TEARDOWN
drop_table,
drop_database,
delete_s3_bucket,
)
from tests_common.test_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_common.test_utils.system_tests 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)