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from __future__ import annotations
from datetime import datetime
import boto3
from airflow.decorators import task
from airflow.models.baseoperator import chain
from airflow.models.dag import DAG
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 airflow.utils.trigger_rule import TriggerRule
from providers.tests.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)