# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations
from datetime import datetime
from airflow.providers.amazon.aws.operators.s3_tables import (
S3TablesCreateTableOperator,
S3TablesDeleteTableOperator,
)
from airflow.providers.common.compat.sdk import DAG, chain
from tests_common.test_utils.version_compat import AIRFLOW_V_3_0_PLUS
if AIRFLOW_V_3_0_PLUS:
from airflow.sdk import TriggerRule, task
else:
from airflow.decorators import task # type: ignore[attr-defined,no-redef]
from airflow.utils.trigger_rule import TriggerRule # type: ignore[no-redef,attr-defined]
from system.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder
[docs]
DAG_ID = "example_s3tables"
[docs]
sys_test_context_task = SystemTestContextBuilder().build()
[docs]
SCHEMA = {
"iceberg": {
"schema": {
"fields": [
{"name": "id", "type": "int", "required": True},
{"name": "name", "type": "string", "required": False},
]
}
}
}
with DAG(
dag_id=DAG_ID,
schedule="@once",
start_date=datetime(2021, 1, 1),
catchup=False,
) as dag:
[docs]
test_context = sys_test_context_task()
env_id = test_context[ENV_ID_KEY]
bucket_name = f"{env_id}-s3tables"
namespace = f"{env_id}_ns"
table_name = f"{env_id}_tbl"
@task
def create_table_bucket(name: str) -> str:
"""Create an S3 Tables bucket and return its ARN."""
import boto3
client = boto3.client("s3tables")
return client.create_table_bucket(name=name)["arn"]
@task
def create_namespace(table_bucket_arn: str, namespace: str):
"""Create a namespace in the table bucket."""
import boto3
boto3.client("s3tables").create_namespace(tableBucketARN=table_bucket_arn, namespace=[namespace])
@task(trigger_rule=TriggerRule.ALL_DONE)
def delete_namespace(table_bucket_arn: str, namespace: str):
"""Delete the namespace."""
import boto3
client = boto3.client("s3tables")
try:
client.delete_namespace(tableBucketARN=table_bucket_arn, namespace=namespace)
except client.exceptions.NotFoundException:
pass
@task(trigger_rule=TriggerRule.ALL_DONE)
def delete_table_bucket(table_bucket_arn: str):
"""Delete the table bucket."""
import boto3
client = boto3.client("s3tables")
try:
client.delete_table_bucket(tableBucketARN=table_bucket_arn)
except client.exceptions.NotFoundException:
pass
bucket_arn = create_table_bucket(name=bucket_name)
setup_namespace = create_namespace(table_bucket_arn=bucket_arn, namespace=namespace)
# [START howto_operator_s3tables_create_table]
create_table = S3TablesCreateTableOperator(
task_id="create_table",
table_bucket_arn=bucket_arn,
namespace=namespace,
table_name=table_name,
metadata=SCHEMA,
)
# [END howto_operator_s3tables_create_table]
# [START howto_operator_s3tables_delete_table]
delete_table = S3TablesDeleteTableOperator(
task_id="delete_table",
table_bucket_arn=bucket_arn,
namespace=namespace,
table_name=table_name,
trigger_rule=TriggerRule.ALL_DONE,
)
# [END howto_operator_s3tables_delete_table]
chain(
# TEST SETUP
test_context,
bucket_arn,
setup_namespace,
# TEST BODY
create_table,
# TEST TEARDOWN
delete_table,
delete_namespace(table_bucket_arn=bucket_arn, namespace=namespace),
delete_table_bucket(table_bucket_arn=bucket_arn),
)
from tests_common.test_utils.watcher import watcher
list(dag.tasks) >> watcher()
from tests_common.test_utils.system_tests import get_test_run # noqa: E402
[docs]
test_run = get_test_run(dag)