john-jac commented on code in PR #65816: URL: https://github.com/apache/airflow/pull/65816#discussion_r3139950930
########## providers/amazon/src/airflow/providers/amazon/aws/hooks/s3tables.py: ########## @@ -0,0 +1,73 @@ +# +# 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. +"""Interact with Amazon S3 Tables.""" + +from __future__ import annotations + +from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook + + +class S3TablesHook(AwsBaseHook): + """ + Interact with the Amazon S3 Tables API. + + Provide thin wrapper around :external+boto3:py:class:`boto3.client("s3tables") <S3Tables.Client>`. + + Additional arguments (such as ``aws_conn_id``) may be specified and + are passed down to the underlying AwsBaseHook. + + .. seealso:: + - :class:`airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook` + """ + + client_type = "s3tables" + + def __init__(self, *args, **kwargs) -> None: + kwargs["client_type"] = self.client_type + super().__init__(*args, **kwargs) + + def create_table( + self, + table_bucket_arn: str, + namespace: str, + name: str, + fmt: str = "ICEBERG", Review Comment: Fixed thanks! ########## providers/amazon/tests/system/amazon/aws/example_s3tables.py: ########## @@ -0,0 +1,147 @@ +# 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.decorators import task +from airflow.providers.amazon.aws.operators.s3tables import S3TablesCreateTableOperator +from airflow.providers.common.compat.sdk import DAG, chain + +try: + from airflow.sdk import TriggerRule +except ImportError: + from airflow.utils.trigger_rule import TriggerRule + +from system.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder + +DAG_ID = "example_s3tables" + +sys_test_context_task = SystemTestContextBuilder().build() + +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, + tags=["example"], +) as dag: + 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") + resp = client.create_table_bucket(name=name) + return resp["arn"] + + @task + def create_namespace(table_bucket_arn: str, ns: str): + """Create a namespace in the table bucket.""" + import boto3 + + client = boto3.client("s3tables") + client.create_namespace(tableBucketARN=table_bucket_arn, namespace=[ns]) + + @task(trigger_rule=TriggerRule.ALL_DONE) + def delete_table(table_bucket_arn: str, ns: str, name: str): + """Delete the table.""" + import boto3 + + client = boto3.client("s3tables") + try: + client.delete_table(tableBucketARN=table_bucket_arn, namespace=ns, name=name) + except client.exceptions.NotFoundException: + pass + + @task(trigger_rule=TriggerRule.ALL_DONE) + def delete_namespace(table_bucket_arn: str, ns: str): + """Delete the namespace.""" + import boto3 + + client = boto3.client("s3tables") + try: + client.delete_namespace(tableBucketARN=table_bucket_arn, namespace=ns) + 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_ns = create_namespace(table_bucket_arn=bucket_arn, ns=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] + + cleanup_table = delete_table(table_bucket_arn=bucket_arn, ns=namespace, name=table_name) + cleanup_ns = delete_namespace(table_bucket_arn=bucket_arn, ns=namespace) + cleanup_bucket = delete_table_bucket(table_bucket_arn=bucket_arn) Review Comment: Fixed thanks! -- This is an automated message from the Apache Git Service. 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