# 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.
"""
This is an example DAG for the use of the SQLExecuteQueryOperator with Impala.
"""

from __future__ import annotations

import datetime

from airflow import DAG
from airflow.providers.common.sql.operators.sql import SQLExecuteQueryOperator

DAG_ID = "example_impala"

with DAG(
    dag_id=DAG_ID,
    start_date=datetime.datetime(2025, 1, 1),
    default_args={"conn_id": "my_impala_conn"},
    schedule="@once",
    catchup=False,
) as dag:
    # [START howto_operator_impala]

    create_table_impala_task = SQLExecuteQueryOperator(
        task_id="create_table_impala",
        sql="""
            CREATE TABLE IF NOT EXISTS impala_example (
                a STRING,
                b INT
            )
            PARTITIONED BY (c INT)
        """,
    )

    # [END howto_operator_impala]

    alter_table_impala_task = SQLExecuteQueryOperator(
        task_id="alter_table_impala",
        sql="ALTER TABLE impala_example ADD PARTITION (c=1)",
    )

    insert_data_impala_task = SQLExecuteQueryOperator(
        task_id="insert_data_impala",
        sql="INSERT INTO impala_example PARTITION (c=1) VALUES ('a', 1), ('a', 2), ('b', 3)",
    )

    select_data_impala_task = SQLExecuteQueryOperator(
        task_id="select_data_impala",
        sql="SELECT * FROM impala_example",
    )

    drop_table_impala_task = SQLExecuteQueryOperator(
        task_id="drop_table_impala",
        sql="DROP TABLE impala_example",
    )

    (
        create_table_impala_task
        >> alter_table_impala_task
        >> insert_data_impala_task
        >> select_data_impala_task
        >> drop_table_impala_task
    )

    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: contributing-docs/testing/system_tests.rst)
test_run = get_test_run(dag)
