Source code for tests.system.apache.hive.example_hive

# 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 Hive.
"""

from __future__ import annotations

import datetime

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

[docs] DAG_ID = "example_hive"
with DAG( dag_id=DAG_ID, start_date=datetime.datetime(2025, 1, 1), default_args={"conn_id": "my_hive_conn"}, schedule="@once", catchup=False, ) as dag: # [START howto_operator_hive]
[docs] create_table_hive_task = SQLExecuteQueryOperator( task_id="create_table_hive", sql="create table hive_example(a string, b int) partitioned by(c int)", )
# [END howto_operator_hive] alter_table_hive_task = SQLExecuteQueryOperator( task_id="alter_table_hive", sql="alter table hive_example add partition(c=1)", ) insert_data_hive_task = SQLExecuteQueryOperator( task_id="insert_data_hive", sql="insert into hive_example partition(c=1) values('a', 1), ('a', 2),('b',3)", ) select_data_hive_task = SQLExecuteQueryOperator( task_id="select_data_hive", sql="select * from hive_example", ) drop_table_hive_task = SQLExecuteQueryOperator( task_id="drop_table_hive", sql="drop table hive_example", ) ( create_table_hive_task >> alter_table_hive_task >> insert_data_hive_task >> select_data_hive_task >> drop_table_hive_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: tests/system/README.md#run_via_pytest)
[docs] test_run = get_test_run(dag)

Was this entry helpful?