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AIP-47 - Migrate hive DAGs to new design #22439 (#24204)
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chethanuk authored Jun 5, 2022
1 parent ddf9013 commit 100ea9d
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2 changes: 1 addition & 1 deletion docs/apache-airflow-providers-apache-hive/index.rst
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Expand Up @@ -39,7 +39,7 @@ Content
:maxdepth: 1
:caption: Resources

Example DAGs <https://github.com/apache/airflow/tree/main/airflow/providers/apache/hive/example_dags>
Example DAGs <https://github.com/apache/airflow/tree/main/tests/system/providers/apache/hive>
PyPI Repository <https://pypi.org/project/apache-airflow-providers-apache-hive/>
Installing from sources <installing-providers-from-sources>

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3 changes: 2 additions & 1 deletion docs/apache-airflow-providers-apache-hive/operators.rst
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Expand Up @@ -27,8 +27,9 @@ HiveOperator

This operator executes hql code or hive script in a specific Hive database.

.. exampleinclude:: /../../airflow/providers/apache/hive/example_dags/example_twitter_dag.py
.. exampleinclude:: /../../tests/system/providers/apache/hive/example_twitter_dag.py
:language: python
:dedent: 4
:start-after: [START create_hive]
:end-before: [END create_hive]

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17 changes: 17 additions & 0 deletions tests/system/providers/apache/hive/__init__.py
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#
# 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.
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"""
This is an example dag for managing twitter data.
"""

import os
from datetime import date, datetime, timedelta

from airflow import DAG
from airflow.decorators import task
from airflow.operators.bash import BashOperator
from airflow.providers.apache.hive.operators.hive import HiveOperator

ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
DAG_ID = "example_twitter_dag"


@task
def fetch_tweets():
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with DAG(
dag_id='example_twitter_dag',
dag_id=DAG_ID,
default_args={
'owner': 'Ekhtiar',
'retries': 1,
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)

analyze >> load_to_hdfs >> load_to_hive >> hive_to_mysql

from tests.system.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.system.utils import get_test_run # noqa: E402

# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
test_run = get_test_run(dag)

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