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# to you under the Apache License, Version 2.0 (the
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# 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
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from __future__ import annotations
import datetime
import os
import ydb
from airflow import DAG
from airflow.decorators import task
from airflow.providers.ydb.hooks.ydb import YDBHook
from airflow.providers.ydb.operators.ydb import YDBExecuteQueryOperator
# [START ydb_operator_howto_guide]
# create_pet_table, populate_pet_table, get_all_pets, and get_birth_date are examples of tasks created by
# instantiating the YDB Operator
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]DAG_ID = "ydb_operator_dag"
@task
[docs]def populate_pet_table_via_bulk_upsert():
hook = YDBHook()
column_types = (
ydb.BulkUpsertColumns()
.add_column("pet_id", ydb.OptionalType(ydb.PrimitiveType.Int32))
.add_column("name", ydb.PrimitiveType.Utf8)
.add_column("pet_type", ydb.PrimitiveType.Utf8)
.add_column("birth_date", ydb.PrimitiveType.Utf8)
.add_column("owner", ydb.PrimitiveType.Utf8)
)
rows = [
{"pet_id": 3, "name": "Lester", "pet_type": "Hamster", "birth_date": "2020-06-23", "owner": "Lily"},
{"pet_id": 4, "name": "Quincy", "pet_type": "Parrot", "birth_date": "2013-08-11", "owner": "Anne"},
]
hook.bulk_upsert("pet", rows=rows, column_types=column_types)
with DAG(
dag_id=DAG_ID,
start_date=datetime.datetime(2020, 2, 2),
schedule="@once",
catchup=False,
) as dag:
# [START ydb_operator_howto_guide_create_pet_table]
[docs] create_pet_table = YDBExecuteQueryOperator(
task_id="create_pet_table",
sql="""
CREATE TABLE pet (
pet_id INT,
name TEXT NOT NULL,
pet_type TEXT NOT NULL,
birth_date TEXT NOT NULL,
owner TEXT NOT NULL,
PRIMARY KEY (pet_id)
);
""",
is_ddl=True, # must be specified for DDL queries
)
# [END ydb_operator_howto_guide_create_pet_table]
# [START ydb_operator_howto_guide_populate_pet_table]
populate_pet_table = YDBExecuteQueryOperator(
task_id="populate_pet_table",
sql="""
UPSERT INTO pet (pet_id, name, pet_type, birth_date, owner)
VALUES (1, 'Max', 'Dog', '2018-07-05', 'Jane');
UPSERT INTO pet (pet_id, name, pet_type, birth_date, owner)
VALUES (2, 'Susie', 'Cat', '2019-05-01', 'Phil');
""",
)
# [END ydb_operator_howto_guide_populate_pet_table]
# [START ydb_operator_howto_guide_get_all_pets]
get_all_pets = YDBExecuteQueryOperator(task_id="get_all_pets", sql="SELECT * FROM pet;")
# [END ydb_operator_howto_guide_get_all_pets]
# [START ydb_operator_howto_guide_get_birth_date]
get_birth_date = YDBExecuteQueryOperator(
task_id="get_birth_date",
sql="SELECT * FROM pet WHERE birth_date BETWEEN '{{params.begin_date}}' AND '{{params.end_date}}'",
params={"begin_date": "2020-01-01", "end_date": "2020-12-31"},
)
# [END ydb_operator_howto_guide_get_birth_date]
(
create_pet_table
>> populate_pet_table
>> populate_pet_table_via_bulk_upsert()
>> get_all_pets
>> get_birth_date
)
# [END ydb_operator_howto_guide]
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)
[docs]test_run = get_test_run(dag)