Source code for tests.system.common.sql.example_sql_bulk_load
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# to you under the Apache License, Version 2.0 (the
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#
# http://www.apache.org/licenses/LICENSE-2.0
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from __future__ import annotations
from pathlib import Path
from airflow import DAG
from airflow.providers.common.sql.operators.sql import (
SQLBulkLoadOperator,
)
from airflow.providers.standard.operators.python import PythonOperator
from airflow.utils.timezone import datetime
[docs]
TMP_FILE = "/tmp/actors.tsv"
[docs]
connection_args = {
"conn_id": "airflow_db",
"conn_type": "Postgres",
"host": "postgres",
"schema": "postgres",
"login": "postgres",
"password": "postgres",
"port": 5432,
}
[docs]
def create_bulk_load_file():
Path(TMP_FILE).write_text(
"\n".join(
[
"Stallone\tSylvester\t78",
"Statham\tJason\t57",
"Li\tJet\t61",
"Lundgren\tDolph\t66",
"Norris\tChuck\t84",
]
),
encoding="utf-8",
)
with DAG(
"example_sql_bulk_load",
description="Example DAG for SQLBulkLoadOperator.",
default_args=connection_args,
start_date=datetime(2021, 1, 1),
schedule=None,
catchup=False,
) as dag:
"""
### Example SQL bulk load DAG
Runs the SQLBulkLoadOperator against the Airflow metadata DB.
"""
[docs]
create_file = PythonOperator(
task_id="create_file",
python_callable=create_bulk_load_file,
)
# [START howto_operator_sql_bulk_load]
bulk_load = SQLBulkLoadOperator(
task_id="bulk_load",
table="actors",
tmp_file=TMP_FILE,
preoperator=[
"""
CREATE TABLE IF NOT EXISTS actors (
name TEXT NOT NULL,
firstname TEXT NOT NULL,
age BIGINT NOT NULL
);
""",
"TRUNCATE TABLE actors;",
],
postoperator="DROP TABLE IF EXISTS actors;",
)
# [END howto_operator_sql_bulk_load]
create_file >> bulk_load
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)
[docs]
test_run = get_test_run(dag)