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Source code for tests.system.common.sql.example_sql_insert_rows

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from __future__ import annotations

from airflow import DAG
from airflow.providers.common.sql.operators.sql import SQLInsertRowsOperator
from airflow.utils.timezone import datetime

[docs] AIRFLOW_DB_METADATA_TABLE = "ab_user"
[docs] connection_args = { "conn_id": "airflow_db", "conn_type": "Postgres", "host": "postgres", "schema": "postgres", "login": "postgres", "password": "postgres", "port": 5432, }
with DAG( "example_sql_insert_rows", description="Example DAG for SQLInsertRowsOperator.", default_args=connection_args, start_date=datetime(2021, 1, 1), schedule=None, catchup=False, ) as dag: """ ### Example SQL insert rows DAG Runs the SQLInsertRowsOperator against the Airflow metadata DB. """ # [START howto_operator_sql_insert_rows]
[docs] insert_rows = SQLInsertRowsOperator( task_id="insert_rows", table_name="actors", columns=[ "name", "firstname", "age", ], rows=[ ("Stallone", "Sylvester", 78), ("Statham", "Jason", 57), ("Li", "Jet", 61), ("Lundgren", "Dolph", 66), ("Norris", "Chuck", 84), ], preoperator=[ """ CREATE TABLE IF NOT EXISTS actors ( index BIGINT PRIMARY KEY GENERATED ALWAYS AS IDENTITY, name TEXT NOT NULL, firstname TEXT NOT NULL, age BIGINT NOT NULL ); """, "TRUNCATE TABLE actors;", ], postoperator="DROP TABLE IF EXISTS actors;", insert_args={ "commit_every": 1000, "autocommit": False, "executemany": True, "fast_executemany": True, }, )
# [END howto_operator_sql_insert_rows] 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)

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