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

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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)

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