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

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from __future__ import annotations

from airflow import DAG
from airflow.providers.common.sql.operators.sql import SQLColumnCheckOperator, SQLTableCheckOperator
from airflow.utils import timezone

[docs]AIRFLOW_DB_METADATA_TABLE = "ab_role"
[docs]connection_args = {
    "conn_id": "airflow_db",
    "conn_type": "Postgres",
    "host": "postgres",
    "schema": "postgres",
    "login": "postgres",
    "password": "postgres",
    "port": 5432,
}

with DAG(
    "example_sql_column_table_check",
    description="Example DAG for SQLColumnCheckOperator and SQLTableCheckOperator.",
    default_args=connection_args,
    start_date=timezone.datetime(2021, 1, 1),
    schedule=None,
    catchup=False,
) as dag:
    """
    ### Example SQL Column and Table Check DAG

    Runs the SQLColumnCheckOperator and SQLTableCheckOperator against the Airflow metadata DB.
    """

    # [START howto_operator_sql_column_check]
[docs]    column_check = SQLColumnCheckOperator(
        task_id="column_check",
        table=AIRFLOW_DB_METADATA_TABLE,
        column_mapping={
            "id": {
                "null_check": {
                    "equal_to": 0,
                    "tolerance": 0,
                },
                "distinct_check": {
                    "equal_to": 1,
                },
            }
        },
    )
    # [END howto_operator_sql_column_check]

    # [START howto_operator_sql_table_check]
    row_count_check = SQLTableCheckOperator(
        task_id="row_count_check",
        table=AIRFLOW_DB_METADATA_TABLE,
        checks={
            "row_count_check": {
                "check_statement": "COUNT(*) = 1",
            }
        },
    )
    # [END howto_operator_sql_table_check]

    column_check >> row_count_check


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)