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airflow_dag_great_expectations_operator_validation_quickstart.py
pythonThis DAG demonstrates how to use the GreatExpectatio
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airflow_dag_great_expectations_operator_validation_quickstart.py
1import os
2from pathlib import Path
3from datetime import datetime
4
5from airflow import DAG
6from great_expectations_provider.operators.great_expectations import GreatExpectationsOperator
7
8# Define the base path for your Great Expectations project
9base_path = Path(__file__).parents[2]
10data_context_root_dir = os.path.join(base_path, "great_expectations")
11
12with DAG(
13 dag_id="ge_example_dag",
14 start_date=datetime(2023, 1, 1),
15 catchup=False,
16 schedule_interval=None,
17) as dag:
18
19 # Task to run Great Expectations validation
20 ge_validation = GreatExpectationsOperator(
21 task_id="ge_validation_task",
22 data_context_root_dir=data_context_root_dir,
23 checkpoint_name="my_checkpoint",
24 # You can optionally override parameters:
25 # expectation_suite_name="my_suite",
26 # batch_request={"datasource_name": "my_datasource", "data_asset_name": "my_table"},
27 )
28
29 ge_validation