MongoSensor

Mongo

Checks for the existence of a document which matches the given query in MongoDB. Example:

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Last Updated: Apr. 27, 2021

Access Instructions

Install the Mongo provider package into your Airflow environment.

Import the module into your DAG file and instantiate it with your desired params.

Parameters

collectionstrTarget MongoDB collection.
querydictThe query to find the target document.
mongo_conn_idstrThe connection ID to use when connecting to MongoDB.

Documentation

Checks for the existence of a document which matches the given query in MongoDB. Example:

>>> mongo_sensor = MongoSensor(collection="coll", ... query={"key": "value"}, ... mongo_conn_id="mongo_default", ... task_id="mongo_sensor")

Example DAGs

Improve this module by creating an example DAG.

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  1. Add an `example_dags` directory to the top-level source of the provider package with an empty `__init__.py` file.
  2. Add your DAG to this directory. Be sure to include a well-written and descriptive docstring
  3. Create a pull request against the source code. Once the package gets released, your DAG will show up on the Registry.

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