airflow-providers-wherobots 0.1.8

Airflow extension for communicating with Wherobots Cloud

Airflow Providers for Wherobots

Airflow providers to bring Wherobots Cloud's spatial compute to your data workflows and ETLs.

Installation

If you use Poetry in your project, add the dependency with poetry add:

$ poetry add airflow-providers-wherobots

Otherwise, just pip install it:

$ pip install airflow-providers-wherobots

Usage

Create a connection

You first need to create a Connection in Airflow. This can be done from the UI, or from the command-line. The default Wherobots connection name is wherobots_default; if you use another name you must specify that name with the wherobots_conn_id parameter when initializing Wherobots operators.

The only required fields for the connection are:

• the Wherobots API endpoint in the host field;
• your Wherobots API key in the password field.

$ airflow connections add "wherobots_default" \
    --conn-type "generic" \
    --conn-host "api.cloud.wherobots.com" \
    --conn-password "$(< api.key)"

Execute a SQL query

The WherobotsSqlOperator allows you to run SQL queries on the Wherobots cloud, from which you can build your ETLs and data transformation workflows by querying, manipulating, and producing datasets with WherobotsDB.

Refer to the Wherobots Documentation and this guidance to learn how to read data, transform data, and write results in Spatial SQL with WherobotsDB.

Refer to the Wherobots Apache Airflow Provider Documentation to get more detailed guidance about how to use the Wherobots Apache Airflow Provider.

Example

Below is an example Airflow DAG that executes a SQL query on Wherobots Cloud:

import datetime

from airflow import DAG
from airflow_providers_wherobots.operators.sql import WherobotsSqlOperator


with DAG(
    dag_id="example_wherobots_sql_dag",
    start_date=datetime.datetime.now(),
    schedule="@hourly",
    catchup=False
):
    # Create a `wherobots.test.airflow_example` table with 100 records
    # from the OMF `places_place` dataset.
    operator = WherobotsSqlOperator(
        task_id="execute_query",
        sql=f"""
        INSERT INTO wherobots.test.airflow_example
        SELECT id, geometry, confidence, geohash
        FROM wherobots_open_data.overture.places_place
        LIMIT 100
        """,
        return_last=False,
    )