Skip to main content

Airflow extension for communicating with Wherobots Cloud

Project description

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,
    )

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

airflow_providers_wherobots-0.1.14.tar.gz (11.3 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file airflow_providers_wherobots-0.1.14.tar.gz.

File metadata

File hashes

Hashes for airflow_providers_wherobots-0.1.14.tar.gz
Algorithm Hash digest
SHA256 36f5647c0659b1aa4930ada1cbcebfd02301b830bc039a0dbb08b8854e856b40
MD5 6888e45efa18b068d2ef69485a2c8479
BLAKE2b-256 71356cef87d47dff87a9d1a95f880fd6af4422b8c07b37c40be7b7e26972787a

See more details on using hashes here.

File details

Details for the file airflow_providers_wherobots-0.1.14-py3-none-any.whl.

File metadata

File hashes

Hashes for airflow_providers_wherobots-0.1.14-py3-none-any.whl
Algorithm Hash digest
SHA256 d72d9cf061b0cbb1c22d41941ede281ba743aef4ce2cc896991b6b3b96aa70d0
MD5 83c52aff181b0eff9cee96b6d8ce5902
BLAKE2b-256 cd24b874c99d3af666cfb1d6fceeb55a8a47f491939b5cc0484c159097190443

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page