datarush 0.2.0

No-code data pipelines

DataRush

No-Code Data Pipelines

Installation

pip install datarush

Settings

Before running the application, ensure the following environment variables are configured. The use of a .env file is supported.

Name	Description	Default Value
TEMPLATE_STORE_TYPE	Specifies the template store type: S3 or FILESYSTEM.
TEMPLATE_STORE_S3_BUCKET	The S3 bucket to store templates when using the S3 store type.
TEMPLATE_STORE_S3_PREFIX	The S3 prefix for templates when using the S3 store type.	datarush
TEMPLATE_STORE_FILESYSTEM_PATH	The filesystem path for templates when using the filesystem store.	.
S3_ENDPOINT	The endpoint URL for the S3 service.
S3_ACCESS_KEY	The access key for the S3 service.
S3_SECRET_KEY	The secret key for the S3 service.
S3_DEFAULT_BUCKET	The default bucket suggested in the operations UI.

Running UI

To launch the DataRush user interface, follow these steps:

1. Create a run_ui.py file to serve as the entry point for the Streamlit application:

   from datarush import run_ui
   
   if __name__ == "__main__":
       run_ui()
   

2. Start the application using the Streamlit command:

   streamlit run run_ui.py
   

Running Templates

To execute a DataRush template, use the following commands:

• For a template named foo with version 0.0.1:

  python -m datarush --template "foo" --version "0.0.1"
  

• To pass additional input arguments supported by the template:

  python -m datarush --template "foo" --version "0.0.1" --other_argument "value"