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Shared Data Layer (SDL) provides a high-speed interface to access shared storage

Project description


Shared Data Layer in the RAN Intelligent Controller

Shared Data Layer (SDL) provides a lightweight, high-speed interface for accessing shared data storage. The purpose is to enable utilizing clients to become stateless, conforming with, e.g., the requirements of the fifth generation mobile networks.



Namespaces provide data isolation within SDL data storage. That is, data in certain namespace is isolated from the data in other namespaces. Each SDL client uses one or more namespaces. Namespaces can be used, for example, to isolate data belonging to different use cases.

Keys and Data

Clients save key-data pairs. Data is passed as a bytes type. SDL stores the data as it is. Any structure that this data may have (e.g. a data structure serialized by pickle) is meaningful only to the client itself. Clients are responsible for managing the keys. As namespaces provide data isolation, keys in different namespaces always access different data.

Backend Data Storage

Backend data storage refers to data storage technology behind SDL API, which handles the actual data storing. SDL API hides the backend data storage implementation from SDL API clients, and therefore backend data storage technology can be changed without affecting SDL API clients. Currently, Redis database is used as a backend data storage solution.


Notifications functionality provide SDL clients the possibility to receive notifications about data changes in SDL namespaces. SDL client receiving notifications about data changes is referred to as "subscriber", while the SDL client modifying data and publishing notifications is referred to as "publisher".


Install from PyPi

python3 -m pip install ricsdl

Install using the source

python3 install


Instructions how to use SDL can be found from O-RAN Software Community (SC) Documentation under Near Realtime RAN Intelligent Controller (RIC) section: O-RAN SC Documentation Home

Unit Testing

To run the unit tests run the following command in the package directory: python3 -m pytest


See the examples directory.


The ci is done with the tox tool. See tox.ini file for details.

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