Work with Domino Datasets

Domino Datasets provide high-performance, versioned, and structured filesystem storage in Domino. You can use Datasets to build multiple curated collections of data in one project and share them with your collaborators to use in their projects. Likewise, you can mount Datasets from other projects in your own project if they are shared with you. You can modify the contents of a Dataset through the Domino application or through executions. A Dataset always reflects the most recent version of the data. For reproducibility, you can create read-only snapshots of your Dataset at any moment in time. Snapshots are useful when you need to ensure that the data you’re working on does not change. Datasets mount into Workspaces, Jobs, Launchers, and Apps, and your code reads and writes them as ordinary directories: /domino/datasets/local/<name> in DFS Projects, /mnt/data/<name> in Git-based Projects (see Use Datasets and snapshots for the full path scheme). Snapshots count toward your storage, so delete the ones you no longer need. Sharing is zero-copy: every Project mounts the same files rather than receiving a copy, so a Dataset shared read-only works as a controlled distribution mechanism for curated data products. The topics in this section show you how to use Datasets in your projects. Create and manage Datasets
Find shared Datasets and make them part of your project. Use Datasets and Snapshots
Use the Dataset’s path to access the Dataset from your code. Version data with Snapshots
Create a read-only, immutable version of the Dataset. Add tags to create a friendly, stable path to snapshots that hold the desired state for your data. Work with local data
Store data in a Domino Dataset and reserve your project files for the scripts and documents that you want to work with locally. Manage large Datasets
Use Domino Datasets or Project data compression to handle large data.

Core Concepts

Features

Work with Domino Datasets