24 August 2021
less than a minute read
Rel supports importing data from the cloud, such as from S3 buckets. Our How-To Guides describe the process of importing cloud-based CSV or JSON data. However, if you have a local file, there is currently no way to specify a local file path and upload that data into a database using Rel.
RelationalAI’s notebook now provides a user interface to upload locally stored data and assign it to a relation in your database. You can use the browser to upload a file from your computer, and then follow the usual CSV/JSON import patterns.
With the new notebook update, the ability to access and import local data into your database is provided. To get started, go to Working with RelationalAI Notebooks.
We are excited to announce worksheets, a new interface for submitting Rel queries. Worksheets allow you to develop blocks of Rel code and run them against a database. They can be shared with other users using their URLs.Read More
We are excited to announce the support of varargs in Rel. You can use varargs to write more general code that works for multiple arities. Varargs can be useful when writing generic relations for common utilities.Read More
Value types help distinguish between different kinds of values, even though the underlying representation may be identical. Value types can be used to define other value types.Read More