What’s new 2022.2 (June)
With Datalore Enterprise 2022.2, you can set up a private Datalore installation in less than 10 minutes, schedule notebooks, collaborate on attached files, get better database support, and more.
Read on for the highlights of this release!
Docker installation
With the new Docker-based installation you can get a basic, private Datalore setup running in less than 10 minutes. Whether it’s on AWS, GCP, Azure, or an on-premises machine, you’ll be able to set up Datalore by running a single Docker command. Connecting authentication modules, setting up internal usage plans, and customizing environments can be further carried out step-by-step. See a detailed comparison table between Docker-based and Kubernetes-based installations here.
Notebook scheduling
Use scheduling to run your notebooks on an hourly, daily, weekly, or monthly basis and deliver regular updates to published reports. Choose the schedule parameters from the user interface or use the CRON string. Notify notebook collaborators upon successful or failed runs via email.
Computation tab
Get one-click access to all the necessary computation options from the left-hand sidebar. Configure scheduling options, machine types and kernel settings from one place.
Collaboration on Attached files
Get a fully collaborative experience by editing Python scripts and other files attached to the notebook together with your team members. You’ll be able to see collaborators' cursors in the right-hand sidebar editor and get real-time updates to the files’ contents.
Database integration improvements
Limiting DB's schema for introspection
Choose specific database schemas and tables for introspections when creating a database connection in Datalore. This will help speed up the initial introspection and make schema navigation easier.
MS SQL Server support
Now you can connect to an MS SQL Server database right from the editor interface – navigate to the schema and get code completion for SQL queries inside SQL cells. Read more about SQL support here.
Parameterized SQL queries
In Datalore, it is now possible to use variables (strings, numbers, booleans, lists) defined in Python code inside the SQL cells. This allows you to build interactive reports with parameterized queries, helps minimize the SQL code written, and presents a better UI for report users.
Other improvements:
- Added a 24-hour idle shutdown option for background computation.
- Added instance and storage gift codes.
- Improved overall performance, especially when working with big DataFrames and using the Statistics tab or Variable viewer.
- Improved security of transferring database passwords to the server when testing the database connection.
- Improved kernel stability following non-critical code errors.
- Improved kernel stability when using interactive controls in Reactive mode.
- Fixed opening notebooks with erroneous syntax info.
- Fixed the dropdown value update in interactive reports.