ArcGIS Notebook Server 11.2 includes new enhancements, tools, and bug fixes. Notable new developments are described below.
New at 11.2
System limits API
The ArcGIS Portal Administrator API now allows you to set limits for various functions within your portal organization. With these limits, you can set the maximum number of active scheduled notebook tasks that a member can own and the maximum total number of active scheduled notebook tasks that can be created by all members within your organization.
See the Limits (system) documentation for more information.
See the Update (system limits) documentation for more information.
Notebook home page updates
The UI elements of the Notebooks home page have been updated at the release of 11.2. A new Manage button has been added that provides a drop-down menu with options for the Manage Notebooks window, a new Manage tasks window (for members with the Schedule notebooks privilege), and ArcGIS Notebook Server Manager (for administrators).
Manage notebook tasks
The Notebooks homepage now includes a Manage tasks window that allows users with the Schedule notebook privilege to view and mange their notebook tasks. Additionally, Administrators can view and manage all scheduled tasks in the their organization from the Manage tasks window.
See Manage scheduled tasks for more information.
Import and export code snippets
The ArcGIS Notebook Server Administrator Directory now includes APIs for importing code snippets into a snippet library and for exporting a snippet library as *.py files.
Change notice for notebook web tools
You can now share a notebook web tool to a different level than that of the level the notebook was published at. For example, a notebook web tool can be shared with the organization even while the notebook itself is not shared with the organization. To ensure that a web tool published in a previous release is able to utilize this change, overwrite the web tool.
Currently, the Create and edit notebooks privilege allows members to run web tools published from standard notebooks, the Advanced notebooks privilege allows members to run web tools published from advanced notebooks, the Run web tools privilege allows members to run all notebook web tools accessible to that member, and organization members are able to only run notebook web tools that they own. However, in the next release, the Run web tools privilege will be required for any member to run web tools that other members published from notebooks.
Web tools can now be published independently from the notebooks used to create them, as users with access to a notebook web tool no longer require access to the notebook that was used to publish that web tool.
Web tools published from a notebook now support the GPRasterDataLayer data type as input and output data.
See Geoprocessing service data types or more information.
Deep Learning geoprocessing functions
The ArcGIS Notebook Server advanced container image on Linux now supports Deep Learning geoprocessing functions through ArcPy.
See Deep Learning geoprocessing functions for more information.
You can now generate previews for snapshots that do not have an existing preview. Once a preview has been generated, you can preview the notebook associated with that snapshot.
See Working with existing snapshots for more information.
- ArcGIS Notebook Server supports Red Hat Enterprise Linux (RHEL) Server 9, Rocky Linux 9, AlmaLinux 9, and Oracle 9.
- ArcGIS Notebook Server on REHL supports Docker Engine community edition as a container engine.
- ArcGIS Enterprise Cloud Builder for Microsoft Azure supports deployment of multi-machine Notebook Server sites.
- When using Microsoft Azure cloud storage as a repository or the ArcGIS Notebook Server configuration store, you can now use Service Principal or user-managed identities for authentication.
Change notice for Esri sample notebooks
The following sample notebooks will either be removed or replaced at the next release. Please download the notebooks or save them to your own content prior to the next release as needed.
- Analyze the healthcare provider shortage (Part 1 of 4) — Data preparation
- Analyze the healthcare provider shortage (Part 2 of 4) — Exploratory data analysis
- Analyze the healthcare provider shortage (Part 3 of 4) — Exploratory data analysis
- Analyze the healthcare provider shortage (Part 4 of 4) — Machine learning
- Hurricane analysis (part 1 of 3) — Data preparation
- Hurricane analysis (part 2 of 3) — Exploratory data analysis
- Hurricane analysis (part 3 of 3) — Correlation analysis
- Time Series Forecasting — COVID-19 trends in US nursing homes - (Part 1/2)
- Time Series Forecasting — COVID-19 trends in US nursing homes - (Part 2/2)