Humio Server 1.60.0 GA (2022-10-04)
Version? | Type? | Release Date? | Availability? | End of Support | Security Updates | Upgrades From? | Config. Changes? |
---|---|---|---|---|---|---|---|
1.60.0 | GA | 2022-10-04 | Cloud | 2023-11-30 | No | 1.30.0 | No |
Available for download two days after release.
Bug fixes and updates.
New features and improvements
UI Changes
Contextual drill-down menus for field interactions have been introduced, see Field Interactions. In particular:
Fields in the Inspection Panel are now provided with and context menu items, replacing the former buttons, see updates at Inspecting Events.
The Fields Panel on the left-hand side of the User Interface is now provided with and context menu items, replacing the former drill-down buttons in the field details flyout (when clicking a field in the fields menu). See updates at Displaying Fields.
Fields that have JSON, URL and Timestamps content will have a
drill-down option which will parse the field as a LogScale field.Parsing JSON will automatically use the field name as prefix for the new field name.
Fields containing numbers (currently JSON only) will have
, , , , and drill-down options.
GraphQL API
Added new createDashboardFromTemplateV2 mutation with input parameters aligned with the rest of the create from template mutations.
Dashboards and Widgets
JSON in
and formats columns inEvent List
widgets now have fields underlined on hover and are clickable. This allows drill-downs and copying values easily.
Other
New background task that runs at startup. It verifies the checksums present in local segment files, traversing the most recently updated segment files on the local disk, using the timestamps they have when Humio status. If a file has invalid checksum it will be renamed to
crc-error.X
whereX
is the ID of the segment. An error will be logged as well.It's now possible to expand multiple bell notifications.
Use latest version of Java 17 in Docker images.
Fixed in this release
Dashboards and Widgets
Fixed a bug where query result containing no valid results was handled incorrectly in visualisation.
Functions
Fixed an issue where
NaN
values could causegroupBy()
queries to fail.