Release 454-e STS (24 Sep 2024)#
Starburst Enterprise platform (SEP) 454-e is the follow up SEP release to 453-e. It includes all improvements from the following Trino releases:
This release is a short term support (STS) release.
Breaking changes#
The
query.low-memory-killer.delay
configuration property has been removed. You must remove this property or the cluster fails to start.
General#
Starburst Helm charts are now available on Harbor registry storage via the OCI API.
Updated contents of the Run and troubleshoot archive to include server and catalog configuration files.
Fixed an issue which prevented
sysadmin
role from using Schema Discovery UX. To run schema discovery, the service account referenced byschema-discovery.starburst-user
must be listed instarburst.access-control.authorized-users
.Fixed an issue using run and troubleshoot in the query editor when the
insights.authorized-groups
configuration property contains authorized groups.Fixed an issue that caused cluster metrics to be created with incorrect intervals leading to loss of cluster metrics data.
Fixed UI regression caused by incorrect property name.
Fixed issue with definition validation during materialized view creation.
Security#
Built-in access control access logs for UI elements are now disabled by default. These logs can be re-enabled with a configuration property.
Removed unnecessary access checks caused by opening “cluster info” in the UI.
Improved built-in access control “access denied” error text.
Fixed a coordinator startup failure caused by a Ranger configuration referencing secrets.
Fixed support for migration of Ranger policies in security zones.
Delta Lake connector#
Added support for using a bucket-style location alias when using the Databricks Unity Catalog as a metastore.
Hive connector#
Fixed performance issues with partitioned tables when using Lake Formation access control with the Hive connector.
Fixed an issue that caused the
UNLOAD
function to fail.
Teradata connector#
Fixed numeric overflow during managed statistics computation for large tables in Teradata mode session.