AWS redshift documentation change
Summary
Updated Amazon Redshift patch list to include patch 201 with new features, improvements, and bug fixes
Security assessment
The changes document routine patch updates including performance improvements, new features (ALTERs on Iceberg tables, SHOW GRANTS support), and bug fixes. While some fixes address stability issues (cluster restarts, credential acquisition failures), there's no explicit mention of security vulnerabilities, exploits, or security patches. The changes appear to be standard maintenance and feature updates.
Diff
diff --git a/redshift/latest/mgmt/cluster-versions.md b/redshift/latest/mgmt/cluster-versions.md index 605ecad4e..67c118401 100644 --- a//redshift/latest/mgmt/cluster-versions.md +++ b//redshift/latest/mgmt/cluster-versions.md @@ -7 +7 @@ -Patch 200Patch 199Patch 198Patch 197Patch 196Patch 195Patch 194Patch 193Patch 192Patch 191Patch 190Patch 189Patch 188Patch 187Patch 186Patch 185Patch 184Patch 183Patch 182Patch 181Patch 180Patch 179Patch 178Patch 177Patch 176Patch 175Patch 174Patch 173Patch 172Patch 171Patch 170Patch 169Patch 168 +Patch 201Patch 200Patch 199Patch 198Patch 197Patch 196Patch 195Patch 194Patch 193Patch 192Patch 191Patch 190Patch 189Patch 188Patch 187Patch 186Patch 185Patch 184Patch 183Patch 182Patch 181Patch 180Patch 179Patch 178Patch 177Patch 176Patch 175Patch 174Patch 173Patch 172Patch 171Patch 170Patch 169Patch 168 @@ -25,0 +26,2 @@ Critical updates that affect Amazon Redshift behavior are introduced as Amazon R + * Amazon Redshift patch 201 + @@ -94,0 +97,76 @@ Critical updates that affect Amazon Redshift behavior are introduced as Amazon R +## Amazon Redshift patch 201 + +Cluster versions in this patch: + + * 1.0.280974 – **CURRENT Track** Amazon Redshift provisioned cluster version and Amazon Redshift Serverless workgroup version – Released April 22, 2026 + + + + +### New features and improvements in this patch + + * Added support for ALTERs on Iceberg tables. + + * Added support to write to Iceberg tables mounted under AwsDataCatalog. + + * Added support for the SHOW GRANTS command when connected to a database using the USE command. + + * Added support for SHOW GRANTS and SHOW COLUMN GRANTS commands for identities with federated permissions. + + * Added support for materialized view auto-refresh as a user workload with burst capacity on Amazon Redshift Serverless. + + * Allow AutoWLM to assign more cluster memory to queries writing to wide tables. + + * Amazon Redshift improved the query performance of the SVV_ATTACHED_MASKING_POLICY system view, reducing execution time on instances with a large number of permissions and dynamic data masking policy attachments. + + * Improved the DROP USER error message to include the number of object ownerships and privileges that must be resolved before the user can be dropped. + + * Upgraded the librdkafka library to version 2.13.x from 2.8.x to provide the latest bug fixes and performance enhancements. + + * Enhanced performance for queries using Lambda User-Defined Functions in the HAVING clause of aggregates. + + * Enhanced performance for queries using Lambda User-Defined Functions with window functions. + + * Enhanced stability for Lambda User-Defined Functions with no arguments. + + * Enhanced datalake table query execution performance when using ORDER BY and LIMIT clauses by eliminating unnecessary data scans. + + * Improved error messages for zero-ETL integrations to provide clearer details for unsupported constraints, unsupported DDL statements, date precision loss, multibyte character length mismatches, and skipped source tables. + + * Improved zero-ETL integration resilience by gracefully handling credential acquisition failures during replication status checks. + + * Improved performance of zero-ETL integrations when running concurrent replication tasks. + + * Improved time-travel query results for zero-ETL tables with frequently updated rows to ensure each historical row version reflects its individual deletion timestamp. + + * Fixed some edge cases where the main cluster was not properly resized by AI-driven scaling. + + * Fixed an issue where Amazon CloudWatch metrics could report duplicate failed query counts when queries were evicted and retried by workload management (WLM). + + * Fixed an issue where COPY with Redshift Table Copy could produce a distribution style mismatch on the pristine path. + + * Fixed an issue with incorrect partition sort end row calculation that could affect range-restricted scan results. + + * Fixed an issue where automatic vacuum operations could fail when a table was dropped concurrently. + + * Fixed an issue where VACUUM could use a stale table version when acquiring the relation, potentially leading to errors. + + * Ensured vacuum transaction map is properly cleaned up on burst clusters. + + * Fixed an issue where queries on zero-ETL replicated tables could fail when accessed through data sharing. + + * Fixed an issue in zero-ETL integration data replication that could cause cluster restarts. + + * Fixed an issue where zero-ETL integrations with DynamoDB history mode could fail during update-merge operations. + + * Fixed an issue where zero-ETL integration tables could display incorrect row counts in the Amazon Redshift console. + + * Fixed an issue that prevented Amazon Redshift Serverless workgroups from pausing during zero-ETL integration operations. + + * Fixed an issue where empty Avro files caused COPY ingestion to fail. Empty Avro files are now skipped and ingestion continues without an error. + + * Fixed a stale block header checksum issue during epsilon tree replay when using position-independent superblock. + + + +