clintropolis commented on code in PR #17092: URL: https://github.com/apache/druid/pull/17092#discussion_r1797243465
########## docs/release-info/release-notes.md: ########## @@ -57,46 +57,570 @@ For tips about how to write a good release note, see [Release notes](https://git This section contains important information about new and existing features. -## Functional area and related changes +### Compaction features + +Druid now supports the following features: + +- Compaction scheduler with greater flexibility and control over when and what to compact. +- MSQ task engine-based auto-compaction for more performant compaction jobs. + +For more information, see [Compaction supervisors](#compaction-supervisors-experimental). + +[#16291](https://github.com/apache/druid/pull/16291) + +Additionally, compaction tasks that take advantage of concurrent append and replace is now generally available as part of concurrent append and replace becoming GA. + +### Window functions are GA + +[Window functions](https://druid.apache.org/docs/latest/querying/sql-window-functions) are now generally available in Druid's native engine and in the MSQ task engine. + +- You no longer need to use the query context `enableWindowing` to use window functions. [#17087](https://github.com/apache/druid/pull/17087) + +### Concurrent append and replace GA + +Concurrent append and replace is now GA. The feature safely replaces the existing data in an interval of a datasource while new data is being appended to that interval. One of the most common applications of this feature is appending new data (such as with streaming ingestion) to an interval while compaction of that interval is already in progress. + +### Delta Lake improvements + +The community extension for Delta Lake has been improved to support [complex types](#delta-lake-complex-types) and [snapshot versions](#delta-lake-snapshot-versions). + +### Iceberg improvements + +The community extension for Iceberg has been improved. For more information, see [Iceberg improvements](#iceberg-improvements) + +### Projections (experimental) + +Druid 31.0.0 includes experimental support for projections in segments. Like materialized views, projections can improve the performance of queries by optimizing the route the query takes when it executes. Review Comment: i'm still working on the writeup for a design proposal for this, another option would be to link to that from this since it should contain some of this information -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
