Elasticsearch version 8.14.2

When upgrading clusters from version 8.11.4 or earlier, if your cluster contains non-master-eligible nodes, information about the new functionality of these upgraded nodes may not be registered properly with the master node. This can lead to some new functionality added since 8.12.0 not being accessible on the upgraded cluster. If your cluster is running on ECK 2.12.1 and above, this may cause problems with finalizing the upgrade. To resolve this issue, perform a rolling restart on the non-master-eligible nodes once all Elasticsearch nodes are upgraded. This issue is fixed in 8.15.0.
The pytorch_inference process used to run Machine Learning models can consume large amounts of memory. In environments where the available memory is limited, the OS Out of Memory Killer will kill the pytorch_inference process to reclaim memory. This can cause inference requests to fail. Elasticsearch will automatically restart the pytorch_inference process after it is killed up to four times in 24 hours. (issue: #110530)

Data streams

Ensure a lazy rollover request will rollover the target data stream once. #109636
[Data streams] Fix the description of the lazy rollover task #109629

ES|QL

Infra/Scripting

Check array size before returning array item in script doc values #109824 (issue: #104998)

Infra/Settings

Machine Learning

Mapping

Re-define index.mapper.dynamic setting in 8.x for a better 7.x to 8.x upgrade if this setting is used. #109341

Ranking

Fix for from parameter when using sub_searches and rank #106253 (issue: #99011)