IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.

« Observability highlights Kibana highlights »

› ›

Elasticsearch highlights

edit

Elasticsearch highlights

edit

This list summarizes the most important enhancements in Elasticsearch 8.2. For the complete list, go to Elasticsearch release highlights.

NLP latency and throughput stats

edit

New statistics are available for the NLP inference to show how quickly it is working. The three new statistics are:

peak_throughput_per_minute
throughput_last_minute
average_inference_time_ms_last_minute

The aim is to provide an indication of whether inference is currently keeping up with requirements or the cluster needs to be scaled up to meet demand. The statistics for the last minute give quick feedback to show the effect of scaling the machine learning nodes.

Random sampler aggregation

edit

With the new random sampler aggregation, in technical preview, developers can exponentially accelerate their aggregations for calculations, with a slight trade off in accuracy, by randomly sampling documents in a statistically robust manner. The random sampler aggregation can be used to accelerate any application that utilizes aggregations for calculations.

« Observability highlights Kibana highlights »