Apache Lucene is combining two optimizations for evaluating disjunctive queries, bringing significant speedups to top-k queries, especially with many terms and/or high-frequency terms.

Elasticsearch 8.9 introduces optimizations to cardinality aggregations by filtering out documents whose value has already been collected.

There are different ways to implement a vector database, which have different trade-offs. In this blog, you'll learn more about how vector search has been integrated into Elastisearch and the trade-offs that we made.

Data ingestion involves a lot of things that usually take a non-negligible amount of time. Fortunately, we've got improvements in 8.6, 8.7, and 8.8, which enabled some good speedups for end-to-end ingestion.

Elasticsearch 7.7에서는 이전 버전에서보다 훨씬 더 적은 힙 메모리를 사용하게 되며, 따라서 Elasticsearch 클러스터 안정성이 개선되고 대량의 데이터를 저장하는 비용이 절약됩니다.

Elasticsearch 7.0에서는 형식을 허용하는 API의 사용을 중단하고, 새로운 무형식 API를 도입했으며, _default_ 매핑에 대한 지원을 폐지했습니다.