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 7.10 和 Lucene 8.7 通过增强跨文档重复数据的检测，显著改进了索引压缩。压缩效率提升高达 10%，即刻升级，便可开始节省存储成本。

相比之前的版本，Elasticsearch 7.7 使用的堆内存要少得多，这就使 Elasticsearch 集群的稳定性得以提升，并让存储大量数据的成本实现下降。

Elasticsearch 7.0 弃用了接受类型的 API，引入了新的无类型 API，并移除了对 _default_ 映射的支持。