Tech Lead, Elastic
Tech Lead, Elasticsearch
Adrien is a Lucene committer at The Apache Software Foundation and a software engineer at Elastic, where he works on improving Elasticsearch. He has worked with Apache Lucene for a decade. When he’s not tackling search-related problems from his home in Normandy, France, he enjoys horseback riding.
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.
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。