preference 4

2014.10.15 - 번역 - Elasticsearch from the Top Down ...

UPDATE: This article refers to our hosted Elasticsearch offering by an older name, Found. Please note that Found is now known as Elastic Cloud.이 게시물은 기존에 Found라는 이름으로 제공된 Elasticsearch 서비스에 관한 것이다. Found은 이제 Elasticsearch Cloud로 알려져 있다.The previous article in this series, Elasticsearch from the Bottom Up, covered essential data structures within a single shard. In this article, we will look at t..

Blog 2019.01.06

5. Tune for search speed

Give memory to the filesystem cache Elasticsearch heavily relies on the filesystem cache in order to make search fast. In general, you should make sure that at least half the available memory goes to the filesystem cache so that Elasticsearch can keep hot regions of the index in physical memory.Elasticsearch는 search 속도를 빠르게 하기 위해, filesystem cache에 많이 의존한다. 일반적으로, Elasticsearch가 index 중 많이 사용하는 ..

3. Getting consistent scoring

The fact that Elasticsearch operates with shards and replicas adds challenges when it comes to having good scoring. Elasticsearch가 shard, relpica와 함께 동작한다는 사실은 score 계산에 어려움이 있다는 것을 의미한다. Scores are not reproducible Say the same user runs the same request twice in a row and documents do not come back in the same order both times, this is a pretty bad experience isn’t it? Unfortunately this is so..

1-09-3. Search Options

A few optional query-string parameters can influence the search process.검색 프로세스에 영향을 미칠 수 있는, 몇 개의 선택적 query-string 매개변수가 있다.preferenceeditThe preference parameter allows you to control which shards or nodes are used to handle the search request. It accepts values such as _primary, _primary_first, _local, _only_node:xyz, _prefer_node:xyz, and _shards:2,3, which are explained in detail on the sea..