不爲也 比不能也

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..

Elasticsearch is an open-source search engine built on top of Apache Lucene™, a full-text search-engine library. Lucene is arguably the most advanced, high-performance, and fully featured search engine library in existence today—both open source and proprietary.Elasticsearch는 Apache Lucene™을 기반으로 만들어진 검색 엔진이며, full-text 검색 엔진 라이브러리이다. Lucene은, Open Source와 상업용 양쪽 모두를 살펴보더라도, 오늘날 현존하는 가장 고급스러운, 고..

At the beginning of this chapter, we said that Elasticsearch can scale out to hundreds (or even thousands) of servers and handle petabytes of data. While our tutorial gave examples of how to use Elasticsearch, it didn’t touch on the mechanics at all. Elasticsearch is distributed by nature, and it is designed to hide the complexity that comes with being distributed.이 장을 시작하면서, Elasticsearch가 수백 개..

Whatever program we write, the intention is the same: to organize data in a way that serves our purposes. But data doesn’t consist of just random bits and bytes. We build relationships between data elements in order to represent entities, or things that exist in the real world. A name and an email address have more meaning if we know that they belong to the same person.어떤 program을 작성하더라도, 그 목표(목..

Elasticsearch is distributed. When documents are created, updated, or deleted, the new version of the document has to be replicated to other nodes in the cluster. Elasticsearch is also asynchronous and concurrent, meaning that these replication requests are sent in parallel, and may arrive at their destination out of sequence. Elasticsearch needs a way of ensuring that an older version of a docu..