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..

Query-string search is handy for ad hoc searches from the command line, but it has its limitations (see Search Lite). Elasticsearch provides a rich, flexible, query language called the query DSL, whichallows us to build much more complicated, robust queries.query-string 검색은 command line에서 바로(ad hoc) 검색하기에 편리하다. 하지만 한계가 있다(Search Lite 참조). Elasticsearch는 풍부하고, 유연한, query DSL 이라는 query language를 제..

So far, we have learned how to use Elasticsearch as a simple NoSQL-style distributed document store. We can throw JSON documents at Elasticsearch and retrieve each one by ID. But the real power of Elasticsearch lies in its ability to make sense out of chaos — to turn Big Data into Big Information.지금까지, 간단한 NoSQL-style의 분산 document 저장소로서의 Elasticsearch를 사용하는 방법에 대해 배웠다. Elasticsearch에 JSON docume..

The query DSL is a flexible, expressive search language that Elasticsearch uses to expose most of the power of Lucene through a simple JSON interface. It is what you should be using to write your queries in production. It makes your queries more flexible, more precise, easier to read, and easier to debug.query DSL은 간단한 JSON interface를 이용해, Lucene을 100% 활용하기 위해, Elasticsearch가 사용하는 유연하고, 표현력 있는 검..

The DSL used by Elasticsearch has a single set of components called queries, which can be mixed and matched in endless combinations. This single set of components can be used in two contexts: filtering context and query context.elasticsearch에서 사용되는 DSL은"DSL (Domain Specific Language)"query라 불리는 component의 단일 집합을 가지는데, 이것은 무한한 조합으로 섞이고 일치될 수 있다. 이 단일 component 집합은 두 개의 context, filtering과 query c..