不爲也 比不能也

I remember a couple years ago I was at a convention talking to folks about Elasticsearch or Lucene and one of them said something like "Everyone knows that if you really want to search fast you need to just use term queries." He was certainly right about term queries being fast but I really wanted to run some numbers and see just how right he was. And that felt like a good time to write a blog p..

A number of changes have been made to mappings to remove ambiguity and to ensure that conflicting mappings cannot be created.모호함을 제거하고, mapping의 충돌이 일어나지 않도록 하기 위해, mapping에 많은 변경이 있었다.One major change is that dynamically added fields must have their mapping confirmed by the master node before indexing continues. This is to avoid a problem where different shards in the same index dynamically add..

The wildcard query is a low-level, term-based query similar in nature to the prefix query, but it allows you to specify a pattern instead of just a prefix. It uses the standard shell wildcards: ?matches any character, and * matches zero or more characters.wildcard query는 prefix query와 근본적으로 유사한 low-level의 단어 기반의 query이다. 그러나, 이것은 단지 prefix가 아닌 pattern을 지정할 수 있다. 이것은 표준 shell wildcard를 사용한다. ? 는 ..

Leaving postcodes behind, let’s take a look at how prefix matching can help with full-text queries.Users have become accustomed to seeing search results before they have finished typing their query—so-called instant search, or search-as-you-type. Not only do users receive their search results in less time, but we can guide them toward results that actually exist in our index.우편번호를 뒤로 하고, prefix ..