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..

Fuzzy matching treats two words that are "fuzzily" similar as if they were the same word. First, we need to define what we mean by fuzziness.퍼지 일치(fuzzy matching) 는 두 단어가 동일한 단어인 것처럼, "애매하게(fuzzily)" 유사한 두 단어를 다룬다. 먼저, fuzziness 의 의미를 정의해야 한다.In 1965, Vladimir Levenshtein developed the Levenshtein distance, which measures the number of single-character edits required to transform one word into t..

The fuzzy query is the fuzzy equivalent of the term query. You will seldom use it directly yourself, but understanding how it works will help you to use fuzziness in the higher-level match query.fuzzy query는 term query와 어떤 면에서 유사하다. 그것을 직접 사용할 리는 거의 없을 것이다. 그러나, 그것이 동작하는 방법을 이해하면, 높은 수준의 match query에서, fuzziness를 사용하는데 도움이 될 것이다.To understand how it works, we will first index some documents:그것이 ..