不爲也 比不能也

Of course, the bool query isn’t restricted to combining simple one-word match queries. It can combine any other query, including other bool queries. It is commonly used to fine-tune the relevance _score for each document by combining the scores from several distinct queries.물론, bool query는, 간단한 단일 단어(one-word) match query를 조합하는데 있어, 제한이 없다. 다른 bool query는 물론이고, 다른 어떤 query와도 조합할 수 있다. 여러 별개의 que..

The simplest multifield query to deal with is the one where we can map search terms to specific fields. If we know that War and Peace is the title, and Leo Tolstoy is the author, it is easy to write each of these conditions as a match clause and to combine them with a bool query:가장 간단한 다중 field query는, 특정 field에 검색 조건을 mapping 하는 것이다. War and Peace 가 title이고, Leo Tolstoy가 author 라는 것을 안다면, match..

The multi_match query provides a convenient shorthand way of running the same query against multiple fields.multi_match query는, 여러 field에 동일한 query를 실행하는, 아주 편리한 query이다.There are several types of multi_match query, three of which just happen to coincide with the three scenarios that we listed in Know Your Data: best_fields, most_fields, and cross_fields.multi_match query는 여러 가지 형태가 있다. Know You..

Full-text search is a battle between recall—returning all the documents that are relevant—and precision—not returning irrelevant documents. The goal is to present the user with the most relevant documents on the first page of results.full-text 검색은 recall(적합한 document 모두를 반환하는)과 정확성(precision)(부적합한 document를 반환하지 않는)의 전쟁이다. 결과의 첫 번째 page에 가장 적합한 document를 사용자에게 제시하는 것이 목표이다.To improve recall, we ..

The custom _all approach is a good solution, as long as you thought about setting it up before you indexed your documents. However, Elasticsearch also provides a search-time solution to the problem: the multi_match query with type cross_fields. The cross_fields type takes a term-centric approach, quite different from the field-centric approach taken by best_fields and most_fields. It treats all ..

In Prioritizing Clauses, we explained how you could use the boost parameter at search time to give one query clause more importance than another. For instance:Prioritizing Clauses에서, 어떤 query 절이 다른 것보다 더 중요하다는 의미로, 검색 시에 boost 매개변수를 사용하는 방법을 설명한 바 있다. 예를 들면,GET /_search { "query": { "bool": { "should": [ { "match": { "title": { "query": "quick brown fox", "boost": 2 } } }, { "match": { "content"..

Sometimes we just don’t care about TF/IDF. All we want to know is that a certain word appears in a field. Perhaps we are searching for a vacation home and we want to find houses that have as many of these features as possible:TF/IDF에 관계없이, 어떤 field에 특정 단어가 나타나는지 알고 싶을 경우가 있다. 휴가용 별장을 검색하고 있고, 가능한 한 많은 기능(wifi, 정원, 풀장 등)을 가진 집을 찾고 있다면 말이다.WiFiGardenPoolThe vacation home documents look something l..