不爲也 比不能也

string fields replaced by text/keyword fieldseditThe string field datatype has been replaced by the text field for full text analyzed content, and the keyword field for not-analyzed exact string values. For backwards compatibility purposes, during the 5.x series:string field datatype이 full text analyzed 내용에 대해서는 text field로, not-analyzed exact string 값에 대해서는 keyword field로 변경되었다. 이전 version과의 호환..

There are two forms of the search API: a "lite" query-string version that expects all its parameters to be passed in the query string, and the full request body version that expects a JSON request body and uses a rich search language called the query DSL.search API에는 두 가지 형식이 있다. 하나는 query-string 의 "아류(lite)" 버전이다. 이 버전은 모든 매개변수가 query string에 전달된다. 다른 하나는 full request body 버전이다. 이 버전은 JSON requ..

While playing around with the data in our index, we notice something odd. Something seems to be broken: we have 12 tweets in our indices, and only one of them contains the date 2014-09-15, but have a look at the total hits for the following queries:index에 있는 데이터를 살펴보다 보면, 이상한 점을 발견할 수 있다. 뭔가 깨진 것 같다. index에는 12개의 tweet이 있다. 그 중의 단 하나만 2014-09-15 를 포함하고 있다. 그런데 아래 query의 total hits를 보면GET /_searc..

The uppermost level of a mapping is known as the root object. It may contain the following:mapping의 최상위 단계는 root object 로 알려져 있다. 아래와 같은 것을 포함하고 있다.A properties section, which lists the mapping for each field that a document may containdocument가 가지게 될, 각 field의 mapping을 나열하는 properties 부분.Various metadata fields, all of which start with an underscore, such as _type, _id, and _source_type, _id, _..

Often, all types in an index share similar fields and settings. It can be more convenient to specify these common settings in the _default_ mapping, instead of having to repeat yourself every time you create a new type. The _default_ mapping acts as a template for new types. All types createdafter the _default_ mapping will include all of these default settings, unless explicitly overridden in t..

In Metadata: _all Field, we explained that the special _all field indexes the values from all other fields as one big string. Having all fields indexed into one field is not terribly flexible, though. It would be nice to have one custom _all field for the person’s name, and another custom _all field for the address.Metadata: _all Field에서, 하나의 큰 string으로 다른 모든 field의 값을 색인한 특별한 _all field를 설명한 바 ..

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 ..