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distributed 2

1-04. Distributed Document Store

In the preceding chapter, we looked at all the ways to put data into your index and then retrieve it. But we glossed over many technical details surrounding how the data is distributed and fetched from the cluster. This separation is done on purpose; you don’t really need to know how data is distributed to work with Elasticsearch. It just works.이전 장에서, index에 데이터를 색인하고, 가져오는 모든 방법을 살펴보았다. 그러나, 데..

2.X/1. Getting Started 2017.10.01

1-09. Distributed Search Execution

Before moving on, we are going to take a detour and talk about how search is executed in a distributed environment. It is a bit more complicated than the basic create-read-update-delete(CRUD) requests that we discussed in Distributed Document Store.더 나아가기에 앞서, 분산 환경에서 검색을 실행하는 방법에 대해 이야기하려 한다. 이것은 Distributed Document Store에서 이야기했던, 기본적인 CRUD(create-read-update-delete) 보다 약간 더 복잡하다.Content Warni..

2.X/1. Getting Started 2017.09.30
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parent, Shard, index, replica, score, phrase, Size, Type, Mapping, Term, Filter, inverted, full-text, primary, Relevance, json, Cluster, Query, MATCH, cache,

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