{"action":"created","comment":{"url":"https://api.github.com/repos/elasticsearch-cn/elasticsearch-definitive-guide/pulls/comments/89670174","pull_request_review_id":10213591,"id":89670174,"diff_hunk":"@@ -1,44 +1,25 @@\n [[docvalues-intro]]\n-=== Doc Values Intro\n+=== 文档值引言\n \n-Our final topic in this chapter is about an internal aspect of Elasticsearch.\n-While we don't demonstrate any new techniques here, doc values are an\n-important topic that we will refer to repeatedly, and is something that you\n-should be aware of.(((\"docvalues\")))\n+本章的最后一个话题是关于 ElasticSearch 内部的一些运行情况。在这里我们先不介绍新的知识点，文档值是我们要经常重复的内容，并且是我们应当明确的。(((\"docvalues\")))\n \n-When you sort on a field, Elasticsearch needs access to the value of that\n-field for every document that matches the query.(((\"inverted index\", \"sorting and\")))  The inverted index, which\n-performs very well when searching, is not the ideal structure for sorting on\n-field values:\n+当你对一个字段进行排序时，ElasticSearch 需要访问每个匹配到的文档得到相关的值。倒排索引在用于搜索时是非常卓越的，但是在字段值排序时却不是理想的结构。\n \n-* When searching, we need to be able to map a term to a list of documents.\n+* 当搜索的时候，我们需要一个检索词对应的的文档列表。\n \n-* When sorting, we need to map a document to its terms. In other words, we\n-  need to ``uninvert'' the inverted index.\n+* 当排序的时候，我们需要一个文档对应的检索词。换句话说，我们需要  ``倒置`` 倒排索引。\n \n-This ``uninverted'' structure is often called a ``column-store'' in other systems.\n-Essentially, it stores all the values for a single field together in a single\n-column of data, which makes it very efficient for operations like sorting.\n+``倒置`` 结构在其他系统中经常被称作 ``列存储`` 。实质上，它将所有单字段的值存储在单数据列中，这使得对其进行操作是十分高效的，例如排序。\n \n-In Elasticsearch, this column-store is known as _doc values_, and is enabled\n-by default. Doc values are created at index-time: when a field is indexed, Elasticsearch\n-adds the tokens to the inverted index for search.  But it also extracts the terms\n-and adds them to the columnar doc values.\n+在 Elasticsearch ，列存储被默认支持，且被理解为 _文档值_ 。文档值在索引时被创建：当一个字段被索引时， Elasticsearch 把 tokens 加入到倒排索引用于搜索，同时也会提取检索词并将它们加到列文档值中。","path":"056_Sorting/95_Docvalues.asciidoc","position":33,"original_position":33,"commit_id":"5d387e31dd4d7ffd84ad0ed0c89044c4a2ccc78e","original_commit_id":"5d387e31dd4d7ffd84ad0ed0c89044c4a2ccc78e","user":{"login":"qindongliang","id":7587994,"avatar_url":"https://avatars.githubusercontent.com/u/7587994?v=3","gravatar_id":"","url":"https://api.github.com/users/qindongliang","html_url":"https://github.com/qindongliang","followers_url":"https://api.github.com/users/qindongliang/followers","following_url":"https://api.github.com/users/qindongliang/following{/other_user}","gists_url":"https://api.github.com/users/qindongliang/gists{/gist_id}","starred_url":"https://api.github.com/users/qindongliang/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/qindongliang/subscriptions","organizations_url":"https://api.github.com/users/qindongliang/orgs","repos_url":"https://api.github.com/users/qindongliang/repos","events_url":"https://api.github.com/users/qindongliang/events{/privacy}","received_events_url":"https://api.github.com/users/qindongliang/received_events","type":"User","site_admin":false},"body":"改为\r\n在Elasticsearch中，doc value就是一种列式存储结构，默认情况下每个字段的doc value都是激活的，doc value是在索引时创建的，当字段索引时，Elasticsearch为了能够快速检索，会把字段的值加入倒排索引中，同时它也会存储该字段的doc value。","created_at":"2016-11-26T11:15:45Z","updated_at":"2016-11-26T11:27:19Z","html_url":"https://github.com/elasticsearch-cn/elasticsearch-definitive-guide/pull/376#discussion_r89670174","pull_request_url":"https://api.github.com/repos/elasticsearch-cn/elasticsearch-definitive-guide/pulls/376","_links":{"self":{"href":"https://api.github.com/repos/elasticsearch-cn/elasticsearch-definitive-guide/pulls/comments/89670174"},"html":{"href":"https://github.com/elasticsearch-cn/elasticsearch-definitive-guide/pull/376#discussion_r89670174"},"pull_request":{"href":"https://api.github.com/repos/elasticsearch-cn/elasticsearch-definitive-guide/pulls/376"}}},"pull_request":{"url":"https://api.github.com/repos/elasticsearch-cn/elasticsearch-definitive-guide/pulls/376","id":95284677,"html_url":"https://github.com/elasticsearch-cn/elasticsearch-definitive-guide/pull/376","diff_url":"https://github.com/elasticsearch-cn/elasticsearch-definitive-guide/pull/376.diff","patch_url":"https://github.com/elasticsearch-cn/elasticsearch-definitive-guide/pull/376.patch","issue_url":"https://api.github.com/repos/elasticsearch-cn/elasticsearch-definitive-guide/issues/376","number":376,"state":"open","locked":false,"title":"chapter8_part4_x:/056_Sorting/95_Docvalues.asciidoc","user":{"login":"pengqiuyuan","id":4953205,"avatar_url":"https://avatars.githubusercontent.com/u/4953205?v=3","gravatar_id":"","url":"https://api.github.com/users/pengqiuyuan","html_url":"https://github.com/pengqiuyuan","followers_url":"https://api.github.com/users/pengqiuyuan/followers","following_url":"https://api.github.com/users/pengqiuyuan/following{/other_user}","gists_url":"https://api.github.com/users/pengqiuyuan/gists{/gist_id}","starred_url":"https://api.github.com/users/pengqiuyuan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pengqiuyuan/subscriptions","organizations_url":"https://api.github.com/users/pengqiuyuan/orgs","repos_url":"https://api.github.com/users/pengqiuyuan/repos","events_url":"https://api.github.com/users/pengqiuyuan/events{/privacy}","received_events_url":"https://api.github.com/users/pengqiuyuan/received_events","type":"User","site_admin":false},"body":"\r\n原 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