Finished 5.0

050_Search/00_Intro.md

@@ -2,59 +2,35 @@
 == Searching – the basic tools
 ## 搜索——基本的工具
 
-So far, we have learned how to use Elasticsearch as a simple NoSQL-style
-distributed document store -- we can throw JSON documents at Elasticsearch and
-retrieve each one by ID. But the real power of Elasticsearch lies in its
-ability to make sense out of chaos -- to turn Big Data into Big Information.
+到目前为止，我们已经学会了如何使用elasticsearch作为一个简单的NoSQL风格的分布式文件存储器——我们可以将一个JSON文档扔给Elasticsearch，也可以根据ID检索它们。但Elasticsearch真正强大之处在于可以从混乱的数据中找出有意义的信息——从大数据到全面的信息。
 
-至目前，我们已经学会了如何使用elasticsearch作为一个简单的NoSQL风格的分布式文件存储器——我们可以将一个JSON文档扔给Elasticsearch，也可以根据ID检索它们。
+这也是为什么我们使用结构化的JSON文档，而不是无结构的二进制数据。Elasticsearch不只会**存储(store)**文档，也会**索引(indexes)**文档内容来使之可以被搜索。
 
-This is the reason that we use structured JSON documents, rather than
-amorphous blobs of data.  Elasticsearch doesn't only _store_ the document, it
-also _indexes_ the content of the document in order to make it searchable.
-
-*Every field in a document is indexed and can be queried*.  And it's not just
-that. During a single query, Elasticsearch can use *all* of these indices, to
-return results at breath-taking speed.  That's something that you could never
-consider doing with a traditional database.
+**每个文档里的字段都会被索引并被查询**。而且不仅如此。在简单查询时，Elasticsearch可以使用**所有**的索引，以非常快的速度返回结果。这让你永远不必考虑传统数据库的一些东西。
 
 A _search_ can be:
+**搜索(search)**可以：
 
-* a structured query on concrete fields like `gender` or `age`, sorted by
-  a field like `join_date`, similar to the type of query that you could construct
-  in SQL
-
-* a full text query, which finds all documents matching the search keywords,
-  and returns them sorted by _relevance_
-
-* or a combination of the two
-
-While many searches will just work out of the box, to use Elasticsearch to
-its full potential you need to understand three subjects:
-
-[horizontal]
+* 在类似于`gender`或者`age`这样的字段上使用结构化查询，`join_date`这样的字段上使用排序，就像SQL的结构化查询一样。
+* 全文检索，可以使用所有字段来匹配关键字，然后按照**关联性(relevance)**排序返回结果。
+* 或者结合以上两条。
 
-_Mapping_::     how the data in each field is interpreted
-_Analysis_::    how full text is processed to make it searchable
-_Query DSL_::   the flexible, powerful query language used by Elasticsearch
+很多搜索都是开箱即用的，为了充分挖掘Elasticsearch的潜力，你需要理解以下三个概念：
 
-Each of the above is a big subject in its own right and we explain them in
-detail in <<search-in-depth>>. The chapters in this section will introduce the
-basic concepts of all three -- just enough to help you to get an overall
-understanding of how search works.
 
-We will start by explaining the `search` API in its simplest form.
+| 概念                            | 解释                                                                  |
+| ------------------------------- | ----------------------------------------- |
+| **映射(Mapping)**               | 数据在每个字段中的解释说明                                            |
+| **分析(Analysis)**              | 全文是如何处理的可以被搜索的                                           |
+| **领域特定语言查询(Query DSL)** | Elasticsearch使用的灵活的、强大的查询语言 |
 
-.Test data
 
-****
+以上提到的每个点都是一个巨大的话题，我们将在《深入搜索》一章阐述它们。本章节我们将介绍这三点的一些基本概念——仅仅帮助你大致了解搜索是如何工作的。
 
-The documents that we will use for test purposes in this chapter can be found
-in this gist: https://gist.github.com/clintongormley/8579281
+我们将使用最简单的形式开始介绍`search` API.
 
-You can copy the commands and paste them into your shell in order to follow
-along with this chapter.
+> ### 测试数据
 
-Alternatively, link:sense_widget.html?snippets/050_Search/Test_data.json[click here to open in Sense].
+> 本章节测试用的数据可以在这里被找到[https://gist.github.com/clintongormley/8579281](https://gist.github.com/clintongormley/8579281)
 
-****
+> 你可以把这些命令复制到终端中执行以便可以实践本章的例子。