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chapter16_part2: /130_Partial_Matching/05_Postcodes.asciidoc #102

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25 changes: 11 additions & 14 deletions 130_Partial_Matching/05_Postcodes.asciidoc
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Original file line number Diff line number Diff line change
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=== Postcodes and Structured Data
=== 邮编与结构化数据

We will use United Kingdom postcodes (postal codes in the United States) to illustrate how((("partial matching", "postcodes and structured data"))) to use partial matching with
structured data. UK postcodes have a well-defined structure. For instance, the
postcode `W1V 3DG` can((("postcodes (UK), partial matching with"))) be broken down as follows:
我们会使用美国目前使用的邮编形式（United Kingdom postcodes 标准）来说明如何用部分匹配查询结构化数据。((("partial matching", "postcodes and structured data")))这种邮编形式有很好的结构定义。例如，邮编 `W1V 3DG` 可以分解成如下形式：((("postcodes (UK), partial matching with")))

* `W1V`: This outer part identifies the postal area and district:
* `W1V` ：这是邮编的外部，它定义了邮件的区域和行政区：

** `W` indicates the area (one or two letters)
** `1V` indicates the district (one or two numbers, possibly followed by a letter)
** `W` 代表区域（ 1 或 2 个字母）
** `1V` 代表行政区（ 1 或 2 个数字，可能跟着一个字符）

* `3DG`: This inner part identifies a street or building:
* `3DG` ：内部定义了街道或建筑：

** `3` indicates the sector (one number)
** `DG` indicates the unit (two letters)
** `3` 代表街区区块（ 1 个数字）
** `DG` 代表单元（ 2 个字母）


Let's assume that we are indexing postcodes as exact-value `not_analyzed`
fields, so we could create our index as follows:
假设将邮编作为 `not_analyzed` 的精确值字段索引，所以可以为其创建索引，如下：

[source,js]
--------------------------------------------------
Expand All @@ -36,7 +33,7 @@ PUT /my_index
--------------------------------------------------
// SENSE: 130_Partial_Matching/10_Prefix_query.json

And index some ((("indexing", "postcodes")))postcodes:
然后索引一些邮编：((("indexing", "postcodes")))

[source,js]
--------------------------------------------------
Expand All @@ -57,4 +54,4 @@ PUT /my_index/address/5
--------------------------------------------------
// SENSE: 130_Partial_Matching/10_Prefix_query.json

Now our data is ready to be queried.
现在这些数据已可查询。