From 80c804bfb33474eae1d9dd51353ac4fb00e5bd0c Mon Sep 17 00:00:00 2001 From: richardwei2008 Date: Sat, 16 Apr 2016 10:31:55 +0800 Subject: [PATCH] chapter16_part2: /130_Partial_Matching/05_Postcodes.asciidoc MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 初译 --- 130_Partial_Matching/05_Postcodes.asciidoc | 25 ++++++++++------------ 1 file changed, 11 insertions(+), 14 deletions(-) diff --git a/130_Partial_Matching/05_Postcodes.asciidoc b/130_Partial_Matching/05_Postcodes.asciidoc index d3a47a907..18b27e22f 100644 --- a/130_Partial_Matching/05_Postcodes.asciidoc +++ b/130_Partial_Matching/05_Postcodes.asciidoc @@ -1,22 +1,19 @@ -=== 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] -------------------------------------------------- @@ -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] -------------------------------------------------- @@ -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。