Analysis

索引解析模块可以看作是一个解析器的登记处，它是可配置的。而解析器则是用来，当一个文档被索引后，用来分割被索引（被索引）的字段的，它也可以用来处理查询字符串。它映射到 Lucene 的解析器。

解析器由单个 分词器 和零或多个标记过滤器（TokenFilters）。在分词器的前面可能还有一个或多个 字符过滤器。解析模块允许你使用合理的名字来命名标记过滤器，分词器和解析器，这些名字会在映射的定义信息或者一些 API 中被引用。解析模块会自动注册（如果你没有额外地进行定义的话）内置的解析器，标记过滤器和分词器。

下面是一个配置信息的范例：

index :
    analysis :
        analyzer :
            standard :
                type : standard
                stopwords : [stop1, stop2]
            myAnalyzer1 :
                type : standard
                stopwords : [stop1, stop2, stop3]
                max_token_length : 500
            # configure a custom analyzer which is
            # exactly like the default standard analyzer
            myAnalyzer2 :
                tokenizer : standard
                filter : [standard, lowercase, stop]
        tokenizer :
            myTokenizer1 :
                type : standard
                max_token_length : 900
            myTokenizer2 :
                type : keyword
                buffer_size : 512
        filter :
            myTokenFilter1 :
                type : stop
                stopwords : [stop1, stop2, stop3, stop4]
            myTokenFilter2 :
                type : length
                min : 0
                max : 2000

向后兼容

所有的解析器，分词器和标记过滤器都可以用版本号为参数来进行控制，使得它们拥有对应 Lucene 版本的行为特征。支持的版本有：3.0-3.6，4.0-4.3（默认采用最高的版本）。

The index analysis module acts as a configurable registry of Analyzers that can be used in order to both break indexed (analyzed) fields when a document is indexed and process query strings. It maps to the Lucene Analyzer.

Analyzers are composed of a single Tokenizer and zero or more TokenFilters. The tokenizer may be preceded by one or more CharFilters. The analysis module allows one to register TokenFilters, Tokenizers and Analyzers under logical names that can then be referenced either in mapping definitions or in certain APIs. The Analysis module automatically registers (if not explicitly defined) built in analyzers, token filters, and tokenizers.

Here is a sample configuration:

index :
    analysis :
        analyzer :
            standard :
                type : standard
                stopwords : [stop1, stop2]
            myAnalyzer1 :
                type : standard
                stopwords : [stop1, stop2, stop3]
                max_token_length : 500
            # configure a custom analyzer which is
            # exactly like the default standard analyzer
            myAnalyzer2 :
                tokenizer : standard
                filter : [standard, lowercase, stop]
        tokenizer :
            myTokenizer1 :
                type : standard
                max_token_length : 900
            myTokenizer2 :
                type : keyword
                buffer_size : 512
        filter :
            myTokenFilter1 :
                type : stop
                stopwords : [stop1, stop2, stop3, stop4]
            myTokenFilter2 :
                type : length
                min : 0
                max : 2000

Backwards compatibility

All analyzers, tokenizers, and token filters can be configured with a version parameter to control which Lucene version behavior they should use. Possible values are: 3.0 - 3.6, 4.0 - 4.3 (the highest version number is the default option).