"tokenizer":"punctuation","filter":["lowercase","english_stop"]}},"tokenizer":{"punctuation":{"type":"pattern","pattern":"[ .,!?]"}},"char_filter":{"emoticons":{"type":"mapping","mappings":[":) => _happy_",":( => _sad_"]}},"filter":{"english...
Pattern Tokenizer The pattern tokenizer uses a regular expression to either split text into terms whenever it matches a word separator, or to capture matching text as terms.The default pattern is \W+, which splits text whenever it encounters non-word characters....
{"analyzer":"my_analyzer","text":"你就是个垃圾!滚"} Pattern Replace ##Pattern Replace Character Filter #17611001200DELETE my_index PUT my_index {"settings": {"analysis": {"char_filter": {"my_char_filter":{"type":"pattern_replace","pattern":"(\\d{3})\\d{4}(\\d{4})","repla...
Thechar_grouptokenizer breaks text into terms whenever it encounters a character which is in a defined set. It is mostly useful for cases where a simple custom tokenization is desired, and the overhead of use of thepatterntokenizeris not acceptable. ...
Elasticsearch version: 2.3.3 JVM version: openjdk 8 OS version: debian 8 Hi, i'm using a custom pattern tokenizer for an email field: index: analysis: tokenizer: alnum: type: pattern pattern: '[^a-zA-Z0-9_/]+' I search via: { "query": { ...
[elasticsearch笔记] Analysis - Tokenizer 文章目录 demo standard letter lowercase whitespace uax_url_email classic ngram edge_ngram keyword pattern char_group simple_pattern simple_pattern_split path_hierarchy demo standard The standard tokenizer provides grammar based tokenization (based on the Unicode ...
开始使用Elasticsearch 安装和设置 升级Elasticsearch 搜索你的数据 查询领域特定语言(Query DSL) SQL access(暂时不翻译) 聚合 脚本 映射 Text analysis Overview Concepts Configure text analysis Built-in analyzer reference Tokenizer reference Char Group Tokenizer ...
Simple Pattern Tokenizer The simple_pattern tokenizer uses a regular expression to capture matching text as terms. The set of regular expression features it supports is more limited than the pattern tokenizer, but the tokenization is generally faster....
The char_group tokenizer breaks text into terms whenever it encounters a character which is in a defined set. It is mostly useful for cases where a simple custom tokenization is desired, and the overhead of use of the pattern tokenizer is not acceptable.Configuration...