个人网站模板 html5,wordpress生成tags页面,网站的链接建设,网站屏蔽ipelasticssearch提供了CompletionSuggester查询来实现自动补全功能。这个查询会匹配以用户输入内容开头的词条并返回。为了提高补全查询效率#xff0c;对于文档中字段的类型有一些约束#xff1a; 查询类型必须是#xff1a;completion 字段内容是多个补全词条形成的数组
P…
elasticssearch提供了CompletionSuggester查询来实现自动补全功能。这个查询会匹配以用户输入内容开头的词条并返回。为了提高补全查询效率对于文档中字段的类型有一些约束 查询类型必须是completion 字段内容是多个补全词条形成的数组
PUT /test2
{mappings: {properties: {title:{type: completion #创建字段类型的时候只能是completion}}}
}POST /test2/_doc/1
{title:[Sony, WH-1000XM3] #字段的内容是多词条形成的数组
}POST test2/_doc/2
{title: [SK-II, PITERA]
}
POST test2/_doc/3
{title: [Nintendo, switch]
}# 查询语法自动补全
GET /test2/_search
{suggest: {titleSuggest: { #查询的名称text: So, #查询的内容completion: { #查询补全的类型field: title, #字段类型skip_duplicates: true, #跳过重复的词条size: 10 #查询的大小}}}
}
完成一个hotel酒店的es库创建创建了两个自定义的分词器
PUT /hotel
{settings: {analysis: {analyzer: {text_anlyzer: {tokenizer: ik_max_word,filter: py},completion_analyzer: {tokenizer: keyword,filter: py}},filter: {py: {type: pinyin,keep_full_pinyin: false,keep_joined_full_pinyin: true,keep_original: true,limit_first_letter_length: 16,remove_duplicated_term: true,none_chinese_pinyin_tokenize: false}}}},mappings: {properties: {id:{type: keyword},name:{type: text,analyzer: text_anlyzer,search_analyzer: ik_smart,copy_to: all},address:{type: keyword,index: false},price:{type: integer},score:{type: integer},brand:{type: keyword,copy_to: all},city:{type: keyword},starName:{type: keyword},business:{type: keyword,copy_to: all},location:{type: geo_point},pic:{type: keyword,index: false},all:{type: text,analyzer: text_anlyzer,search_analyzer: ik_smart},suggestion:{type: completion,analyzer: completion_analyzer,search_analyzer: ik_smart # 使用这个为了拼音和汉字都可以使用而不只是拼音}}}
}
java代码查询 Testpublic void completionTest() throws IOException {SearchRequest request new SearchRequest(hotel);request.source().suggest(new SuggestBuilder().addSuggestion(suggestions,SuggestBuilders.completionSuggestion(suggestion).prefix(火).size(10).skipDuplicates(true)));SearchResponse response client.search(request, RequestOptions.DEFAULT);Suggest suggest response.getSuggest();CompletionSuggestion suggestions suggest.getSuggestion(suggestions);ListCompletionSuggestion.Entry.Option options suggestions.getOptions();for (CompletionSuggestion.Entry.Option option : options) {String string option.getText().string();System.out.println(string);}}
