# 支持参数yes(term存储), # with_positions(term + 位置), # with_offsets(term + 偏移量), # with_positions_offsets(term + 位置 + 偏移量) # 对快速高亮fast vector highlighter能提升性能,但开启又会加大索引体积,不适合大数据量用 } normalizer举例: { "settings": { "analysis": { "normalizer"...
除了公共属性外,基于字符串的字段还有私有属性 term_vector 是否计算该字段的Lucene词向量term vector no 默认值 yes with_offsets with_positions with_positions_offset analyzer 定义用于索引和搜索的分析器名称 默认为全局定义的分析器名称 index_analyzer 定义用于建立索引的分析器名称 serach_analyzer 查询 postion_o...
The fvh highlighte使用 the Lucene Fast Vector highlighter。 此高亮显示器可用于在映射中将term_vector设置为with_positions_offsets的字段。 The fvh highlighte: 可以使用boundary_scanner进行自定义。 需要将term_vector设置为with_positions_offsets,这会增加索引的大小 可以将来自多个字段的匹配组合成一个结果。
"token":"克", "start_offset": 6, "end_offset": 7, "type":"CN_WORD", "position": 5 }, { "token":"个", "start_offset": 9, "end_offset": 10, "type":"CN_CHAR", "position": 6 }, { "token":"烂摊子", "start_offset": 10, "end_offset": 13, "type":"CN_WORD", "...
{"type":"keyword"},"remark":{"type":"text","term_vector":"with_positions_offsets","analyzer":"ik_smart"},"signature":{"type":"text","term_vector":"with_positions_offsets","analyzer":"ik_smart"},"status":{:::}}},"settings":{"index":{"max_ngram_diff":"20","number_of_...
PUT /website { "mappings": { "article":{ "properties":{ "text":{ "type": "text", "term_vector": "with_positions_offsets", "store": "true", "analyzer" : "fulltext" } } } }, "settings": { "analysis": { "analyzer": { "fulltext":{ "type": "custom", "tokenizer": "wh...
"term_vector": "with_positions_offsets", "analyzer": "ik_max_word", "search_analyzer": "ik_max_word", "include_in_all": "true", "boost": 8}} }}' 3 index some docs curl -XPOST http://localhost:9200/ik_index/fulltext/1 -d'{"content":"美国留给伊拉克的是个烂摊子吗"}' ...
ik_smart: 会做最粗粒度的拆分，⽐如会将“×××国歌”拆分为“×××,国歌”。⼀：⾸先要准备环境 如果有ES环境可以跳过前两步，这⾥我假设你只有⼀台刚装好的CentOS6.X系统，⽅便你跑通这个流程。（1）安装jdk。$ wget http://download.oracle.com/otn-pub/java/jdk/8u111-b14/jdk-8u...
"term_vector": "with_positions_offsets", "indexAnalyzer": "ik", "searchAnalyzer": "ik", "include_in_all": "true", "boost": 8 } } } }' 3.index some docs curl -XPOST http://localhost:9200/index/fulltext/1 -d' {content:"美国留给伊拉克的是个烂摊子吗"} ...
执行搜索时,它将广播到所有索引/索引分片(副本之间的循环)。可以通过提供routing参数来控制将搜索哪些分片。例如,在索引book时,路由值可以是name。 代码语言:javascript 复制 POSTbook/english?routing=test{"name":"test","age":"1","book":"zhegnsh1正式"} ...