with_positions_offsets:存储完整的term vector信息,包括field terms、position、offset信息。 term vector的信息生成有两种方式:index-time和query-time。index-time即建立索引时生成term vector信息,query-time是在查询过程中实时生成term vector信息,前者以空间换时间,后者以时间换空间。 term vector有什么作用? term v...
index-time,在mapping里配置,建立索引的时候,就直接给你生成这些term和field的统计信息,如果term_vector设置为with_positions_offsets,索引所占的空间是不设置term vector时的2倍。 query-time,你之前没有生成过任何的Term vector信息,然后在查看term vector的时候,直接就可以看到了,会on the fly,现场计算出各种统计...
"term_vector": "with_positions_offsets_payloads", "store" : true, "analyzer" : "fulltext_analyzer" }, "fullname": { "type": "text", "analyzer" : "fulltext_analyzer" } } } }, "settings" : { "index" : { "number_of_shards" : 1, "number_of_replicas" : 0 }, "analysis"...
"offsets" : true, "positions" : true, "term_statistics" : true, "field_statistics" : true } 一般来说,如果条件允许,你就用query time的term vector就可以了,你要探查什么数据,现场去探查一下就好了 4、手动指定doc的term vector GET /my_index/my_type/_termvectors { "doc" : { "fullname" :...
The fast vector highlighter requireswith_positions_offsets.The term vectors APIcan retrieve whatever is stored. Settingwith_positions_offsetswill double the size of a field’s index. PUT my_index { "mappings": { "properties": { "text": { "type": "text", "term_vector": "with_positions...
term vector使用建议 有两种方式可以得到term vector信息,一种是像上面案例,建立时指定,另一种是直接查询时生成 index-time,在mapping里配置,建立索引的时候,就直接给你生成这些term和field的统计信息,如果term_vector设置为with_positions_offsets,索引所占的空间是不设置term vector时的2倍。
1、term vector介绍 获取document中的某个field内的各个term的统计信息 term information: term frequency in the field, term positions, start and end offsets, term payloads term statistics: 设置term_statistics=true; total term frequency, 一个term在所有document中出现的频率; document frequency,有多少...
curl-s-XPUT'http://localhost:9200/twitter/'-d '{"mappings":{"tweet":{"properties":{"text":{"type":"string","term_vector":"with_positions_offsets_payloads","store":true,"analyzer":"fulltext_analyzer"},"fullname":{"type":"string","term_vector":"with_positions_offsets_payloads",...
9200/twitter/' -d '{"mappings": {"tweet": {"properties": {"text": {"type":"string","term_vector":"with_positions_offsets_payloads","store":true,"analyzer":"fulltext_analyzer"},"fullname": {"type":"string","term_vector":"with_positions_offsets_payloads","analyzer":"fulltext_...
WITH_POSITIONS_OFFSETS ); type.setStoreTermVectorPositions( termVector == SerializableTermVector.WITH_POSITIONS || termVector == SerializableTermVector.WITH_POSITIONS_OFFSETS ); type.setOmitNorms( omitNorms ); type.setIndexOptions( omitTermFreqAndPositions ? IndexOptions.DOCS : IndexOptions.DOCS_...