## Dis Max Query
此查询生成由其子查询生成的文档的并集,并为每个文档分配由任意子查询生成的该文档的最大分数,以及任何其他匹配子查询的分数增量即 **tie breaking** 属性。
当在具有不同增压因子的多个字段中搜索字词(使得字段不能等价地组合到单个搜索字段中)时,这是有用的。我们希望主分数是与最高提升相关联的分数,而不是字段分数的总和(如布尔查询将给出的)。如果查询是“albino elephant”,这确保匹配一个字段的“albino”和匹配另一个字段的“elephant”得到比匹配两个字段的“albino”更高的分数。为了得到这个结果,使用** Boolean Query** 和 **DisjunctionMax Query** :在**DisjunctionMaxQuery** 的每个字段中搜索每个术语,而这些**DisjunctionMaxQuery** 的集合组合成一个 **BooleanQuery** 。
**tie breaker** 属性允许将会使多个字段中包括相同条款的结果,比仅在多个字段中的最佳字段里包括该条款的结果更好地判断,而不会将其与多个字段中的两个不同条款的 **better case** 相混淆。默认***tie_breaker* **为0.0 。
该查询映射到 **Lucene** 的 **DisjunctionMaxQuery** 。
|
`GET /_search`
`{`
`"query"``: {`
`"dis_max"` `: {`
`"tie_breaker"` `: ``0.7``,`
`"boost"` `: ``1.2``,`
`"queries"` `: [`
`{`
`"term"` `: { ``"age"` `: ``34` `}`
`},`
`{`
`"term"` `: { ``"age"` `: ``35` `}`
`}`
`]`
`}`
`}`
`}`
|
- 入门
- 基本概念
- 安装
- 探索你的集群
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- analyzer(分析器)
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- boost(提升)
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- fields(字段)
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- search_analyzer (搜索分析器)
- similarity (匹配方法)
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- Character Filters(字符过滤器)
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- 模块
- Cluster
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