- _search
- query
- match
- 理解如何分词的, 会对field分词再查询
- field1:
- query: “a b”
- operator: “and”
- minimum_should_match: “75%”
- match_all
- multi_match
- query: “a b”
- fields: [“field1”, “field2”]
- match_phrase
- 所有term命中,并且位置邻接
- field1: “a b”
- term
- terms
- range
- exists:
- missing:
- regexp
- wildcard
- prefix
- bool
- 分值计算来自must和should语句, must_not不影响
- must
- must_not
- should: []
- minimum_should_match: 2
- filtered
- query
- filter:
- ilter的field会缓存起来
- geo, and, or, not, script, numeric_range的默认不缓存
- term:
- field1: “a”
- _cache_key: “k1”
- _cache: false
- range:
- aggs
- diy1:
- diy2:
- terms:
- 聚合查询中的所有term
- field: “field1”
- post_filter:
- sort: []
- 默认升序,_score默认降序
- field1
- order: “desc”
- mode: “min”
- 对数组元素排序时的取值, 还有max, sum, avg, median
- missing: “field1”
- “_score”,
- highlight
- pre_tags: [""]
- post_tags: [""]
- fields:
- simple_query_string:
- query: ""
- analyzer:
- fields: [“body^5”, “_all”]
- default_operator: “and”
- mappings
- type1:
- dynamic: true
- 默认true,自动给未知field建索引
- false: 忽略未知field, strict: 未知field报错
- include_in_all: false
- _all:
- meta field
- enabled: false
- analyzer:
- term_vector: no
- store: “false”
- _source:
- properties:
- field1:
- type: “text”
- text分词,keyword不分词,numeric, date, string
- multi_field可定义多个field
- fields:[]
- store: “yes”
- index: “not_analyzed”
- analyzer: “ik_max_word”
- search_analyzer: “ik_max_word”
- include_in_all: “true”
- boost: 8
- aliases
- alias1:
- filter:
- routing: “kimchy”
- settings
- 有些设置不能动态修改
- index:
- number_of_shards: 3
- number_of_replicas: 2
- max_result_window: 10000
- analysis:
- tokenizer:
- 处理原始输入
- tokenizer1
- type: “pinyin”
- pinyin_field1:
- filter:
- tokenizer作为输入
- filter1:
- type: “pinyin”
- pinyin_field1:
- analyzer:
- 组合tokenizer和filter
- analyzer1:
- type: “custom”
- tokenizer: “ik_smart”
- filter: [“filter1”, “word_delimiter”]