es7 學習 - JavaShuo

如下分爲索引文檔(insert) 和查詢文檔(select)segmentfault

1 一個index只有一個typeapp

索引文檔時,使用 _doc來代替typeui

PUT /megacorp/_doc/3 { "first_name" :  "Douglas", "last_name" :   "Fir", "age" :         35, "about":        "I like to build cabinets", "interests":  [ "forestry" ] }

查詢某一條文檔this

GET /megacorp/_doc/3

查詢姓smith的spa

GET /megacorp/_search?q=last_name:Smith

2 查詢姓smith的,並大於30歲的 DSL 1使用 a and b 2查詢a,過濾b.net

POST /megacorp/_search { "query": { "bool": { "must": [ { "match": { "last_name": "Smith" } }, { "range": { "age": { "gt": 30 } } } ] } } }

POST /megacorp/_search { "query": { "bool": { "must": [ { "match": { "last_name": "Smith" } } ], "filter": { "range": { "age": { "gt": 30 } } } } } }

3短語搜索, 包含關鍵字的所有分詞rest

https://blog.csdn.net/sinat_29581293/article/details/81486761code

GET /megacorp/_search { "query" : { "match_phrase": { "about" : "rock climbing" } } }

4查看關鍵字分詞 standard標準分詞漢字分爲每一個字,英文分爲每一個單詞 ,ik分詞有 ik_smart 和ik_max_wordblog

GET /megacorp/_analyze { "text": ["康師傅","rock climbing"], "analyzer": "standard" }

{
  "tokens" : [
    {
      "token" : "康",
      "start_offset" : 0,
      "end_offset" : 1,
      "type" : "<IDEOGRAPHIC>",
      "position" : 0
    },
    {
      "token" : "師",
      "start_offset" : 1,
      "end_offset" : 2,
      "type" : "<IDEOGRAPHIC>",
      "position" : 1
    },
    {
      "token" : "傅",
      "start_offset" : 2,
      "end_offset" : 3,
      "type" : "<IDEOGRAPHIC>",
      "position" : 2
    },
    {
      "token" : "rock",
      "start_offset" : 4,
      "end_offset" : 8,
      "type" : "<ALPHANUM>",
      "position" : 103
    },
    {
      "token" : "climbing",
      "start_offset" : 9,
      "end_offset" : 17,
      "type" : "<ALPHANUM>",
      "position" : 104
    }
  ]
}

　　5查看某個字段在索引文檔時分詞結果索引

GET /test/_analyze { "field": "t_name", "text": ["康師傅","rock climbing"], }

　　6 查看文檔字段 ,t_name字段在索引文檔時使用ik_max_word分詞,查詢文檔時使用ik_smart分詞

https://segmentfault.com/a/1190000012553894?utm_source=tag-newest

http://localhost:9200/test/_mapping

t_name: {
type: "text",
similarity: "BM25",
fields: {
keyword: {
type: "keyword",
ignore_above: 256
}
},
analyzer: "ik_max_word",
search_analyzer: "ik_smart"
},
t_pyname: {
type: "text",
fields: {
keyword: {
type: "keyword",
ignore_above: 256
}
}
},

　　7高亮關鍵字

GET /megacorp/_search { "query" : { "match_phrase": { "about" : "rock climbing" } }, "highlight": { "fields": { "about": {} } } }

8es的group_by,聚合 aggregations,進行分析統計

GET /megacorp/_search { "aggs": { "all_inter": { "terms": { "field": "interests.keyword" } } } }

9 聚合時報錯,具體緣由是聚合須要大量的內存，聚合前，須要將相應的字段開啓聚合,或者按上面的方式使用 .keyword

Fielddata is disabled on text fields by default. Set fielddata=true on [interests] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead

PUT megacorp/_mapping { "properties": { "interests": { "type":     "text", "fielddata": true } } }

10聚合時間長,聚合慢, 使用"execution_hint": "map"

https://blog.csdn.net/laoyang360/article/details/79253294

GET /megacorp/_search
{ "query": { "match": { "last_name": "smith" } }, "aggs": { "all_inter": { "terms": { "field": "interests",
　　　　　"execution_hint": "map"
 } } } }

11查詢文檔,一個字段多個關鍵字(同一個字段查詢多個搜索詞) interests字段包含music的或者包含sports的,or

GET /megacorp/_search { "query": { "terms": { "interests": [ "music", "sports" ] } } }

12查詢文檔,同一個字段包含多個關鍵字 interests字段包含music的和包含sports的,and

GET /megacorp/_search { "query": { "bool": { "must": [ { "term": { "interests": { "value": "music" } } } , { "term": { "interests": { "value": "sports" } } } ] } } }

12查詢文檔,一個關鍵字多個字段(同一個搜索詞查詢多個字段)

http://www.javashuo.com/article/p-hzrevgrk-gc.html

GET /megacorp/_search { "query": { "multi_match": { "query": "Smith", "fields": ["last_name","first_name"] } } }

13聚合分級彙總,聚合後的每一組數據進行統計,aggs後再aggs

GET /megacorp/_search { "size":0, "aggs": { "all_inter": { "terms": { "field": "interests", "execution_hint": "map" }, "aggs": { "avg_age": { "avg": { "field": "age" } } } } } }

14 多字段查詢, 如一個關鍵字查詢同音字,同義字,形近字,等

https://blog.csdn.net/questiontoomuch/article/details/48493991

同音字能夠增長一個字段,如 t_pyname 是t_name的pinyin

同義字增長一個字段, t_shinglesname

使用一個詞幹提取器來將jumps，jumping和jumped索引成它們的詞根：jump。而後當用戶搜索的是jumped時，咱們仍然可以匹配含有jumping的文檔。
包含同義詞，好比jump，leap和hop。
移除變音符號或者聲調符號：好比，ésta，está和esta都會以esta被索引。