基本查詢(英文)

1.數(shù)據(jù)準(zhǔn)備

PUT /lib3
{
    "settings":{
    "number_of_shards" : 3,
    "number_of_replicas" : 0
    },
     "mappings":{
      "user":{
        "properties":{
            "name": {"type":"text"},
            "address": {"type":"text"},
            "age": {"type":"integer"},
            "interests": {"type":"text"},
            "birthday": {"type":"date"}
        }
      }
     }
}
PUT /lib3/user/1
{
  "name":"zhaoliu",
  "address":"hei long jiang sheng tie ling shi",
  "age":50,
  "birthday":"1970-12-12",
  "interests":"xi huan hejiu,duanlian,lvyou"
}
PUT /lib3/user/2
{
  "name":"zhaoming",
  "address":"bei jing hai dian qu qing he zhen",
  "age":20,
  "birthday":"1998-10-12",
  "interests":"xi huan hejiu,duanlian,changge"
}
PUT /lib3/user/3
{
  "name":"lisi",
  "address":"bei jing hai dian qu qing he zhen",
  "age":27,
  "birthday":"1991-10-12",
  "interests":"xi huan hejiu,duanlian,changge"
}
PUT /lib3/user/4
{
  "name":"wangwu",
  "address":"bei jing hai dian qu qing he zhen",
  "age":26,
  "birthday":"1992-10-12",
  "interests":"xi huan biancheng,tingyinyue,lvyou"
}
PUT /lib3/user/5
{
  "name":"zhangsan",
  "address":"bei jing chao yang qu",
  "age":29,
  "birthday":"1989-10-12",
  "interests":"xi huan tingyinyue,changge,tiaowu"
}
GET /lib3/user/_search?q=name:lisi
{
  "took": 5,
  "timed_out": false,
  "_shards": {
    "total": 3,
    "successful": 3,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": 1,
    #max_score:和當(dāng)前搜索相關(guān)度的匹配分?jǐn)?shù)
    "max_score": 0.6931472,
    "hits": [
      {
        "_index": "lib3",
        "_type": "user",
        "_id": "3",
        "_score": 0.6931472,
        "_source": {
          "name": "lisi",
          "address": "bei jing hai dian qu qing he zhen",
          "age": 27,
          "birthday": "1991-10-12",
          "interests": "xi huan hejiu,duanlian,changge"
        }
      }
    ]
  }
}
GET /lib3/user/_search?q=interests:changge&sort=age:desc
{
  "took": 6,
  "timed_out": false,
  "_shards": {
    "total": 3,
    "successful": 3,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": 3,
    "max_score": null,
    "hits": [
      {
        "_index": "lib3",
        "_type": "user",
        "_id": "5",
        "_score": null,
        "_source": {
          "name": "zhangsan",
          "address": "bei jing chao yang qu",
          "age": 29,
          "birthday": "1989-10-12",
          "interests": "xi huan tingyinyue,changge,tiaowu"
        },
        "sort": [
          29
        ]
      },
      {
        "_index": "lib3",
        "_type": "user",
        "_id": "3",
        "_score": null,
        "_source": {
          "name": "lisi",
          "address": "bei jing hai dian qu qing he zhen",
          "age": 27,
          "birthday": "1991-10-12",
          "interests": "xi huan hejiu,duanlian,changge"
        },
        "sort": [
          27
        ]
      },
      {
        "_index": "lib3",
        "_type": "user",
        "_id": "2",
        "_score": null,
        "_source": {
          "name": "zhaoming",
          "address": "bei jing hai dian qu qing he zhen",
          "age": 20,
          "birthday": "1998-10-12",
          "interests": "xi huan hejiu,duanlian,changge"
        },
        "sort": [
          20
        ]
      }
    ]
  }
}

2.term查詢和terms查詢

term query會(huì)去倒排索引中尋找確切的term,它并不知道分詞器的存在,這種查詢適合keyword惦蚊、numeric、date

term:查詢某個(gè)字段里含有某個(gè)關(guān)鍵詞的文檔

GET /lib3/user/_search
{
  "query":{"term":{"interests":"changge"}}
}

terms:查詢某個(gè)字段里含有多個(gè)關(guān)鍵詞的文檔

GET /lib3/user/_search
{
  "query":{"terms":{"interests":["hejiu","changge"]}}
}

3.控制查詢返回的數(shù)量

from:從哪一個(gè)文檔開始
size:需要的個(gè)數(shù)

GET /lib3/user/_search
{
  "from":0,
  "size":2,
  "query":{"terms":"interests":["hejiu",changge]}
}

4.返回版本號(hào)

GET /lib3/user/_search
{
  "version":true,
  "query":{"terms":{"interests":["hejiu","changge"]}}
}

5.match查詢

match query知道分詞器的存在,會(huì)對(duì)field進(jìn)行分詞操作,然后再查詢

GET /lib3/user/_search
{
  "query":{"match":{"name":"zhaoliu,zhaoming"}}
}
GET /lib3/user/_search
{
  "query":{"match":{"age":"20"}}
}

match_all:查詢所有文檔

GET /lib3/user/_search
{
  "query":{"match_all":{}}
}

multi_match:可以指定多個(gè)字段

GET /lib3/user/_search
{
  "query":{"multi_match":{"query":"lvyou","field":["interests","name"]}}
}

match_phrase:短語(yǔ)匹配查詢
ElasticSearch引擎首先分析(analyze)查詢字符串,從分析后的文本中構(gòu)建查詢短語(yǔ)查詢,這意味著必須匹配短語(yǔ)中的所有分詞,并且保證個(gè)分詞的相對(duì)位置不變:

GET /lib3/user/_search
{
  "query": {
    "match_phrase": {
      "interests": "duanlian,shuoxiangsheng"
    }
  }
}

6.指定返回的字段

GET /lib3/user/_search
{
  "_source": ["name","address"],
  "query": {
    "match": {
      "interests": "changge"
    }
  }
}

7.控制加載的字段

GET /lib3/user/_search
{
  "query": {
    "match_all": {}
  },
  "_source": {
    "includes": ["name","address"],
    "excludes": ["age","birthday"]
  }
}

8.排序

使用sort實(shí)現(xiàn)排序:desc:降序,asc:升序

GET /lib3/user/_search
{
  "query": {"match_all": {}},
  "sort": [
    {
      "age": {
        "order": "asc"
      }
    }
  ]
}
GET /lib3/user/_search
{
  "query": {"match_all": {}},
  "sort": [
    {
      "age": {
        "order": "desc"
      }
    }
  ]
}

9.前綴匹配查詢

GET /lib3/user/_search
{
  "query": {"match_phrase_prefix": {
    "name": {"query": "zhao"}
  }}
}

10.范圍查找

range:實(shí)現(xiàn)范圍查詢
參數(shù):from,to,include_lower,include_upper,boost
include_lower:是否包含范圍的左邊界,默認(rèn)是true
include_upper:是否包含范圍的右邊界,默認(rèn)是true

GET /lib3/user/_search
{
  "query": {
    "range": {
      "birthday": {
        "from": "1990-10-10",
        "to": "2018-12-27"
      }
    }
  }
}
GET /lib3/user/_search
{
  "query": {
    "range": {
      "age": {
        "from": 20,
        "to": 25,
        "include_lower":true,
        "include_upper":false
      }
    }
  }
}

11.wildcard查詢

允許使用通配符*和?來(lái)進(jìn)行查詢
*代表0個(gè)或多個(gè)字符
?代表任意一個(gè)字符

GET /lib3/user/_search
{
  "query": {"wildcard": {
    "name": {
      "value": "zhao*"
    }
  }}
}
GET /lib3/user/_search
{
  "query": {
    "wildcard": {
      "name": {
        "value": "li?i"
      }
    }
  }
}

12.fuzzy實(shí)現(xiàn)模糊查詢

value:查詢的關(guān)鍵字
boost:查詢的權(quán)值,默認(rèn)值是1.0
min_similarity:設(shè)置匹配的最小相似度,默認(rèn)值為0.5,對(duì)于字符串,取值為0-1(包括0和1);對(duì)于數(shù)值,取值可能大于1;對(duì)于日期型取值為1d,1m等,1d就代表1天
prefix_length:指明區(qū)分分詞項(xiàng)的共同前綴長(zhǎng)度,默認(rèn)是0
max_expansions:查詢中的詞項(xiàng)可以擴(kuò)展的數(shù)目,默認(rèn)可以無(wú)限大

GET /lib3/user/_search
{
  "query": {
    "fuzzy": {"interests": "chagge"}
  }
}
GET /lib3/user/_search
{
  "query": {
    "fuzzy": {"interests": {"value": "chagge"}}
  }
}

13.高亮搜索結(jié)果

GET /lib3/user/_search
{
  "query": {
    "match": {
      "interests": "changge"
    }
  },
  "highlight": {"fields": {"interests": {}}}
}
最后編輯于
?著作權(quán)歸作者所有,轉(zhuǎn)載或內(nèi)容合作請(qǐng)聯(lián)系作者
  • 序言:七十年代末,一起剝皮案震驚了整個(gè)濱河市蹦锋,隨后出現(xiàn)的幾起案子曾撤,更是在濱河造成了極大的恐慌,老刑警劉巖晕粪,帶你破解...
    沈念sama閱讀 218,036評(píng)論 6 506
  • 序言:濱河連續(xù)發(fā)生了三起死亡事件,死亡現(xiàn)場(chǎng)離奇詭異渐裸,居然都是意外死亡巫湘,警方通過(guò)查閱死者的電腦和手機(jī),發(fā)現(xiàn)死者居然都...
    沈念sama閱讀 93,046評(píng)論 3 395
  • 文/潘曉璐 我一進(jìn)店門昏鹃,熙熙樓的掌柜王于貴愁眉苦臉地迎上來(lái)尚氛,“玉大人,你說(shuō)我怎么就攤上這事洞渤≡乃唬” “怎么了?”我有些...
    開封第一講書人閱讀 164,411評(píng)論 0 354
  • 文/不壞的土叔 我叫張陵载迄,是天一觀的道長(zhǎng)讯柔。 經(jīng)常有香客問(wèn)我,道長(zhǎng)护昧,這世上最難降的妖魔是什么魂迄? 我笑而不...
    開封第一講書人閱讀 58,622評(píng)論 1 293
  • 正文 為了忘掉前任,我火速辦了婚禮惋耙,結(jié)果婚禮上捣炬,老公的妹妹穿的比我還像新娘。我一直安慰自己绽榛,他們只是感情好湿酸,可當(dāng)我...
    茶點(diǎn)故事閱讀 67,661評(píng)論 6 392
  • 文/花漫 我一把揭開白布。 她就那樣靜靜地躺著灭美,像睡著了一般推溃。 火紅的嫁衣襯著肌膚如雪。 梳的紋絲不亂的頭發(fā)上冲粤,一...
    開封第一講書人閱讀 51,521評(píng)論 1 304
  • 那天美莫,我揣著相機(jī)與錄音,去河邊找鬼梯捕。 笑死厢呵,一個(gè)胖子當(dāng)著我的面吹牛,可吹牛的內(nèi)容都是我干的傀顾。 我是一名探鬼主播襟铭,決...
    沈念sama閱讀 40,288評(píng)論 3 418
  • 文/蒼蘭香墨 我猛地睜開眼,長(zhǎng)吁一口氣:“原來(lái)是場(chǎng)噩夢(mèng)啊……” “哼!你這毒婦竟也來(lái)了寒砖?” 一聲冷哼從身側(cè)響起赐劣,我...
    開封第一講書人閱讀 39,200評(píng)論 0 276
  • 序言:老撾萬(wàn)榮一對(duì)情侶失蹤,失蹤者是張志新(化名)和其女友劉穎哩都,沒(méi)想到半個(gè)月后魁兼,有當(dāng)?shù)厝嗽跇淞掷锇l(fā)現(xiàn)了一具尸體,經(jīng)...
    沈念sama閱讀 45,644評(píng)論 1 314
  • 正文 獨(dú)居荒郊野嶺守林人離奇死亡漠嵌,尸身上長(zhǎng)有42處帶血的膿包…… 初始之章·張勛 以下內(nèi)容為張勛視角 年9月15日...
    茶點(diǎn)故事閱讀 37,837評(píng)論 3 336
  • 正文 我和宋清朗相戀三年咐汞,在試婚紗的時(shí)候發(fā)現(xiàn)自己被綠了。 大學(xué)時(shí)的朋友給我發(fā)了我未婚夫和他白月光在一起吃飯的照片儒鹿。...
    茶點(diǎn)故事閱讀 39,953評(píng)論 1 348
  • 序言:一個(gè)原本活蹦亂跳的男人離奇死亡化撕,死狀恐怖,靈堂內(nèi)的尸體忽然破棺而出约炎,到底是詐尸還是另有隱情植阴,我是刑警寧澤,帶...
    沈念sama閱讀 35,673評(píng)論 5 346
  • 正文 年R本政府宣布圾浅,位于F島的核電站掠手,受9級(jí)特大地震影響,放射性物質(zhì)發(fā)生泄漏贱傀。R本人自食惡果不足惜惨撇,卻給世界環(huán)境...
    茶點(diǎn)故事閱讀 41,281評(píng)論 3 329
  • 文/蒙蒙 一、第九天 我趴在偏房一處隱蔽的房頂上張望府寒。 院中可真熱鬧魁衙,春花似錦、人聲如沸株搔。這莊子的主人今日做“春日...
    開封第一講書人閱讀 31,889評(píng)論 0 22
  • 文/蒼蘭香墨 我抬頭看了看天上的太陽(yáng)纤房。三九已至纵隔,卻和暖如春,著一層夾襖步出監(jiān)牢的瞬間炮姨,已是汗流浹背捌刮。 一陣腳步聲響...
    開封第一講書人閱讀 33,011評(píng)論 1 269
  • 我被黑心中介騙來(lái)泰國(guó)打工, 沒(méi)想到剛下飛機(jī)就差點(diǎn)兒被人妖公主榨干…… 1. 我叫王不留舒岸,地道東北人绅作。 一個(gè)月前我還...
    沈念sama閱讀 48,119評(píng)論 3 370
  • 正文 我出身青樓,卻偏偏與公主長(zhǎng)得像蛾派,于是被迫代替她去往敵國(guó)和親俄认。 傳聞我的和親對(duì)象是個(gè)殘疾皇子个少,可洞房花燭夜當(dāng)晚...
    茶點(diǎn)故事閱讀 44,901評(píng)論 2 355

推薦閱讀更多精彩內(nèi)容