ElasticSearch

官网: https://www.elastic.co/cn/elasticsearch/

简介

​ Elasticsearch 是一个分布式、RESTful 风格的搜索和数据分析引擎，能够解决不断涌现出的各种用例。作为 Elastic Stack 的核心，Elasticsearch 会集中存储您的数据，让您飞快完成搜索，微调相关性，进行强大的分析，并轻松缩放规模。

一.基本概念

1.Index(索引)

动词:相当于mysql的insert

名词:相当于mysql的database

2.Type(类型)

在index中可以定义一个或者多个类型

类似于mysql中的Table；每一种类型的数据放在一起

3.Document(文档)

保存在某个索引(index)下，某种类型(Type)的一个数据(Document),文档是JSON格式的，

Document就是像mysql中的某个Table里面的内容。

4.倒排索引

二.Docker安装ElasticSearch

1.安装ElasticSearch(存储和检索数据)

# 拉取ElasticSearch
docker pull elasticsearch:7.4.2

#ES的配置文件存放的位置
mkdir -p /mydata/elasticsearch/config

#ES相关的数据
mkdir -p /mydata/elasticsearch/data

#将"http.host: 0.0.0.0"(可以被任何的机器访问)的配置写入elasticsearch.yml中（注意冒号后面的空格）
echo "http.host: 0.0.0.0" >> /mydata/elasticsearch/config/elasticsearch.yml

#设置文件的权限
# 递归更改权限，es需要访问
chmod -R 777 /mydata/elasticsearch/

#运行容器的命令 9200端口用于发送请求使用 9300端口用于集群中节点中的通信使用
#单节点运行
#初始占用64m，最大占用512m（不指定，ES会占用所有的内存）
docker run --name elasticsearch -p 9200:9200 -p 9300:9300 \
-e "discovery.type=single-node" \
-e ES_JAVA_OPTS="-Xms64m -Xmx512m" \
-v /mydata/elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml \
-v /mydata/elasticsearch/data:/usr/share/elasticsearch/data \
-v /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins \
-d elasticsearch:7.4.2 

# 设置开机启动elasticsearch
docker update elasticsearch --restart=always

#访问端口 测试是否安装成功
http://虚拟机的ip:9200/

2.安装Kibana(可视化检索数据)

#拉取Kibana
docker pull kibana:7.4.2
# 这里-e是自己的elasticsearch服务地址（这里的地址一定要改为自己虚拟机的地址）
docker run --name kibana -e ELASTICSEARCH_HOSTS=http://192.168.195.100:9200 -p 5601:5601 -d kibana:7.4.2
# 设置开机启动kibana
docker update kibana  --restart=always
#访问对应的网址查看服务
http://虚拟机的ip:5601

三.初步检索

1._Cat

GET/_cat/nodes 查看所有节点

GET/_cat/health 查看es的健康状态

GET/_cat/master 查看主节点

GET/_cat/indices 查看所有索引

2.索引文档(保存)

保存操作可以发送PUT或者POST请求

put需要在路径上指定id

post请求可以不指定id，自动生成一个唯一标识

例:PUT customer/external/1 在customer索引下的external类型下保存1号数据为

-> PUT customer/external/1
//请求体
{
    "name":"John Doe"
}

返回的数据解析

//_开头的数据称为元数据
{
    "_index": "customer",//数据存在的数据库
    "_type": "external",//保存数据的类型
    "_id": "1",//数据的id
    "_version": 1,//数据的版本
    "result": "created",//保存为"created",修改为"updated",发送多次为更新的操作
    "_shards": {   //分片
        "total": 2,
        "successful": 1,
        "failed": 0
    },
    "_seq_no": 0,
    "_primary_term": 1
}

3.查询文档

-> GET customer/external/1

返回数据解析

{
    "_index": "customer",
    "_type": "external",
    "_id": "1",
    "_version": 1,
    "_seq_no": 0,//并发控制的字段，每次更新就会+1，用来做乐观锁
    "_primary_term": 1,//同上，主分片重新分配，如重启，就会有变化
    "found": true,//是否找到
    "_source": {//数据真正的内容
        "name": "John Doe" 
    }
}

4.更新文档

POST customer/external/1/_update  //对比原先的数据，和原先的一样_version和_seq_no不会发生改变
{
    "doc":{
        "name": "John Doe" 
    }
}
或者 
POST customer/external/1 //和之前的数据一样的话也会执行更新操作
{
    "name": "John Doe"
}
或者
PUT customer/external/1
{
    "name": "John Doe"
}

​ 使用POST customer/external/1/_update 的方式进行更新会对比原先的数据，和原先的一样version和_seq_no不会发生改变,下面是我们使用同样的数据发送两次更新请求，第二次的result显示”noop”，没有进行操作

5.删除文档|索引

DELETE customer/external/1
DELETE customer

删除文档

删除索引

6.bulk批量API

Kibana的使用

批量保存数据

POST /customer/external/_bulk
{"index":{"_id":"1"}}
{"name":"a"}
{"index":{"_id":"2"}}
{"name":"b"}
新增两条数据
新增id为1的  对应 name为a
新增Id为2的  对应 name为b

复杂批量操作

POST /_bulk
{"delete":{"_index":"website","_type":"blog","_id":"123"}}
{"create":{"_index":"website","_type":"blog","_id":"123"}}
{"title":"my first blog post"}
{"index":{"_index":"website","_type":"blog"}}
{"title":"my second blog post"}
{"update":{"_index":"website","_type":"blog","_id":"123"}}
{"doc":{"title":"my updated blog post"}}

7.样本测试数据

POST /bank/account/_bulk
{"index":{"_id":"1"}}
{"account_number":1,"balance":39225,"firstname":"Amber","lastname":"Duke","age":32,"gender":"M","address":"880 Holmes Lane","employer":"Pyrami","email":"amberduke@pyrami.com","city":"Brogan","state":"IL"}
{"index":{"_id":"6"}}
{"account_number":6,"balance":5686,"firstname":"Hattie","lastname":"Bond","age":36,"gender":"M","address":"671 Bristol Street","employer":"Netagy","email":"hattiebond@netagy.com","city":"Dante","state":"TN"}
{"index":{"_id":"13"}}
{"account_number":13,"balance":32838,"firstname":"Nanette","lastname":"Bates","age":28,"gender":"F","address":"789 Madison Street","employer":"Quility","email":"nanettebates@quility.com","city":"Nogal","state":"VA"}
{"index":{"_id":"18"}}
{"account_number":18,"balance":4180,"firstname":"Dale","lastname":"Adams","age":33,"gender":"M","address":"467 Hutchinson Court","employer":"Boink","email":"daleadams@boink.com","city":"Orick","state":"MD"}
{"index":{"_id":"20"}}
{"account_number":20,"balance":16418,"firstname":"Elinor","lastname":"Ratliff","age":36,"gender":"M","address":"282 Kings Place","employer":"Scentric","email":"elinorratliff@scentric.com","city":"Ribera","state":"WA"}
{"index":{"_id":"25"}}
{"account_number":25,"balance":40540,"firstname":"Virginia","lastname":"Ayala","age":39,"gender":"F","address":"171 Putnam Avenue","employer":"Filodyne","email":"virginiaayala@filodyne.com","city":"Nicholson","state":"PA"}
{"index":{"_id":"32"}}
{"account_number":32,"balance":48086,"firstname":"Dillard","lastname":"Mcpherson","age":34,"gender":"F","address":"702 Quentin Street","employer":"Quailcom","email":"dillardmcpherson@quailcom.com","city":"Veguita","state":"IN"}
{"index":{"_id":"37"}}
{"account_number":37,"balance":18612,"firstname":"Mcgee","lastname":"Mooney","age":39,"gender":"M","address":"826 Fillmore Place","employer":"Reversus","email":"mcgeemooney@reversus.com","city":"Tooleville","state":"OK"}
{"index":{"_id":"44"}}
{"account_number":44,"balance":34487,"firstname":"Aurelia","lastname":"Harding","age":37,"gender":"M","address":"502 Baycliff Terrace","employer":"Orbalix","email":"aureliaharding@orbalix.com","city":"Yardville","state":"DE"}
{"index":{"_id":"49"}}
{"account_number":49,"balance":29104,"firstname":"Fulton","lastname":"Holt","age":23,"gender":"F","address":"451 Humboldt Street","employer":"Anocha","email":"fultonholt@anocha.com","city":"Sunriver","state":"RI"}
{"index":{"_id":"51"}}
{"account_number":51,"balance":14097,"firstname":"Burton","lastname":"Meyers","age":31,"gender":"F","address":"334 River Street","employer":"Bezal","email":"burtonmeyers@bezal.com","city":"Jacksonburg","state":"MO"}
{"index":{"_id":"56"}}
{"account_number":56,"balance":14992,"firstname":"Josie","lastname":"Nelson","age":32,"gender":"M","address":"857 Tabor Court","employer":"Emtrac","email":"josienelson@emtrac.com","city":"Sunnyside","state":"UT"}
{"index":{"_id":"63"}}
{"account_number":63,"balance":6077,"firstname":"Hughes","lastname":"Owens","age":30,"gender":"F","address":"510 Sedgwick Street","employer":"Valpreal","email":"hughesowens@valpreal.com","city":"Guilford","state":"KS"}
{"index":{"_id":"68"}}
{"account_number":68,"balance":44214,"firstname":"Hall","lastname":"Key","age":25,"gender":"F","address":"927 Bay Parkway","employer":"Eventex","email":"hallkey@eventex.com","city":"Shawmut","state":"CA"}
{"index":{"_id":"70"}}
{"account_number":70,"balance":38172,"firstname":"Deidre","lastname":"Thompson","age":33,"gender":"F","address":"685 School Lane","employer":"Netplode","email":"deidrethompson@netplode.com","city":"Chestnut","state":"GA"}
{"index":{"_id":"75"}}
{"account_number":75,"balance":40500,"firstname":"Sandoval","lastname":"Kramer","age":22,"gender":"F","address":"166 Irvington Place","employer":"Overfork","email":"sandovalkramer@overfork.com","city":"Limestone","state":"NH"}
{"index":{"_id":"82"}}
{"account_number":82,"balance":41412,"firstname":"Concetta","lastname":"Barnes","age":39,"gender":"F","address":"195 Bayview Place","employer":"Fitcore","email":"concettabarnes@fitcore.com","city":"Summerfield","state":"NC"}
{"index":{"_id":"87"}}
{"account_number":87,"balance":1133,"firstname":"Hewitt","lastname":"Kidd","age":22,"gender":"M","address":"446 Halleck Street","employer":"Isologics","email":"hewittkidd@isologics.com","city":"Coalmont","state":"ME"}
{"index":{"_id":"94"}}
{"account_number":94,"balance":41060,"firstname":"Brittany","lastname":"Cabrera","age":30,"gender":"F","address":"183 Kathleen Court","employer":"Mixers","email":"brittanycabrera@mixers.com","city":"Cornucopia","state":"AZ"}
{"index":{"_id":"99"}}
{"account_number":99,"balance":47159,"firstname":"Ratliff","lastname":"Heath","age":39,"gender":"F","address":"806 Rockwell Place","employer":"Zappix","email":"ratliffheath@zappix.com","city":"Shaft","state":"ND"}
{"index":{"_id":"102"}}
{"account_number":102,"balance":29712,"firstname":"Dena","lastname":"Olson","age":27,"gender":"F","address":"759 Newkirk Avenue","employer":"Hinway","email":"denaolson@hinway.com","city":"Choctaw","state":"NJ"}
{"index":{"_id":"107"}}
{"account_number":107,"balance":48844,"firstname":"Randi","lastname":"Rich","age":28,"gender":"M","address":"694 Jefferson Street","employer":"Netplax","email":"randirich@netplax.com","city":"Bellfountain","state":"SC"}
{"index":{"_id":"114"}}
{"account_number":114,"balance":43045,"firstname":"Josephine","lastname":"Joseph","age":31,"gender":"F","address":"451 Oriental Court","employer":"Turnabout","email":"josephinejoseph@turnabout.com","city":"Sedley","state":"AL"}
{"index":{"_id":"119"}}
{"account_number":119,"balance":49222,"firstname":"Laverne","lastname":"Johnson","age":28,"gender":"F","address":"302 Howard Place","employer":"Senmei","email":"lavernejohnson@senmei.com","city":"Herlong","state":"DC"}
{"index":{"_id":"121"}}
{"account_number":121,"balance":19594,"firstname":"Acevedo","lastname":"Dorsey","age":32,"gender":"M","address":"479 Nova Court","employer":"Netropic","email":"acevedodorsey@netropic.com","city":"Islandia","state":"CT"}
{"index":{"_id":"126"}}
{"account_number":126,"balance":3607,"firstname":"Effie","lastname":"Gates","age":39,"gender":"F","address":"620 National Drive","employer":"Digitalus","email":"effiegates@digitalus.com","city":"Blodgett","state":"MD"}
{"index":{"_id":"133"}}
{"account_number":133,"balance":26135,"firstname":"Deena","lastname":"Richmond","age":36,"gender":"F","address":"646 Underhill Avenue","employer":"Sunclipse","email":"deenarichmond@sunclipse.com","city":"Austinburg","state":"SC"}
{"index":{"_id":"138"}}
{"account_number":138,"balance":9006,"firstname":"Daniel","lastname":"Arnold","age":39,"gender":"F","address":"422 Malbone Street","employer":"Ecstasia","email":"danielarnold@ecstasia.com","city":"Gardiner","state":"MO"}
{"index":{"_id":"140"}}
{"account_number":140,"balance":26696,"firstname":"Cotton","lastname":"Christensen","age":32,"gender":"M","address":"878 Schermerhorn Street","employer":"Prowaste","email":"cottonchristensen@prowaste.com","city":"Mayfair","state":"LA"}
{"index":{"_id":"145"}}
{"account_number":145,"balance":47406,"firstname":"Rowena","lastname":"Wilkinson","age":32,"gender":"M","address":"891 Elton Street","employer":"Asimiline","email":"rowenawilkinson@asimiline.com","city":"Ripley","state":"NH"}
{"index":{"_id":"152"}}
{"account_number":152,"balance":8088,"firstname":"Wolfe","lastname":"Rocha","age":21,"gender":"M","address":"457 Guernsey Street","employer":"Hivedom","email":"wolferocha@hivedom.com","city":"Adelino","state":"MS"}
{"index":{"_id":"157"}}
{"account_number":157,"balance":39868,"firstname":"Claudia","lastname":"Terry","age":20,"gender":"F","address":"132 Gunnison Court","employer":"Lumbrex","email":"claudiaterry@lumbrex.com","city":"Castleton","state":"MD"}
{"index":{"_id":"164"}}
{"account_number":164,"balance":9101,"firstname":"Cummings","lastname":"Little","age":26,"gender":"F","address":"308 Schaefer Street","employer":"Comtrak","email":"cummingslittle@comtrak.com","city":"Chaparrito","state":"WI"}
{"index":{"_id":"169"}}
{"account_number":169,"balance":45953,"firstname":"Hollie","lastname":"Osborn","age":34,"gender":"M","address":"671 Seaview Court","employer":"Musaphics","email":"hollieosborn@musaphics.com","city":"Hanover","state":"GA"}
{"index":{"_id":"171"}}
{"account_number":171,"balance":7091,"firstname":"Nelda","lastname":"Hopper","age":39,"gender":"M","address":"742 Prospect Place","employer":"Equicom","email":"neldahopper@equicom.com","city":"Finderne","state":"SC"}
{"index":{"_id":"176"}}
{"account_number":176,"balance":18607,"firstname":"Kemp","lastname":"Walters","age":28,"gender":"F","address":"906 Howard Avenue","employer":"Eyewax","email":"kempwalters@eyewax.com","city":"Why","state":"KY"}
{"index":{"_id":"183"}}
{"account_number":183,"balance":14223,"firstname":"Hudson","lastname":"English","age":26,"gender":"F","address":"823 Herkimer Place","employer":"Xinware","email":"hudsonenglish@xinware.com","city":"Robbins","state":"ND"}
{"index":{"_id":"188"}}
{"account_number":188,"balance":41504,"firstname":"Tia","lastname":"Miranda","age":24,"gender":"F","address":"583 Ainslie Street","employer":"Jasper","email":"tiamiranda@jasper.com","city":"Summerset","state":"UT"}
{"index":{"_id":"190"}}
{"account_number":190,"balance":3150,"firstname":"Blake","lastname":"Davidson","age":30,"gender":"F","address":"636 Diamond Street","employer":"Quantasis","email":"blakedavidson@quantasis.com","city":"Crumpler","state":"KY"}
{"index":{"_id":"195"}}
{"account_number":195,"balance":5025,"firstname":"Kaye","lastname":"Gibson","age":31,"gender":"M","address":"955 Hopkins Street","employer":"Zork","email":"kayegibson@zork.com","city":"Ola","state":"WY"}
{"index":{"_id":"203"}}
{"account_number":203,"balance":21890,"firstname":"Eve","lastname":"Wyatt","age":33,"gender":"M","address":"435 Furman Street","employer":"Assitia","email":"evewyatt@assitia.com","city":"Jamestown","state":"MN"}
{"index":{"_id":"208"}}
{"account_number":208,"balance":40760,"firstname":"Garcia","lastname":"Hess","age":26,"gender":"F","address":"810 Nostrand Avenue","employer":"Quiltigen","email":"garciahess@quiltigen.com","city":"Brooktrails","state":"GA"}
{"index":{"_id":"210"}}
{"account_number":210,"balance":33946,"firstname":"Cherry","lastname":"Carey","age":24,"gender":"M","address":"539 Tiffany Place","employer":"Martgo","email":"cherrycarey@martgo.com","city":"Fairacres","state":"AK"}
{"index":{"_id":"215"}}
{"account_number":215,"balance":37427,"firstname":"Copeland","lastname":"Solomon","age":20,"gender":"M","address":"741 McDonald Avenue","employer":"Recognia","email":"copelandsolomon@recognia.com","city":"Edmund","state":"ME"}
{"index":{"_id":"222"}}
{"account_number":222,"balance":14764,"firstname":"Rachelle","lastname":"Rice","age":36,"gender":"M","address":"333 Narrows Avenue","employer":"Enaut","email":"rachellerice@enaut.com","city":"Wright","state":"AZ"}
{"index":{"_id":"227"}}
{"account_number":227,"balance":19780,"firstname":"Coleman","lastname":"Berg","age":22,"gender":"M","address":"776 Little Street","employer":"Exoteric","email":"colemanberg@exoteric.com","city":"Eagleville","state":"WV"}
{"index":{"_id":"234"}}
{"account_number":234,"balance":44207,"firstname":"Betty","lastname":"Hall","age":37,"gender":"F","address":"709 Garfield Place","employer":"Miraclis","email":"bettyhall@miraclis.com","city":"Bendon","state":"NY"}
{"index":{"_id":"239"}}
{"account_number":239,"balance":25719,"firstname":"Chang","lastname":"Boyer","age":36,"gender":"M","address":"895 Brigham Street","employer":"Qaboos","email":"changboyer@qaboos.com","city":"Belgreen","state":"NH"}
{"index":{"_id":"241"}}
{"account_number":241,"balance":25379,"firstname":"Schroeder","lastname":"Harrington","age":26,"gender":"M","address":"610 Tapscott Avenue","employer":"Otherway","email":"schroederharrington@otherway.com","city":"Ebro","state":"TX"}
{"index":{"_id":"246"}}
{"account_number":246,"balance":28405,"firstname":"Katheryn","lastname":"Foster","age":21,"gender":"F","address":"259 Kane Street","employer":"Quantalia","email":"katherynfoster@quantalia.com","city":"Bath","state":"TX"}
{"index":{"_id":"253"}}
{"account_number":253,"balance":20240,"firstname":"Melissa","lastname":"Gould","age":31,"gender":"M","address":"440 Fuller Place","employer":"Buzzopia","email":"melissagould@buzzopia.com","city":"Lumberton","state":"MD"}
{"index":{"_id":"258"}}
{"account_number":258,"balance":5712,"firstname":"Lindsey","lastname":"Hawkins","age":37,"gender":"M","address":"706 Frost Street","employer":"Enormo","email":"lindseyhawkins@enormo.com","city":"Gardners","state":"AK"}
{"index":{"_id":"260"}}
{"account_number":260,"balance":2726,"firstname":"Kari","lastname":"Skinner","age":30,"gender":"F","address":"735 Losee Terrace","employer":"Singavera","email":"kariskinner@singavera.com","city":"Rushford","state":"WV"}
{"index":{"_id":"265"}}
{"account_number":265,"balance":46910,"firstname":"Marion","lastname":"Schneider","age":26,"gender":"F","address":"574 Everett Avenue","employer":"Evidends","email":"marionschneider@evidends.com","city":"Maplewood","state":"WY"}
{"index":{"_id":"272"}}
{"account_number":272,"balance":19253,"firstname":"Lilly","lastname":"Morgan","age":25,"gender":"F","address":"689 Fleet Street","employer":"Biolive","email":"lillymorgan@biolive.com","city":"Sunbury","state":"OH"}
{"index":{"_id":"277"}}
{"account_number":277,"balance":29564,"firstname":"Romero","lastname":"Lott","age":31,"gender":"M","address":"456 Danforth Street","employer":"Plasto","email":"romerolott@plasto.com","city":"Vincent","state":"VT"}
{"index":{"_id":"284"}}
{"account_number":284,"balance":22806,"firstname":"Randolph","lastname":"Banks","age":29,"gender":"M","address":"875 Hamilton Avenue","employer":"Caxt","email":"randolphbanks@caxt.com","city":"Crawfordsville","state":"WA"}
{"index":{"_id":"289"}}
{"account_number":289,"balance":7798,"firstname":"Blair","lastname":"Church","age":29,"gender":"M","address":"370 Sutton Street","employer":"Cubix","email":"blairchurch@cubix.com","city":"Nile","state":"NH"}
{"index":{"_id":"291"}}
{"account_number":291,"balance":19955,"firstname":"Lynn","lastname":"Pollard","age":40,"gender":"F","address":"685 Pierrepont Street","employer":"Slambda","email":"lynnpollard@slambda.com","city":"Mappsville","state":"ID"}
{"index":{"_id":"296"}}
{"account_number":296,"balance":24606,"firstname":"Rosa","lastname":"Oliver","age":34,"gender":"M","address":"168 Woodbine Street","employer":"Idetica","email":"rosaoliver@idetica.com","city":"Robinson","state":"WY"}
{"index":{"_id":"304"}}
{"account_number":304,"balance":28647,"firstname":"Palmer","lastname":"Clark","age":35,"gender":"M","address":"866 Boulevard Court","employer":"Maximind","email":"palmerclark@maximind.com","city":"Avalon","state":"NH"}
{"index":{"_id":"309"}}
{"account_number":309,"balance":3830,"firstname":"Rosemarie","lastname":"Nieves","age":30,"gender":"M","address":"206 Alice Court","employer":"Zounds","email":"rosemarienieves@zounds.com","city":"Ferney","state":"AR"}
{"index":{"_id":"311"}}
{"account_number":311,"balance":13388,"firstname":"Vinson","lastname":"Ballard","age":23,"gender":"F","address":"960 Glendale Court","employer":"Gynk","email":"vinsonballard@gynk.com","city":"Fairforest","state":"WY"}
{"index":{"_id":"316"}}
{"account_number":316,"balance":8214,"firstname":"Anita","lastname":"Ewing","age":32,"gender":"M","address":"396 Lombardy Street","employer":"Panzent","email":"anitaewing@panzent.com","city":"Neahkahnie","state":"WY"}
{"index":{"_id":"323"}}
{"account_number":323,"balance":42230,"firstname":"Chelsea","lastname":"Gamble","age":34,"gender":"F","address":"356 Dare Court","employer":"Isosphere","email":"chelseagamble@isosphere.com","city":"Dundee","state":"MD"}
{"index":{"_id":"328"}}
{"account_number":328,"balance":12523,"firstname":"Good","lastname":"Campbell","age":27,"gender":"F","address":"438 Hicks Street","employer":"Gracker","email":"goodcampbell@gracker.com","city":"Marion","state":"CA"}
{"index":{"_id":"330"}}
{"account_number":330,"balance":41620,"firstname":"Yvette","lastname":"Browning","age":34,"gender":"F","address":"431 Beekman Place","employer":"Marketoid","email":"yvettebrowning@marketoid.com","city":"Talpa","state":"CO"}
{"index":{"_id":"335"}}
{"account_number":335,"balance":35433,"firstname":"Vera","lastname":"Hansen","age":24,"gender":"M","address":"252 Bushwick Avenue","employer":"Zanilla","email":"verahansen@zanilla.com","city":"Manila","state":"TN"}
{"index":{"_id":"342"}}
{"account_number":342,"balance":33670,"firstname":"Vivian","lastname":"Wells","age":36,"gender":"M","address":"570 Cobek Court","employer":"Nutralab","email":"vivianwells@nutralab.com","city":"Fontanelle","state":"OK"}
{"index":{"_id":"347"}}
{"account_number":347,"balance":36038,"firstname":"Gould","lastname":"Carson","age":24,"gender":"F","address":"784 Pulaski Street","employer":"Mobildata","email":"gouldcarson@mobildata.com","city":"Goochland","state":"MI"}
{"index":{"_id":"354"}}
{"account_number":354,"balance":21294,"firstname":"Kidd","lastname":"Mclean","age":22,"gender":"M","address":"691 Saratoga Avenue","employer":"Ronbert","email":"kiddmclean@ronbert.com","city":"Tioga","state":"ME"}
{"index":{"_id":"359"}}
{"account_number":359,"balance":29927,"firstname":"Vanessa","lastname":"Harvey","age":28,"gender":"F","address":"679 Rutledge Street","employer":"Zentime","email":"vanessaharvey@zentime.com","city":"Williston","state":"IL"}
{"index":{"_id":"361"}}
{"account_number":361,"balance":23659,"firstname":"Noreen","lastname":"Shelton","age":36,"gender":"M","address":"702 Tillary Street","employer":"Medmex","email":"noreenshelton@medmex.com","city":"Derwood","state":"NH"}
{"index":{"_id":"366"}}
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{"index":{"_id":"786"}}
{"account_number":786,"balance":3024,"firstname":"Rene","lastname":"Vang","age":33,"gender":"M","address":"506 Randolph Street","employer":"Isopop","email":"renevang@isopop.com","city":"Vienna","state":"NJ"}
{"index":{"_id":"793"}}
{"account_number":793,"balance":16911,"firstname":"Alford","lastname":"Compton","age":36,"gender":"M","address":"186 Veronica Place","employer":"Zyple","email":"alfordcompton@zyple.com","city":"Sugartown","state":"AK"}
{"index":{"_id":"798"}}
{"account_number":798,"balance":3165,"firstname":"Catherine","lastname":"Ward","age":30,"gender":"F","address":"325 Burnett Street","employer":"Dreamia","email":"catherineward@dreamia.com","city":"Glenbrook","state":"SD"}
{"index":{"_id":"801"}}
{"account_number":801,"balance":14954,"firstname":"Molly","lastname":"Maldonado","age":37,"gender":"M","address":"518 Maple Avenue","employer":"Straloy","email":"mollymaldonado@straloy.com","city":"Hebron","state":"WI"}
{"index":{"_id":"806"}}
{"account_number":806,"balance":36492,"firstname":"Carson","lastname":"Riddle","age":31,"gender":"M","address":"984 Lois Avenue","employer":"Terrago","email":"carsonriddle@terrago.com","city":"Leland","state":"MN"}
{"index":{"_id":"813"}}
{"account_number":813,"balance":30833,"firstname":"Ebony","lastname":"Bishop","age":20,"gender":"M","address":"487 Ridge Court","employer":"Optique","email":"ebonybishop@optique.com","city":"Fairmount","state":"WA"}
{"index":{"_id":"818"}}
{"account_number":818,"balance":24433,"firstname":"Espinoza","lastname":"Petersen","age":26,"gender":"M","address":"641 Glenwood Road","employer":"Futurity","email":"espinozapetersen@futurity.com","city":"Floriston","state":"MD"}
{"index":{"_id":"820"}}
{"account_number":820,"balance":1011,"firstname":"Shepard","lastname":"Ramsey","age":24,"gender":"F","address":"806 Village Court","employer":"Mantro","email":"shepardramsey@mantro.com","city":"Tibbie","state":"NV"}
{"index":{"_id":"825"}}
{"account_number":825,"balance":49000,"firstname":"Terra","lastname":"Witt","age":21,"gender":"F","address":"590 Conway Street","employer":"Insectus","email":"terrawitt@insectus.com","city":"Forbestown","state":"AR"}
{"index":{"_id":"832"}}
{"account_number":832,"balance":8582,"firstname":"Laura","lastname":"Gibbs","age":39,"gender":"F","address":"511 Osborn Street","employer":"Corepan","email":"lauragibbs@corepan.com","city":"Worcester","state":"KS"}
{"index":{"_id":"837"}}
{"account_number":837,"balance":14485,"firstname":"Amy","lastname":"Villarreal","age":35,"gender":"M","address":"381 Stillwell Place","employer":"Fleetmix","email":"amyvillarreal@fleetmix.com","city":"Sanford","state":"IA"}
{"index":{"_id":"844"}}
{"account_number":844,"balance":26840,"firstname":"Jill","lastname":"David","age":31,"gender":"M","address":"346 Legion Street","employer":"Zytrax","email":"jilldavid@zytrax.com","city":"Saticoy","state":"SC"}
{"index":{"_id":"849"}}
{"account_number":849,"balance":16200,"firstname":"Barry","lastname":"Chapman","age":26,"gender":"M","address":"931 Dekoven Court","employer":"Darwinium","email":"barrychapman@darwinium.com","city":"Whitestone","state":"WY"}
{"index":{"_id":"851"}}
{"account_number":851,"balance":22026,"firstname":"Henderson","lastname":"Price","age":33,"gender":"F","address":"530 Hausman Street","employer":"Plutorque","email":"hendersonprice@plutorque.com","city":"Brutus","state":"RI"}
{"index":{"_id":"856"}}
{"account_number":856,"balance":27583,"firstname":"Alissa","lastname":"Knox","age":25,"gender":"M","address":"258 Empire Boulevard","employer":"Geologix","email":"alissaknox@geologix.com","city":"Hartsville/Hartley","state":"MN"}
{"index":{"_id":"863"}}
{"account_number":863,"balance":23165,"firstname":"Melendez","lastname":"Fernandez","age":40,"gender":"M","address":"661 Johnson Avenue","employer":"Vixo","email":"melendezfernandez@vixo.com","city":"Farmers","state":"IL"}
{"index":{"_id":"868"}}
{"account_number":868,"balance":27624,"firstname":"Polly","lastname":"Barron","age":22,"gender":"M","address":"129 Frank Court","employer":"Geofarm","email":"pollybarron@geofarm.com","city":"Loyalhanna","state":"ND"}
{"index":{"_id":"870"}}
{"account_number":870,"balance":43882,"firstname":"Goff","lastname":"Phelps","age":21,"gender":"M","address":"164 Montague Street","employer":"Digigen","email":"goffphelps@digigen.com","city":"Weedville","state":"IL"}
{"index":{"_id":"875"}}
{"account_number":875,"balance":19655,"firstname":"Mercer","lastname":"Pratt","age":24,"gender":"M","address":"608 Perry Place","employer":"Twiggery","email":"mercerpratt@twiggery.com","city":"Eggertsville","state":"MO"}
{"index":{"_id":"882"}}
{"account_number":882,"balance":10895,"firstname":"Mari","lastname":"Landry","age":39,"gender":"M","address":"963 Gerald Court","employer":"Kenegy","email":"marilandry@kenegy.com","city":"Lithium","state":"NC"}
{"index":{"_id":"887"}}
{"account_number":887,"balance":31772,"firstname":"Eunice","lastname":"Watts","age":36,"gender":"F","address":"707 Stuyvesant Avenue","employer":"Memora","email":"eunicewatts@memora.com","city":"Westwood","state":"TN"}
{"index":{"_id":"894"}}
{"account_number":894,"balance":1031,"firstname":"Tyler","lastname":"Fitzgerald","age":32,"gender":"M","address":"787 Meserole Street","employer":"Jetsilk","email":"tylerfitzgerald@jetsilk.com","city":"Woodlands","state":"WV"}
{"index":{"_id":"899"}}
{"account_number":899,"balance":32953,"firstname":"Carney","lastname":"Callahan","age":23,"gender":"M","address":"724 Kimball Street","employer":"Mangelica","email":"carneycallahan@mangelica.com","city":"Tecolotito","state":"MT"}
{"index":{"_id":"902"}}
{"account_number":902,"balance":13345,"firstname":"Hallie","lastname":"Jarvis","age":23,"gender":"F","address":"237 Duryea Court","employer":"Anixang","email":"halliejarvis@anixang.com","city":"Boykin","state":"IN"}
{"index":{"_id":"907"}}
{"account_number":907,"balance":12961,"firstname":"Ingram","lastname":"William","age":36,"gender":"M","address":"826 Overbaugh Place","employer":"Genmex","email":"ingramwilliam@genmex.com","city":"Kimmell","state":"AK"}
{"index":{"_id":"914"}}
{"account_number":914,"balance":7120,"firstname":"Esther","lastname":"Bean","age":32,"gender":"F","address":"583 Macon Street","employer":"Applica","email":"estherbean@applica.com","city":"Homeworth","state":"MN"}
{"index":{"_id":"919"}}
{"account_number":919,"balance":39655,"firstname":"Shauna","lastname":"Hanson","age":27,"gender":"M","address":"557 Hart Place","employer":"Exospace","email":"shaunahanson@exospace.com","city":"Outlook","state":"LA"}
{"index":{"_id":"921"}}
{"account_number":921,"balance":49119,"firstname":"Barbara","lastname":"Wade","age":29,"gender":"M","address":"687 Hoyts Lane","employer":"Roughies","email":"barbarawade@roughies.com","city":"Sattley","state":"CO"}
{"index":{"_id":"926"}}
{"account_number":926,"balance":49433,"firstname":"Welch","lastname":"Mcgowan","age":21,"gender":"M","address":"833 Quincy Street","employer":"Atomica","email":"welchmcgowan@atomica.com","city":"Hampstead","state":"VT"}
{"index":{"_id":"933"}}
{"account_number":933,"balance":18071,"firstname":"Tabitha","lastname":"Cole","age":21,"gender":"F","address":"916 Rogers Avenue","employer":"Eclipto","email":"tabithacole@eclipto.com","city":"Lawrence","state":"TX"}
{"index":{"_id":"938"}}
{"account_number":938,"balance":9597,"firstname":"Sharron","lastname":"Santos","age":40,"gender":"F","address":"215 Matthews Place","employer":"Zenco","email":"sharronsantos@zenco.com","city":"Wattsville","state":"VT"}
{"index":{"_id":"940"}}
{"account_number":940,"balance":23285,"firstname":"Melinda","lastname":"Mendoza","age":38,"gender":"M","address":"806 Kossuth Place","employer":"Kneedles","email":"melindamendoza@kneedles.com","city":"Coaldale","state":"OK"}
{"index":{"_id":"945"}}
{"account_number":945,"balance":23085,"firstname":"Hansen","lastname":"Hebert","age":33,"gender":"F","address":"287 Conduit Boulevard","employer":"Capscreen","email":"hansenhebert@capscreen.com","city":"Taycheedah","state":"AK"}
{"index":{"_id":"952"}}
{"account_number":952,"balance":21430,"firstname":"Angelique","lastname":"Weeks","age":33,"gender":"M","address":"659 Reeve Place","employer":"Exodoc","email":"angeliqueweeks@exodoc.com","city":"Turpin","state":"MD"}
{"index":{"_id":"957"}}
{"account_number":957,"balance":11373,"firstname":"Michael","lastname":"Giles","age":31,"gender":"M","address":"668 Court Square","employer":"Yogasm","email":"michaelgiles@yogasm.com","city":"Rosburg","state":"WV"}
{"index":{"_id":"964"}}
{"account_number":964,"balance":26154,"firstname":"Elena","lastname":"Waller","age":34,"gender":"F","address":"618 Crystal Street","employer":"Insurety","email":"elenawaller@insurety.com","city":"Gallina","state":"NY"}
{"index":{"_id":"969"}}
{"account_number":969,"balance":22214,"firstname":"Briggs","lastname":"Lynn","age":30,"gender":"M","address":"952 Lester Court","employer":"Quinex","email":"briggslynn@quinex.com","city":"Roland","state":"ID"}
{"index":{"_id":"971"}}
{"account_number":971,"balance":22772,"firstname":"Gabrielle","lastname":"Reilly","age":32,"gender":"F","address":"964 Tudor Terrace","employer":"Blanet","email":"gabriellereilly@blanet.com","city":"Falmouth","state":"AL"}
{"index":{"_id":"976"}}
{"account_number":976,"balance":31707,"firstname":"Mullen","lastname":"Tanner","age":26,"gender":"M","address":"711 Whitney Avenue","employer":"Pulze","email":"mullentanner@pulze.com","city":"Mooresburg","state":"MA"}
{"index":{"_id":"983"}}
{"account_number":983,"balance":47205,"firstname":"Mattie","lastname":"Eaton","age":24,"gender":"F","address":"418 Allen Avenue","employer":"Trasola","email":"mattieeaton@trasola.com","city":"Dupuyer","state":"NJ"}
{"index":{"_id":"988"}}
{"account_number":988,"balance":17803,"firstname":"Lucy","lastname":"Castro","age":34,"gender":"F","address":"425 Fleet Walk","employer":"Geekfarm","email":"lucycastro@geekfarm.com","city":"Mulino","state":"VA"}
{"index":{"_id":"990"}}
{"account_number":990,"balance":44456,"firstname":"Kelly","lastname":"Steele","age":35,"gender":"M","address":"809 Hoyt Street","employer":"Eschoir","email":"kellysteele@eschoir.com","city":"Stewartville","state":"ID"}
{"index":{"_id":"995"}}
{"account_number":995,"balance":21153,"firstname":"Phelps","lastname":"Parrish","age":25,"gender":"M","address":"666 Miller Place","employer":"Pearlessa","email":"phelpsparrish@pearlessa.com","city":"Brecon","state":"ME"}

四.进阶检索

1.SearchAPI

ES支持两种基本的方式检索:

• 一个是通过使用REST request URI 发送搜索参数(uri+检索参数)
• 另一个是通过使用 REST request body来发送它们(uri+请求体)

1.1 检索信息

一切检索从_search开始

1.1.1 使用uri+检索参数的方式进行检索

GET bank/_search //检索bank下所有信息,包含type和docs
GET bank/_search?q=*&sort=account_number:asc   //请求参数方式检索
//q=*表示查询所有
//sort=account_number:asc 按照account_number进行升序排序
//相应的结果解析
{
    "took":29,//执行搜索的时间
    "time_out":false, //搜索是否超时
    "_shards":{.....},//有多少个分片被搜索了，以及统计成功/失败的搜索分片
    "hits":{.......}//搜索的结果
}

完整的响应结果

{
  "took" : 29,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 1000,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [
      {
        "_index" : "bank",
        "_type" : "account",
        "_id" : "0",
        "_score" : null,
        "_source" : {
          "account_number" : 0,
          "balance" : 16623,
          "firstname" : "Bradshaw",
          "lastname" : "Mckenzie",
          "age" : 29,
          "gender" : "F",
          "address" : "244 Columbus Place",
          "employer" : "Euron",
          "email" : "bradshawmckenzie@euron.com",
          "city" : "Hobucken",
          "state" : "CO"
        },
        "sort" : [
          0
        ]
      },
      {
        "_index" : "bank",
        "_type" : "account",
        "_id" : "1",
        "_score" : null,
        "_source" : {
          "account_number" : 1,
          "balance" : 39225,
          "firstname" : "Amber",
          "lastname" : "Duke",
          "age" : 32,
          "gender" : "M",
          "address" : "880 Holmes Lane",
          "employer" : "Pyrami",
          "email" : "amberduke@pyrami.com",
          "city" : "Brogan",
          "state" : "IL"
        },
        "sort" : [
          1
        ]
      },
      {
        "_index" : "bank",
        "_type" : "account",
        "_id" : "2",
        "_score" : null,
        "_source" : {
          "account_number" : 2,
          "balance" : 28838,
          "firstname" : "Roberta",
          "lastname" : "Bender",
          "age" : 22,
          "gender" : "F",
          "address" : "560 Kingsway Place",
          "employer" : "Chillium",
          "email" : "robertabender@chillium.com",
          "city" : "Bennett",
          "state" : "LA"
        },
        "sort" : [
          2
        ]
      },
      {
        "_index" : "bank",
        "_type" : "account",
        "_id" : "3",
        "_score" : null,
        "_source" : {
          "account_number" : 3,
          "balance" : 44947,
          "firstname" : "Levine",
          "lastname" : "Burks",
          "age" : 26,
          "gender" : "F",
          "address" : "328 Wilson Avenue",
          "employer" : "Amtap",
          "email" : "levineburks@amtap.com",
          "city" : "Cochranville",
          "state" : "HI"
        },
        "sort" : [
          3
        ]
      },
      {
        "_index" : "bank",
        "_type" : "account",
        "_id" : "4",
        "_score" : null,
        "_source" : {
          "account_number" : 4,
          "balance" : 27658,
          "firstname" : "Rodriquez",
          "lastname" : "Flores",
          "age" : 31,
          "gender" : "F",
          "address" : "986 Wyckoff Avenue",
          "employer" : "Tourmania",
          "email" : "rodriquezflores@tourmania.com",
          "city" : "Eastvale",
          "state" : "HI"
        },
        "sort" : [
          4
        ]
      },
      {
        "_index" : "bank",
        "_type" : "account",
        "_id" : "5",
        "_score" : null,
        "_source" : {
          "account_number" : 5,
          "balance" : 29342,
          "firstname" : "Leola",
          "lastname" : "Stewart",
          "age" : 30,
          "gender" : "F",
          "address" : "311 Elm Place",
          "employer" : "Diginetic",
          "email" : "leolastewart@diginetic.com",
          "city" : "Fairview",
          "state" : "NJ"
        },
        "sort" : [
          5
        ]
      },
      {
        "_index" : "bank",
        "_type" : "account",
        "_id" : "6",
        "_score" : null,
        "_source" : {
          "account_number" : 6,
          "balance" : 5686,
          "firstname" : "Hattie",
          "lastname" : "Bond",
          "age" : 36,
          "gender" : "M",
          "address" : "671 Bristol Street",
          "employer" : "Netagy",
          "email" : "hattiebond@netagy.com",
          "city" : "Dante",
          "state" : "TN"
        },
        "sort" : [
          6
        ]
      },
      {
        "_index" : "bank",
        "_type" : "account",
        "_id" : "7",
        "_score" : null,
        "_source" : {
          "account_number" : 7,
          "balance" : 39121,
          "firstname" : "Levy",
          "lastname" : "Richard",
          "age" : 22,
          "gender" : "M",
          "address" : "820 Logan Street",
          "employer" : "Teraprene",
          "email" : "levyrichard@teraprene.com",
          "city" : "Shrewsbury",
          "state" : "MO"
        },
        "sort" : [
          7
        ]
      },
      {
        "_index" : "bank",
        "_type" : "account",
        "_id" : "8",
        "_score" : null,
        "_source" : {
          "account_number" : 8,
          "balance" : 48868,
          "firstname" : "Jan",
          "lastname" : "Burns",
          "age" : 35,
          "gender" : "M",
          "address" : "699 Visitation Place",
          "employer" : "Glasstep",
          "email" : "janburns@glasstep.com",
          "city" : "Wakulla",
          "state" : "AZ"
        },
        "sort" : [
          8
        ]
      },
      {
        "_index" : "bank",
        "_type" : "account",
        "_id" : "9",
        "_score" : null,
        "_source" : {
          "account_number" : 9,
          "balance" : 24776,
          "firstname" : "Opal",
          "lastname" : "Meadows",
          "age" : 39,
          "gender" : "M",
          "address" : "963 Neptune Avenue",
          "employer" : "Cedward",
          "email" : "opalmeadows@cedward.com",
          "city" : "Olney",
          "state" : "OH"
        },
        "sort" : [
          9
        ]
      }
    ]
  }
}

1.1.2 使用uri+请求体的方式进行检索

GET /bank/_search 
{
  "query": { 
      "match_all": {} //查询所有（匹配条件）
  },
  "sort": [//排序规则
    {
        "account_number": "asc"//根据account_number升序
    },
    { 
        "balance":"desc" //根据balance降序
    }
  ]
}

2.Query DSL

2.1 基本的语法

GET /bank/_search
{
  "query": { //查询操作
    "match_all": {} //查询的条件 
  },
  "sort": [ //排序的条件（数组，可以指定多个排序规则）
    {
      "balance": { //排序的字段
        "order": "desc" //排序的规则（升序或者降序）
      }
    }
  ],
  "from": 0,//分页字段，从第几页开始
  "size": 5,//每页的记录数
  "_source": ["balance","firstname"] //返回指定的字段
}

2.2 match查询[匹配查询]

根据某个字段的值进行匹配查询

//查询account_number是20的数据
GET /bank/_search
{
  "query": {
   "match": { //查询account_number是20的数据
     "account_number": "20"
   }
  }
}

模糊匹配

对检索的条件进行分词匹配，按照评分的进行排序

//查询地址中包含mill或者lane或者mill lane的数据
GET /bank/_search
{
  "query": {
    "match": {
      "address": "Mill lane" //查询地址中包含Mill或者lane中一个或者多个的数据,然后按照命中的评分排序
    }
  }
}

2.3 match_phrase[短语匹配]

匹配的短语不分割进行匹配，一整个进行匹配

//查询地址中包含Mill lane短语的数据
GET /bank/_search
{
  "query": {
    "match_phrase": {
      "address": "Mill lane" //查询包含整个Mill lane的数据
    }
  }
}

2.4 multi_match[多字段匹配]

//查询state和address中包含mill的数据
GET /bank/_search
{
  "query": {
    "multi_match": { //查询在state或者在address字段中包含mill的数据
      "query": "mill",//多字段匹配在查询的时候也会分词进行匹配
      "fields": ["state","address"]
    }
  }
}

2.5 bool[复合查询]

//查询性别是M和地址中包含mill并且年龄不是28，lastname最好是Hines的数据
GET /bank/_search
{
  "query": {
    "bool": { //多条件复合查询
      "must": [ //必须符合的条件
        {"match": {
          "gender": "M"
        }},
        {"match": {
          "address": "mill"
        }}
      ],
      "must_not": [//必须不符合的条件
        {"match": {
          "age": "38"
        }}
      ],
      "should": [
        {"match": {
          "lastname": "Hines" //最好lastname是Hines,满足这个条件的得分会高一些
        }}
      ]
    }
  }
}

2.6 Filter[结果过滤]

使用Filter进行检索相比上面的检索，不会影响过滤结果的得分（上面的检索都可以通过Filter实现）

举例:未使用filter的查询:

//查询年龄在18-20之间的所有数据
GET /bank/_search
{
  "query": {
    "bool": {
      "must": [
        {"range": {
          "age": {
            "gte": 18,
            "lte": 30
          }
        }}
      ]
    }
  }
}

有得分的变化

使用了Filter的查询:

GET /bank/_search
{
  "query": {
    "bool": {
      "filter": {
        "range": {
           "age": {
            "gte": 18,
            "lte": 30
          }
        }
      }
    }
  }
}

没有得分的变化

Filter可以和上面的检索条件一起使用

GET /bank/_search
{
  "query": {
      
    "bool": {
        
      "must": [
        {"match": {
          "gender": "M"
        }},
        {"match": {
          "address": "mill"
        }}
      ],
        
      "must_not": [
        {"match": {
          "age": "18"
        }}
      ],
        
      "should": [
        {"match": {
          "lastname": "Wallace"
        }}
      ],
        
      "filter": [
       {"range": {
         "age": {
           "gte": 18,
           "lte": 30
         }
       }}
      ]
    }
  }
}

2.7 term

和match一样，匹配某个属性的值。全文检索字段用match，其他非text字段匹配用term(精确性字段推荐使用term，例如年龄,数量等)

GET /bank/_search
{
  "query": {
    "term": {//精确的使用term，全文检索字段用match
      "age": "28"
    }
  }
}

2.8 aggregations[执行聚合]

聚合提供了从数据中分组和提取数据的能力.类似于MySql中的Group by函数

搜索address中包含mill的所有人的年龄分布以及平均年龄

//搜索address中包含mill的所有人的年龄分布以及平均年龄
GET /bank/_search
{
  "query": {
    "match": {
      "address": "mill"
    }
  },
  "aggs": {
    "ageAgg": {
      "terms": {//查看年龄的分布情况
        "field": "age",
        "size": 10
      }
    },
    "ageAvg":{//年龄平均值
      "avg": {
        "field": "age"
      }
    },
    "balanceAvg":{//工资的平均值
      "avg": {
        "field": "balance"
      }
    }
  }
}

按照年龄聚合，并且获取这些年龄段的这些人的平均薪资[子聚合]

//按照年龄聚合，并且获取这些年龄段的这些人的平均薪资
GET /bank/_search
{
  "query": {
    "match_all": {}
  },
  "aggs": {
    "ageAgg": {//年龄段的聚合
      "terms": {
        "field": "age",
        "size": 100
      },
      "aggs": {
        "ageAvg": {//年龄段的聚合里面嵌套一个求年龄平均值的聚合
          "avg": {
            "field": "balance"
          }
        }
      }
    }
  }
}

查询所有年龄分布，并且这些年龄段中男的平均工资和女的平均工资以及这个年龄段的总体平均薪资

GET /bank/_search
{
  "query": {
    "match_all": {}
  },
  "aggs": {
    "avgAgg": {
      "terms": {//根据年龄进行分段
        "field": "age",
        "size": 100
      },
      "aggs": {
        "genderAgg": {
          "terms": {//根据性别进行分段
            "field": "gender.keyword"
          },
          "aggs": {
            "balanceAvg": {
              "avg": {//求出每个年龄段对应的不同性别的平均工资
                "field": "balance"
              }
            }
          }
        },
        "ageBalanceAvg": {//计算每个年龄段对应的平均工资
          "avg": {
            "field": "balance"
          }
        }
      }
    }
  }
}

3.Mapping

指定ES中数据的数据类型

3.1 创建映射

在创建索引的时候我们可以指定属性名的数据类型

##创建一个新的索引,指定索引下字段的映射关系
PUT /my_index
{
  "mappings": {
    "properties": {
      "age":{"type": "integer"},
      "email":{"type": "keyword"},
      "name":{"type": "text"}
    }
  }
}

3.2 添加新的映射

##添加一个映射
PUT /my_index/_mapping
{
  "properties": {
    "employee-id": {
      "type": "keyword",
      "index": false //表示这个字段不参与检索
    }
  }
}

3.3 更新映射

对于已经存在的映射字段，我们不能更新，更新必须创建新的索引进行数据迁移

3.4 数据迁移

1.创建一个新的索引并指定映射

PUT /new_bank
{
  "mappings": {
    "properties": {
      "account_number": {
        "type": "long"
      },
      "address": {
        "type": "text"
      },
      "age": {
        "type": "integer"
      },
      "balance": {
        "type": "long"
      },
      "city": {
        "type": "keyword"
      },
      "email": {
        "type": "keyword"
      },
      "employer": {
        "type": "keyword"
      },
      "firstname": {
        "type": "text"
      },
      "gender": {
        "type": "keyword"
      },
      "lastname": {
        "type": "keyword"
      },
      "state": {
        "type": "keyword"
      }
    }
  }
}

2.数据迁移

//新版本的写法（6.0以后）
POST _reindex
{
    "source":{
        "index":"twitter"  //老的索引
    },
    "dest":{
        "index":"new_twitter" //新的索引
    }
}
//旧版本需要指定数据类型
#数据迁移
POST _reindex
{
  "source": {
    "index": "bank",
    "type": "account"
  },
  "dest": {
    "index": "new_bank"
  }
}

4.分词

4.1 安装分词器

安装地址: https://github.com/medcl/elasticsearch-analysis-ik

#切换到es挂载在注解的plugins目录
cd /mydata/elasticsearch/plugins/
#安装wget
yum install wget 
#下载ik分词器的压缩包(下载的速度不是很快(5分钟左右)，建议本地下载好了之后，上传上去)
wget https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.4.2/elasticsearch-analysis-ik-7.4.2.zip
#进入容器内部查看一下文件是否同步到了容器的内部
docker exec -it 容器Id /bin/bash
#切换到plugins目录中去,这时目录中也存在elasticsearch-analysis-ik-7.4.2.zip这个压缩包
cd plugins/   #使用ls查看一下
#退出容器
exit
#在主机下解压elasticsearch-analysis-ik-7.4.2.zip这个压缩包
#zip的解压需要使用unzip解压命令 这里我们直接在本地解压一下 上传到plugins目录（解压的文件名为ik）
#安装unzip
yum install -y unzip
#查看ik分词器是否安装成功
docker exec -it 容器Id /bin/bash
#切换到bin目录
cd bin/
#执行下面的命令，有ik显示即为安装成功
elasticsearch-plugin list
#退出容器，重启一下
docker restart elasticsearch

测试使用

4.2 自定义词库

1.安装nginx，用作设置ik的远程分词库

#创建nginx容器挂载的目录
mkdir /mydata/nginx/conf
#拉取nginx的镜像
docker pull nginx:1.10
#随便启动一个nginx实例，为了复制其配置
docker run -p 80:80 --name nginx -d nginx:1.10
#将容器内的配置文件拷贝到conf目录(注意这里有个点和空格)
#注意在nginx的目录下操作,(成功之后/mydata/nginx/conf目录下会有相应的配置文件和目录)
docker container cp nginx:/etc/nginx /mydata/nginx/conf
#停掉并删除之前的启动的nginx
docker stop nginx
docker rm nginx
#正式的启动容器
docker run -p 80:80 --name nginx \
-v /mydata/nginx/html:/usr/share/nginx/html \
-v /mydata/nginx/logs:/var/log/nginx \
-v /mydata/nginx/conf:/etc/nginx \
-d nginx:1.10
#设置开机自启
docker update nginx --restart=always

2.配置自定义的词库

#在nginx外部挂载的html目录下创建相应的目录
mkdir es
#创建分词需要使用的文本文件
vim fenci.txt
#在这个文本文件中加入我们需要添加的新词
#例如：奥里给 老铁之类的
#在浏览器上可以通过http://192.168.195.100/es/fenci.txt访问到里面的内容

3.配置es远程词库的地址

#切换到ik分词器配置文件所在的目录
cd elasticsearch/plugins/ik/config/
#修改配置文件，设置远程分词库的地址
vim IKAnalyzer.cfg.xml

#重启es
docker restart elasticsearch

4.测试一下（这时我们使用网络中新颖的词就可以识别成一个词语）

五.Elasticsearch-Rest-Client

1.环境配置

1.导入依赖

<!--指定版本-->
<properties>
    <elasticsearch.version>7.4.2</elasticsearch.version>
</properties>
<!--ES的依赖-->
<dependency>
    <groupId>org.elasticsearch.client</groupId>
    <artifactId>elasticsearch-rest-high-level-client</artifactId>
    <version>7.4.2</version>
</dependency>

2.编写配置文件

import org.apache.http.HttpHost;
import org.apache.http.HttpResponse;
import org.apache.http.nio.protocol.HttpAsyncResponseConsumer;
import org.elasticsearch.client.HttpAsyncResponseConsumerFactory;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

/**
 * @author Jason Gong
 * @version 1.0
 * @Date 2023/7/3
 * @Description ES的配置文件
 */
@Configuration
public class ElasticSearchConfig {


    //通用设置项
    public static final RequestOptions COMMON_OPTIONS;
    static {
        RequestOptions.Builder builder = RequestOptions.DEFAULT.toBuilder();

        COMMON_OPTIONS = builder.build();
    }


    @Bean
    public RestHighLevelClient esRestClient() {
        RestHighLevelClient client = new RestHighLevelClient(
                RestClient.builder(
                        new HttpHost("192.168.195.100", 9200, "http")
                )
        );
        return client;
    }
}

3.测试使用

package com.atguigu.gulimall.search;

import org.elasticsearch.client.RestHighLevelClient;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;

@SpringBootTest
class GulimallSearchApplicationTests {

	@Autowired
	private RestHighLevelClient client;
	@Test
	void contextLoads() {
		System.out.println(client);
	}

}

2.代码操作ES

2.1 创建索引

/**
     * 创建一个索引
     */
@Test
void testCreateIndex() throws IOException {
    CreateIndexRequest request = new CreateIndexRequest("test_create");
    CreateIndexResponse createIndexResponse = client.indices().create(request, RequestOptions.DEFAULT);
    log.info("创建一个索引:{}",createIndexResponse);
}

2.2 判断索引是否存在

/**
    * 判断索引是否存在
    */
   @Test
   void testExistIndex() throws IOException {
       GetIndexRequest request = new GetIndexRequest("users");
       boolean exists = client.indices().exists(request, RequestOptions.DEFAULT);
       log.info("索引是否存在:{}",exists);
   }

2.3 删除索引

/**
     * 删除索引
     */
    @Test
    void testDeleteIndex() throws IOException {
        DeleteIndexRequest request = new DeleteIndexRequest("test_create");
        AcknowledgedResponse delete = client.indices().delete(request, RequestOptions.DEFAULT);
        System.out.println(delete.isAcknowledged());
    }

2.4 保存文档

 /**
     * 测试向es中存储数据
     * 保存和修改的操作
     */
@Test
void indexData() throws IOException {
    //在users索引下存储数据
    IndexRequest indexRequest = new IndexRequest("users");
    //存储的数据的id
    indexRequest.id("1");
    //第一种方式
    //indexRequest.source("userName","zhangSan","age",18,"gender","男");
    //第二种方式
    User user = new User("tom","男",22);
    String jsonString = JSON.toJSONString(user);
    indexRequest.source(jsonString, XContentType.JSON);
    //执行真正的保存操作
    //下面方法的第二个参数也可以使用这个参数GulimallElasticSearchConfig.COMMON_OPTIONS
    IndexResponse index = client.index(indexRequest, RequestOptions.DEFAULT);
    log.info("保存之后响应的数据:{}",index);
}

2.5 判断文档是否存在

/**
     * 判断文档是否存在
     */
@Test
void testIsExists() throws IOException {
    GetRequest getRequest = new GetRequest("users", "1");
    getRequest.fetchSourceContext(new FetchSourceContext(false));
    getRequest.storedFields("_none_");
    boolean exists = client.exists(getRequest, RequestOptions.DEFAULT);
    System.out.println(exists);
}

2.6 获取文档信息

/**
     * 获取文档的信息
     */
@Test
void testGetDocument() throws IOException {
    GetRequest getRequest = new GetRequest("users", "1");
    GetResponse getResponse = client.get(getRequest, RequestOptions.DEFAULT);
    System.out.println(getResponse.getSourceAsString());
    System.out.println(getResponse);
}

2.7 修改文档信息

/**
     * 更新文档的信息
     */
@Test
void testUpdateRequest() throws IOException {
    UpdateRequest updateRequest = new UpdateRequest("users", "1");
    updateRequest.timeout("1s");
    User user = new User("修改之后的用户名", "男",23);
    updateRequest.doc(JSON.toJSONString(user), XContentType.JSON);
    UpdateResponse updateResponse = client.update(updateRequest, RequestOptions.DEFAULT);
    System.out.println(updateResponse.status());
}

2.8 删除文档记录

/**
     * 删除文档记录
     */
@Test
void testDeleteRequest() throws IOException {
    DeleteRequest request = new DeleteRequest("users", "1");
    request.timeout("1s");
    DeleteResponse deleteResponse = client.delete(request, RequestOptions.DEFAULT);
    System.out.println(deleteResponse.status());
}

2.9 批量添加

/**
     * 批量添加文档
     */
@Test
void testBulkRequest() throws IOException {
    BulkRequest bulkRequest = new BulkRequest();
    bulkRequest.timeout("10s");
    ArrayList<User> userList = new ArrayList<>();
    userList.add(new User("A", "男",23));
    userList.add(new User("B", "男",32));
    userList.add(new User("C", "女",34));
    userList.add(new User("D", "女",56));
    userList.add(new User("E", "男",34));
    userList.add(new User("F", "女",65));
    // 批处理请求
    for (int i = 0; i < userList.size(); i++) {
        // 批量更新和批量删除，就在这里修改对应的请求就可以了
        bulkRequest.add(new IndexRequest("users").id("" + (i + 1))
                        .source(JSON.toJSONString(userList.get(i)), XContentType.JSON));
    }
    BulkResponse bulkResponse = client.bulk(bulkRequest, RequestOptions.DEFAULT);
    System.out.println("是否批量添加成功:"+!bulkResponse.hasFailures());
}

2.10 条件查询

/**
     * 检索的方法
     */
@Test
void testSearchRequest() throws IOException {
    //1.创建一个检索请求
    SearchRequest searchRequest = new SearchRequest();
    //设置检索的索引
    searchRequest.indices("bank");
    //指定DSL,检索条件
    SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
    sourceBuilder.query(QueryBuilders.matchQuery("address", "mill"));//查询地址中包含mill的数据
    sourceBuilder.aggregation(AggregationBuilders.terms("ageAgg").field("age").size(10));//聚合名ageAgg，根据age字段聚合,只取10条
    sourceBuilder.aggregation(AggregationBuilders.avg("balanceAvg").field("balance"));//求平均工资
    System.out.println("检索的条件:" + sourceBuilder);
    searchRequest.source(sourceBuilder);

    //2.执行检索
    SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);

    //3.分析检索的结果
    System.out.println("查询到的数据:" + searchResponse.toString());
    //Map map = JSON.parseObject(searchResponse.toString(), Map.class);//可以转换成一个map
    SearchHits hits = searchResponse.getHits();//拿到命中的记录
    for (SearchHit hit : hits) {
        String index = hit.getIndex();//获取索引信息
        String type = hit.getType();//类型信息
        String id = hit.getId();//id信息
        float score = hit.getScore();//得分信息
        TimeValue took = searchResponse.getTook();
        String sourceAsString = hit.getSourceAsString();//直接转化成对应的java对象
        //转换成Account对象
        Account account = JSON.parseObject(sourceAsString, Account.class);
        System.out.println("Account:" + account);
    }

    //获取聚合分析的信息
    //获取年龄的分段信息
    Aggregations aggregations = searchResponse.getAggregations();
    Terms ageAgg = aggregations.get("ageAgg");
    for (Terms.Bucket bucket : ageAgg.getBuckets()) {

        System.out.println("年龄:" + bucket.getKeyAsString() + "有" + bucket.getDocCount() + "人");
    }
    //获取薪资的平均值
    Avg balanceAvg = aggregations.get("balanceAvg");
    System.out.println("平均薪资:" + balanceAvg.getValue());
}

示例的完整代码

package com.atguigu.gulimall.search;

import com.alibaba.fastjson.JSON;
import com.atguigu.gulimall.search.config.GulimallElasticSearchConfig;
import lombok.Data;
import lombok.ToString;
import lombok.extern.slf4j.Slf4j;
import org.elasticsearch.action.admin.indices.delete.DeleteIndexRequest;
import org.elasticsearch.action.bulk.BulkRequest;
import org.elasticsearch.action.bulk.BulkResponse;
import org.elasticsearch.action.delete.DeleteRequest;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.action.get.GetRequest;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.action.index.IndexRequest;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.action.support.master.AcknowledgedResponse;
import org.elasticsearch.action.update.UpdateRequest;
import org.elasticsearch.action.update.UpdateResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.CreateIndexRequest;
import org.elasticsearch.client.indices.CreateIndexResponse;
import org.elasticsearch.client.indices.GetIndexRequest;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.common.xcontent.XContentType;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilder;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.Aggregations;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.metrics.Avg;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.FetchSourceContext;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;

import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;

@Slf4j
@SpringBootTest
class GulimallSearchApplicationTests {

    @Autowired
    private RestHighLevelClient client;

    @Test
    void contextLoads() {
        System.out.println(client);
    }

    /**
     * 测试向es中存储数据
     * 保存和修改的操作
     */
    @Test
    void indexData() throws IOException {
        //在users索引下存储数据
        IndexRequest indexRequest = new IndexRequest("users");
        //存储的数据的id
        indexRequest.id("1");
        //第一种方式
        //indexRequest.source("userName","zhangSan","age",18,"gender","男");
        //第二种方式
        User user = new User("tom", "男", 22);
        String jsonString = JSON.toJSONString(user);
        indexRequest.source(jsonString, XContentType.JSON);
        //执行真正的保存操作
        //下面方法的第二个参数也可以使用这个参数GulimallElasticSearchConfig.COMMON_OPTIONS
        IndexResponse index = client.index(indexRequest, RequestOptions.DEFAULT);
        log.info("保存之后响应的数据:{}", index);
    }

    /**
     * 判断索引是否存在
     */
    @Test
    void testExistIndex() throws IOException {
        GetIndexRequest request = new GetIndexRequest("users");
        boolean exists = client.indices().exists(request, RequestOptions.DEFAULT);
        log.info("索引是否存在:{}", exists);
    }

    /**
     * 创建一个索引
     */
    @Test
    void testCreateIndex() throws IOException {
        CreateIndexRequest request = new CreateIndexRequest("test_create");
        CreateIndexResponse createIndexResponse = client.indices().create(request, RequestOptions.DEFAULT);
        log.info("创建一个索引:{}", createIndexResponse);
    }


    /**
     * 删除索引
     */
    @Test
    void testDeleteIndex() throws IOException {
        DeleteIndexRequest request = new DeleteIndexRequest("users");
        AcknowledgedResponse delete = client.indices().delete(request, RequestOptions.DEFAULT);
        System.out.println(delete.isAcknowledged());
    }


    /**
     * 判断文档是否存在
     */
    @Test
    void testIsExists() throws IOException {
        GetRequest getRequest = new GetRequest("users", "1");
        getRequest.fetchSourceContext(new FetchSourceContext(false));
        getRequest.storedFields("_none_");
        boolean exists = client.exists(getRequest, RequestOptions.DEFAULT);
        System.out.println(exists);
    }

    /**
     * 获取文档的信息
     */
    @Test
    void testGetDocument() throws IOException {
        GetRequest getRequest = new GetRequest("users", "1");
        GetResponse getResponse = client.get(getRequest, RequestOptions.DEFAULT);
        System.out.println(getResponse.getSourceAsString());
        System.out.println(getResponse);
    }


    /**
     * 更新文档的信息
     */
    @Test
    void testUpdateRequest() throws IOException {
        UpdateRequest updateRequest = new UpdateRequest("users", "1");
        updateRequest.timeout("1s");
        User user = new User("修改之后的用户名", "男", 23);
        updateRequest.doc(JSON.toJSONString(user), XContentType.JSON);
        UpdateResponse updateResponse = client.update(updateRequest, RequestOptions.DEFAULT);
        System.out.println(updateResponse.status());
    }

    /**
     * 删除文档记录
     */
    @Test
    void testDeleteRequest() throws IOException {
        DeleteRequest request = new DeleteRequest("users", "1");
        request.timeout("1s");
        DeleteResponse deleteResponse = client.delete(request, RequestOptions.DEFAULT);
        System.out.println(deleteResponse.status());
    }

    /**
     * 批量添加文档
     */
    @Test
    void testBulkRequest() throws IOException {
        BulkRequest bulkRequest = new BulkRequest();
        bulkRequest.timeout("10s");
        ArrayList<User> userList = new ArrayList<>();
        userList.add(new User("A", "男", 23));
        userList.add(new User("B", "男", 32));
        userList.add(new User("C", "女", 34));
        userList.add(new User("D", "女", 56));
        userList.add(new User("E", "男", 34));
        userList.add(new User("F", "女", 65));
        // 批处理请求
        for (int i = 0; i < userList.size(); i++) {
            // 批量更新和批量删除，就在这里修改对应的请求就可以了
            bulkRequest.add(new IndexRequest("users").id("" + (i + 1))
                    .source(JSON.toJSONString(userList.get(i)), XContentType.JSON));
        }
        BulkResponse bulkResponse = client.bulk(bulkRequest, RequestOptions.DEFAULT);
        System.out.println("是否批量添加成功:" + !bulkResponse.hasFailures());
    }


    /**
     * 检索的方法
     */
    @Test
    void testSearchRequest() throws IOException {
        //1.创建一个检索请求
        SearchRequest searchRequest = new SearchRequest();
        //设置检索的索引
        searchRequest.indices("bank");
        //指定DSL,检索条件
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.query(QueryBuilders.matchQuery("address", "mill"));//查询地址中包含mill的数据
        sourceBuilder.aggregation(AggregationBuilders.terms("ageAgg").field("age").size(10));//聚合名ageAgg，根据age字段聚合,只取10条
        sourceBuilder.aggregation(AggregationBuilders.avg("balanceAvg").field("balance"));//求平均工资
        System.out.println("检索的条件:" + sourceBuilder);
        searchRequest.source(sourceBuilder);

        //2.执行检索
        SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);

        //3.分析检索的结果
        System.out.println("查询到的数据:" + searchResponse.toString());
        //Map map = JSON.parseObject(searchResponse.toString(), Map.class);//可以转换成一个map
        SearchHits hits = searchResponse.getHits();//拿到命中的记录
        for (SearchHit hit : hits) {
            String index = hit.getIndex();//获取索引信息
            String type = hit.getType();//类型信息
            String id = hit.getId();//id信息
            float score = hit.getScore();//得分信息
            TimeValue took = searchResponse.getTook();
            String sourceAsString = hit.getSourceAsString();//直接转化成对应的java对象
            //转换成Account对象
            Account account = JSON.parseObject(sourceAsString, Account.class);
            System.out.println("Account:" + account);
        }

        //获取聚合分析的信息
        //获取年龄的分段信息
        Aggregations aggregations = searchResponse.getAggregations();
        Terms ageAgg = aggregations.get("ageAgg");
        for (Terms.Bucket bucket : ageAgg.getBuckets()) {

            System.out.println("年龄:" + bucket.getKeyAsString() + "有" + bucket.getDocCount() + "人");
        }
        //获取薪资的平均值
        Avg balanceAvg = aggregations.get("balanceAvg");
        System.out.println("平均薪资:" + balanceAvg.getValue());
    }

    @ToString
    @Data
    static class Account {
        private int account_number;
        private int balance;
        private String firstname;
        private String lastname;
        private int age;
        private String gender;
        private String address;
        private String employer;
        private String email;
        private String city;
        private String state;
    }


    @Data
    static class User {
        private String userName;
        private String gender;
        private Integer age;

        public User(String userName, String gender, Integer age) {
            this.userName = userName;
            this.gender = gender;
            this.age = age;
        }
    }

}