CURL 快速操作ES

Posted 2023-04-24

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参考技术A ?后面的是可选参数

curl -X GET "localhost:9200/_cat/health?v"

curl -X GET "localhost:9200/_cat/indices?v"

curl -X PUT "localhost:9200/customer?pretty"

curl -X DELETE "localhost:9200/customer?pretty"

curl -X PUT "localhost:9200/customer/_doc/1?pretty" -H 'Content-Type: application/json' -d'

"name": "John Doe"

'

curl -X GET "localhost:9200/customer/_doc/1?pretty"

curl -X POST "localhost:9200/customer/_doc/1/_update?pretty" -H 'Content-Type: application/json' -d'

"doc": "name": "Jane Doe"

'

curl -X POST "localhost:9200/customer/_doc/1/_update?pretty" -H 'Content-Type: application/json' -d'

"doc": "name": "Jane Doe", "age": 20

'

curl -X POST "localhost:9200/customer/_doc/1/_update?pretty" -H 'Content-Type: application/json' -d'

"script" : "ctx._source.age += 5"

'

curl -X DELETE "localhost:9200/customer/_doc/2?pretty"

curl -X POST "localhost:9200/customer/_doc/_bulk?pretty" -H 'Content-Type: application/json' -d'

"index":"_id":"1"

"name": "John Doe"

"index":"_id":"2"

"name": "Jane Doe"

'

curl -X POST "localhost:9200/customer/_doc/_bulk?pretty" -H 'Content-Type: application/json' -d'

"update":"_id":"1"

"doc": "name": "John Doe becomes Jane Doe"

"delete":"_id":"2"

'

curl -H "Content-Type: application/json" -XPOST "localhost:9200/bank/_doc/_bulk?pretty&refresh" --data-binary "@accounts.json"

样例数据

kibana操作elasticsearch快速上手

es在windows上安装注意kibana与elasticsearch与ik分词器版本号保持一致(6.6.0版本)

ES下载地址:Past Releases of Elastic Stack Software | Elastic

IK分词器下载地址:https://github.com/medcl/elasticsearch-analysis-ik/releases

kibana下载地址:https://www.elastic.co/cn/downloads/past-releases/#kibana

一.es整合ik

将es压缩包解压,在es的D:\\environments\\elasticsearch-6.6.0\\plugins路径下新建文件夹ik,将ik分词器解压到es中ik目录下.

二.启动es

双击D:\\environments\\elasticsearch-6.6.0\\bin下的elasticsearch.bat

验证是否启动成功

http://localhost:9200/

三.kibana连接es

在D:\\environments\\kibana-6.6.0-windows-x86_64\\config中的kibana.yml中添加

server.port: 5601 server.host: "localhost" elasticsearch.url: "http://127.0.0.1:9200" kibana.index: ".kibana"

四.启动kibana

双击D:\\environments\\kibana-6.6.0-windows-x86_64\\bin中kibana.bat

打开页面

http://localhost:5601

五.数据测试

#1.开始创建Document
PUT /ecommerce/product/1

    "name" : "gaolujie yagao",
    "desc" :  "gaoxiao meibai",
    "price" :  30,
    "producer" :      "gaolujie producer",
    "tags": [ "meibai", "fangzhu" ]

PUT /ecommerce/product/2

    "name" : "jiajieshi yagao",
    "desc" :  "youxiao fangzhu",
    "price" :  25,
    "producer" :      "jiajieshi producer",
    "tags": [ "fangzhu" ]

PUT /ecommerce/product/3

    "name" : "zhonghua yagao",
    "desc" :  "caoben zhiwu",
    "price" :  40,
    "producer" :      "zhonghua producer",
    "tags": [ "qingxin" ]


#2.查询
GET /ecommerce/product/2

#3.覆盖,替换文档（全量替换）
PUT /ecommerce/product/1

  "name" : "jiaqiangban gaolujie yagao",
  "desc" : "gaoxiao meibai",
  "price" : 30,
  "producer" : "gaolujie producer",
  "tags" : [ "meibai" , "fangzhu" ]

#注意：1.document是不可变的，如果要修改document的内容，可以通过全量替换，直接对document重新建立索引，替换里面所有的内容。2.es会将老的document标记为deleted（逻辑删除），然后新增我们给定的一个document，当我们创建越来越多的document的时候，es会在适当的时机在后台自动删除（物理删除）标记为deleted的document。3`替换必须带上所有的field，否则其他数据会丢失。

#4.修改（更新文档）
POST /ecommerce/product/1/_update

  "doc" : 
    "name" : "jiaqianban gaolujie yagao1"
  


#5.删除文档
DELETE /ecommerce/product/2
#注意：在删除一个document之后，我们可以从侧面证明，它不是立即物理删除的，因为它的一些版本号信息还是保留的

#6.使用query DSL 请求查询
GET /ecommerce/product/_search

  "query" : 
    "match_all" : 
  


#6.1查询名称包含yaogao的商品，同时按照价格降序排列
GET /ecommerce/product/_search

  "query" : 
    "match" : 
      "name" : "yagao"
    
  ,
  "sort" : [
     "price" : "desc"
    ]


#6.2分页查询
#总共3条商品，假设每页就显示1条商品，from是页码
GET /ecommerce/product/_search

  "query" :  "match_all" : ,
  "from" : 0,
  "size" : 1


#6.3指定查询项
GET /ecommerce/product/_search

  "query" : "match_all" : ,
  "_source" : ["name", "price"]



#6.4过滤查询
#搜索商品名称包含yaogao，而且售价大于35元的商品
GET /ecommerce/product/_search

  "query" : 
    "bool" : 
      "must" : 
        "match" : 
          "name" : "yagao"
      
  ,
  "filter" : 
    "range" : 
      "price": "gt" : 35
        
      
    
  


#7.full-text search(全文检索)
GET /ecommerce/product/_search

  "query" : 
    "match" : 
      "producer": "yagao producer"
    
  



#8.phrase search(短语搜索)
GET /ecommerce/product/_search

  "query" : 
    "match_phrase" : 
      "producer" : "yagao producer"
    
  



#9.多条件查询
#名字中有"yagao"，描述上可以有fangzhu也可以没有，价格不能是25元
GET /ecommerce/_search

  "query" : 
    "bool" : 
      "must" : [
        
          "match" : 
            "name" : "yagao"
          
        
        ],
        "should" : [
          
            "match" : 
              "desc" : "fangzhu"
            
          ,
          
            "match" : 
              "desc" : "caoben"
            
          
          ],
          "must_not" : [
            
              "match" : 
                "price" :25
              
            
          ],
          "minimum_should_match" : 1

在以上的实例中：

　　从第六条开始需要做出的补充：

两种请求分类：query string search / query DSL

第一种：

类似搜索全部商品： GET /ecommerce/product/_search (参数直接拼接在请求上，不带json参数的)

query string search的由来，因为search参数都是以http请求的query string来附带的。

搜索商品名称中包含yagao的商品，而且按照售价降序排列：

GET /ecommerce/product/_search?q=name:yagao&sort=price:desc

适用于临时的在命令行使用一些工具，比如curl，快速的发出请求，来检索想要的信息；但是

如果查询请求很复杂，是很难去构建的，所以在生产环境中，几乎很少使用query string search。

第二种：

DSL：Domain Specified Language,特定领域的语言