准备数据

POST lagou/testjob/_bulk
{"index":{"_id":1}}
{"salary":10, "title": "Python"}
{"index":{"_id":2}}
{"salary":20, "title": "Scrapy"}
{"index":{"_id":3}}
{"salary":30, "title": "Django"}
{"index":{"_id":4}}
{"salary":40, "title": "Elasticsearch"}

组合查询

准备数据

# 添加映射  
PUT lagou
{
  "mappings": {
    "job":{
      "properties": {
        "title":{
          "store": true,
          "type": "text",
          "analyzer": "ik_max_word"
        },
        "company_name":{
          "store": true,
          "type": "keyword"
        },
        "desc":{
          "type": "text"
        },
        "comments":{
          "type": "integer"
        },
        "add_time":{
          "type": "date",
          "format": "yyyy-MM-dd"
        }
      }
    }
  }
}

POST lagou/job/
{
    "title":"python django 开发工程师",
    "company_name":"美团科技有限公司",
    "desc":"对django的概念熟悉，熟悉python基础知识",
    "comments":20,
    "add_time":"2019-5-30"
}

POST lagou/job/
{
    "title":"python scrapy redis分布式爬虫基本",
    "company_name":"百度科技有限公司",
    "desc":"scrapy的概念熟悉，熟悉redis基础知识",
    "comments":5,
    "add_time":"2019-5-1"
}

POST lagou/job/
{
    "title":"elasticsearch打造搜索引擎",
    "company_name":"阿里巴巴科技有限公司",
    "desc":"熟悉数据结构算法，熟悉python基础开发",
    "comments":60,
    "add_time":"2019-4-15"
}

POST lagou/job/
{
    "title":"python打造推荐引擎系统",
    "company_name":"阿里巴巴科技有限公司",
    "desc":"熟悉推荐引擎的原理以及算法，掌握C语言",
    "comments":60,
    "add_time":"2019-1-22"
}

查询

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# es的文档，索引的 CRUD 操作

# 索引初始化操作

# 指定分片和副本的数量

# shards一旦设置不能修改（副本数量）



# 设置索引  

PUT lagou

{

  "settings": {

    "index":{

      "number_of_shards": 5,

      "number_of_replicas": 2

    }

  }  

}



GET lagou/_settings

GET _all/_settings

GET .kibana,lagou/_settings

GET lagou/job/1/_source



# 修改settings

PUT lagou/_settings

{

  "number_of_shards": 2

}



# 保存文档  

PUT lagou/job/2

{

    "title": "python分布式爬虫开发",

    "salary_min": 15000,

    "city": "北京",

    "company": {

        "name": "百度",

        "company_addr": "北京市软件园"

    },

    "publish_data": "2019-5-30",

    "comments": 15

}



POST lagou/job/1

{

    "title": "python django 开发工程师",

    "salary_min": 3000,

    "city": "天猫",

    "company": {

        "name": "美团科技",

        "company_addr": "北京市软件园A区"

    },

    "publish_data": "2019-5-30",

    "comments": 2

}





GET lagou/job/2?_source=city,company.name



# 修改文章

PUT lagou/job/2

{

    "title": "python分布式爬虫开发",

    "salary_min": 15000,

    "city": "北京",

    "company": {

        "name": "百度",

        "company_addr": "北京市软件园"

    },

    "publish_data": "2019-5-30",

    "comments": 23

}



# 修改文章2

POST lagou/job/2/_update

{

  "doc":{

    "comments": 21

  }

}





DELETE lagou/job/1

DELETE lagou



# 批量获取

GET _mget

{

  "docs":[

    { 

      "_index":"lagou",

      "_type": "job2",

      "_id": 2

    },

    { 

      "_index":"lagou",

      "_type": "job",

      "_id": 1

    }

  ]

}



# index一样

GET lagou/_mget

{

  "docs":[

    { 

      "_type": "job2",

      "_id": 2

    },

    { 

      "_type": "job",

      "_id": 1

    }

  ]

}





# index,type一样



GET lagou/job2/_mget

{

  "docs":[

    { 

      "_id": 2

    },

    { 

      "_id": 1

    }

  ]

}



GET lagou/job2/_mget

{

  "ids": [1,2]

}

bulk批量操作

bulk操作不能分行，json必需一行写完

安装

1. Java环境
2. Git 下载 elasticsearch-rtf 压缩包，解压 进入bin 运行 elasticsearch.bat
3. Git clone elasticsearch-head 进入，npm install,npm run start
4. 配置elasticsearch.yml

http.cors.enabled: true
http.cors.allow-origin: "*"
http.cors.allow-methods: OPTIONS, HEAD, GET, PUT, DELETE
http.cors.allow-headers: "X-Requested_With, Content-Type, Content_Length, X-User"