简单实例:简单的curd操作

目录

以商品的增删改查为例子:

（1）新增商品：新增文档，建立索引

操作原型

PUT /index/type/id
{
  "json数据"
}

具体操作:

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" ]
}

elasticsearch 会自动建立index和type，不需要提前创建，而且es默认会对document每个field都建立倒排索引，让其可以被搜索

（2）查询商品：检索文档

操作原型:

GET /index/type/id

具体操作:

GET /ecommerce/product/1

结果:

{
  "_index": "ecommerce",
  "_type": "product",
  "_id": "1",
  "_version": 1,
  "found": true,
  "_source": {
    "name": "gaolujie yagao",
    "desc": "gaoxiao meibai",
    "price": 30,
    "producer": "gaolujie producer",
    "tags": [
      "meibai",
      "fangzhu"
    ]
  }
}

（3）修改商品：替换文档

操作原型:

PUT /index/type/id
{
  "json数据"
}

具体操作:

PUT /ecommerce/product/1
{
    "name" : "jiaqiangban gaolujie yagao",
    "desc" :  "gaoxiao meibai",
    "price" :  30,
    "producer" :      "gaolujie producer",
    "tags": [ "meibai", "fangzhu" ]
}

注意:替换方式有一个不好，即使必须带上所有的field，才能去进行信息的修改,如果值不全则将会导致数据丢失

PUT /ecommerce/product/1
{
    "name" : "jiaqiangban gaolujie yagao"
}

获取查看结果GET /ecommerce/product/1

{
  "_index": "ecommerce",
  "_type": "product",
  "_id": "1",
  "_version": 21,
  "found": true,
  "_source": {
    "name": "jiaqiangban gaolujie yagao"
  }
}

（4）修改商品：更新文档

操作原型:

POST /index/type/id/_update
{
    "json数据"
}

具体操作:

POST /ecommerce/product/1/_update
{
  "doc": {
    "name": "hello"
  }
}

（5）删除商品：删除文档

操作原型:

DELETE /index/type/id

具体操作:

DELETE /ecommerce/product/1