文档CURD操作

1、document数据格式

面向文档的搜索分析引擎，其实就是json格式（1）应用系统的数据结构都是面向对象的，复杂的（2）对象数据存储到数据库中，只能拆解开来，变为扁平的多张表，每次查询的时候还得还原回对象格式，相当麻烦（3）ES是面向文档的，文档中存储的数据结构，与面向对象的数据结构是一样的，基于这种文档数据结构，es可以提供复杂的索引，全文检索，分析聚合等功能（4）es的document用json数据格式来表达public class Employee {  private String email;  private String firstName;  private String lastName;  private EmployeeInfo info;  private Date joinDate;}private class EmployeeInfo {    private String bio; // 性格  private Integer age;  private String[] interests; // 兴趣爱好}EmployeeInfo info = new EmployeeInfo();info.setBio("curious and modest");info.setAge(30);info.setInterests(new String[]{"bike", "climb"});Employee employee = new Employee();employee.setEmail("zhangsan@sina.com");employee.setFirstName("san");employee.setLastName("zhang");employee.setInfo(info);employee.setJoinDate(new Date());

employee对象：里面包含了Employee类自己的属性，还有一个EmployeeInfo对象

两张表：employee表，employee_info表，将employee对象的数据重新拆开来，变成Employee数据和EmployeeInfo数据employee表：email，first_name，last_name，join_date，4个字段employee_info表：bio，age，interests，3个字段；此外还有一个外键字段，比如employee_id，关联着employee表{    "email":      "zhangsan@sina.com",    "first_name": "san",    "last_name": "zhang",    "info": {        "bio":         "curious and modest",        "age":         30,        "interests": [ "bike", "climb" ]    },    "join_date": "2017/01/01"}

我们就明白了es的document数据格式和数据库的关系型数据格式的区别

2、商品的CRUD操作（document CRUD操作）

(1)新增商品：新增文档，建立索引

PUT /index/type/id{  "json数据"}PUT /ecommerce/product/1{	"name" : "gaolujie yagao",	"desc" : "gaolujie meibai",	"price" : 30,	"producer" : "gaolujie producer",	"tags" : ["meibai","fangzhu"]}结果：{  "_index": "ecommerce",  "_type": "product",  "_id": "1",  "_version": 1,  "result": "created",  "_shards": {    "total": 2,    "successful": 1,    "failed": 0  },  "created": true}

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" : ["qinxin"]}***ES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

GET /index/type/id

GET /ecommerce/product/3结果：{  "_index": "ecommerce",  "_type": "product",  "_id": "3",  "_version": 1,  "found": true,  "_source": {    "name": "zhonghua yagao",    "desc": "caoben zhiwu",    "price": 40,    "producer": "zhonghua producer",    "tags": [      "qinxin"    ]  }}

（3）修改商品：替换文档

PUT /ecommerce/product/1{  "name" : "jiaqiangban gaolujie yagao",  "desc" : "gaolujie meibai",  "price" : 30,  "producer" : "gaolujie producer",  "tags" : ["meibai","fangzhu"]}{  "_index": "ecommerce",  "_type": "product",  "_id": "1",  "_version": 2,  "result": "updated",  "_shards": {    "total": 2,    "successful": 1,    "failed": 0  },  "created": false}替换方式的缺点：即使必须带上所有的field，才能去进行信息的修改

（4）修改商品：更新文档

POST /ecommerce/product/1/_update{  "doc" : {    "name" : "gaolujie yagao"  }}{  "_index": "ecommerce",  "_type": "product",  "_id": "1",  "_version": 3,  "result": "updated",  "_shards": {    "total": 2,    "successful": 1,    "failed": 0  }}GET /ecommerce/product/1{  "_index": "ecommerce",  "_type": "product",  "_id": "1",  "_version": 3,  "found": true,  "_source": {    "name": "gaolujie yagao",    "desc": "gaolujie meibai",    "price": 30,    "producer": "gaolujie producer",    "tags": [      "meibai",      "fangzhu"    ]  }}

（5）删除商品：删除文档

DELETE /ecommerce/product/1{  "found": true,  "_index": "ecommerce",  "_type": "product",  "_id": "1",  "_version": 4,  "result": "deleted",  "_shards": {    "total": 2,    "successful": 1,    "failed": 0  }}GET /ecommerce/product/1{  "_index": "ecommerce",  "_type": "product",  "_id": "1",  "found": false}

最后： 补回去，后面学习有用

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