ES-实战入门
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1、document数据格式
面向文档的搜索分析引擎
(1)应用系统的数据结构都是面相对象的,复杂的。
public class Employee
private String email;
private String firstName;
private EmployeeInfo info;
public class EmployeeInfo
private String bio;
private Integer age;
private String[] interes;
EmployeeInfo info = new EmployeeInfo();
info.setBio("curios and modest")
info.setage(30);
info.setInterests(new String[]"bike","climb");
Employee employee = new Employee();
employee.setEmail("zhangsna@164.com")
employee.setFirstName("san")
empolyee.setInfo(info)
employee对象;包含了Employee类自己的属性还有一个info对象,
当我们存到关系型数据库的时候,还需要拆开到两个表中,但是ES不用,所以是面相对象。
(2)对象数据存储到数据库中,只能拆解开来,变为扁平的多个表,每次查询的时候还得还原回原来对象格式,相当麻烦
(3) ES 是面相文档的,文档中存储的数据结构,与面向对象的数据结构是一样的。
(4)ES的document用JSON数据格式表达
2、电商网站商品管理案例背景介绍
(1)对商品CRUD
(2) 执行简单结构化查询
(3)可以执行简单的全文检索,以及复杂的短语检索
3、简单集群操作
(1)快速检查集群的健康状况
GET _cat/health?v
epoch timestamp cluster status node.total node.data shards pri relo init unassign pending_tasks max_task_wait_time active_shards_percent
1663923665 09:01:05 elasticsearch green 1 1 3 3 0 0 0 0 - 100.0%
如何快速了解集群的健康状况?green、yellow、red?
status
green:每个索引的primary shard和 replica shard都是active状态的
yellow: 每个索引的Primary shard都是active状态的,但是部分replica shard不是active状态,处于不可用状态
red: 不是所有索引的Primary shard都是active状态的,部分索引有数据丢失
(2)快速查看集群中有哪些索引
Get /_cat/indices?v
(3) 简单的索引操作
创建索引: PUT /test_index?pretty
"acknowledged" : true,
"shards_acknowledged" : true,
"index" : "test_index"
删除索引: DELETE /test_index?pretty
"acknowledged" : true
4、商品的CRUD的操作
(1) 新增商品: 新增文档,建立索引
put /index/type/id
PUT /ecommerce/product/1
"name":"gaolujie yagao",
"desc":"gaoxiao meibai",
"price": 30,
"producer": "gaolujie producer"
返回的值为:
"_index" : "ecommerce",
"_type" : "product",
"_id" : "1",
"_version" : 1,
"result" : "created",
"_shards" :
"total" : 2,
"successful" : 1,
"failed" : 0
,
"_seq_no" : 0,
"_primary_term" : 1
PUT /ecommerce/product/1
"name":"gaolujie yagao",
"desc":"gaoxiao meibai",
"price": 30,
"producer": "gaolujie producer"
PUT /ecommerce/product/2
"name":"jiajieshi yagao",
"desc":"youxiaofangzhu",
"price": 25,
"producer": "jiajieshi producer"
PUT /ecommerce/product/3
"name":"zhonghua yagao",
"desc":"caobenzhiwu",
"price": 40,
"producer": "zhonghua producer"
es 会自动创建index和type ,不需要提前创建,而且es默认会对ducument每个field都建立倒排索引
(2) 查询商品:检索文档
GET /index/type/id
GET /ecommerce/product/1
"_index" : "ecommerce",
"_type" : "product",
"_id" : "1",
"_version" : 1,
"_seq_no" : 0,
"_primary_term" : 1,
"found" : true,
"_source" :
"name" : "gaolujie yagao",
"desc" : "gaoxiao meibai",
"price" : 30,
"producer" : "gaolujie producer"
(3) 修改商品:替换文档
PUT /ecommerce/product/1
"name":"jiajiehsi yagao",
"desc":"gaoxiao meibai",
"price": 30,
"producer": "gaolujie producer"
"_index" : "ecommerce",
"_type" : "product",
"_id" : "1",
"_version" : 2,
"result" : "updated",
"_shards" :
"total" : 2,
"successful" : 1,
"failed" : 0
,
"_seq_no" : 3,
"_primary_term" : 1
这里变成了updated
替换方式有一个不好,必须带上所有的filed,才能去进行信息的修改。
(4)修改商品:更新文档
POST /ecommerce/product/1/_update (API)
"doc":
"name":"jiaqiangban gaolujieyagao"
"_index" : "ecommerce",
"_type" : "product",
"_id" : "1",
"_version" : 3,
"result" : "updated",
"_shards" :
"total" : 2,
"successful" : 1,
"failed" : 0
,
"_seq_no" : 4,
"_primary_term" : 1
(5) 删除商品
DELETE /ecommerce/product/1
"_index" : "ecommerce",
"_type" : "product",
"_id" : "1",
"_version" : 4,
"result" : "deleted",
"_shards" :
"total" : 2,
"successful" : 1,
"failed" : 0
,
"_seq_no" : 5,
"_primary_term" : 1
GET /ecommerce/product/1
"_index" : "ecommerce",
"_type" : "product",
"_id" : "1",
"found" : false
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