文章目录
-
-
- 1.ES索引库操作(CRUD)
- 2.ES文档操作(CRUD)
- 3.RestClient操作(索引库/文档)(CRUD)
- 4.Elasticsearch搜索功能
-
- 1.DSL查询语法
- 2.全文检索查询(3种)
- 3.精确查询(2种)
- 4.地理查询(2种)
- 5.复合查询(2种)
-
- 1.相关性算分
-
- [function score query](#function score query)
- [2.Boolean Query(4种)](#2.Boolean Query(4种))
- 5搜索结果处理
- 总结:(4种查询,一种返回)
- 5.RestClient查询文档
-
- 1.match_all
- 2.match、multi_match
- 3.term、range
- 4.复合查询
-
- [bool query](#bool query)
- [function score query](#function score query)
- 5.分页和排序
- 6.高亮highLight
- 总结:查询的基本步骤
-
1.ES索引库操作(CRUD)
1.mapping常见属性(前提)

type地理坐标类型:例如酒店在地图上是一个点就用"type":"geo_point"

2.创建索引库
创建:PUT /索引库名

需要进行分词的属性需要指定分词器,不需要创建索引的属性指定index为false

3.查询,删除索引库
查:GET /索引库名
删:DELETE /索引库名
4.修改索引库
修改:PUT /索引库名/_mapping
只能在原有的基础上添加,无法修改,修改即报错

2.ES文档操作(CRUD)
1.新增文档
POST /索引库名/_doc/文档id
_doc是默认写法
文档id默认是keyword类型,

2.查询、删除文档
查询:GET /索引库名/_doc/文档id
查询返回的数据解读:
_version:版本,主要是指修改了的次数,_source:插入的原始文档

删除:DELETE /索引库名/_doc/文档id
3.修改文档

全量修改:PUT /索引库名/ _doc/文档id
增量修改:POST /索引库名/ _update/文档id
3.RestClient操作(索引库/文档)(CRUD)
1.什么是RestClient

我们重点学习使用Java High Level REST Client(<font style="color:rgb(0, 0, 0);">
Java高级REST客户端</font>
)
2.需要考虑前提条件(mapping的设计)

3.初始化JavaRestClient

<font style="color:#DF2A3F;">
注意步骤二</font>
<font style="color:#DF2A3F;">
步骤三可以指定多个地址</font>
4.JavaRestClient(索引库)操作
1.创建索引库

MAPPING_TEMPLATE就是mapping创建的语句,这里用常量封装了
2.删除索引库、判断是否存在

用完了也需要销毁client客户端

OOO索引操作步骤总结

5.JavaRestClient(文档)操作
1.创建文档


2.查询文档


最后需要反序列化
3.更新文档

4.删除文档

OOO文档操作步骤总结

5.批量导入数据


就是循环添加多次 IndexRequest(请看创建文档部分)
4.Elasticsearch搜索功能
中文文档:https://docs.kilvn.com/elasticsearch/docs/15.html
1.DSL查询语法

返回的结果解读:

2.全文检索查询(3种)

1.match_all(查询所有)

2.match(推荐)单字段
要把copy_to拷到一个字段
全文检索查询的一种,会对用户输入内容分词,然后去倒排索引库检索

3.multi_match(多字段)
与match查询类似,只不过允许同时查询多个字段
3.精确查询(2种)

1.term(精确查询)

2.range(范围查询)
+e是等于的意思

4.地理查询(2种)


5.复合查询(2种)
复合(compound)查询:复合查询可以将其它简单查询组合起来,实现更复杂的搜索逻辑
1.相关性算分



function score query

weight10分乘以原来的分数就是multiply的加权模式

2.Boolean Query(4种)

must_not / filter不参与算分
5搜索结果处理
1.排序

order是排序的属性,当属性只有一个的时候就可以像图1一样省略不写
2.分页
elasticsearch 默认情况下只返回top10的数据。而如果要查询更多数据就需要修改分页参数了


3.高亮
就是在搜索结果中把搜索关键字突出显示。


搜索字段与高亮字段要一致,不一致添加require_field_match属性
查看返回结果highlight就能看到高亮字段
总结:(4种查询,一种返回)

5.RestClient查询文档
1.match_all

<font style="color:#DF2A3F;">
解析结果</font>

代码解析

2.match、multi_match

3.term、range

4.复合查询
bool query

function score query

5.分页和排序

距离排序(地理坐标)

6.高亮highLight

结果解析

代码示例

总结:查询的基本步骤
