es restAPI 练习

2021-09-16 11:00:13 作者：互联网

#查看所有索引
GET /_cat/indices?v

#删除索引
DELETE /*

# 创建/book索引并创建(musicbook)类型没有类型了类型默认_doc
PUT /book
{
"mappings": {

"properties": {
"name":{
"type":"keyword"
},
"price":{
"type":"double"
},
"desc":{
"type":"text"
}
}
}
}

#查看类型映射
GET /book/_mapping

#添加文档
PUT /book/_doc/2
{
"name":"音乐书2",
"price":"22.0",
"desc":"这是一本音乐书"
}

# 在原有数据基础上进行更新不加_update 则会舍弃之前的字段
POST /book/_doc/1/_update
{
"doc": {
"price":"40"
}
}

GET /book/_doc/1

#查询练习

# 1.删除索引
DELETE /ems

# 2.创建索引并指定类型
PUT /ems
{
"mappings":{
"properties":{
"name":{
"type":"text"
},
"age":{
"type":"integer"
},
"bir":{
"type":"date"
},
"content":{
"type":"text"
},
"address":{
"type":"keyword"
}
}
}
}

# 3.插入测试数据
PUT /ems/_doc/_bulk
{"index":{}}
{"name":"小黑","age":23,"bir":"2012-12-12","content":"为开发团队选择一款优秀的MVC框架是件难事儿，在众多可行的方案中决择需要很高的经验和水平","address":"北京"}
{"index":{}}
{"name":"王小黑","age":24,"bir":"2012-12-12","content":"Spring 框架是一个分层架构，由 7 个定义良好的模块组成。Spring 模块构建在核心容器之上，核心容器定义了创建、配置和管理 bean 的方式","address":"上海"}
{"index":{}}
{"name":"张小五","age":8,"bir":"2012-12-12","content":"Spring Cloud 作为Java 语言的微服务框架，它依赖于Spring Boot，有快速开发、持续交付和容易部署等特点。Spring Cloud 的组件非常多，涉及微服务的方方面面，井在开源社区Spring 和Netflix 、Pivotal 两大公司的推动下越来越完善","address":"无锡"}
{"index":{}}
{"name":"win7","age":9,"bir":"2012-12-12","content":"Spring的目标是致力于全方位的简化Java开发。这势必引出更多的解释， Spring是如何简化Java开发的？","address":"南京"}
{"index":{}}
{"name":"梅超风","age":43,"bir":"2012-12-12","content":"Redis是一个开源的使用ANSI C语言编写、支持网络、可基于内存亦可持久化的日志型、Key-Value数据库，并提供多种语言的API","address":"杭州"}
{"index":{}}
{"name":"张无忌","age":59,"bir":"2012-12-12","content":"ElasticSearch是一个基于Lucene的搜索服务器。它提供了一个分布式多用户能力的全文搜索引擎，基于RESTful web接口","address":"北京"}

#全部检索
GET /ems/_search
{
"query": {
"match_all": {}
}
}

#指定数据大小
GET /ems/_search
{
"query": {
"match_all": {}
},
"size": 2
}
#分页查询
GET /ems/_search
{
"query": {
"match_all": {}
},
"size": 5,
"from": 0
}

# 展示单个字段
GET /ems/_search
{
"query": {
"match_all": {}
},
"_source": "name"
}

# 展示多个字段
GET /ems/_search
{
"query": {
"match_all": {}
},
"_source": ["name","age"]
}

# name 是text类型，会进行分词，所以name包含“张”的文档都行
GET /ems/_search
{
"query": {
"term": {
"name": "张"
}
}
}

# bir 是date类型，不会进行分词，所以按照整体查询，查不到数据
GET /ems/emp/_search
{
"query": {
"term": {
"bir": "2012"
}
}
}

# 查询age>=5,<=10的文档
GET /ems/_search
{
"query": {
"range": {
"age": {
"gte": 5,
"lte": 10
}
}
}
}

#前缀查询
GET /ems/_search
{
"query": {
"prefix": {
"name": {
"value": "无"
}
}
}
}
#通配符查询
GET /ems/_search
{
"query": {
"wildcard": {
"name": {
"value": "张*"
}
}
}
}
#多id查询
GET /ems/_search
{
"query": {
"ids": {
"values": ["AlSspHYBh-o7eO8i7bUf","BVSspHYBh-o7eO8i7bUf"]
}
}
}

#模糊查询指的是搜索的字如果打错了一定范围内还是可以查到
GET /ems/_search
{
"query": {
"fuzzy": {
"content": "sprin"
}
}
}
#bool 关键字用来组合多个条件实现杂#查询相当于&& 同时成立相当于||
#成立一个就行相当于!#不能满足任何一个
GET /ems/_search
{
"query": {
"bool": {
"must": [
{
"range": {
"age": {
"gte": 5,
"lte": 10
}
}
}
],
"must_not": [
{
"term": {
"address": {
"value": "南"
}
}
}
]
}
}
}

#高亮查询
GET /ems/_search
{
"query": {
"term": {
"name": {
"value": "五"
}
}
},
"highlight": {
"pre_tags": ["<span style='color:red'>"],
"post_tags": ["</span>"],
"fields": {
"name":{}
}
}
}
#多字段查询
GET /ems/_search
{
"query": {
"multi_match": {
"query": "中国",
"fields": ["name","content"]
}
}
}

#多字段查询之分词可以对查询的关键字进行分词再查询
GET /ems/_search
{
"query": {
"query_string": {
"query": "中国声音",
"analyzer": "ik_max_word",
"fields": ["name","content"]
}
}
}

#分词分析对于中文需要安装中文分词不然分的不好
GET /_analyze
{
"text":"哈哈哈"
}

#过滤查询对查的的数据再次过滤
GET /ems/_search
{
"query": {
"bool": {
"must": [
{
"term": {
"name": {
"value": "小五"
}
}
}
],
"filter": {
"range": {
"age": {
"gte": 1,
"lte": 10
}
}
}
}
}
}

标签：search,12,name,GET,restAPI,练习,ems,query,es
来源： https://blog.csdn.net/qq_41082092/article/details/120324581