Springboot整合Elasticsearch
1 ES客户端
ES提供多种不同的客户端:
1、TransportClient
ES提供的传统客户端,官方计划8.0版本删除此客户端。
2、RestClient
RestClient是官方推荐使用的,它包括两种:REST Low Level Client和 REST High Level Client。ES在6.0之后提供REST High Level Client, 两种客户端官方更推荐使用 REST High Level Client,不过当前它还处于完善中,有些功能还没有。
2 搭建工程
2.1 pom.xml
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.3.2.RELEASE</version>
</parent>
<groupId>com.bjpowernode</groupId>
<artifactId>springboot_elasticsearch</artifactId>
<version>1.0-SNAPSHOT</version>
<!-- 修改elasticsearch的版本 -->
<properties>
<elasticsearch.version>6.2.3</elasticsearch.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.elasticsearch.client</groupId>
<artifactId>elasticsearch-rest-high-level-client</artifactId>
<version>${elasticsearch.version}</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
</dependency>
</dependencies>
</project>
2.2 application.yml
spring:
elasticsearch:
rest:
uris:
- http://Es的IP地址:9200
2.3 app
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
@SpringBootApplication
public class ElasticsearchApp {
public static void main(String[] args) {
SpringApplication.run(ElasticsearchApp.class, args);
}
}
3 索引管理
3.1 创建索引库
- 在Kibana中的代码(不需要执行):
PUT /java06
{
"settings":{
"number_of_shards" : 2,
"number_of_replicas" : 0
}
}
- Java Client
@Autowired
private RestHighLevelClient restHighLevelClient;
public void testCreateIndex() throws IOException {
CreateIndexRequest createIndexRequest = new CreateIndexRequest("java06");
createIndexRequest.source("{\n" +
" \"settings\":{\n" +
" \"number_of_shards\" : 2,\n" +
" \"number_of_replicas\" : 0\n" +
" }\n" +
"}", XContentType.JSON);
IndicesClient indices = restHighLevelClient.indices();
CreateIndexResponse createIndexResponse = indices.create(createIndexRequest);
System.out.println(createIndexResponse.isShardsAcknowledged());
}
3.2 删除索引库(Index)
- 在Kibana中的代码(不需要执行):
DELETE /java06
- JavaClient
@Autowired
private RestHighLevelClient restHighLevelClient;
public void testDeleteIndex() throws IOException {
//创建“删除索引请求”对象
DeleteIndexRequest deleteRequest = new DeleteIndexRequest("java06");
//创建索引操作客户端
IndicesClient indices = restHighLevelClient.indices();
//创建响应对象
DeleteIndexResponse delete = indices.delete(deleteRequest);
System.out.println(delete.isAcknowledged());
}
3.3 创建映射mapping
- 在Kibana中的代码(不需要执行):
POST /java06/course/_mapping
{
"_source": {
"excludes":["description"]
},
"properties": {
"name": {
"type": "text",
"analyzer":"ik_max_word",
"search_analyzer":"ik_smart"
},
"description": {
"type": "text",
"analyzer":"ik_max_word",
"search_analyzer":"ik_smart"
},
"studymodel": {
"type": "keyword"
},
"price": {
"type": "float"
},
"pic":{
"type":"text",
"index":false
}
}
}
- JavaClient
@Autowired
private RestHighLevelClient restHighLevelClient;
public void testCreateMapping() throws IOException {
CreateIndexRequest createIndexRequest = new CreateIndexRequest("java06");
createIndexRequest.source("{\n" +
" \"settings\":{\n" +
" \"number_of_shards\" : 2,\n" +
" \"number_of_replicas\" : 0\n" +
" }\n" +
"}", XContentType.JSON);
createIndexRequest.mapping("course","{\n" +
" \"_source\": {\n" +
" \"excludes\":[\"description\"]\n" +
" }, \n" +
" \t\"properties\": {\n" +
" \"name\": {\n" +
" \"type\": \"text\",\n" +
" \"analyzer\":\"ik_max_word\",\n" +
" \"search_analyzer\":\"ik_smart\"\n" +
" },\n" +
" \"description\": {\n" +
" \"type\": \"text\",\n" +
" \"analyzer\":\"ik_max_word\",\n" +
" \"search_analyzer\":\"ik_smart\"\n" +
" },\n" +
" \"studymodel\": {\n" +
" \"type\": \"keyword\"\n" +
" },\n" +
" \"price\": {\n" +
" \"type\": \"float\"\n" +
" },\n" +
" \"pic\":{\n" +
"\t\t \"type\":\"text\",\n" +
"\t\t \"index\":false\n" +
"\t }\n" +
" }\n" +
"}",XContentType.JSON);
IndicesClient indices = restHighLevelClient.indices();
CreateIndexResponse createIndexResponse = indices.create(createIndexRequest);
System.out.println(createIndexResponse.isShardsAcknowledged());
}
3.4 添加文档(doc)
- 在Kibana中的代码(不需要执行):
POST /java06/course/1
{
"name":"spring cloud实战",
"description":"本课程主要从四个章节进行讲解: 1.微服务架构入门 2.spring cloud 基础入门 3.实战Spring Boot 4.注册中心eureka。",
"studymodel":"201001",
"price":5.6
}
- JavaClient
@Autowired
private RestHighLevelClient restHighLevelClient;
public void testAddDoc() throws IOException {
IndexRequest indexRequest = new IndexRequest("java06", "course", "1");
indexRequest.source("{\n" +
" \"name\":\"spring cloud实战\",\n" +
" \"description\":\"本课程主要从四个章节进行讲解: 1.微服务架构入门 2.spring cloud 基础入门 3.实战Spring Boot 4.注册中心eureka。\",\n" +
" \"studymodel\":\"201001\",\n" +
" \"price\":5.6\n" +
"}",XContentType.JSON);
IndexResponse response = restHighLevelClient.index(indexRequest);
System.out.println(response.toString());
}
3.4 修改文档(doc)
- 在Kibana中的代码(不需要执行):
PUT /java06/course/1
{
"price":66.6
}
- JavaClient
@Autowired
private RestHighLevelClient restHighLevelClient;
public void testUpdataDoc() throws IOException {
UpdateRequest updateRequest = new UpdateRequest("java06","course","1");
updateRequest.doc("{\n" +
" \"price\":66.6\n" +
"}",XContentType.JSON);
UpdateResponse response = restHighLevelClient.update(updateRequest);
System.out.println(response.toString());
}
3.4 删除文档(doc)
- 在Kibana中的代码(不需要执行):
DELETE /java06/coures/1
- JavaClient
@Autowired
private RestHighLevelClient restHighLevelClient;
public void testDeleteDoc() throws IOException {
DeleteRequest deleteRequest = new DeleteRequest("java06", "course", "1");
DeleteResponse response = restHighLevelClient.delete(deleteRequest);
System.out.println(response.toString());
}
4 文档搜索(doc)
4.1 准备环境
向索引库中插入以下数据(直接使用Kibana整):
PUT /java06/course/1
{
"name": "Bootstrap开发",
"description": "Bootstrap是由Twitter推出的一个前台页面开发css框架,是一个非常流行的开发框架,此框架集成了多种页面效果。此开发框架包含了大量的CSS、JS程序代码,可以帮助开发者(尤其是不擅长css页面开发的程序人员)轻松的实现一个css,不受浏览器限制的精美界面css效果。",
"studymodel": "201002",
"price":38.6,
"pic":"group1/M00/00/00/wKhlQFs6RCeAY0pHAAJx5ZjNDEM428.jpg"
}
PUT /java06/course/2
{
"name": "java编程基础",
"description": "java语言是世界第一编程语言,在软件开发领域使用人数最多。",
"studymodel": "201001",
"price":68.6,
"pic":"group1/M00/00/00/wKhlQFs6RCeAY0pHAAJx5ZjNDEM428.jpg"
}
PUT /java06/course/3
{
"name": "spring开发基础",
"description": "spring 在java领域非常流行,java程序员都在用。",
"studymodel": "201001",
"price":88.6,
"pic":"group1/M00/00/00/wKhlQFs6RCeAY0pHAAJx5ZjNDEM428.jpg"
}
4.2 简单搜索
简单搜索就是通过url进行查询,以get方式请求ES。
- 在Kibana中的代码(不需要执行):
GET /java06/course/1
- JavaClient
@Autowired
private RestHighLevelClient restHighLevelClient;
public void testGetDoc() throws IOException {
GetRequest getRequest = new GetRequest("java06", "course", "1");
GetResponse getResponse = restHighLevelClient.get(getRequest);
System.out.println(getResponse.getSource());
}
5 DSL搜索
DSL(Domain Specific Language)是ES提出的基于json的搜索方式,在搜索时传入特定的json格式的数据来完成不同的搜索需求,
DSL比URI搜索方式功能强大,在项目中建议使用DSL方式来完成搜索。
语法:
GET /index_name/type_name/_search
{
"commond":{
"parameter_name" : "parameter_value"
}
}
5.1 match_all查询
- 在Kibana中的代码(不需要执行):
GET /java06/course/_search
{
"query" : {
"match_all" : {}
}
}
- JavaClient
@Autowired
private RestHighLevelClient restHighLevelClient;
public void testSearch() throws IOException {
SearchRequest searchRequest = new SearchRequest();
searchRequest.indices("java06");
searchRequest.types("course");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
searchSourceBuilder.query(QueryBuilders.matchAllQuery());
searchRequest.source(searchSourceBuilder);
SearchResponse response = restHighLevelClient.search(searchRequest);
SearchHits hits = response.getHits();
SearchHit[] hitsArr = hits.getHits();
for (SearchHit hit : hitsArr) {
System.out.println(hit.getSourceAsString());
}
}
5.2 分页查询
- 在Kibana中的代码(不需要执行):
GET /java06/course/_search
{
"query" : { "match_all" : {} },
"from" : 1, # 从第几条数据开始查询,从0开始计数
"size" : 3, # 查询多少数据
"sort" : [
{ "price" : "asc" }
]
}
- JavaClient
@Autowired
private RestHighLevelClient restHighLevelClient;
public void testPage() throws IOException {
SearchRequest searchRequest = new SearchRequest();
searchRequest.indices("java06");
searchRequest.types("course");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
searchSourceBuilder.query(QueryBuilders.matchAllQuery());
searchSourceBuilder.from(1);
searchSourceBuilder.size(3);
searchSourceBuilder.sort("price", SortOrder.DESC);
searchRequest.source(searchSourceBuilder);
SearchResponse response = restHighLevelClient.search(searchRequest);
SearchHits hits = response.getHits();
SearchHit[] hitsArr = hits.getHits();
for (SearchHit hit : hitsArr) {
System.out.println(hit.getSourceAsString());
}
}
分割线暂停一下,有空更新===============================
5.1 match_all查询
- 在Kibana中的代码(不需要执行):
- JavaClient
@Autowired
private RestHighLevelClient restHighLevelClient;
5.1 match_all查询
- 在Kibana中的代码(不需要执行):
- JavaClient
@Autowired
private RestHighLevelClient restHighLevelClient;