SpringBoot整合ElasticSearch及源码
一 Springboot 与检索
二 搭建环境
整合Elasticsearch,选中该模块，如下图：
先来看看自动配置文件，看下为我们做了哪些自动配置：
接下来使用docker来创建elasticSearch容器,可以参考之前的博客 Docker轻松入门（详解） 或 Docker轻松入门（详解）
这个时候就可以使用IP地址：9301 进行访问了，如下：
出现以下信息就说明已经连接上了。
三 插入数据
注意: 需要更多的了解ElasticSearch的的知识，请参考官方文档：
https://www.elastic.co/guide/cn/elasticsearch/guide/current/intro.html
首先参考官方文档，插入一些数据：
在Postman中模拟put请求插入数据
我插入了以下数据供查询： http://123.56.24.128:9201/liuxinjian/book/_search _search 代表查询所有类型下的数据
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 4,
"max_score": 1,
"hits": [
{
"_index": "liuxinjian",
"_type": "book",
"_id": "2",
"_score": 1,
"_source": {
"id": 2,
"bookName": "《水浒传》",
"author": "施耐庵"
}
},
{
"_index": "liuxinjian",
"_type": "book",
"_id": "4",
"_score": 1,
"_source": {
"id": 4,
"bookName": "《三国演义》",
"author": "罗贯中"
}
},
{
"_index": "liuxinjian",
"_type": "book",
"_id": "1",
"_score": 1,
"_source": {
"id": 1,
"bookName": "《红楼梦》",
"author": "曹雪芹"
}
},
{
"_index": "liuxinjian",
"_type": "book",
"_id": "3",
"_score": 1,
"_source": {
"id": 3,
"bookName": "《西游记》",
"author": "吴承恩"
}
}
]
}
}四 测试
1. 使用ElasticsearchTemplate进行操作
book.java
package com.lxj.elasticsearch.bean;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.Document;
@Document(indexName = "liuxinjian",type = "book") //indexName 索引 type 类型
public class Book {
@Id
private Integer id;
private String bookName;
private String author;
public Integer getId() {
return id;
}
@Override
public String toString() {
return "Book{" +
"id=" + id +
", bookName='" + bookName + '\'' +
", author='" + author + '\'' +
'}';
}
public void setId(Integer id) {
this.id = id;
}
public String getBookName() {
return bookName;
}
public void setBookName(String bookName) {
this.bookName = bookName;
}
public String getAuthor() {
return author;
}
public void setAuthor(String author) {
this.author = author;
}
}测试代码：
package com.lxj.elasticsearch;
import com.lxj.elasticsearch.bean.Book;
import org.elasticsearch.client.AdminClient;
import org.elasticsearch.client.Client;
import org.elasticsearch.common.xcontent.ToXContent;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.index.query.QueryBuilder;
import org.elasticsearch.index.search.MatchQuery;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.elasticsearch.core.ElasticsearchTemplate;
import org.springframework.data.elasticsearch.core.convert.ElasticsearchConverter;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.data.elasticsearch.core.query.SearchQuery;
import org.springframework.test.context.junit4.SpringRunner;
import java.io.IOException;
import java.util.List;
@RunWith(SpringRunner.class)
@SpringBootTest
public class SpringbootElasticsearchApplicationTests {
@Autowired
ElasticsearchTemplate elasticsearchTemplate; //自动为我们导入的组件，前面看过源码，类似于jdbcTemplate
@Test
public void queryForList() {
SearchQuery searchQuery = new NativeSearchQueryBuilder().build();
List books = elasticsearchTemplate.queryForList(searchQuery, Book.class);
for(Book book : books) {
System.out.println(book);
}
}
} 
下面看看有哪些查询的方法：
这些都是进行查询匹配的，我就不举例子了。
2 Spring Data Elasticsearch配合使用
参考官方文档：https://docs.spring.io/spring-data/elasticsearch/docs/3.0.8.RELEASE/reference/html/#repositories
BookRepository.java
public interface BookRepository extends ElasticsearchRepository{
public List findByBookNameLike(String bookName);
} Test.java
@Autowired
BookRepository bookRepository;
@Test
public void testSprintgDataElasticsearch(){
List books = bookRepository.findByBookNameLike("梦");
System.out.println(books);
} 
3. 使用JestCilent进行操作
要使用JestCilent首先要导入依赖：
io.searchbox
jest
5.3.3
当然我们可以看看源码包就知道原因了：
/**
* Configuration properties for Jest.
*
* @author Stephane Nicoll
* @since 1.4.0
*/
@ConfigurationProperties(prefix = "spring.elasticsearch.jest")
public class JestProperties {
/**
* Comma-separated list of the Elasticsearch instances to use.
*/
private List uris = new ArrayList(
Collections.singletonList("http://localhost:9200"));
/**
* Login user.
*/
private String username;
/** 从JestProperties的配置文件可以看到默认是本地9200端口，需要我们进行配置:
application.propeties文件配置如下：
spring.elasticsearch.jest.uris=http://123.56.24.128:9201
/**
* {@link EnableAutoConfiguration Auto-Configuration} for Jest.
*
* @author Stephane Nicoll
* @since 1.4.0
*/
@Configuration
@ConditionalOnClass(JestClient.class)
@EnableConfigurationProperties(JestProperties.class)
@AutoConfigureAfter(GsonAutoConfiguration.class)
public class JestAutoConfiguration {
private final JestProperties properties;
private final ObjectProvider gsonProvider;
private final List builderCustomizers;
public JestAutoConfiguration(JestProperties properties, ObjectProvider gson,
ObjectProvider> builderCustomizers) {
this.properties = properties;
this.gsonProvider = gson;
this.builderCustomizers = builderCustomizers.getIfAvailable();
}
@Bean(destroyMethod = "shutdownClient")
@ConditionalOnMissingBean
public JestClient jestClient() {
JestClientFactory factory = new JestClientFactory();
factory.setHttpClientConfig(createHttpClientConfig());
return factory.getObject();
} 自动配置类为我们导入了JestClient组件，下面开始测试：
@Autowired
JestClient jestClient;
@Test //插入数据
public void testJestCilent(){
//1.给ES中索引（保存）一个文档。
Book book = new Book();
book.setId(5);
book.setBookName("《计算机网络》");
book.setAuthor("吴功谊");
//构建一个索引功能
Index build = new Index.Builder(book).index("liuxinjian").type("book").build();
try {
//执行
jestClient.execute(build);
} catch (IOException e) {
e.printStackTrace();
}
}
//测试搜索
@Test
public void search(){
//查询表达式，可参照官方文档
String json = "{\n" +
" \"query\" : {\n" +
" \"match\" : {\n" +
" \"bookName\" : \"《计算机网络》\"\n" +
" }\n" +
" }\n" +
"}";
//构造搜索功能
Search search = new Search.Builder(json).addIndex("liuxinjian").addType("book").build();
//执行
try {
SearchResult searchResult = jestClient.execute(search);
System.out.println(searchResult.getJsonString());
} catch (IOException e) {
e.printStackTrace();
}
}查询结果如下:
{"took":38,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":1,"max_score":0.30018792,"hits":[{"_index":"liuxinjian","_type":"book","_id":"AWQZIecwNyuayaACXT7k","_score":0.30018792,"_source":{"id":5,"bookName":"《计算机网络》","author":"吴功谊"}}]}}
五 总结
关于SpringBoot整合ElasticSearch就到这里，如果需要深入学习的话，请参照官方文档，对这篇博客有什么问题请留言，后续还会继续更新相关知识，也可以关注博主的慕课手记，谢谢大家！！！