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<Book> books = elasticsearchTemplate.queryForList(searchQuery, Book.class); for(Book book : books) { System.out.println(book); } } }
测试结果:
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<Book,Integer>{ public List<Book> findByBookNameLike(String bookName); }
Test.java
@Autowired BookRepository bookRepository; @Test public void testSprintgDataElasticsearch(){ List<Book> 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:
<!-- https://mvnrepository.com/artifact/io.searchbox/jest --> <dependency> <groupId>io.searchbox</groupId> <artifactId>jest</artifactId> <version>5.3.3</version> </dependency>
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<String> uris = new ArrayList<String>( 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<Gson> gsonProvider; private final List<HttpClientConfigBuilderCustomizer> builderCustomizers; public JestAutoConfiguration(JestProperties properties, ObjectProvider<Gson> gson, ObjectProvider<List<HttpClientConfigBuilderCustomizer>> 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CSDN账号,谢谢大家!!!
热门评论
有没有源码,github链接有么