spring结合elasticsearch

博客主要涉及Spring相关操作,包括spring-es.xml配置,通过SpringBeanFactory获取bean,以及编写测试类,这些内容均与信息技术领域的后端开发相关。

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spring-es.xml配置

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
       xmlns:elasticsearch="http://www.springframework.org/schema/data/elasticsearch"
       xsi:schemaLocation="http://www.springframework.org/schema/beans
       http://www.springframework.org/schema/beans/spring-beans.xsd
       http://www.springframework.org/schema/data/elasticsearch
       http://www.springframework.org/schema/data/elasticsearch/spring-elasticsearch-1.0.xsd">

    <elasticsearch:transport-client id="client" cluster-nodes="es1:9300,es2:9300,es3:9300" cluster-name="test_es_cluster" />

    <!-- 配置搜索模板  -->
    <bean id="elasticsearchTemplate"
          class="org.springframework.data.elasticsearch.core.ElasticsearchTemplate">
        <constructor-arg name="client" ref="client" />
    </bean>
</beans>

SpringBeanFactory获取bean

package com.leaf.elasticsearch;
import lombok.extern.slf4j.Slf4j;
import org.springframework.context.support.ClassPathXmlApplicationContext;

/**
 * @author ycc
 */
@Slf4j
public class SpringBeanFactory {
    private transient static volatile SpringBeanFactory INSTANCE = null;
    private ClassPathXmlApplicationContext context;

    public static SpringBeanFactory getInstance(String... files) {
        if (files.length == 0) {
            files = new String[]{"classpath*:spring-*.xml"};
        }
        if (INSTANCE == null) {
            synchronized (SpringBeanFactory.class) {
                if (INSTANCE == null) {
                    INSTANCE = new SpringBeanFactory(files);
                }
            }
        }
        return INSTANCE;
    }

    private SpringBeanFactory(String... files) {
        context = new ClassPathXmlApplicationContext(files);
        Runtime.getRuntime().addShutdownHook(new Thread() {
            @Override
            public void run() {
                log.info("close SpringBeanFactory in shutdown hook");
                context.close();
            }
        });
        context.start();
    }
    public <T> T getBean(Class<T> clazz) {
        return context.getBean(clazz);
    }
}

测试类

package com.leaf.elasticsearch;
import org.elasticsearch.index.query.QueryBuilders;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.elasticsearch.core.ElasticsearchTemplate;
import org.springframework.data.elasticsearch.core.query.IndexQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.UpdateQuery;
import java.util.List;

/**
 * @created by ycc
 * @since 2019-05-29
 */
public class TestEs {
    public static void main(String[] args) {
        ElasticsearchTemplate elasticsearchTemplate = SpringBeanFactory.getInstance().getBean(ElasticsearchTemplate.class);
        NativeSearchQuery searchQuery = new NativeSearchQuery(QueryBuilders.matchAllQuery());
        searchQuery.addIndices("skynet_social_twitter_status_2019_05");
        searchQuery.addTypes("status");
        searchQuery.setPageable(new PageRequest(1, 10));
        UpdateQuery updateQuery = new UpdateQuery();
        IndexQuery indexQuery = new IndexQuery();
        long count = elasticsearchTemplate.count(searchQuery);
        List<SocialStatus> socialStatusList = elasticsearchTemplate.queryForList(searchQuery, SocialStatus.class);
        System.out.println(count);
    }
}
### Spring Boot 中实现 Elasticsearch 模糊查询 在 Spring Boot 应用程序中集成 Elasticsearch 并执行模糊查询可以通过 `RestHighLevelClient` 或者更现代的 `Elasticsearch Rest Client` 来完成。下面展示了一个基于 `RestHighLevelClient` 实现模糊查询的例子。 为了创建一个模糊匹配查询,可以构建如下所示的 JSON 查询体: ```json { "query": { "fuzzy": { "field_name": { "value": "search_term", "fuzziness": "AUTO" } } } } ``` 此结构定义了针对特定字段 (`field_name`) 的模糊搜索请求,并指定了要查找的词项 (`search_term`) 及其允许的变化程度(`fuzziness`) [^1]。 当使用 Java 客户端库时,则可通过编写相应的代码来构造并发送这个查询到 Elasticsearch 集群: ```java import org.elasticsearch.action.search.SearchRequest; import org.elasticsearch.action.search.SearchResponse; import org.elasticsearch.client.RequestOptions; import org.elasticsearch.client.RestHighLevelClient; import org.elasticsearch.index.query.QueryBuilders; import org.elasticsearch.search.builder.SearchSourceBuilder; public class FuzzyQueryExample { private final RestHighLevelClient client; public void performFuzzySearch(String indexName, String fieldName, String searchTerm) throws IOException { SearchRequest searchRequest = new SearchRequest(indexName); SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); sourceBuilder.query(QueryBuilders.fuzzyQuery(fieldName, searchTerm).fuzziness(Fuzziness.AUTO)); searchRequest.source(sourceBuilder); SearchResponse response = client.search(searchRequest, RequestOptions.DEFAULT); // Process the response... } } ``` 这段代码展示了如何利用 `RestHighLevelClient` 创建一个带有模糊条件的查询对象,并将其作为参数传递给 `client.search()` 方法以获取结果集 。 对于更加复杂的场景,比如多字段模糊查询或是结合其他类型的过滤器一起工作,可以根据实际需求调整上述模板中的查询部分。
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