springboot 整合 ElasticSearch 方法 (二)

依赖

在pom.xml文件中需要引入3个依赖, 三个都必须有并且三个依赖的版本要一致, 不然会报错.

不一定是 7.6.1 这个版本 , 只需要保证这三个依赖的版本一致就可以了.

xml 复制代码

<dependency>
    <groupId>org.elasticsearch</groupId>
    <artifactId>elasticsearch</artifactId>
    <version>7.6.1</version>
</dependency>
<dependency>
    <groupId>org.elasticsearch.client</groupId>
    <artifactId>elasticsearch-rest-client</artifactId>
    <version>7.6.1</version>
</dependency>
 
<dependency>
    <groupId>org.elasticsearch.client</groupId>
    <artifactId>elasticsearch-rest-high-level-client</artifactId>
    <version>7.6.1</version>
</dependency>

配置类

用配置类的方法来配置 es, 配置文件中就只需要写一下用户名和密码之类的就可以了, 我们用 @Value 拿到它 .

java 复制代码

package com.es.config;
 
import org.apache.http.HttpHost;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
 
@Configuration
public class ElasticSearchClientConfig {
	@Value("${elasticsearch.username}")
	private String username;

	@Value("${elasticsearch.password}")
	private String password;
 
    @Bean
    public RestHighLevelClient restHighLevelClient(){
    	RestClientBuilder builder = RestClient.builder(new HttpHost("elastic-bingo.cld", 9200)); // host和ip也是一样可以写在配置文件中的
    	
    	// 设置用户名和密码
    	CredentialsProvider credentialsProvider = new BasicCredentialsProvider();
    	credentialsProvider.setCredentials(AuthScope.ANY, new UsernamePasswordCredentials(username, password);
    	builder.setHttpClientConfigCallback(f -> f.setDefaultCredentialsProvider(credentialsProvider));
    	
    	RestHighLevelClient client = new RestHighLevelClient(builder);
        return client;
    }
}

设置用户名和密码的部分参考这篇文章: ElasticSearch设置用户名和密码

如果是本地可以写 http://localhost, 拼接上端口, 可以访问这个页面就可以了.

实体类

实体类和普通的 mysql 的实体类是一样的.

这里没有加 id, es 会自动生成的 (不需要设置自增非空什么的, 它自己就会生成的)

java 复制代码

@Data
@NoArgsConstructor
@AllArgsConstructor
public class Log{
    private String username;
    private String content;
    private Long startTime;
    private Long endTime;
}

@Data, @NoArgsConstructor, @AllArgsConstructor 这三个注解是使用了 lombok 工具, 如果没有用这个依赖, 还是要生成一下get, set方法以及构造函数的哦.

其他类

因为我的项目中既用了 es, 又用了 mysql, es只是用来存储日志的 .

所以为了统一, 我还是创建了 LogService 和 LogServiceImpl , 没有 mapper, 怎删改查的逻辑我写在 LogServiceImpl 里了.

LogService

java 复制代码

public interface LogService {
	// 插入logs
	void insertLogs(List<Log> logs);
	
	// 查找logs
	List<Log> searchLogs(String username, Long startTime, Long endTime);
}

LogServiceImpl

实现类中用到了 JSON.toJSONString, 别忘记引入 fastjson 依赖:

xml 复制代码

		<!-- fastjson -->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.76</version>
        </dependency>

java 复制代码

@Service
public class LogServiceImpl implements LogService {

    @Autowired
    private RestHighLevelClient restHighLevelClient;

    @Override
    public void insertLogs(List<Log> logs) {
        BulkRequest bulkRequest = new BulkRequest();
        bulkRequest.timeout("10s");

        // es里的批量插入
        try {
            for (Log log:logs) {
                bulkRequest.add(
                        new IndexRequest("logs").source(JSON.toJSONString(log), XContentType.JSON)
                );
            }
            restHighLevelClient.bulk(bulkRequest, RequestOptions.DEFAULT);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    @Override
    public List<Log> searchLogs(String username, Long startTime, Long endTime) {
        SearchRequest searchRequest = new SearchRequest("logs"); // logs是索引名
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

        // 用来存放查到的所有log日志数据
        List<Log> logs = new ArrayList<>();

        // 查询条件
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        // 查找某个范围内的时间, time是es中的字段
        boolQuery.filter(QueryBuilders.rangeQuery("time").gte(startTime).lte(endTime));
        // 精确查找某个用户, 用must函数
        boolQuery.must(QueryBuilders.matchQuery("username",username));
        
        searchSourceBuilder.query(boolQuery);
        searchRequest.source(searchSourceBuilder);

        try {
            // 发送请求
            SearchResponse response = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);

            // 处理返回的数据, es返回的数据结构跟mysql不一样, 返回的是一个 SearchHit[] 对象, 所以这里再处理一下
            for (SearchHit hit: response.getHits().getHits()) {
                Log log = JSON.parseObject(JSON.toJSONString(hit.getSourceAsMap()), Log.class);
                logs.add(log);
            }
        } catch (IOException e) {
            e.printStackTrace();
        }

        return logs;
    }
}

es返回的结构

关于 es 查询返回的结构, 可以再看一下:

我们拿到的 response 的结构是这样的 (数据是我伪造的可能有出入, 大概结构是这样的):

java 复制代码

{
	"took":1,
	"time_out":false,
	"_shards": {
		"total":1,
		"succesful":1,
		"skipped":0,
		"failed":0
	},
	"hits": {
		"total":{
			"value":45,
			"relation":"eq"
		},
		"max_score":1.0,
		"hits":[
			{
				"_index":"logs",
				"_type":"_doc",
				"_id":"jsOFp_jdfk_operR",
				"_score":1.0,
				"_source": {
					"username":"xiaoming",
					"content":"I am content",
					"startTime":20240101,
					"endTime":20240201
				}
			},
			{
				"_index":"logs",
				"_type":"_doc",
				"_id":"jswep_joerfk_opeoRR",
				"_score":1.0,
				"_source": {
					"username":"xiaohong",
					"content":"I am content2",
					"startTime":20240101,
					"endTime":20240201
				}
			}
		]
	}
}

response.getHits().getHits() 的结构是这样的:

java 复制代码

[
	{
		"_index":"logs",
		"_type":"_doc",
		"_id":"jsOFp_jdfk_operR",
		"_score":1.0,
		"_source": {
			"username":"xiaoming",
			"content":"I am content",
			"startTime":20240101,
			"endTime":20240201
		}
	},
	{
		"_index":"logs",
		"_type":"_doc",
		"_id":"jswep_joerfk_opeoRR",
		"_score":1.0,
		"_source": {
			"username":"xiaohong",
			"content":"I am content2",
			"startTime":20240101,
			"endTime":20240201
		}
	}
]

在循环里面 hit.getSourceAsMap() 拿到的结构是这样的, 只拿到了 _source 的部分:

java 复制代码

	{
			"username":"xiaohong",
			"content":"I am content2",
			"startTime":20240101,
			"endTime":20240201
		}

测试案例

下面是一些 es 的测试案例, 作为参考.

在建测试类的时候, 不要忘记加 @RunWith(SpringRunner.class) 注解(因为配置类是写在config文件夹下面的, 需要 @Autowired 注入一起启动)

java 复制代码

@SpringBootTest
@RunWith(SpringRunner.class)
public class EsTest {
    @Autowired
    private RestHighLevelClient restHighLevelClient;
 
    //索引的创建
    @Test
    public void testCreateIndex() throws IOException {
        //1.创建索引请求
        CreateIndexRequest request = new CreateIndexRequest("java_test");
        //2.执行创建请求,请求后获得响应
        CreateIndexResponse createIndexResponse = restHighLevelClient.indices().create(request, RequestOptions.DEFAULT);
        System.out.println(createIndexResponse.isAcknowledged());
    }
 
    //获取索引,只能判断存不存在
    @Test
    public void testExistIndex() throws IOException {
        GetIndexRequest request = new GetIndexRequest("java_test");
        boolean exists = restHighLevelClient.indices().exists(request, RequestOptions.DEFAULT);
        System.out.println(exists);
    }
 
    //删除索引
    @Test
    public void testDeleteIndex() throws IOException {
        DeleteIndexRequest request = new DeleteIndexRequest("java_test");
        AcknowledgedResponse response = restHighLevelClient.indices().delete(request, RequestOptions.DEFAULT);
        System.out.println(response.isAcknowledged());
    }
 
    //添加文档
    @Test
    public void testAddDocument() throws IOException {
        //创建对象
        User user = new User("张三", 18);
        //创建请求
        IndexRequest request = new IndexRequest("java_test");
        //规则 put /java_test/_doc/1
        request.id("1");
        request.timeout(TimeValue.timeValueSeconds(1));
        //将数据放入请求 json
        request.source(JSON.toJSONString(user), XContentType.JSON);
        //客户端发送请求,获取响应结果
        IndexResponse indexResponse = restHighLevelClient.index(request, RequestOptions.DEFAULT);
 
        System.out.println(indexResponse.toString());
        System.out.println(indexResponse.status());
    }
 
    //获取文档,判断是否存在
    @Test
    public void testExistDocument() throws IOException {
        GetRequest request = new GetRequest("java_test","1");
        //不获取返回的_source的上下文
        request.fetchSourceContext(new FetchSourceContext(false));
        request.storedFields("_none_");
 
        boolean exists = restHighLevelClient.exists(request, RequestOptions.DEFAULT);
        System.out.println(exists);
    }
 
    //获取文档的信息
    @Test
    public void testGetDocument() throws IOException {
        GetRequest request = new GetRequest("java_test","1");
        GetResponse response = restHighLevelClient.get(request, RequestOptions.DEFAULT);
        String sourceAsString = response.getSourceAsString();
        System.out.println(response);//返回全部内容和命令是一样的
        System.out.println(sourceAsString);//打印文档内容
    }
 
    //更新文档的信息
    @Test
    public void testUpdateDocument() throws IOException {
        UpdateRequest request = new UpdateRequest("java_test","1");
        User user = new User("李四", 22);
        request.doc(JSON.toJSONString(user),XContentType.JSON);
        UpdateResponse response = restHighLevelClient.update(request, RequestOptions.DEFAULT);
        System.out.println(response.status());
    }
 
    //删除文档记录
    @Test
    public void testDeleteDocument() throws IOException {
        DeleteRequest request = new DeleteRequest("java_test", "1");
        DeleteResponse deleteResponse = restHighLevelClient.delete(request, RequestOptions.DEFAULT);
        System.out.println(deleteResponse.status());
    }
 
    //真实项目一般都会批量插入数据
    @Test
    public void testBulkRequest() throws IOException {
        BulkRequest bulkRequest = new BulkRequest();
        
        bulkRequest.timeout("10s");
 
        List<User> userList = new ArrayList<>();
        userList.add(new User("zhangan1", 18));
        userList.add(new User("zhangan2", 18));
        userList.add(new User("zhangan3", 18));
        userList.add(new User("lisi1", 18));
        userList.add(new User("lisi2", 18));
        userList.add(new User("lisi3", 18));
 
        //批处理请求
        for (int i = 0; i < userList.size(); i++) {
            //批量更新和批量删除,就在这里修改对应的请求就可以了
            bulkRequest.add(
                    new IndexRequest("java_test")
                            .id("" + (i+1))
                            .source(JSON.toJSONString(userList.get(i)), XContentType.JSON)
            );
        }
        BulkResponse bulkResponse = restHighLevelClient.bulk(bulkRequest, RequestOptions.DEFAULT);
        System.out.println(bulkResponse.hasFailures());//是否失败,返回false 代表成功
    }
 
    //查询
    @Test
    public void testSearch() throws IOException {
        SearchRequest searchRequest = new SearchRequest("java_test");
        //构建搜索条件
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        //查询条件,我们可以使用QueryBuilds工具类来实现
        //QueryBuilders.termQuery() 精确
        //QueryBuilders.matchAllQuery() 匹配所有
        TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("name", "lisi1");
 
        sourceBuilder.query(termQueryBuilder);
        sourceBuilder.timeout(new TimeValue(60, TimeUnit.SECONDS));
 
        searchRequest.source(sourceBuilder);
 
        SearchResponse searchResponse = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
        System.out.println(JSON.toJSONString(searchResponse.getHits()));
        System.out.println("===============================================");
        for (SearchHit searchHit:searchResponse.getHits().getHits()) {
            System.out.println(searchHit.getSourceAsString());
        }
 
    }
}