SpringBoot集成ELK實(shí)現(xiàn)數(shù)據(jù)存儲(chǔ)和日志管理的代碼示例

更新時(shí)間：2025年09月14日 11:06:55 作者：咖啡Beans

本文介紹在SpringBoot 2.7.18中集成Elasticsearch、Logstash、Kibana的步驟,簡(jiǎn)單展示了ES增刪改查的API用法,測(cè)試Logstash日志收集,并實(shí)現(xiàn)Kibana數(shù)據(jù)看板可視化分析日志,需要的朋友可以參考下

1) 啟動(dòng)docker中的elk服務(wù)
2) 引入依賴
3）配置連接ES（據(jù)說過時(shí)了，寫法僅供參考）
4）建立實(shí)體對(duì)象映射ES索引
5）定義Repository
6）邏輯類Service
7）綁定logstash
8）運(yùn)行測(cè)試類，寫入日志
9）kibana新建數(shù)據(jù)視圖管理日志

總結(jié)

摘要

本文介紹在SpringBoot 2.7.18中集成Elasticsearch、Logstash、Kibana的步驟，簡(jiǎn)單展示了ES增刪改查的API用法，測(cè)試Logstash日志收集，并實(shí)現(xiàn)Kibana數(shù)據(jù)看板可視化分析日志。

示例步驟

1) 啟動(dòng)docker中的elk服務(wù)

我這里logstash通信地址是192.168.233.129:4560

2) 引入依賴

<dependencies>
    <!--我這里sprinboot用的2.7.18 es9.0.3服務(wù)調(diào)save接口時(shí)會(huì)有報(bào)錯(cuò) 但不影響邏輯生效-->
    <!-- Spring Data Elasticsearch -->
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-data-elasticsearch</artifactId>
    </dependency>
    <!-- Elasticsearch Rest High Level Client -->
    <dependency>
        <groupId>org.elasticsearch.client</groupId>
        <artifactId>elasticsearch-rest-high-level-client</artifactId>
    </dependency>
    <!--集成logstash 版本有講究 不然會(huì)報(bào)錯(cuò)-->
    <dependency>
        <groupId>ch.qos.logback</groupId>
        <artifactId>logback-classic</artifactId>
        <version>1.2.11</version>
    </dependency>
    <dependency>
        <groupId>net.logstash.logback</groupId>
        <artifactId>logstash-logback-encoder</artifactId>
        <version>6.6</version>
    </dependency>
    <dependency>
        <groupId>org.projectlombok</groupId>
        <artifactId>lombok</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-test</artifactId>
    </dependency>
</dependencies>

3）配置連接ES（據(jù)說過時(shí)了，寫法僅供參考）

package org.coffeebeans.config;

import org.apache.http.HttpHost;
import org.apache.http.auth.AuthScope;
import org.apache.http.auth.UsernamePasswordCredentials;
import org.apache.http.client.CredentialsProvider;
import org.apache.http.impl.client.BasicCredentialsProvider;
import org.elasticsearch.client.RestClient;
import org.elasticsearch.client.RestHighLevelClient;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.elasticsearch.core.ElasticsearchOperations;
import org.springframework.data.elasticsearch.core.ElasticsearchRestTemplate;

@Configuration
public class ElasticsearchConfig {

    @Value("${spring.data.elasticsearch.rest.uris}")
    private String elasticsearchUrl;

    @Value("${spring.data.elasticsearch.rest.username}")
    private String username;

    @Value("${spring.data.elasticsearch.rest.password}")
    private String password;

    @Bean
    public RestHighLevelClient restHighLevelClient() {
        final CredentialsProvider credentialsProvider = new BasicCredentialsProvider();
        credentialsProvider.setCredentials(AuthScope.ANY, new UsernamePasswordCredentials(username, password));

        return new RestHighLevelClient(
                RestClient.builder(new HttpHost("192.168.233.129", 9200, "http"))
                        .setHttpClientConfigCallback(httpClientBuilder ->
                                httpClientBuilder.setDefaultCredentialsProvider(credentialsProvider)));
    }

    @Bean
    public ElasticsearchOperations elasticsearchTemplate(RestHighLevelClient client) {
        return new ElasticsearchRestTemplate(client);
    }
}

application.yml

spring:
  data:
    elasticsearch:
      rest:
        uris: http://192.168.233.129:9200 # Elasticsearch 地址
        username: elastic
        password: your_password
        connection-timeout: 1000 #連接超時(shí)
        read-timeout: 3000 #請(qǐng)求超時(shí)
      data:
        elasticsearch:
          repositories:
            enabled: true

4）建立實(shí)體對(duì)象映射ES索引

package org.coffeebeans.entity;

import com.fasterxml.jackson.annotation.JsonFormat;
import lombok.Data;
import org.elasticsearch.common.geo.GeoPoint;
import org.springframework.data.annotation.CreatedDate;
import org.springframework.data.annotation.Id;
import org.springframework.data.elasticsearch.annotations.*;
import java.math.BigDecimal;
import java.util.Date;

/**
 * <li>ClassName: Book </li>
 * <li>Author: OakWang </li>
 * 把實(shí)體映射成ES的索引
 */
@Data
@Document(indexName = "book")//indexName指定索引名 默認(rèn)存儲(chǔ)庫(kù)引導(dǎo)時(shí)創(chuàng)建索引
public class Book {

    //標(biāo)記主鍵字段 對(duì)應(yīng)ES的_id
    @Id
    private Integer id;

    //type指定字段類型；analyzer指定自定義分析器和規(guī)范化器，這里使用IK分詞器(需要es安裝插件)
    //FieldType常用 Text, Keyword, Integer, Long, Double, Date, Boolean, Object, Nested, Ip
    @Field(type = FieldType.Text, analyzer = "ik_max_word")
    private String title;

    @Field(type = FieldType.Keyword)
    private String author;

    @Field(type = FieldType.Text, analyzer = "ik_max_word")
    private String content;

    @Field(type = FieldType.Double)
    private BigDecimal price;

    //標(biāo)記地理坐標(biāo)字段（經(jīng)緯度）
    @GeoPointField
    private GeoPoint location;

    @CreatedDate
    @Field(type = FieldType.Date, format = DateFormat.date_hour_minute_second)// format指定內(nèi)置日期格式
    @JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss", timezone = "GMT+8")//這里應(yīng)該確保時(shí)間格式和索引里的匹配
    private Date createTime;

    /*
        對(duì)應(yīng)ES的restful寫法 使用IK分詞器的寫法(ES需要提前安裝好IK分詞器)

        PUT /book
        {
          "settings": {
            "number_of_shards": 2,
            "number_of_replicas": 1,
            "analysis": {
              "analyzer": {
                "ik_max_word": {
                  "type": "custom",
                  "tokenizer": "ik_max_word"
                }
              }
            }
          },
          "mappings": {
            "properties": {
              "title": {
                "type": "text",
                "analyzer": "ik_max_word"
              },
              "author": {
                "type": "keyword"
              },
              "content": {
                "type": "text",
                "analyzer": "ik_max_word"
              },
              "price": {
                "type": "double"
              },
              "location": {
                "type": "geo_point"
              },
              "createTime": {
                "type": "date",
                "format": "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd'T'HH:mm:ss||strict_date_optional_time"
              }
            }
          }
        }
     */


    /*
        使用內(nèi)置分詞器的寫法

        PUT /book
        {
          "settings": {
            "number_of_shards": 2,
            "number_of_replicas": 1
          },
          "mappings": {
            "properties": {
              "title":   { "type": "text", "analyzer": "standard" },
              "author":  { "type": "keyword" },
              "content": { "type": "text", "analyzer": "standard" },
              "price":   { "type": "double" },
              "location":{ "type": "geo_point" },
              "createTime": { "type": "date", "format": "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd'T'HH:mm:ss||strict_date_optional_time" }
            }
          }
        }

     */

}

5）定義Repository

package org.coffeebeans.mapper;

import org.coffeebeans.entity.Book;
import org.springframework.data.elasticsearch.repository.ElasticsearchRepository;
import org.springframework.stereotype.Repository;

/**
 * <li>ClassName: BookRepository </li>
 * <li>Author: OakWang </li>
 */
@Repository
public interface BookRepository extends ElasticsearchRepository<Book, String> {
    // 自定義查詢方法（根據(jù)方法名自動(dòng)生成查詢） 這一步?jīng)]試過
}

6）邏輯類Service

package org.coffeebeans.service;

import lombok.extern.slf4j.Slf4j;
import org.coffeebeans.entity.Book;
import org.coffeebeans.mapper.BookRepository;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
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.search.SearchHit;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;

/**
 * <li>ClassName: BookService </li>
 * <li>Author: OakWang </li>
 */
@Slf4j
@Service
public class BookService {

    @Autowired
    private RestHighLevelClient restHighLevelClient;

    @Autowired
    private BookRepository bookRepository;

    // 保存
    public Book save(Book book) {
        return bookRepository.save(book);
    }

    // 查詢
    public Book findById(String id) {
        return bookRepository.findById(id).orElse(null);
    }

    // 刪除
    public void deleteById(String id) {
        bookRepository.deleteById(id);
    }

    // 高亮查詢
    public List<Map<String, Object>> searchWithHighlight(String keyword) {
        // 1. 構(gòu)建查詢條件
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.query(QueryBuilders.matchQuery("title", keyword));

        // 2. 配置高亮字段和樣式
        HighlightBuilder highlightBuilder = new HighlightBuilder();
        highlightBuilder
                .field("title")  // 指定需要高亮的字段
                .preTags("<span style= 'color:red'>")  // 匹配詞前綴標(biāo)簽
                .postTags("</span>");  // 匹配詞后綴標(biāo)簽
        sourceBuilder.highlighter(highlightBuilder);

        // 3. 構(gòu)建搜索請(qǐng)求
        SearchRequest searchRequest = new SearchRequest("book");
        searchRequest.source(sourceBuilder);

        List<Map<String, Object>> results = new ArrayList<>();
        try {
            // 4. 執(zhí)行查詢
            SearchResponse searchResponse= restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);

            // 5. 處理高亮結(jié)果
            for (SearchHit hit : searchResponse.getHits()) {
                Map<String, Object> sourceAsMap = hit.getSourceAsMap(); // 獲取結(jié)果集
                Map<String, HighlightField> highlightFields = hit.getHighlightFields(); // 獲取高亮字段

                // 將高亮字段值替換到原始結(jié)果中
                if (highlightFields.containsKey("title")) {
                    HighlightField highlightField = highlightFields.get("title");
                    if (highlightField.getFragments() != null && highlightField.getFragments().length > 0) {
                        sourceAsMap.put("title", highlightField.getFragments()[0].string());
                    }
                }
                results.add(sourceAsMap);
            }
        } catch (IOException e) {
            e.printStackTrace();
            log.error("查詢失?。? + e.getMessage());
        }
        return results;
    }
}

7）綁定logstash

定義輸出到logstash的日志邏輯logback.xml

<?xml version="1.0" encoding="UTF-8"?>
<configuration>
    <property name="log.path" value="../logs/elasticsearch-use"/>
    <property name="console.log.pattern"
              value="%red(%d{yyyy-MM-dd HH:mm:ss.SSS}) %green([%thread]) %highlight(%-5level) %boldMagenta(%logger{36}%n) - %msg%n"/>
    <property name="log.pattern" value="%d{yyyy-MM-dd HH:mm:ss} [%thread] %-5level %logger{36} - %msg%n"/>

    <!-- logstash推送 -->
    <appender name="LOGSTASH" class="net.logstash.logback.appender.LogstashTcpSocketAppender">
        <destination>192.168.233.129:4560</destination>
        <encoder class="net.logstash.logback.encoder.LogstashEncoder" charset="UTF-8"/>
    </appender>

    <!-- 控制臺(tái)輸出 -->
    <appender name="console" class="ch.qos.logback.core.ConsoleAppender">
        <encoder class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
            <pattern>${console.log.pattern}</pattern>
            <charset>utf-8</charset>
        </encoder>
    </appender>

    <!-- 系統(tǒng)操作日志 -->
    <root level="info">
        <appender-ref ref="LOGSTASH"/>
        <appender-ref ref="console"/>
    </root>
</configuration>

8）運(yùn)行測(cè)試類，寫入日志

package org.coffeebeans;

import lombok.extern.slf4j.Slf4j;
import org.coffeebeans.entity.Book;
import org.coffeebeans.service.BookService;
import org.elasticsearch.common.geo.GeoPoint;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import java.math.BigDecimal;
import java.util.Date;

/**
 * <li>ClassName: org.coffeebeans.ESTest </li>
 * <li>Author: OakWang </li>
 */
@Slf4j
@SpringBootTest
public class ESTest {


    @Autowired
    private BookService bookService;

    @Test
    void test1() {
       Book book = new Book();
       book.setId(1);
       book.setAuthor("作者");
       book.setPrice(new BigDecimal("30.00"));
       book.setLocation(new GeoPoint(40.12, -71.34));
       book.setTitle("你是一個(gè)牛馬");
       book.setContent("賺錢生活學(xué)習(xí)");
       book.setCreateTime(new Date());
       bookService.save(book); //這里es和服務(wù)端版本不兼容會(huì)報(bào)錯(cuò)Unable to parse response body for Response，但不影響結(jié)果
       /*
            類比request：
          PUT /book/_doc/1
          {
            "id": 1,
            "author": "作者",
            "price": 30.00,
            "location": {
             "lat": 40.12,
             "lon": -71.34
            },
            "title": "你是一個(gè)牛馬",
            "content": "賺錢生活學(xué)習(xí)",
            "createTime": "2025-07-20 12:30:39"
          }
         */
    }

    @Test
    void test2() {
       log.info("返回結(jié)果：" + bookService.findById("1"));
        /*
            返回結(jié)果：Book(id=1, title=你是一個(gè)牛馬, author=作者, content=賺錢生活學(xué)習(xí), price=30.0, location=40.12, -71.34, createTime=Mon Jul 20 12:30:39 CST 2025)

            類比request：GET /book/_doc/1
            返回：{"id":1,"title":"你是一個(gè)牛馬","author":"作者","content":"賺錢生活學(xué)習(xí)","price":30.0,"location":{"lat":40.12,"lon":-71.34,"geohash":"drjk0xegcw06","fragment":true},"createTime":"2025-07-20 12:30:39"}
         */
    }

    @Test
    void test3() {
       log.info("返回結(jié)果：" + bookService.searchWithHighlight("你是一個(gè)牛馬"));
        /*
            返回結(jié)果：[{createTime=2025-07-28T14:09:39, author=作者, price=30.0, location={lon=-71.34, lat=40.12}, _class=org.coffeebeans.entity.Book, id=1, title=<span style= 'color:red'>你</span><span style= 'color:red'>是</span><span style= 'color:red'>一個(gè)</span><span style= 'color:red'>牛馬</span>, content=賺錢生活學(xué)習(xí)}]

            類比request：
          GET /book/_search
          {
            "query": {
             "match": {
               "title": {
                "query": "你是一個(gè)牛馬",
                "analyzer": "ik_max_word"
               }
              }
            },
            "highlight": {
             "pre_tags": ["<span style='color:red'>"],
             "post_tags": ["</span>"],
             "fields": {
               "title": {}
             }
            }
          }
            返回：[{"createTime":"2025-07-20T12:30:39","author":"作者","price":30.0,"location":{"lon":-71.34,"lat":40.12},"_class":"org.coffeebeans.entity.Book","id":1,"title":"<span style= 'color:red'>你</span><span style= 'color:red'>是</span><span style= 'color:red'>一個(gè)</span><span style= 'color:red'>牛馬</span>","content":"賺錢生活學(xué)習(xí)"}]
         */
    }

    @Test
    void test4() {
       bookService.deleteById("1"); //這里es和服務(wù)端版本不兼容會(huì)報(bào)錯(cuò)Unable to parse response body for Response，但不影響結(jié)果
        /*
            類比request：
            DELETE /book/_doc/1
         */
    }

    @Test
    void test5() {
       log.info("返回結(jié)果：來自sprinboot的測(cè)試日志");
    }

}

9）kibana新建數(shù)據(jù)視圖管理日志

需確保日志寫進(jìn)來了，索引模式才能匹配到源，進(jìn)行視圖管理。

打開discover進(jìn)行日志篩選

總結(jié)

以上我們了解了如何在Springboot2.7.18中集成ELK，以實(shí)現(xiàn)ES的API調(diào)用，并能用Logstash收集日志，ES存儲(chǔ)日志，Kibana可視化分析日志。常見問題有版本間的兼容性、日志推送的集成寫法、端口通信、ES配置等。

以上就是SpringBoot集成ELK實(shí)現(xiàn)數(shù)據(jù)存儲(chǔ)和日志管理的代碼示例的詳細(xì)內(nèi)容，更多關(guān)于SpringBoot ELK數(shù)據(jù)存儲(chǔ)和日志管理的資料請(qǐng)關(guān)注腳本之家其它相關(guān)文章！

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SpringBoot集成ELK實(shí)現(xiàn)數(shù)據(jù)存儲(chǔ)和日志管理的代碼示例

目錄

摘要

示例步驟

1) 啟動(dòng)docker中的elk服務(wù)

2) 引入依賴

3）配置連接ES（據(jù)說過時(shí)了，寫法僅供參考）

4）建立實(shí)體對(duì)象映射ES索引

5）定義Repository

6）邏輯類Service

7）綁定logstash

8）運(yùn)行測(cè)試類，寫入日志

9）kibana新建數(shù)據(jù)視圖管理日志

總結(jié)

相關(guān)文章

最新評(píng)論

大家感興趣的內(nèi)容

最近更新的內(nèi)容

常用在線小工具

国产无遮挡裸体免费直播视频,久久精品国产蜜臀av,动漫在线视频一区二区,欧亚日韩一区二区三区,久艹在线 免费视频,国产精品美女网站免费,正在播放 97超级视频在线观看,斗破苍穹年番在线观看免费,51最新乱码中文字幕

SpringBoot集成ELK實(shí)現(xiàn)數(shù)據(jù)存儲(chǔ)和日志管理的代碼示例

目錄

摘要

示例步驟

1) 啟動(dòng)docker中的elk服務(wù)

2) 引入依賴

3）配置連接ES（據(jù)說過時(shí)了，寫法僅供參考）

4）建立實(shí)體對(duì)象映射ES索引

5）定義Repository

6）邏輯類Service

7）綁定logstash

8）運(yùn)行測(cè)試類，寫入日志

9）kibana新建數(shù)據(jù)視圖管理日志

總結(jié)

相關(guān)文章

最新評(píng)論

大家感興趣的內(nèi)容

最近更新的內(nèi)容

常用在線小工具

国产无遮挡裸体免费直播视频,久久精品国产蜜臀av,动漫在线视频一区二区,欧亚日韩一区二区三区,久艹在线免费视频,国产精品美女网站免费,正在播放 97超级视频在线观看,斗破苍穹年番在线观看免费,51最新乱码中文字幕

3）配置連接ES（據(jù)說過時(shí)了，寫法僅供參考）

8）運(yùn)行測(cè)試類，寫入日志