实战：大数据Flink CDC同步Mysql数据到ElasticSearch

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前言

前面的博文我们分享了大数据分布式流处理计算框架Flink和其基础环境的搭建，相信各位看官都已经搭建好了自己的运行环境。那么，今天就来实战一把使用Flink CDC同步Mysql数据导Elasticsearch。

知识积累

CDC简介

CDC 的全称是 Change Data Capture（变更数据捕获技术），在广义的概念上，只要是能捕获数据变更的技术，我们都可以称之为 CDC 。目前通常描述的 CDC 技术主要面向数据库的变更，是一种用于捕获数据库中数据变更的技术。
实战：大数据Flink CDC同步Mysql数据到ElasticSearch,大数据,flink,docker,大数据,flink,mysql,elasticsearch,cdc

CDC的种类

CDC 的技术方案非常多，目前业界主流的实现机制可以分为两种：
基于查询的 CDC：
◆离线调度查询作业，批处理。把一张表同步到其他系统，每次通过查询去获取表中最新的数据；
◆无法保障数据一致性，查的过程中有可能数据已经发生了多次变更；
◆不保障实时性，基于离线调度存在天然的延迟。
基于日志的 CDC：
◆实时消费日志，流处理，例如 MySQL 的 binlog 日志完整记录了数据库中的变更，可以把 binlog 文件当作流的数据源；
◆保障数据一致性，因为 binlog 文件包含了所有历史变更明细；
◆保障实时性，因为类似 binlog 的日志文件是可以流式消费的，提供的是实时数据。

常见的CDC方案比较

实战：大数据Flink CDC同步Mysql数据到ElasticSearch,大数据,flink,docker,大数据,flink,mysql,elasticsearch,cdc

Springboot接入Flink CDC

由于Flink官方提供了Java、Scala、Python语言接口用以开发Flink应用程序，故我们可以直接用Maven引入Flink依赖进行功能实现。

环境准备

1、SpringBoot 2.4.3
2、Flink 1.13.6
3、Scala 2.11
4、Maven 3.6.3
5、Java 8
6、mysql 8
7、es 7
Springboot、Flink、Scala版本一定要相匹配，也可以严格按照本博客进行配置。
注意：
如果只是本机测试玩玩，Maven依赖已经整合计算环境，不用额外搭建Flink环境；如果需要部署到Flink集群则需要额外搭建Flink集群。另外Scala 版本只是用于依赖选择，不用关心Scala环境。

项目搭建

1、引入Flink CDC Maven依赖

pom.xml

<parent>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-parent</artifactId>
    <version>2.4.3</version>
    <relativePath/> <!-- lookup parent from repository -->
</parent>
<groupId>com.example</groupId>
<artifactId>flink-demo</artifactId>
<version>0.0.1-SNAPSHOT</version>
<name>flink-demo</name>
<description>Demo project for Spring Boot</description>
<properties>
    <java.version>8</java.version>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
    <flink.version>1.13.6</flink.version>
</properties>
<dependencies>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>
    <dependency>
        <groupId>mysql</groupId>
        <artifactId>mysql-connector-java</artifactId>
        <version>8.0.23</version>
    </dependency>
    <!-- Flink CDC connector for MySQL -->
    <dependency>
        <groupId>com.ververica</groupId>
        <artifactId>flink-connector-mysql-cdc</artifactId>
        <version>2.1.0</version>
        <exclusions>
            <exclusion>
                <groupId>org.apache.flink</groupId>
                <artifactId>flink-shaded-guava</artifactId>
            </exclusion>
        </exclusions>
    </dependency>

    <!-- 
    Flink CDC connector for ES 
    https://mvnrepository.com/artifact/org.apache.flink/flink-connector-elasticsearch7_2.11
    -->
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-connector-elasticsearch7_2.11</artifactId>
        <version>${flink.version}</version>
    </dependency>

    <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-json -->
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-json</artifactId>
        <version>${flink.version}</version>
    </dependency>

    <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-table-api-java-bridge_2.11 -->
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-table-api-java-bridge_2.11</artifactId>
        <version>${flink.version}</version>
    </dependency>

    <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-table-planner_2.11 -->
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-table-planner_2.11</artifactId>
        <version>${flink.version}</version>
    </dependency>
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-table-planner-blink_2.11</artifactId>
        <version>${flink.version}</version>
    </dependency>

    <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-clients_2.11 -->
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-clients_2.11</artifactId>
        <version>${flink.version}</version>
    </dependency>
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-java</artifactId>
        <version>${flink.version}</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-streaming-java_2.11 -->
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-streaming-java_2.11</artifactId>
        <version>${flink.version}</version>
    </dependency>
    
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-test</artifactId>
        <scope>test</scope>
    </dependency>
</dependencies>

2、创建测试数据库表users

users表结构

CREATE TABLE `users` (
  `id` bigint NOT NULL AUTO_INCREMENT COMMENT 'ID',
  `name` varchar(50) NOT NULL COMMENT '名称',
  `birthday` timestamp NULL DEFAULT NULL COMMENT '生日',
  `ts` timestamp NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
  PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='用户';

3、es索引操作

es操作命令
es索引会自动创建

#设置es分片与副本
curl -X PUT "10.10.22.174:9200/users" -u elastic:VaHcSC3mOFfovLWTqW6E   -H 'Content-Type: application/json' -d'
{
    "settings" : {
        "number_of_shards" : 3,
        "number_of_replicas" : 2
    }
}'

#查询index下全部数据 
curl -X GET "http://10.10.22.174:9200/users/_search"  -u elastic:VaHcSC3mOFfovLWTqW6E -H 'Content-Type: application/json' 

#删除index
curl -X DELETE "10.10.22.174:9200/users" -u elastic:VaHcSC3mOFfovLWTqW6E

本地运行

@SpringBootTest
class FlinkDemoApplicationTests {

    /**
     * flinkCDC
     * mysql to es
     * @author senfel
     * @date 2023/8/22 14:37 
     * @return void
     */
    @Test
    void flinkCDC() throws Exception{
        EnvironmentSettings fsSettings = EnvironmentSettings.newInstance()
                //.useBlinkPlanner()
                .inStreamingMode()
                .build();
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);
        StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env,fsSettings);
        tableEnv.getConfig().setSqlDialect(SqlDialect.DEFAULT);
        // 数据源表
        String sourceDDL =
                "CREATE TABLE users (\n" +
                        "  id BIGINT PRIMARY KEY NOT ENFORCED ,\n" +
                        "  name STRING,\n" +
                        "  birthday TIMESTAMP(3),\n" +
                        "  ts TIMESTAMP(3)\n" +
                        ") WITH (\n" +
                        "      'connector' = 'mysql-cdc',\n" +
                        "      'hostname' = '10.10.10.202',\n" +
                        "      'port' = '6456',\n" +
                        "      'username' = 'root',\n" +
                        "      'password' = 'MyNewPass2021',\n" +
                        "      'server-time-zone' = 'Asia/Shanghai',\n" +
                        "      'database-name' = 'cdc',\n" +
                        "      'table-name' = 'users'\n" +
                        "      )";
        // 输出目标表
        String sinkDDL =
                "CREATE TABLE users_sink_es\n" +
                        "(\n" +
                        "    id BIGINT PRIMARY KEY NOT ENFORCED,\n" +
                        "    name STRING,\n" +
                        "    birthday TIMESTAMP(3),\n" +
                        "    ts TIMESTAMP(3)\n" +
                        ") \n" +
                        "WITH (\n" +
                        "  'connector' = 'elasticsearch-7',\n" +
                        "  'hosts' = 'http://10.10.22.174:9200',\n" +
                        "  'index' = 'users',\n" +
                        "  'username' = 'elastic',\n" +
                        "  'password' = 'VaHcSC3mOFfovLWTqW6E'\n" +
                        ")";
        // 简单的聚合处理
        String transformSQL = "INSERT INTO users_sink_es SELECT * FROM users";

        tableEnv.executeSql(sourceDDL);
        tableEnv.executeSql(sinkDDL);
        TableResult result = tableEnv.executeSql(transformSQL);
        result.print();
        env.execute("mysql-to-es");
    }

请求es用户索引发现并无数据：

[root@bluejingyu-1 ~]# curl -X GET “http://10.10.22.174:9200/users/_search” -u elastic:VaHcSC3mOFfovLWTqW6E -H ‘Content-Type: application/json’
{“took”:0,“timed_out”:false,“_shards”:{“total”:3,“successful”:3,“skipped”:0,“failed”:0},“hits”:{“total”:{“value”:0,“relation”:“eq”},“max_score”:null,“hits”:[]}}

操作mysql数据库新增多条数据

5 senfel 2023-08-30 15:02:28 2023-08-30 15:02:36
6 sebfel2 2023-08-30 15:02:43 2023-08-30 15:02:47

再次获取es用户索引查看数据

[root@bluejingyu-1 ~]# curl -X GET “http://10.10.22.174:9200/users/_search” -u elastic:VaHcSC3mOFfovLWTqW6E -H ‘Content-Type: application/json’
{“took”:67,“timed_out”:false,“_shards”:{“total”:3,“successful”:3,“skipped”:0,“failed”:0},“hits”:{“total”:{“value”:2,“relation”:“eq”},“max_score”:1.0,“hits”:[{“_index”:“users”,“_type”:“_doc”,“_id”:“5”,“_score”:1.0,“_source”:{“id”:5,“name”:“senfel”,“birthday”:“2023-08-30 15:02:28”,“ts”:“2023-08-30 15:02:36”}},{“_index”:“users”,“_type”:“_doc”,“_id”:“6”,“_score”:1.0,“_source”:{“id”:6,“name”:“sebfel2”,“birthday”:“2023-08-30 15:02:43”,“ts”:“2023-08-30 15:02:47”}}]}}

由上测试结果可知本地运行无异常。

集群运行

项目树：
实战：大数据Flink CDC同步Mysql数据到ElasticSearch,大数据,flink,docker,大数据,flink,mysql,elasticsearch,cdc

1、创建集群运行代码逻辑

/**
 * FlinkMysqlToEs
 * @author senfel
 * @version 1.0
 * @date 2023/8/22 14:56
 */
public class FlinkMysqlToEs {

    public static void main(String[] args) throws Exception {
        EnvironmentSettings fsSettings = EnvironmentSettings.newInstance()
                //.useBlinkPlanner()
                .inStreamingMode()
                .build();
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);
        StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env,fsSettings);
        tableEnv.getConfig().setSqlDialect(SqlDialect.DEFAULT);
        // 数据源表
        String sourceDDL =
                "CREATE TABLE users (\n" +
                        "  id BIGINT PRIMARY KEY NOT ENFORCED ,\n" +
                        "  name STRING,\n" +
                        "  birthday TIMESTAMP(3),\n" +
                        "  ts TIMESTAMP(3)\n" +
                        ") WITH (\n" +
                        "      'connector' = 'mysql-cdc',\n" +
                        "      'hostname' = '10.10.10.202',\n" +
                        "      'port' = '6456',\n" +
                        "      'username' = 'root',\n" +
                        "      'password' = 'MyNewPass2021',\n" +
                        "      'server-time-zone' = 'Asia/Shanghai',\n" +
                        "      'database-name' = 'cdc',\n" +
                        "      'table-name' = 'users'\n" +
                        "      )";
        // 输出目标表
        String sinkDDL =
                "CREATE TABLE users_sink_es\n" +
                        "(\n" +
                        "    id BIGINT PRIMARY KEY NOT ENFORCED,\n" +
                        "    name STRING,\n" +
                        "    birthday TIMESTAMP(3),\n" +
                        "    ts TIMESTAMP(3)\n" +
                        ") \n" +
                        "WITH (\n" +
                        "  'connector' = 'elasticsearch-7',\n" +
                        "  'hosts' = 'http://10.10.22.174:9200',\n" +
                        "  'index' = 'users',\n" +
                        "  'username' = 'elastic',\n" +
                        "  'password' = 'VaHcSC3mOFfovLWTqW6E'\n" +
                        ")";
        // 简单的聚合处理
        String transformSQL = "INSERT INTO users_sink_es SELECT * FROM users";

        tableEnv.executeSql(sourceDDL);
        tableEnv.executeSql(sinkDDL);
        TableResult result = tableEnv.executeSql(transformSQL);
        result.print();
        env.execute("mysql-to-es");
    }
}

2、集群运行需要将Flink程序打包，不同于普通的jar包，这里必须采用shade

<build>
    <finalName>flink-demo</finalName>
    <plugins>
        <plugin>
            <groupId>org.apache.maven.plugins</groupId>
            <artifactId>maven-shade-plugin</artifactId>
            <version>3.2.4</version>
            <executions>
                <execution>
                    <phase>package</phase>
                    <goals>
                        <goal>shade</goal>
                    </goals>
                    <configuration>
                        <createDependencyReducedPom>false</createDependencyReducedPom>
                        <artifactSet>
                            <excludes>
                                <exclude>com.google.code.findbugs:jsr305</exclude>
                                <exclude>org.slf4j:*</exclude>
                                <exclude>log4j:*</exclude>
                            </excludes>
                        </artifactSet>
                        <filters>
                            <filter>
                                <artifact>*:*</artifact>
                                <excludes>
                                    <exclude>module-info.class</exclude>
                                    <exclude>META-INF/*.SF</exclude>
                                    <exclude>META-INF/*.DSA</exclude>
                                    <exclude>META-INF/*.RSA</exclude>
                                </excludes>
                            </filter>
                        </filters>
                        <transformers>
                            <transformer
                                    implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
                                <resource>META-INF/spring.handlers</resource>
                                <resource>reference.conf</resource>
                            </transformer>
                            <transformer
                                    implementation="org.springframework.boot.maven.PropertiesMergingResourceTransformer">
                                <resource>META-INF/spring.factories</resource>
                            </transformer>
                            <transformer
                                    implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
                                <resource>META-INF/spring.schemas</resource>
                            </transformer>
                            <transformer
                                    implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer" />
                            <transformer
                                    implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
                                <mainClass>com.example.flinkdemo.FlinkMysqlToEs</mainClass>
                            </transformer>
                        </transformers>
                    </configuration>
                </execution>
            </executions>
        </plugin>
    </plugins>
</build>

将项目打包将包传入集群启动

1、项目打包
mvn package -Dmaven.test.skip=true

2、手动上传到服务器拷贝如集群内部运行：
/opt/flink/bin# ./flink run …/flink-demo.jar

3、测试操作mysql数据库

删除id =6只剩下id=5的用户

5 senfel000 2023-08-30 15:02:28 2023-08-30 15:02:36

4、查询es用户索引

[root@bluejingyu-1 ~]# curl -X GET “http://10.10.22.174:9200/users/_search” -u elastic:VaHcSC3mOFfovLWTqW6E -H ‘Content-Type: application/json’
{“took”:931,“timed_out”:false,“_shards”:{“total”:3,“successful”:3,“skipped”:0,“failed”:0},“hits”:{“total”:{“value”:1,“relation”:“eq”},“max_score”:1.0,“hits”:[{“_index”:“users”,“_type”:“_doc”,“_id”:“5”,“_score”:1.0,“_source”:{“id”:5,“name”:“senfel”,“birthday”:“2023-08-30 15:02:28”,“ts”:“2023-08-30 15:02:36”}}]}}[

如上所示es中只剩下了id==5的数据；
经测试手动部署到集群环境成功。

远程将包部署到flink集群

1、新增controller触发接口

/**
 * remote runTask
 * @author senfel
 * @date 2023/8/30 16:57 
 * @return org.apache.flink.api.common.JobID
 */
@GetMapping("/runTask")
public JobID runTask() {
    try {
        // 集群信息
        Configuration configuration = new Configuration();
        configuration.setString(JobManagerOptions.ADDRESS, "10.10.22.91");
        configuration.setInteger(JobManagerOptions.PORT, 6123);
        configuration.setInteger(RestOptions.PORT, 8081);
        RestClusterClient<StandaloneClusterId>  client = new RestClusterClient<>(configuration, StandaloneClusterId.getInstance());
        //jar包存放路径，也可以直接调用hdfs中的jar
        File jarFile = new File("input/flink-demo.jar");
        SavepointRestoreSettings savepointRestoreSettings = SavepointRestoreSettings.none();
        //构建提交任务参数
        PackagedProgram program = PackagedProgram
                .newBuilder()
                .setConfiguration(configuration)
                .setEntryPointClassName("com.example.flinkdemo.FlinkMysqlToEs")
                .setJarFile(jarFile)
                .setSavepointRestoreSettings(savepointRestoreSettings).build();
        //创建任务
        JobGraph jobGraph = PackagedProgramUtils.createJobGraph(program, configuration, 1, false);
        //提交任务
        CompletableFuture<JobID> result = client.submitJob(jobGraph);
        return result.get();
    } catch (Exception e) {
        e.printStackTrace();
        return null;
    }
}

2、启动Springboot项目
实战：大数据Flink CDC同步Mysql数据到ElasticSearch,大数据,flink,docker,大数据,flink,mysql,elasticsearch,cdc

3、postman请求
实战：大数据Flink CDC同步Mysql数据到ElasticSearch,大数据,flink,docker,大数据,flink,mysql,elasticsearch,cdc
4、查看Fink集群控制台

由上图所示已将远程部署完成。

5、测试操作mysql数据库

5 senfel000 2023-08-30 15:02:28 2023-08-30 15:02:36
7 eeeee 2023-08-30 17:12:00 2023-08-30 17:12:04
8 33333 2023-08-30 17:12:08 2023-08-30 17:12:11

6、查询es用户索引

[root@bluejingyu-1 ~]# curl -X GET “http://10.10.22.174:9200/users/_search” -u elastic:VaHcSC3mOFfovLWTqW6E -H ‘Content-Type: application/json’
{“took”:766,“timed_out”:false,“_shards”:{“total”:3,“successful”:3,“skipped”:0,“failed”:0},“hits”:{“total”:{“value”:3,“relation”:“eq”},“max_score”:1.0,“hits”:[{“_index”:“users”,“_type”:“_doc”,“_id”:“5”,“_score”:1.0,“_source”:{“id”:5,“name”:“senfel000”,“birthday”:“2023-08-30 15:02:28”,“ts”:“2023-08-30 15:02:36”}},{“_index”:“users”,“_type”:“_doc”,“_id”:“7”,“_score”:1.0,“_source”:{“id”:7,“name”:“eeeee”,“birthday”:“2023-08-30 17:12:00”,“ts”:“2023-08-30 17:12:04”}},{“_index”:“users”,“_type”:“_doc”,“_id”:“8”,“_score”:1.0,“_source”:{“id”:8,“name”:“33333”,“birthday”:“2023-08-30 17:12:08”,“ts”:“2023-08-30 17:12:11”}}]}}

如上所以es中新增了两条数据；
经测试远程发布Flink Task完成。

写在最后

大数据Flink CDC同步Mysql数据到ElasticSearch搭建与测试运行较为简单，对于基础的学习测试环境独立集群目前只支持单个任务部署，如果需要多个任务或者运用于生产可以采用Yarn与Job分离模式进行部署。文章来源地址https://www.toymoban.com/news/detail-698983.html

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