flink sql自定义函数 多个参数调用http接口 并且实时调用

1. 使用通过flink sql 自动定义函数（udf）将实时接入的数据输出到 http 接口当中 。

2. 环境

flink	mysql	接口
flink 14.5	5.20	spring boot 接口

3. 环境

3.1 mysql 语句

CREATE TABLE `Flink_cdc` (
  `id` bigint(64) NOT NULL AUTO_INCREMENT,
  `name` varchar(64) DEFAULT NULL,
  `age` int(20) DEFAULT NULL,
  `birthday` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
  `ts` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=73 DEFAULT CHARSET=utf8mb4;

/*Data for the table `Flink_cdc` */

insert  into `Flink_cdc`(`id`,`name`,`age`,`birthday`,`ts`) values 
(69,'flink',21,'2022-12-09 22:57:15','2022-12-09 22:57:17'),
(70,'flink sql',22,'2022-12-09 23:01:43','2022-12-09 23:01:46'),
(71,'flk sql',23,'2022-12-09 23:43:04','2022-12-09 23:43:07'),
(72,'hbase',55,'2023-04-05 16:40:38','2023-04-05 16:40:40');

4.flink sql 自定义函数

4.1 实现自定义函数接口， 上传jar 包到flink lib 中 一定要重启flink 然后注册flink sql 的函数

4.2 自定义函数的实现

package com.wudl.flink.fun;

import com.alibaba.fastjson.JSON;
import com.wudl.flink.util.HttpClientUtils;
import org.apache.flink.table.functions.FunctionContext;
import org.apache.flink.table.functions.ScalarFunction;

import java.util.Map;

/**
 * @Author: wudl
 * @Description:
 * @ClassName: MyHttpFunction
 * @Date: 2023/4/5 12:41
 */
public class MyHttpFunction extends ScalarFunction {

    public String eval(Map<String, String> map) {
        String str = JSON.toJSONString(map);
        String s = HttpClientUtils.doPostJson("http://192.168.244.1:8081/tUser/savedta", str);
        return s;
    }


}

4.2.1 需要的工具类

package com.wudl.flink.util;

import com.alibaba.fastjson.JSON;
import com.wudl.flink.bean.User;
import org.apache.http.NameValuePair;
import org.apache.http.client.entity.UrlEncodedFormEntity;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.entity.StringEntity;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.message.BasicNameValuePair;
import org.apache.http.util.EntityUtils;

import java.io.IOException;
import java.net.URI;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;

/**
 * @Author: wudl
 * @Description:
 * @ClassName: HttpClientUtils
 * @Date: 2023/4/5 12:54
 */
public class HttpClientUtils {
    public static void main(String[] args) {

//        String s = HttpClientUtils.doGet("http://localhost:8081/tUser/get/getList");
//        System.out.println(s);
        User  u = new User();
        u.setId(12l);
        u.setName("flinksql");
        String s = JSON.toJSONString(u);
        System.out.println(s);
        String s1 = HttpClientUtils.doPostJson("http://192.168.1.109:8081/tUser/savedta", s);
        System.out.println(s1);
    }

    public static String doGet(String url) {
        return doGet(url, null);
    }
    public static String doGet(String url, Map<String, String> params) {
        // 创建Httpclient对象
        CloseableHttpClient httpclient = HttpClients.createDefault();
        String result = "";
        CloseableHttpResponse response = null;
        try {
            // 创建uri
            URIBuilder builder = new URIBuilder(url);
            if (params != null) {
                for (String key : params.keySet()) {
                    builder.addParameter(key, params.get(key));
                }
            }
            URI uri = builder.build();
            // 创建http GET请求
            HttpGet httpGet = new HttpGet(uri);
            // 执行请求
            response = httpclient.execute(httpGet);
            // 判断返回状态是否为200
            if (response.getStatusLine().getStatusCode() == 200) {
                result = EntityUtils.toString(response.getEntity(), "UTF-8");
            }
        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            try {
                if (response != null) {
                    response.close();
                }
                httpclient.close();
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
        return result;
    }
    public static String doPost(String url) {
        return doPost(url, null);
    }
    public static String doPost(String url, Map<String, String> params) {
        // 创建Httpclient对象
        CloseableHttpClient httpClient = HttpClients.createDefault();
        CloseableHttpResponse response = null;
        String result = "";
        try {
            // 创建Http Post请求
            HttpPost httpPost = new HttpPost(url);
            // 创建参数列表
            if (params != null) {
                List<NameValuePair> paramList = new ArrayList<>();
                for (String key : params.keySet()) {
                    paramList.add(new BasicNameValuePair(key, params.get(key)));
                }
                // 模拟表单
                UrlEncodedFormEntity entity = new UrlEncodedFormEntity(paramList,"utf-8");
                httpPost.setEntity(entity);
            }
            // 执行http请求
            response = httpClient.execute(httpPost);
            result = EntityUtils.toString(response.getEntity(), "utf-8");
        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            try {
                response.close();
            } catch (IOException e) {
                // TODO Auto-generated catch block
                e.printStackTrace();
            }
        }
        return result;
    }
    public static String doPostJson(String url, String json) {
        // 创建Httpclient对象
        CloseableHttpClient httpClient = HttpClients.createDefault();
        CloseableHttpResponse response = null;
        String result = "";
        try {
            // 创建Http Post请求
            HttpPost httpPost = new HttpPost(url);
            // 创建请求内容
            StringEntity entity = new StringEntity(json.toString(),"UTF-8");//解决中文乱码问题
            entity.setContentEncoding("UTF-8");
            entity.setContentType("application/json");
            httpPost.setEntity(entity);
            // 执行http请求
            response = httpClient.execute(httpPost);
            result = EntityUtils.toString(response.getEntity(), "utf-8");
        } catch (Exception e) {
            e.printStackTrace();
        } finally {
            try {
                response.close();
            } catch (IOException e) {
                // TODO Auto-generated catch block
                e.printStackTrace();
            }
        }
        return result;
    }
}

4.2.2 需要的maven 环境

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
        <groupId>com.wudl.flink</groupId>
        <artifactId>Flink-learning</artifactId>
        <version>1.0-SNAPSHOT</version>
    </parent>

    <artifactId>wudl-flink-14.5</artifactId>


    <!-- 指定仓库位置，依次为aliyun、apache和cloudera仓库 -->
    <repositories>
        <repository>
            <id>aliyun</id>
            <url>http://maven.aliyun.com/nexus/content/groups/public/</url>
        </repository>
        <repository>
            <id>apache</id>
            <url>https://repository.apache.org/content/repositories/snapshots/</url>
        </repository>
        <repository>
            <id>cloudera</id>
            <url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
        </repository>

        <repository>
            <id>spring-plugin</id>
            <url>https://repo.spring.io/plugins-release/</url>
        </repository>

    </repositories>

    <properties>
        <encoding>UTF-8</encoding>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <maven.compiler.source>1.8</maven.compiler.source>
        <maven.compiler.target>1.8</maven.compiler.target>
        <java.version>1.8</java.version>
        <scala.version>2.12</scala.version>
        <flink.version>1.14.5</flink.version>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-core</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>commons-httpclient</groupId>
            <artifactId>commons-httpclient</artifactId>
            <version>3.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.httpcomponents</groupId>
            <artifactId>httpclient</artifactId>
            <version>4.5.5</version>
        </dependency>


        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.83</version>
        </dependency>




        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-jdbc_2.12</artifactId>
            <version>1.10.3</version>
        </dependency>

        <!--依赖Scala语言-->


        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-clients_2.12</artifactId>
            <version>${flink.version}</version>
            <exclusions>
                <exclusion>
                    <artifactId>slf4j-api</artifactId>
                    <groupId>org.slf4j</groupId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-scala_2.12</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-java</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-scala_2.12</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-java_2.12</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-api-scala-bridge_2.12</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-api-java-bridge_2.12</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <!-- blink执行计划,1.11+默认的-->
<!--        <dependency>-->
<!--            <groupId>org.apache.flink</groupId>-->
<!--            <artifactId>flink-table-planner-blink_2.12</artifactId>-->
<!--            <version>${flink.version}</version>-->
<!--            <exclusions>-->
<!--                <exclusion>-->
<!--                    <artifactId>slf4j-api</artifactId>-->
<!--                    <groupId>org.slf4j</groupId>-->
<!--                </exclusion>-->
<!--            </exclusions>-->
<!--        </dependency>-->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-common</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-cep_2.12</artifactId>
            <version>${flink.version}</version>
        </dependency>

        <!-- flink连接器-->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-kafka_2.12</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-sql-connector-kafka_2.12</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-jdbc_2.12</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-csv</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-json</artifactId>
            <version>${flink.version}</version>
        </dependency>



        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-hive_2.12</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hive</groupId>
            <artifactId>hive-metastore</artifactId>
            <version>2.1.0</version>
            <exclusions>
                <exclusion>
                    <artifactId>hadoop-hdfs</artifactId>
                    <groupId>org.apache.hadoop</groupId>
                </exclusion>
                <exclusion>
                    <artifactId>slf4j-api</artifactId>
                    <groupId>org.slf4j</groupId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>org.apache.hive</groupId>
            <artifactId>hive-exec</artifactId>
            <version>2.1.0</version>
            <exclusions>
                <exclusion>
                    <artifactId>slf4j-api</artifactId>
                    <groupId>org.slf4j</groupId>
                </exclusion>
            </exclusions>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-shaded-hadoop-2-uber</artifactId>
            <version>2.7.5-10.0</version>
            <exclusions>
                <exclusion>
                    <artifactId>slf4j-log4j12</artifactId>
                    <groupId>org.slf4j</groupId>
                </exclusion>
            </exclusions>
        </dependency>

        <dependency>
            <groupId>org.apache.hbase</groupId>
            <artifactId>hbase-client</artifactId>
            <version>2.1.0</version>
            <exclusions>
                <exclusion>
                    <artifactId>slf4j-api</artifactId>
                    <groupId>org.slf4j</groupId>
                </exclusion>
                <exclusion>
                    <artifactId>slf4j-log4j12</artifactId>
                    <groupId>org.slf4j</groupId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>5.1.38</version>
            <!--<version>8.0.20</version>-->
        </dependency>

        <!-- 高性能异步组件：Vertx-->
        <dependency>
            <groupId>io.vertx</groupId>
            <artifactId>vertx-core</artifactId>
            <version>3.9.0</version>
        </dependency>
        <dependency>
            <groupId>io.vertx</groupId>
            <artifactId>vertx-jdbc-client</artifactId>
            <version>3.9.0</version>
        </dependency>
        <dependency>
            <groupId>io.vertx</groupId>
            <artifactId>vertx-redis-client</artifactId>
            <version>3.9.0</version>
        </dependency>

        <!-- 日志 -->
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-log4j12</artifactId>
            <version>1.7.7</version>
            <scope>runtime</scope>
        </dependency>
        <dependency>
            <groupId>log4j</groupId>
            <artifactId>log4j</artifactId>
            <version>1.2.17</version>
            <scope>runtime</scope>
        </dependency>


        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <version>1.18.2</version>
            <scope>provided</scope>
        </dependency>

        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-hdfs</artifactId>
            <version>3.1.3</version>
        </dependency>

        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-common</artifactId>
            <version>3.1.3</version>
            <exclusions>
                <exclusion>
                    <artifactId>slf4j-api</artifactId>
                    <groupId>org.slf4j</groupId>
                </exclusion>
                <exclusion>
                    <artifactId>slf4j-log4j12</artifactId>
                    <groupId>org.slf4j</groupId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-hbase_2.11</artifactId>
            <version>1.10.1</version>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-assembly-plugin</artifactId>
                <version>3.0.0</version>
                <configuration>
                    <descriptorRefs>
                        <descriptorRef>jar-with-dependencies</descriptorRef>
                    </descriptorRefs>
                </configuration>
                <executions>
                    <execution>
                        <id>make-assembly</id>
                        <phase>package</phase>
                        <goals>
                            <goal>single</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>

</project>

4.3 接口实现

@Api
@RestController
@RequestMapping("/tUser")
public class TUserController {

    @Autowired
    private TUserService tUserService;

    @PostMapping("/savedta")
    public  String saveData(@RequestBody TUser user)
    {
        System.out.println(user.toString());
        return user.toString();
    }

4.4需要注册自定义函数—在flink sql client 中实现

CREATE FUNCTION myhttp AS 'com.wudl.flink.fun.MyHttpFunction';

4.5 执行

 CREATE TABLE source_mysql (
  id BIGINT PRIMARY KEY NOT ENFORCED,
  name STRING,
  age INT,
  birthday TIMESTAMP(3),
  ts TIMESTAMP(3)
) WITH (
'connector' = 'mysql-cdc',
'hostname' = '192.168.1.180',
'port' = '3306',
'username' = 'root',
'password' = '密码',
'server-time-zone' = 'Asia/Shanghai',
'debezium.snapshot.mode' = 'initial',
'database-name' = 'test',
'table-name' = 'Flink_cdc'
);


CREATE TABLE output (
     t string
 ) WITH (
    'connector' = 'print'
 );


 insert into output  select myhttp(MAP['id',cast(id as string),'name',name])  from source_mysql;

6查看结果

这样就实时实现了 flink sql sql 实时调用接口函数了。