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· 4 min read
jeesk

Flink框架：Flink整合springboot​

首先说一下， 为什么flink 需要集成flink， spring boot给我们带来了更好的框架整合， 同时使用spring的DI和IOC，能更好的使用bean，当然直接使用spring 整合也是一样。后来我们使用了google guice 来整合。

1. 实现原理​

实现原理， spring 的启动 一般使用 AnnotationConfigApplicationContext ac = new AnnotationConfigApplicationContext(AppConfig.class); 即可启动spring 容器， 对么spring boot 呢， 看过源码的人或许知道

SpringApplication.run(arge); 只需要在启动flink之前启动sping boot 即可。

2. 代码实战​

flink 整合spring boot 以及redission, 并将事件的id放入redis 中， 代码库 https://gitee.com/imomoda/flink-sprint-boot

1. spring boot 启动工具类​
@SpringBootApplication(scanBasePackages = {"io.github.jeesk.flink"})
@Import(SpringUtil.class)
@Slf4j
@EnableConfigurationProperties({RedissonProperties.class, RedisProperties.class})
public class SpringBootApplicationUtil {


    static SpringApplication springBootApplication = null;
    static SpringApplicationBuilder springApplicationBuilder = null;

    public static synchronized void run(String[] arge) {
        if (springBootApplication == null) {
            StandardEnvironment standardEnvironment = new StandardEnvironment();
            MutablePropertySources propertySources = standardEnvironment.getPropertySources();
            propertySources.addFirst(new SimpleCommandLinePropertySource(arge));
            String startJarPath = SpringBootApplicationUtil.class.getResource("/").getPath().split("!")[0];
            String[] activeProfiles = standardEnvironment.getActiveProfiles();
            propertySources.addLast(new MapPropertySource("systemProperties", standardEnvironment.getSystemProperties()));
            propertySources.addLast(new SystemEnvironmentPropertySource("systemEnvironment", standardEnvironment.getSystemEnvironment()));
            if (springBootApplication == null) {
                springApplicationBuilder = new SpringApplicationBuilder(SpringBootApplicationUtil.class);
                // 这里可以通过命令行传入
                springApplicationBuilder.profiles("dev");
                springApplicationBuilder.sources(SpringBootApplicationUtil.class).web(WebApplicationType.NONE);
            }
            springBootApplication = springApplicationBuilder.build();
            springBootApplication.run(arge);
        }
    }


}
package io.github.jeesk.flink;

import cn.hutool.extra.spring.SpringUtil;
import io.github.jeesk.flink.config.SpringBootApplicationUtil;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.KeyedProcessFunction;
import org.apache.flink.util.Collector;
import org.apache.flink.walkthrough.common.entity.Alert;
import org.apache.flink.walkthrough.common.entity.Transaction;
import org.apache.flink.walkthrough.common.sink.AlertSink;
import org.apache.flink.walkthrough.common.source.TransactionSource;
import org.springframework.data.redis.core.StringRedisTemplate;

public class FraudDetectionJob {
    public static void main(String[] args) throws Exception {

        Configuration configuration = new Configuration();
        if (args != null) {
            configuration.setString("args", String.join(" ", args));
        }
        SpringBootApplicationUtil.run(args);

        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        DataStream<Transaction> transactions = env
                .addSource(new TransactionSource())
                .name("transactions");

        DataStream<Alert> alerts = transactions
                .keyBy(Transaction::getAccountId)
                .process(new FraudDetector())
                .name("fraud-detector");

        alerts
                .addSink(new AlertSink())
                .name("send-alerts");

        env.execute("Fraud Detection");
    }

    static public class FraudDetector extends KeyedProcessFunction<Long, Transaction, Alert> {

        private StringRedisTemplate redisTemplate = null;

        @Override
        public void open(Configuration parameters) throws Exception {
            // 初始化bean
            super.open(parameters);
            SpringBootApplicationUtil.run(parameters.getString("arge", "").split(" "));
            redisTemplate = SpringUtil.getBean(StringRedisTemplate.class);

        }

        @Override
        public void processElement(
                Transaction transaction,
                Context context,
                Collector<Alert> collector) throws Exception {

            Alert alert = new Alert();
            alert.setId(transaction.getAccountId());
            // 将id 放入redis 中
            redisTemplate.opsForSet().add("tmpKey", String.valueOf(alert.getId()));
            collector.collect(alert);
        }
    }
}

3. flink 使用logback 还是log4j, 本demo 使用的是Logback , 需要做以下的处理​
  1. 服务器端处理: flink 的安装目录下面放入logback 的包，log4j-over-slf4j-1.7.15.jar,logback-classic-1.2.3.jar,logback-core-1.2.3.jar ,
  2. 然后删除lib下面关于log4j的包 log4j-1.2.17.jar及slf4j-log4j12-1.7.15.jar), 如果不懂这些包的作用可以仔细阅读: JAVA 常见日志依赖处理细节 ，
  3. 在代码的pom文件里面排除log4j的包
```
    <dependency>
        <groupId>org.apache.flink</groupId>
        <artifactId>flink-java</artifactId>
        <version>1.13.1</version>
        <!--排除log4j-->
        <exclusions>
            <exclusion>
                <groupId>log4j</groupId>
                <artifactId>*</artifactId>
            </exclusion>
            <exclusion>
                <groupId>org.slf4j</groupId>
                <artifactId>slf4j-log4j12</artifactId>
            </exclusion>
        </exclusions>
        <scope>provided</scope>
        </dependency>
<dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-java_2.12</artifactId>
            <version>1.13.1</version>
            <!--排除log4j-->
            <exclusions>
                <exclusion>
                    <groupId>log4j</groupId>
                    <artifactId>*</artifactId>
                </exclusion>
                <exclusion>
                    <groupId>org.slf4j</groupId>
                    <artifactId>slf4j-log4j12</artifactId>
                </exclusion>
            </exclusions>
           <scope>provided</scope>
 </dependency>
  1. 如果想修改flink 的logback的日志文件 ， 可以在flink的conf目录下面修改下面的三个文件
logback-console.xml
logback-session.xml
logback.xml

3.参考内容​