实时计算 Flink版产品使用问题之作业在全量导入后结束，是什么原因

import com.alibaba.ververica.cdc.connectors.mysql.MySQLSource;
import com.alibaba.ververica.cdc.connectors.mysql.table.StartupOptions;
import com.alibaba.ververica.cdc.debezium.JsonDebeziumDeserializationSchema;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.source.SourceFunction;
import java.util.Properties;
public class FlinkCdcExceptionHandling {
    public static void main(String[] args) throws Exception {
        // 创建执行环境
        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        // 定义 MySQL CDC 数据源
        MySQLSource<String> mySQLSource = MySQLSource.<String>builder()
                .hostname("yourHostname")
                .port(3306)
                .databaseList("yourDatabase")
                .tableList("yourDatabase.yourTable")
                .username("yourUsername")
                .password("yourPassword")
                .deserializer(new JsonDebeziumDeserializationSchema())
                .startupOptions(StartupOptions.initial())
                .build();
        try {
            // 创建数据流
            SourceFunction<String> sourceFunction = mySQLSource.getSourceFunction();
            DataStreamSource<String> cdcStream = env.addSource(sourceFunction);
            // 添加异常处理逻辑
            cdcStream.process(new ExceptionHandlingProcessFunction());
            // 执行作业
            env.execute("Flink CDC Exception Handling");
        } catch (Exception e) {
            // 记录日志
            System.err.println("Error occurred in Flink CDC job: " + e.getMessage());
            e.printStackTrace();
            // 抛出异常
            throw e;
        }
    }
    public static class ExceptionHandlingProcessFunction extends ProcessFunction<String, String> {
        @Override
        public void processElement(String value, Context ctx, Collector<String> out) throws Exception {
            try {
                // 处理数据
                String processedValue = processData(value);
                out.collect(processedValue);
            } catch (Exception e) {
                // 记录日志
                System.err.println("Error processing data: " + e.getMessage());
                e.printStackTrace();
                // 抛出异常
                throw new Exception("Error processing data", e);
            }
        }
        private String processData(String data) {
            // 模拟数据处理逻辑
            // 这里可以添加实际的数据处理逻辑
            return "Processed: " + data;
        }
    }
}