对于Flink CDC,谁有java 开发的基础代码?

对于Flink CDC,谁有java 开发的基础代码?

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wenti 2023-01-29 17:53:54 304 分享 版权
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  • import com.ververica.cdc.debezium.DebeziumDeserializationSchema;
    import com.ververica.cdc.debezium.DebeziumSourceFunction;
    import io.debezium.data.Envelope;
    import org.apache.flink.api.common.serialization.SimpleStringSchema;
    import org.apache.flink.streaming.api.datastream.DataStream;
    import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
    import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
    import org.apache.flink.streaming.connectors.kafka.KafkaSerializationSchema;
    import org.apache.kafka.clients.consumer.ConsumerConfig;

    import java.util.Properties;

    public class FlinkCDCExample {

    public static void main(String[] args) throws Exception {
    
        // Create the execution environment
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    
        // Set up the Kafka consumer properties
        Properties consumerProperties = new Properties();
        consumerProperties.setProperty(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
        consumerProperties.setProperty(ConsumerConfig.GROUP_ID_CONFIG, "flink-cdc-example");
    
        // Create the Debezium source function
        DebeziumSourceFunction<Envelope> sourceFunction = DebeziumSourceFunction.builder()
                .hostname("localhost")
                .port(8083)
                .username("debezium")
                .password("dbz-secret")
                .database("inventory")
                .tableList("products")
                .deserializationSchema(new DebeziumDeserializationSchema())
                .build();
    
        // Create the Kafka consumer
        FlinkKafkaConsumer<Envelope> consumer = new FlinkKafkaConsumer<>("inventory-changes", new SimpleStringSchema(), consumerProperties);
    
        // Add the Debezium source function to the execution environment
        DataStream<Envelope> debeziumSource = env.addSource(sourceFunction);
    
        // Add the Kafka consumer to the execution environment
        DataStream<String> kafkaSource = env.addSource(consumer);
    
        // Print the Debezium source data to the console
        debeziumSource.print();
    
        // Print the Kafka source data to the console
        kafkaSource.print();
    
        // Execute the streaming job
        env.execute("Flink CDC Example");
    }
    

    }

    2024-02-23 15:14:38
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收录在圈子:
实时计算 Flink 版(Alibaba Cloud Realtime Compute for Apache Flink,Powered by Ververica)是阿里云基于 Apache Flink 构建的企业级、高性能实时大数据处理系统,由 Apache Flink 创始团队官方出品,拥有全球统一商业化品牌,完全兼容开源 Flink API,提供丰富的企业级增值功能。
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