请给出一个 samza 转换为 flink 的程序示例

以下是一个示例将 Samza 转换为 Flink 的程序：

import org.apache.flink.api.common.functions.MapFunction;
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.FlinkKafkaProducer;
import org.apache.samza.serializers.StringSerdeFactory;
import org.apache.samza.system.kafka.descriptors.KafkaSystemDescriptor;

public class SamzaToFlinkExample {
    public static void main(String[] args) throws Exception {
        // 设置 Samza Kafka SystemDescriptor
        KafkaSystemDescriptor kafkaSystemDescriptor = new KafkaSystemDescriptor("kafka");

        // 设置 Samza 输入和输出流描述符
        org.apache.samza.system.kafka.descriptors.KafkaInputDescriptor<String> samzaInputDescriptor =
                kafkaSystemDescriptor.getInputDescriptor("samza-input-stream", new StringSerdeFactory());
        org.apache.samza.system.kafka.descriptors.KafkaOutputDescriptor<String> samzaOutputDescriptor =
                kafkaSystemDescriptor.getOutputDescriptor("samza-output-stream", new StringSerdeFactory());

        // 创建 Samza 输入流和输出流
        org.apache.samza.operators.MessageStream<String> samzaInputStream =
                new org.apache.samza.operators.MessageStreamImpl<>(samzaInputDescriptor);
        org.apache.samza.operators.OutputStream<String> samzaOutputStream =
                new org.apache.samza.operators.OutputStreamImpl<>(samzaOutputDescriptor);

        // 创建 Flink 环境和输入流
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        FlinkKafkaConsumer<String> flinkKafkaConsumer = new FlinkKafkaConsumer<>("samza-input-stream",
                new SimpleStringSchema(), new Properties());
        DataStream<String> flinkInputStream = env.addSource(flinkKafkaConsumer);

        // 执行 Samza 转换逻辑，将输入流转换为输出流
        flinkInputStream.map(new MapFunction<String, String>() {
            @Override
            public String map(String value) throws Exception {
                // 执行 Samza 转换逻辑
                // ...

                return value;
            }
        }).addSink(new FlinkKafkaProducer<>("samza-output-stream", new SimpleStringSchema(), new Properties()));

        // 执行 Flink 程序
        env.execute("Samza to Flink Example");
    }
}

这个示例代码展示了如何使用 Flink Kafka 连接器将 Samza 的输入流转换为 Flink 的输入流，然后在 Flink 中执行自定义的转换逻辑，并将结果输出到 Flink Kafka 连接器中。请注意，示例中的 Samza 转换逻辑需要根据具体的业务需求进行实现。