要进行"Alpakka Kafka与Kafka Streams对比"，您可以按照以下步骤进行解决：

1. 确保您已经安装了Kafka和Alpakka Kafka以及Kafka Streams。您可以从官方网站下载和安装它们。

2. 首先，让我们看一下使用Alpakka Kafka编写的一个简单的生产者示例：

import akka.actor.ActorSystem
import akka.kafka.ProducerSettings
import akka.kafka.scaladsl.Producer
import akka.stream.ActorMaterializer
import akka.stream.scaladsl.Source
import org.apache.kafka.clients.producer.ProducerRecord
import org.apache.kafka.common.serialization.StringSerializer

object AlpakkaKafkaProducerExample extends App {
  implicit val system = ActorSystem("AlpakkaKafkaProducerExample")
  implicit val materializer = ActorMaterializer()
  implicit val ec = system.dispatcher

  val bootstrapServers = "localhost:9092"
  val topic = "test-topic"

  val producerSettings = ProducerSettings(system, new StringSerializer, new StringSerializer)
    .withBootstrapServers(bootstrapServers)

  val source = Source(1 to 10).map(_.toString).map { elem =>
    new ProducerRecord[String, String](topic, elem)
  }

  val done = source.runWith(Producer.plainSink(producerSettings))

  done.onComplete(_ => system.terminate())
}

这是一个简单的生产者示例，它将1到10的数字作为消息发送到名为"test-topic"的Kafka主题。

3. 接下来，让我们看一下使用Alpakka Kafka编写的一个简单的消费者示例：

import akka.actor.ActorSystem
import akka.kafka.ConsumerSettings
import akka.kafka.scaladsl.Consumer
import akka.stream.ActorMaterializer
import akka.stream.scaladsl.Sink
import org.apache.kafka.clients.consumer.ConsumerRecord
import org.apache.kafka.common.serialization.StringDeserializer

object AlpakkaKafkaConsumerExample extends App {
  implicit val system = ActorSystem("AlpakkaKafkaConsumerExample")
  implicit val materializer = ActorMaterializer()
  implicit val ec = system.dispatcher

  val bootstrapServers = "localhost:9092"
  val topic = "test-topic"

  val consumerSettings = ConsumerSettings(system, new StringDeserializer, new StringDeserializer)
    .withBootstrapServers(bootstrapServers)
    .withGroupId("test-group")

  val done = Consumer.plainSource(consumerSettings, Subscriptions.topics(topic))
    .runWith(Sink.foreach { record: ConsumerRecord[String, String] =>
      println(s"Received message: ${record.value}")
    })

  done.onComplete(_ => system.terminate())
}

这是一个简单的消费者示例，它从名为"test-topic"的Kafka主题接收消息，并将其打印到控制台。

4. 现在，让我们看一下使用Kafka Streams编写的类似的生产者和消费者示例：

import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.streams.KafkaStreams;
import org.apache.kafka.streams.StreamsBuilder;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.kstream.KStream;

import java.util.Properties;

public class KafkaStreamsExample {
    public static void main(String[] args) {
        Properties props = new Properties();
        props.put(StreamsConfig.APPLICATION_ID_CONFIG, "kafka-streams-example");
        props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");

        StreamsBuilder builder = new StreamsBuilder();
        KStream source = builder.stream("test-topic");
        
        source.foreach((key, value) -> {
            System.out.println("Received message: " + value);
        });

        KafkaStreams streams = new KafkaStreams(builder.build(), props);
        streams.start();

        Runtime.getRuntime().addShutdownHook(new Thread(streams::close));
    }
}

这是一个使用Kafka Streams编写的简单消费者示例，它从名为"test-topic"的Kafka主题中接收消息，并将其打印到控制台。

这些示例提供了使用Alpakka Kafka和Kafka Streams编写生产者和消费者的基本方法。您可以根据自己的需求进行扩展和调整。