开箱即用：还没有，您必须从头开始使用数据流，或者创建您自己的自定义输出格式。
不过，有计划要统一这个国家 DataSet 以及 DataStream ApacheFlink项目中的API在flink 2.0中的长期应用：https://flink.apache.org/roadmap.html

您可以创建自己的输出格式，并使用Kafka生产者生产Kafka。检查下面的代码。

...
data.output(new KafkaOPFormat());
env.execute();

import java.io.IOException;
import java.util.Properties;
import org.apache.flink.api.common.io.RichOutputFormat;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.configuration.Configuration;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;

public class KafkaOPFormat extends RichOutputFormat<Tuple2<String, String>> {

  private final Properties properties = new Properties();
  private KafkaProducer<String, String> producer;

  @Override
  public void configure(Configuration configuration) {
    properties.put("bootstrap.servers", "localhost:9092");
    properties.put("acks", "all");
    properties.put("retries", 0);
    properties.put("batch.size", 16384);
    properties.put("linger.ms", 1);
    properties.put("buffer.memory", 33554432);
    properties.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
    properties.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
  }

  @Override
  public void open(int i, int i1) throws IOException {
    producer = new KafkaProducer<String, String>(properties);
  }

  @Override
  public void writeRecord(Tuple2<String, String> record) throws IOException {
    producer.send(new ProducerRecord<>(record.f0, record.f1));
  }

  @Override
  public void close() throws IOException {
    producer.close();
  }
}

ps：我不记得所有的配置，请检查您的配置并相应地更改。