只是写一个习惯 ItemWriter 确实如此。

public class YourItemWriter implements ItemWriter<CompositeClaimRecord>` {

  private final ItemWriter<Record1> writer1;
  private final ItemWriter<Record2> writer2;

  public YourItemWriter(ItemWriter<Record1> writer1, ItemWriter<Record2> writer2>) {
    this.writer1=writer1;
    this.writer2=writer2;
}

  public void write(List<CompositeClaimRecord> items) throws Exception {

    for (CompositeClaimRecord record : items) {
       writer1.write(Collections.singletonList(record.claimRecord1));
       writer2.write(Collections.singletonList(record.claimRecord2));

    }
  }
}

或者不是一次写一条记录，而是将一个列表转换成两个列表并传递给另一个列表。但这样的话，错误处理可能有点困难\

public class YourItemWriter implements ItemWriter<CompositeClaimRecord>` {

  private final ItemWriter<Record1> writer1;
  private final ItemWriter<Record2> writer2;

  public YourItemWriter(ItemWriter<Record1> writer1, ItemWriter<Record2> writer2>) {
    this.writer1=writer1;
    this.writer2=writer2;
}

  public void write(List<CompositeClaimRecord> items) throws Exception {

    List<ClaimRecord1> record1List = items.stream().map(it -> it.claimRecord1).collect(Collectors.toList());
    List<ClaimRecord2> record2List = items.stream().map(it -> it.claimRecord2).collect(Collectors.toList());

    writer1.write(record1List);
    writer2.write(record2List);

  }
}

可以将classifiercompositeitemwriter与两个 KafkaItemWriter s作为代表（每个主题一个）。
这个 Classifier 会根据它们的类型来分类( claimRecord1 或者 claimRecord2 )并将它们传送给相应的Kafka条目编写器( topic1 或者 topic2 ).