Spring Batch : One Reader, composite processor (two classes with different entities) and two kafkaItemWriter

不打扰是莪最后的温柔 提交于 2021-02-11 14:51:38

问题


ItemReader is reading data from DB2 and gave java object ClaimDto. Now the ClaimProcessor takes in the object of ClaimDto and return CompositeClaimRecord object which comprises of claimRecord1 and claimRecord2 which to be sent to two different Kafka topics. How to write claimRecord1 and claimRecord2 to topic1 and topic2 respectively.


回答1:


Just write a custom ItemWriter that does exactly that.

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));

    }
  }
}

Or instead of writing 1 record at a time convert the single list into 2 lists and pass that along. But error handling might be a bit of a challenge that way. \

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);


  }
}



回答2:


You can use a ClassifierCompositeItemWriter with two KafkaItemWriters as delegates (one for each topic).

The Classifier would classify items according to their type (claimRecord1 or claimRecord2) and route them to the corresponding kafka item writer (topic1 or topic2).



来源:https://stackoverflow.com/questions/65286139/spring-batch-one-reader-composite-processor-two-classes-with-different-entit

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