Read and Write Skip Behaviou

[amique]

I have a job that reads a flat file of 11 records. I skip 1 item in reader and 4 in writers. I have one Skiplistener with SkipInRead() and SkipInWrite() method which simple logs the skip message in DB. Why my onSkipInRead is being called multiple times i.e. 3 times in this case which in result logs same message in DB 3 times. OnSkipinWrite works fine

<job id="ex_Job">
		<step id="load">
			<tasklet>
				<chunk reader="reader" writer="writer" commit-interval="3" skip-limit="10">
					<skippable-exception-classes>
						<include class="org.springframework.batch.item.file.FlatFileParseException" />
						<include class="org.springframework.batch.item.file.transform.IncorrectLineLengthException" />
						<include class="org.springframework.dao.DataIntegrityViolationException"/>
					</skippable-exception-classes>
				</chunk>
				<listeners>
					<listener ref="genericSkipListener" />
				</listeners>
			</tasklet>
		</step>
	</job>
	
	
	
	public class GenericSkipListener extends AbstractBaseSkipListener implements
        SkipListener<FieldSet, FieldSet> {

    private static final Log LOGGER = LogFactory.getLog(GenericSkipListener.class);

    @Autowired
    private SkipedItemsDao skipedItemsDao;


    @Override
    public void onSkipInRead(final Throwable t) {
        LOGGER.warn("[" + getJobName() + "] onSkipInRead:" + t);
        skipedItemsDao.saveReadSkippedItem(createReadSkipedItem("READ", "", t));
    }

    @Override
    public void onSkipInWrite(final FieldSet item, final Throwable t) {
        LOGGER.warn("[" + getJobName() + "] onSkipWrite:" + t);
        skipedItemsDao.save(createSkipedItem("WRITE", item.toString(), t));
    }

    @Override
    public void onSkipInProcess(final FieldSet item, final Throwable t) {
        LOGGER.warn("[" + getJobName() + "] onSkipInProcess:" + t);
        skipedItemsDao.save(createSkipedItem("PROCESS", item.toString(), t));
    }
	}

My onSkipInRead() method is being call multiple times for the same item. Any idea guys ?

[amique]

Any idea guys