Spring批处理FlatfileitemReader来读取格式错误的行

Question

在我的项目中，我使用Spring批处理并使用FlatFileItemReader / FieldSetMapper读取文件。某些输入文件存在问题。对于少数记录，行被剪切/格式化。 假设输入文件有4列。几列没有正确形成。任何人都可以帮忙解决这个问题吗？（如果需要我可以解释更多） FILE.CSV

"id","name","age","salary"
"1","user1","28","1000"
"2","user2","27","2000"
"3","user3","26
    ","3000"
"4","user4","25","
    4000"
"5","
        user5","24","5000"
"6","user6","23","6000"
"7","user7","22","7000"
"8","user8","21","8000"

Answer 1

使用FlatFileItemReader读取格式错误的行时，我遇到了类似的问题。在这种情况下，您可以在FlatFileItemReader中将DefaultRecordSeparatorPolicy用作RecordSeparatorPolicy。它的作用是在读取一行后检查endOfRecord。如果读取行具有任何未注释的引号，则它会读取另一行以规范化输入。您也可以覆盖该行为。

flatFileItemReader.setRecordSeparatorPolicy(new DefaultRecordSeparatorPolicy());

有关更多信息，请参阅DefaultRecordSeparatorPolicy API Doc

@Bean
public FlatFileItemReader<YourClassName> itemReader(@Value("${input}") Resource resource) {
    FlatFileItemReader<YourClassName> flatFileItemReader = new FlatFileItemReader<>();
    flatFileItemReader.setResource(resource);
    flatFileItemReader.setName("CSV-Reader");
    flatFileItemReader.setLinesToSkip(1);
    // override default comment '#' from file parsing
    flatFileItemReader.setComments(new String[] {});
    // checks for multi-line csv inputs for very lage row
    flatFileItemReader.setRecordSeparatorPolicy(new DefaultRecordSeparatorPolicy());
    flatFileItemReader.setLineMapper(lineMapper());
    return flatFileItemReader;
}

@Bean
public LineMapper<YourClassName> lineMapper() {
    DelimitedLineTokenizer lineTokenizer = new DelimitedLineTokenizer();
    lineTokenizer.setDelimiter(DelimitedLineTokenizer.DELIMITER_COMMA);
    lineTokenizer.setQuoteCharacter(DelimitedLineTokenizer.DEFAULT_QUOTE_CHARACTER);
    lineTokenizer.setStrict(false);
    lineTokenizer.setNames(COLUMN_NAMES);

    BeanWrapperFieldSetMapper<YourClassName> fieldSetMapper = new BeanWrapperFieldSetMapper<>();
    fieldSetMapper.setTargetType(YourClassName.class);

    DefaultLineMapper<YourClassName> defaultLineMapper = new DefaultLineMapper<>();
    defaultLineMapper.setLineTokenizer(lineTokenizer);
    defaultLineMapper.setFieldSetMapper(fieldSetMapper);
    return defaultLineMapper;
}