分析多行固定宽度文件

你看过jrecordbind吗?

http://jrecordbind.org/

“jrecordbind支持分层固定长度文件:某些类型的记录是其他记录类型的子记录。”

检查 Preon . 虽然preon的目标是位流压缩数据,但您可能能够扭转它的手臂,并将其用于标识的文件格式。使用preon的好处是它也可以生成人类可读的文档。

用 uniVocity-parsers

//1st, use a RowProcessor for the "detail" rows.
ObjectRowListProcessor detailProcessor = new ObjectRowListProcessor();

//2nd, create MasterDetailProcessor to identify whether or not a row is the master row.
// the row placement argument indicates whether the master detail row occurs before or after a sequence of "detail" rows.
MasterDetailListProcessor masterRowProcessor = new MasterDetailListProcessor(RowPlacement.TOP, detailProcessor) {
    @Override
    protected boolean isMasterRecord(String[] row, ParsingContext context) {
        //Returns true if the parsed row is the master row.
        return row[0].startsWith("B");
    }
};

FixedWidthParserSettings parserSettings = new FixedWidthParserSettings(new FixedWidthFieldLengths(4, 5, 40, 40, 8));

// Set the RowProcessor to the masterRowProcessor.
parserSettings.setRowProcessor(masterRowProcessor);

FixedWidthParser parser = new FixedWidthParser(parserSettings);
parser.parse(new FileReader(yourFile));

// Here we get the MasterDetailRecord elements.
List<MasterDetailRecord> rows = masterRowProcessor.getRecords();
for(MasterDetailRecord masterRecord = rows){
 // The master record has one master row and multiple detail rows.
    Object[] masterRow = masterRecord.getMasterRow();
    List<Object[]> detailRows = masterRecord.getDetailRows();
}