适用于大型电子表格的Apache POI Java Excel性能

Jef*_*rey 11 java excel performance apache-poi

我有一个电子表格,我试图用POI读取(我有xls和xlsx格式),但在这种情况下,问题在于xls文件.我的电子表格大约有10,000行和75列,读取它可能需要几分钟(尽管Excel会在几秒钟内打开).我正在使用基于事件的阅读,而不是将整个文件读入内存.我的代码的内容如下.它现在有点乱,但它实际上只是一个很长的转换语句,主要是从POI示例复制而来.

使用事件模型的POI性能是否通常如此之慢?我有什么办法可以加快速度吗?我认为我的申请几分钟是不可接受的.

    POIFSFileSystem poifs = new POIFSFileSystem(fis);
    InputStream din = poifs.createDocumentInputStream("Workbook");
    try
    {
        HSSFRequest req = new HSSFRequest();
        listener = new FormatTrackingHSSFListener(new HSSFListener() {
            @Override
            public void processRecord(Record rec)
            {
                thisString = null;
                int sid = rec.getSid();
                switch (sid)
                {
                    case SSTRecord.sid:
                        strTable = (SSTRecord) rec;
                        break;
                    case LabelSSTRecord.sid:
                        LabelSSTRecord labelSstRec = (LabelSSTRecord) rec;
                        thisString = strTable.getString(labelSstRec
                                .getSSTIndex()).getString();
                        row = labelSstRec.getRow();
                        col = labelSstRec.getColumn();
                        break;
                    case RKRecord.sid:
                        RKRecord rrk = (RKRecord) rec;
                        thisString = "";
                        row = rrk.getRow();
                        col = rrk.getColumn();
                        break;
                    case LabelRecord.sid:
                        LabelRecord lrec = (LabelRecord) rec;
                        thisString = lrec.getValue();
                        row = lrec.getRow();
                        col = lrec.getColumn();
                        break;
                    case BlankRecord.sid:
                        BlankRecord blrec = (BlankRecord) rec;
                        thisString = "";
                        row = blrec.getRow();
                        col = blrec.getColumn();
                        break;
                    case BoolErrRecord.sid:
                        BoolErrRecord berec = (BoolErrRecord) rec;
                        row = berec.getRow();
                        col = berec.getColumn();
                        byte errVal = berec.getErrorValue();
                        thisString = errVal == 0 ? Boolean.toString(berec
                                .getBooleanValue()) : ErrorConstants
                                .getText(errVal);
                        break;
                    case FormulaRecord.sid:
                        FormulaRecord frec = (FormulaRecord) rec;
                        switch (frec.getCachedResultType())
                        {
                            case Cell.CELL_TYPE_NUMERIC:
                                double num = frec.getValue();
                                if (Double.isNaN(num))
                                {
                                    // Formula result is a string
                                    // This is stored in the next record
                                    outputNextStringRecord = true;
                                }
                                else
                                {
                                    thisString = formatNumericValue(frec, num);
                                }
                                break;
                            case Cell.CELL_TYPE_BOOLEAN:
                                thisString = Boolean.toString(frec
                                        .getCachedBooleanValue());
                                break;
                            case Cell.CELL_TYPE_ERROR:
                                thisString = HSSFErrorConstants
                                        .getText(frec.getCachedErrorValue());
                                break;
                            case Cell.CELL_TYPE_STRING:
                                outputNextStringRecord = true;
                                break;
                        }
                        row = frec.getRow();
                        col = frec.getColumn();
                        break;
                    case StringRecord.sid:
                        if (outputNextStringRecord)
                        {
                            // String for formula
                            StringRecord srec = (StringRecord) rec;
                            thisString = srec.getString();
                            outputNextStringRecord = false;
                        }
                        break;
                    case NumberRecord.sid:
                        NumberRecord numRec = (NumberRecord) rec;
                        row = numRec.getRow();
                        col = numRec.getColumn();
                        thisString = formatNumericValue(numRec, numRec
                                .getValue());
                        break;
                    case NoteRecord.sid:
                        NoteRecord noteRec = (NoteRecord) rec;
                        row = noteRec.getRow();
                        col = noteRec.getColumn();
                        thisString = "";
                        break;
                    case EOFRecord.sid:
                        inSheet = false;
                }
                if (thisString != null)
                {
                    // do something with the cell value 
                }
            }
        });
        req.addListenerForAllRecords(listener);
        HSSFEventFactory factory = new HSSFEventFactory();
        factory.processEvents(req, din);
Run Code Online (Sandbox Code Playgroud)

小智 14

如果您使用Apache POI生成大型Excel文件,请注意以下行:

sheet.autoSizeColumn((short) p);

因为这会降低性能.

  • _How_会影响性能吗?它会有所帮助还是会阻碍它? (4认同)
  • 这真的帮助了我,我运行了一个简单的 3000 行输出,需要 10 分钟到 2 秒(字面意思)。当您的代码在写出时变慢时,您会注意到这个问题。谢谢@sams (3认同)

lud*_*igm 7

我还对数千个大型excel文件进​​行了一些处理,在我看来,POI非常快.加载excel文件在Excel本身也花了大约1分钟.所以我会确认问题出在POI代码之外