Question

我正在使用OpenCSV库解析CSV文件。我设法跳过第一个所需的行，只选择想要的列并将其打印到控制台现在我正在努力将其插入到MSSQL数据库中这是我解析文件的代码：

JFileChooser fileopen = new JFileChooser();
    FileFilter filter = new FileNameExtensionFilter(
            "CSV file", "csv");
    fileopen.setFileFilter(filter);

    int ret = fileopen.showDialog(null, "Choose file");
    if (ret == JFileChooser.APPROVE_OPTION) {
        CsvParserSettings settings = new CsvParserSettings();

        settings.detectFormatAutomatically();
        settings.setHeaderExtractionEnabled(true);
        settings.selectIndexes(7, 8, 13, 14);
        settings.setNumberOfRowsToSkip(9);

        List<String[]> rows = new CsvParser(settings).parseAll((fileopen.getSelectedFile()), "UTF-8");
        rows.forEach(arr -> System.out.println(Arrays.toString(arr)));

现在代码

INSERT INTO dbo.Glass(Nr_Temp) values(Arrays.toString(rows.get(1)));

让我整行而不是列（这是可以理解的:)）但是有没有其他解决方案来返回列值以将它们插入SQL数据库？

Answer 1

已更新

您需要遍历String[]以访问列的每个单独值。

PreparedStatement ps = connection.prepareStatement("INSERT INTO dbo.Szyby_temp(nr_zlec_klienta, nr_ref_klienta, szerokosc, wysokosc, ilosc, opis_dodatkowy, data_importu) VALUES(?, ?, ?, ?, ?, ?, getdate())");
int maxBatchSize = 100; //Using batching for performance
int currentBatchSize = 0; 
for (String[] row : rows) {
    int i = 1;
    for (String columnValue : row) {           
        ps.setString(i++, columnValue); //Parameter indexes start with 1
    }
    ps.addBatch();
    if (++currentBatchSize % maxbatchSize == 0) {
      ps.executeUpdate();
    }
}
ps.executeUpdate(); //if number of rows in csv file is not divisible by maxbatchSize

Answer 2

感谢Ivan，我删除了最佳化，因为文件很小（每个少于100行）并且也已更改

ps.executeupdate() to `ps.executeBatch()

因为它只上传了最后一行，现在它工作得很完美，谢谢你的时间。这是我更改的代码

try {

            PreparedStatement ps = conn.prepareStatement("INSERT INTO dbo.Szyby_temp(nr_zlec_klienta, nr_ref_klienta, szerokosc, wysokosc, ilosc, opis_dodatkowy, data_importu) VALUES(?, ?, ?, ?, ?, ?, getdate())");
            for (String[] row : rows) {
                int i = 0;
                for (String columnValue : row) {    
                    ps.setString(++i, columnValue); //Parameter indexes start with 1
                }
                ps.addBatch();
            }
            ps.executeBatch(); //if number of rows in csv file is not divisible by maxbatchSize
        } catch (Exception e) {
            JOptionPane.showMessageDialog(null, e, "ERROR", JOptionPane.ERROR_MESSAGE);

        }

将解析CSV文件插入SQL Server

2 个答案: