Java CSVReader以双引号忽略逗号

Kal*_*ebD 10 java csv delimiter opencsv

我有一个CSV文件,我在解析时遇到问题.我正在使用opencsv库.这是我的数据看起来和我想要实现的目标.

RPT_PE,CLASS,RPT_MKT,PROV_CTRCT,CENTER_NM,GK_TY,MBR_NM,MBR_PID"20150801","NULL","33612","00083249P PCP602","JOE SMITH ARNP","NULL","FRANK,LUCAS E"," 50004655200"

我遇到的问题是成员名称("FRANK, LUCAS E")被分成两列,成员名称应该是一个.我再次使用opencsv和逗号作为分隔符.有什么方法可以忽略双引号内的逗号吗?

        public void loadCSV(String csvFile, String tableName,
            boolean truncateBeforeLoad) throws Exception {

        CSVReader csvReader = null;
        if (null == this.connection) {
            throw new Exception("Not a valid connection.");
        }
        try {

            csvReader = new CSVReader(new FileReader(csvFile), this.seprator);

        } catch (Exception e) {
            e.printStackTrace();
            throw new Exception("Error occured while executing file. "
                    + e.getMessage());
        }
        String[] headerRow = csvReader.readNext();

        if (null == headerRow) {
            throw new FileNotFoundException(
                    "No columns defined in given CSV file."
                    + "Please check the CSV file format.");
        }

        String questionmarks = StringUtils.repeat("?,", headerRow.length);
        questionmarks = (String) questionmarks.subSequence(0, questionmarks
                .length() - 1);

        String query = SQL_INSERT.replaceFirst(TABLE_REGEX, tableName);
        System.out.println("Base Query: " + query);
        String headerRowMod = Arrays.toString(headerRow).replaceAll(", ]", "]");
        String[] strArray = headerRowMod.split(",");

        query = query
                .replaceFirst(KEYS_REGEX, StringUtils.join(strArray, ","));

        System.out.println("Add Headers: " + query);
        query = query.replaceFirst(VALUES_REGEX, questionmarks);
        System.out.println("Add questionmarks: " + query);

        String[] nextLine;
        Connection con = null;
        PreparedStatement ps = null;
        try {
            con = this.connection;
            con.setAutoCommit(false);
            ps = con.prepareStatement(query);

            if (truncateBeforeLoad) {
                //delete data from table before loading csv
                con.createStatement().execute("DELETE FROM " + tableName);
            }

            final int batchSize = 1000;
            int count = 0;
            Date date = null;
            while ((nextLine = csvReader.readNext()) != null) {
                System.out.println("Next Line: " + Arrays.toString(nextLine));
                if (null != nextLine) {
                    int index = 1;
                    for (String string : nextLine) {
                        date = DateUtil.convertToDate(string);
                        if (null != date) {
                            ps.setDate(index++, new java.sql.Date(date
                                    .getTime()));
                        } else {
                            ps.setString(index++, string);
                        }
                    }
                    ps.addBatch();
                }
                if (++count % batchSize == 0) {
                    ps.executeBatch();
                }
            }
            ps.executeBatch(); // insert remaining records
            con.commit();
        } catch (SQLException | IOException e) {
            con.rollback();
            e.printStackTrace();
            throw new Exception(
                    "Error occured while loading data from file to database."
                    + e.getMessage());
        } finally {
            if (null != ps) {
                ps.close();
            }
            if (null != con) {
                con.close();
            }
            csvReader.close();
        }
    }

    public char getSeprator() {
        return seprator;
    }

    public void setSeprator(char seprator) {
        this.seprator = seprator;
    }

    public char getQuoteChar() {
        return quoteChar;
    }

    public void setQuoteChar(char quoteChar) {
        this.quoteChar = quoteChar;
    }
}
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Ank*_*kit 0

根据文档,您可以在构造函数中提供自定义分隔符和引号字符,该构造函数应该处理它:

CSVReader(Reader reader, char separator, char quotechar)
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使用 , 作为分隔符和 " 作为引号字符构建您的阅读器。