在 java 中使用 univocity 库进行 CSV 解析

CSV parsing with univocity library in java

我正在使用 univocity 解析 java 中的大型 (6 GB) CSV。 CSV enrty如下,可以解析CSV。知道如何生成如下输出:

CsvParserSettings settings = new CsvParserSettings();   
settings.getFormat().setLineSeparator("\n");

CsvParser parser = new CsvParser(settings);

File f = new File("test.csv");
parser.beginParsing(f, "UTF-8");


String[] row;

while ((row = parser.parseNext()) != null) {

       String val = Arrays.toString(row);

       val = val.replaceAll("\[", "");
       val = val.replaceAll("\]", "");
       val = val.replaceAll("\s", "");


       System.out.println(val);


} // end while

test.csv内容:

A,10,2,3

null,11,A1,null

null,30,A23,null

null,44,A34,null

null,16,A67,null

A,20,5,6

null,41,A100,null

null,60,A56,null

null,74,A34,null

null,86,A56,null

正在尝试获得如下输出:

A,[10;11;30;44;16],[2,A1,A23,A34,A67],3

A,[20;41;60;74;86],[5,A100,A56,A34,A56],6

每行预期输出取决于多行。每个单元格值应存储在中间变量中。据此代码可以写成:

    BufferedReader csv = new BufferedReader(new FileReader("test.csv"));

    String line;

    ArrayList<String> ar1 = new ArrayList<String>();
    ArrayList<String> ar2 = new ArrayList<String>();

    String s1=null,s2=null;

    String[] lineSplit;

    while ((line = csv.readLine()) != null){

        lineSplit = line.split(",");
        if(lineSplit.length>1){ 
            if(!lineSplit[0].equals("null")){

                if(!ar1.isEmpty()){

                    System.out.println(s1+","+ar1.toString().replaceAll(", ", ";")
                                       +","+ar2.toString().replaceAll(", ", ",")+","+s2);
                }

                s1 = lineSplit[0] ;
                s2 = lineSplit[3];
                ar1 = new ArrayList<String>();
                ar1.add(lineSplit[1]);
                ar2 = new ArrayList<String>();
                ar2.add(lineSplit[2]);
            }
            else{
                ar1.add(lineSplit[1]);
                ar2.add(lineSplit[2]);
            }
        }
    }

    System.out.println(s1+","+ar1.toString().replaceAll(", ", ";")
               +","+ar2.toString().replaceAll(", ", ",")+","+s2);

    csv.close();