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我正在使用 univocity 在 java 中解析一个大的（6 GB）CSV。CSV enrty 如下，可以解析 CSV。任何想法如何生成如下输出：

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

试图获得如下输出：

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

A,[20;41;60;74;86],[5,A100,A56,A34,A56],6
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1 回答 1

1

每行预期输出取决于多行。每个单元格值都应存储在一个中间变量中。相应的代码可以写成如下：

    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();
于 2018-01-30T11:10:14.403 回答