在Java中解析文件和检测模式 [英] Parsing file and detection of pattern in Java

问题描述

我的问题很简单，我解析一个CSV文件，一行一行 ，我想得到的列的值。
所使用的分隔符只是简单的; ，但我的文件可以有很多列，并且他们不会总是在相同的顺序。 / p>

例如对于我的.CSV文件：

  time; columnA ; columnB，ColumnC 
 27-08-2013 14:43:00;这是一个文本;这个也是;在这里
  

并且我想能够获得所有的时间值，columnA ，columnB和columnC。

我使用 StringUtils.countMatches（input，;）;

/ code>获取我有的分隔符的数量。
我开始尝试创建一个 String index [] [] = {{time，columnA，columnB，columnC} {}};
我的计划是在每个其他变量之前填充; 的数字，以便我可以很容易地现在哪个结果代表哪个变量。

但现在我很抱歉...

如果你想让我显示更多的代码， 我可以。
希望有人可以帮助我！

您可以使用 split（）方法

例如：

 扫描仪aScanner = ... 
 ArrayList< String> L = new ArrayList< String>（）; 
 while（aScanner.hasNextLine（））{
 L.add（aScanner.nextLine（））; 
} 
 int rows = L.size（）; 
 String [] [] S = new String [rows] []; 
 for（int i = 0; i< rows; i ++）{
 S [i] = L.get（i）.split（;）; 
} 
  

My problem is quite simple, i am parsing a CSV file, line after line and i want to get the values of the columns. The separators used are simply ";", but my file can have quite a lot of columns, and they won't be always in the same order.

So as example for my .CSV file :

time;columnA;columnB,ColumnC
27-08-2013 14:43:00; this is a text; this too; same here

And i would like to be able to get all the values of time, columnA, columnB and columnC. What would be the easiest way?

I used StringUtils.countMatches(input, ";"); to get the number of separators i have. I started trying to make a String index[][] = {{"time", "columnA", "columnB", "columnC"}{}}; And my plan was to fill this with the number of ";" before each other variable, so that i could easily now which result stands for which variable.

But now i'm quite stuck...

If you want me to show more of my code, i can. Hope that someone can help me ! :)

(sorry for the poor english).

解决方案

You can simply use split() method

For instance:

Scanner aScanner = ...
ArrayList<String> L = new ArrayList<String>();
while(aScanner.hasNextLine()){
    L.add(aScanner.nextLine());
}
int rows = L.size();
String[][] S = new String[rows][];
for (int i = 0; i < rows; i++) {
    S[i] = L.get(i).split(";");
}

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