Good morning,

I am quite new at java and in the learning process.

I have a log file with the following data contained in it:
mai 4 03:26:53 pcjournal Dock[345]: Corrupt JPEG data: premature end of data segment
mai 4 03:26:53 pcbookscuba [0x1-0xa01a][345]: Tue Jun 2 03:26:53 macbookscuba.local Dock[215] <Error>: Corrupt JPEG data: premature end of data segment

I would like to read my text file and parse it and print out statistics for number of messages per minute, number of messages per hour, number of messages per day.

I am thinking of using arraylist to hold the data, perhaps a list of arraylist to hold each line I'm not sure.

So far I can read the text file holding the data:


  class FileReadTest { 

     public static void main (String[] args) { 
	FileReadTest f = new FileReadTest();

	void readMyFile() { 

        DataInputStream dis = null; 
        String record = null; 
        int recCount = 0; 

        try { 

           File f = new File("mydata.txt"); 
           FileInputStream fis = new FileInputStream(f); 
           BufferedInputStream bis = new BufferedInputStream(fis); 
           dis = new DataInputStream(bis);  

           while ( (record=dis.readLine()) != null ) { 
              System.out.println(recCount + ": " + record); 

        } catch (IOException e) { 
           // catch io errors from FileInputStream or readLine() 
           System.out.println("IOException error!" + e.getMessage()); 

        } finally { 
           // if the file opened okay, make sure we close it 
           if (dis != null) { 
	      try {
	      } catch (IOException ioe) {

The problem I am having is that I do not know how to go about obtaining the result I am looking for.
Could somebody guide me in the right direction? Perhaps a tutorial or an example I could work with.

THank you very much for your help,

Thanks for using code tags on your first post.

It depends on how you want to parse it.
If you managed to read each line in the 'record' variable perhaps you should look at the String class. There are methods like split() and substring()

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