I am trying to parse a rather long log file and creating a better more manageable listing of issues.
I am able to read and parse out the individual log line by line, but what I need to do is display only unique entries, as some errors occur more often than others and are always recorded with identical text.
What I was going to try to do was create a Dictionary object to hold each unique entry and as I work through the log file, search the Dictionary object to see if the same values are already in there.
Here is a crude sample of the code I have (a work in progress, I hope I have all syntax right) that does not work. For some reason this script never sees any distinct entries (if statement never passes):
string[] rowdta = new string[4];
Dictionary<string[], int> dict = new Dictionary<string[], int>();
int ctr = -1;
if (linectr == 1)
{
ctr++;
dict.Add(rowdta, ctr);
}
else
{
foreach (KeyValuePair<string[], int> pair in dict)
{
if ((pair.Key[1] != rowdta[1]) || (pair.Key[2] != rowdta[2])| (pair.Key[3] != rowdta[3]))
{
ctr++;
dict.Add(rowdta, ctr);
}
}
}
Some sample data:
First line
rowdta[0]="ErrorType";
rowdta[1]="Undefined offset: 0";
rowdta[2]="/url/routesDisplay2.svc.php";
rowdta[3]="Line Number 5";
2nd line
rowdta[0]="ErrorType";
rowdta[1]="Undefined offset: 0";
rowdta[2]="/url/routesDisplay2.svc.php";
rowdta[3]="Line Number 5";
3rd line
rowdta[0]="ErrorType";
rowdta[1]="Undefined variable: fvmsg";
rowdta[2]="/url/processes.svc.php";
rowdta[3]="Line Number 787";
So, with this, the Dictionary will have 2 items in it, first line and 3rd line.
I have also tried this with the following which nalso does not find any variations in the log file text.
if (!dict.ContainsKey(rowdta)) {}
Can someone please help me get this syntax right? I am just a newbie at C# but this should be relatively straightforward. As always, I am thinking that this should be enough information to get the conversation started. If you want/need more detail, please let me know.
Either create a wrapper for your strings which implements IEquatable.
Then use that in your dictionary:
Or create a custom comparer similar to that proposed by @dasblinkenlight and use as follows