Hey all, I was wondering if Analog can analyze CSV data. We are getting
log files for another type of service.
The first line of the csv file are some field names:
REGION PLAY_DATE PLAY_TIME ACCOUNT_NUMBER PRODUCT PROVIDER
KEY TITLE
Is there a way for Analog to decipher this
Here's the full string:
REGION PLAY_DATE PLAY_TIME ACCOUNT_NUMBER MAC_ADDRESS
PRODUCT PROVIDERASSET_KEY TITLE
AUSTIN 1-Jul-070:00:23 XX XXX ProductName
X Some Title
Thanks!
-Original Message-
From:
Raj Hungund [EMAIL PROTECTED] wrote:
I haven't tried it yet...just wondering if it could be done =)
Should I just research custom logformatting?
You could post an example of the actual data. But just at a wild guess
LOGFORMAT (%j %y:%m:d %h:%n:%j %u %r %f %j %B)
might work (though I have no
Raj Hungund [EMAIL PROTECTED] wrote:
Here's the full string:
REGION PLAY_DATE PLAY_TIME ACCOUNT_NUMBER MAC_ADDRESS
PRODUCT PROVIDER ASSET_KEY TITLE
AUSTIN 1-Jul-07 0:00:23 XX XXX ProductName
X Some Title
Which fields do you actually care about? Do you care about the Region?
Aengus [EMAIL PROTECTED] wrote:
Raj Hungund [EMAIL PROTECTED] wrote:
Here's the full string:
REGION PLAY_DATE PLAY_TIME ACCOUNT_NUMBER MAC_ADDRESS
PRODUCT PROVIDER ASSET_KEY TITLE
AUSTIN 1-Jul-07 0:00:23 XX XXX ProductName
X Some Title
Which fields do you actually care
Hi there
We currently have a framed website. I'd like to confirm if the number of
accesses to framed pages in the statistics is in addition to the nested
pages. The animals.htm example below would seem to indicate it is in
addition to the framed page. I understand it's not so clear cut, but any
6 matches
Mail list logo