<div style="FONT-FAMILY: Arial; COLOR: rgb(0, 0, 0); FONT-SIZE: 12px"><div><font size="2"><span style="font-family: Arial;">Just another 2 cents...<br />Splunk is a good idea that I would not have thought of. There's also the open source alternative ELK which makes me think that the CSV parsing may be accomplished using Grok (used in Logstash).<br />If these CSV worksheets will eventually be opened in Excel, you may wish to use python with xlrd/xlwt (http://www.simplistix.co.uk/presentations/python-excel.pdf). It has all the functionality you need to create worksheets with data organized in multiple tabs/sheets and can format the cells to look all pretty. ;-)<br />Hope this helps.<br />-Daniel</span></font><br /></div><div> </div><div> </div><div style="border-top:1px solid #bcbcbc;margin:5px 0px;"></div><span style="font-size:12;font-family:arial;color:#000000;">On 04/28/16, <span>Daniel Deighton<ddeighton@aplura.com></span> wrote:</span><div> </div><div style="font-size:12;font-family:arial;color:#000000;"><div class="markdown"><p dir="auto">You could try to accomplish your goals with the free version of <a href="https://www.splunk.com/en_us/download/splunk-enterprise.html" target="_blank">Splunk</a>. You can import, manipulate and export your CSV file.</p><p dir="auto">This <a href="http://blogs.splunk.com/2015/01/30/working-with-spreadsheets-in-splunk-excel-csv-files/" target="_blank">blog post</a> should get you started. In general, <code>inputlookup</code> and <code>outputlookup</code> are your friends with CSV files in Splunk. </p><p dir="auto">-Dan </p><p dir="auto">On 28 Apr 2016, at 10:36, Rajiv Gunja wrote:</p><blockquote><p dir="auto">Hey all, I am trying to cut down on the amount of manual steps I have to<br />take editing CSV file - sorting, creating new tabs and categorising them.<br />I googled and found logparser from MS, could not figure it out - maybe a<br />mental block towards anything MS.</p><p dir="auto">I saw that it was possible using python or PHP. So turning to you guys for<br />advice. Which one works best or is there a different way?</p><p dir="auto">I do not know Python, but I can learn. PHP, I am very familiar with, but<br />whichever is efficient and can do a better job, I will use it.</p><p dir="auto">Problem:<br />1. CSV file has 2000+ rows<br />2. Some columns are multi-line with \r and \n<br />3. fields are separated by "," and each data item is between quotes (" ")</p><p dir="auto">Please let me know.</p><p dir="auto">-GG</p><hr /><p dir="auto">CALUG mailing list<br /><a class="parsedEmail" href="mailto:CALUG@unknownlamer.org" target="_blank">CALUG@unknownlamer.org</a><br /><a href="http://lists.unknownlamer.org/listinfo/calug" target="_blank">http://lists.unknownlamer.org/listinfo/calug</a></p></blockquote></div><br /><hr size="1" /><br />_______________________________________________<br />CALUG mailing list<br /><a class="parsedEmail" href="mailto:CALUG@unknownlamer.org" target="_blank">CALUG@unknownlamer.org</a><br /><a class="parsedLink" href="http://lists.unknownlamer.org/listinfo/calug" target="_blank">http://lists.unknownlamer.org/listinfo/calug</a><br /></div></div>