﻿<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>LogViewPlus Support » LogViewPlus Support » Configuration &amp; Customization  » Dynamic Creation of Columns by CustomReader</title><generator>InstantForum 2017-1 Final</generator><description>LogViewPlus Support</description><link>https://www.logviewplus.com/forum/</link><webMaster>LogViewPlus Support</webMaster><lastBuildDate>Fri, 15 May 2026 14:48:26 GMT</lastBuildDate><ttl>20</ttl><item><title>Dynamic Creation of Columns by CustomReader</title><link>https://www.logviewplus.com/forum/post/2050</link><description>Hi there&lt;br/&gt;I have built a plugin based on your project: custom reader.&lt;br/&gt;The Plugin reads logfiles provided by a service.&lt;br/&gt;But we have a lot of different types of logfiles, from different applications.&lt;br/&gt;What i want to do now is create some additional columns in the viewer (dynamically created by the data received).&lt;br/&gt;The Clearcove.LogViewer.Common.LogEntry object seems to be limited to the standard columns.&lt;br/&gt;&lt;br/&gt;now:&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;&lt;br/&gt;what i want:&lt;br/&gt;&lt;img src="../Uploads/Images/0db1449b-f5c2-4fa5-99cc-ccc7.png" data-download-url="../Uploads/Images/c8f26756-5b79-45b4-8e76-37d0.png" id="if_insertedNode_1706770154534"&gt;&lt;br/&gt;&lt;br/&gt;Is there a way to achieve this with this plugin?&lt;br/&gt;Or is there a way to achieve this with any plugin?&lt;br/&gt;&lt;br/&gt;Thanks for your answer.&lt;br/&gt;phw&lt;br/&gt;&lt;br/&gt;</description><pubDate>Thu, 01 Feb 2024 08:33:04 GMT</pubDate><dc:creator>phw</dc:creator></item><item><title>RE: Dynamic Creation of Columns by CustomReader</title><link>https://www.logviewplus.com/forum/post/2053</link><description>Hi Toby&lt;br/&gt;Thank you very much, I will try this out.&lt;br/&gt;have a nice day</description><pubDate>Thu, 01 Feb 2024 08:33:04 GMT</pubDate><dc:creator>phw</dc:creator></item><item><title>RE: Dynamic Creation of Columns by CustomReader</title><link>https://www.logviewplus.com/forum/post/2052</link><description>Hi Phw,&lt;br/&gt;&lt;br/&gt;If you look at MyParser in the sample projects, the GetSupportedTypes method implements a string column.&amp;nbsp; You can use a string column to create the needed custom columns.&lt;br/&gt;&lt;br/&gt;GetSupportedTypes will be called after the Initialize method, but before the parser receives any data.&amp;nbsp; It is not possible to dynamically change the columns based on the log entry data.&amp;nbsp; LogViewPlus can do this through &lt;a href="https://www.logviewplus.com/docs/log_message_parsers.html" id="if_insertedNode_1706774918443"&gt;message parsers&lt;/a&gt;, but this is an application feature independent of the parser.&lt;br/&gt;&lt;br/&gt;In other words, columns need to be defined for the log file in advance.&amp;nbsp; All log entries in the file must follow the same &lt;a href="https://www.logviewplus.com/docs/what_is_a_log_file_.html" id="if_insertedNode_1706775067059"&gt;metadata structure&lt;/a&gt;.&lt;br/&gt;&lt;br/&gt;Maybe you could use the parser configuration / Initialize method to help determine the columns in advance?&lt;br/&gt;&lt;br/&gt;Hope that helps,&lt;br/&gt;&lt;br/&gt;Toby</description><pubDate>Thu, 01 Feb 2024 08:13:53 GMT</pubDate><dc:creator>LogViewPlus Support</dc:creator></item></channel></rss>