About 50 results
Open links in new tab
  1. LogShark Installation and User Guide - GitHub Pages

    LogShark extracts data from Tableau Server and Tableau Desktop log files and builds workbooks that can help you identify and understand error conditions, performance bottlenecks, and background …

  2. Run LogShark - GitHub Pages

    Navigate to results folder you are interested in and double-click the Tableau workbook you want to view. For example, if you open the Apache.twbx workbook, you can view the viz load statistics generated …

  3. Configure and Customize LogShark - GitHub Pages

    LogShark generates saves run summaries as logs in the LogShark’s <LogShark_install_location>\Logs folder. You can specify the format to be JSON by flipping the Json switch to true.

  4. LogShark Plugins and Generated Workbooks - GitHub Pages

    LogShark logs.zip --plugins Apache LogShark logs.zip --plugins "Apache;VizqlServer"

  5. LogShark Command Options - GitHub Pages

    Full usage can be viewed at any time by invoking LogShark --help. The only required argument is the log set location, which can be either an archive (zip file), a directory, or a logset hash. LogShark …

  6. Get your Computer Set Up for LogShark - GitHub Pages

    The archive log files must be from Tableau Server or Tableau Desktop version 9.0 or later. LogShark requires that the Tableau Server log files that you process are compressed (zipped) files, also known …

  7. Install LogShark - GitHub Pages

    Tableau log file analysis utility. Download LogShark Download and unzip the precompiled self-contained application using the following link: Download LogShark for Win 4.2.4 Note that LogShark is …

  8. Publish LogShark Results to Tableau Server

    If you want to publish logs into sub-projects on Tableau Server, you can do so easily by specifying either ParentProject or ID variable in the config file. (You only need to provide one or of the other. If you …

  9. LogShark Workbook - ART (Vizqlserver Activity and Resource Tracing)

    For queries that list ‘Sqlproxy’ as the database Class, those are published datasources and you will need to check the dataserver logs to see the actual database class type.

  10. Visualize Historical Trends of Your Logs - GitHub Pages

    In the previous version LogShark we are bringing back the ability to visualize historic trends view of your logs. You can either write LogShark’s output to a PostgreSQL database server or append data from …