Search Results for "sql command line"

Apache Log Parser and Data Normalization Application Python handles File Processing & MySQL handles Data Processing ApacheLogs2MySQL consists of two Python Modules & one MySQL Schema to automate importing Access & Error files and normalizing data into database designed for reports & data analysis. Runs on Windows, Linux and MacOS & tested with MySQL versions 8.0.39, 8.4.3, 9.0.0 & 9.1.0. 4 LogFormats & 2 ErrorLogFormats can be loaded and 5 MySQL Stored Procedures can be processed...

Enterprise is an open source monitor and advanced log parser. Based on Enterprise ship state system controller of Star Trek, It is able to let you know about the state of your services in a given time.

PHP script to parser apache log. You can fetch by: IP Requests Request by IP Request by day hour and much more!

PFL can either operate as a stand-alone firewall log parser or set up to run and configure ipfw. The major focus is parsing, compressing, and filtering *NIX (to include Mac OSX) firewall logs generated by IPFW for quick and easy admin review.

originally written to gather and group user data from Postfix's mail.info based on a given sasl_user. As it turns out, it works well for searching by message id or anything else useful. It also features, just for fun, ansi colors.

devialog is a behavior/anomaly-based syslog intrusion detection system which detects unknown attacks via anomalies in syslog. It can generate signatures for ease of management, act upon anomalies in a predefined fashion or perform as a standard log parser

A complex log parser that allows for the scripting of actions, updating databases, on-the-fly configuration and much more. Aggregate logs from disparate systems (i.e. Apache, IPS/IDS and various sensors) and take action on events through external scripts

A Perl program that trims the statistics.csv file (generated by Battlefield Server Manager, http://blackbagops.com/bf1942/index.shtml) to exclude log entries older than x days, for use by Venkman's BFStats log parser, http://www.mkoehler.de/bfstats