## Perforce Server Log Analyzers

Log analyzers are useful to identify common issues on a Perforce
server quickly.

For more background information, please see:

http://answers.perforce.com/articles/KB/5470/

http://answers.perforce.com/articles/KB/2514/


## log_analyzer.php

This is a PHP script that turns a `P4LOG` into a SQLite database
and generate canned reports from it.

The report is useful to identify common performance issues on a
Perforce Helix server and further queries can be done against the
SQLite database created.

For more information, please refer to the following KB
article:

http://answers.perforce.com/articles/KB/1266/


## p4clog.py

A Python script that scans through a `P4LOG` file quickly and
generate data suitable for generating graphs.

More information and examples can be found in:

http://answers.perforce.com/articles/KB/3706/

## log2sql.py

The new kid on the block - similar to log_analyzer.php.
Big advantage is that it has a fairly comprehensive test harness
and processes all manner of recently observed log file scenarios.

In addition, there is an associated Python Flask-based web app
which runs various pre-canned queries and charts. It is setup to 
run inside a Docker container for ease of isolation of environment.

Pre-requisite: Docker installed

Use the Makefile (first build from scratch will take 5-10 mins):

    make build
    make up

The latter runs the web app by default on http://localhost:5000

Note that there is a page to upload a log file into the /logs directory
inside the container. But the container is run with the logs directory in
the current directory mounted as /logs - so files will persist when
container is not running. Any generated database will also be put in this 
same directory.