LOG_DB_DAEMON(1) User Contributed Perl Documentation LOG_DB_DAEMON(1)NAMElog_db_daemon - Database logging daemon for Squid
SYNOPSISlog_db_daemon DSN [options]
DESCRIPTOIN
This program writes Squid access.log entries to a database. Presently
only accepts the squid native format
DSN Database DSN encoded as a path. This is sent as the access_log
file path.
Sample configuration:
access_log daemon:/host/database/table/username/password
squid
to leave a parameter unspecified use a double slash:
access_log daemon://database/table/username/password squid
Default "DBI:mysql:database=squid"
--debug Write debug messages to Squid stderr or cache.log
DESCRIPTION
This module exploits the new logfile daemon support available in squid
2.7 and 3.2 to store access log entries in a MySQL database.
CONFIGURATION
Squid configuration
access_log directive
The path to the access log file is used to provide the database
connection parameters.
access_log daemon:/mysql_host:port/database/table/username/password squid
The 'daemon' prefix is mandatory and tells squid that the
logfile_daemon helper is to be used instead of the normal file logging.
The last parameter tells squid which log format to use when writing
lines to the log daemon. Presently squid format is supported.
mysql_host:port
Host where the mysql server is running. If left empty, 'localhost'
is assumed.
database
Name of the database to connect to. If left empty, 'squid_log' is
assumed.
table
Name of the database table where log lines are stored. If left
empty, 'access_log' is assumed.
username
Username to use when connecting to the database. If left empty,
'squid' is assumed.
password
Password to use when connecting to the database. If left empty, no
password is used.
To leave all fields to their default values, you can use a single
slash:
access_log daemon:/ squid
To specify only the database password, which by default is empty, you
must leave unspecified all the other parameters by using null strings:
access_log daemon://///password squid
logfile_daemon directive
This is the current way of telling squid where the logfile daemon
resides.
logfile_daemon /path/to/squid/libexec/logfile-daemon_mysql.pl
The script must be copied to the location specified in the directive.
Database configuration
Let's call the database 'squid_log' and the log table 'access_log'. The
username and password for the db connection will be both 'squid'.
Database
Create the database:
CREATE DATABASE squid_log;
User
Create the user:
GRANT INSERT,SELECT,CREATE ON squid_log.* TO 'squid'@'localhost' IDENTIFIED BY 'squid';
FLUSH PRIVILEGES;
Note that only CREATE, INSERT and SELECT privileges are granted to the
'squid' user. This ensures that the logfile daemon script cannot change
or modify the log entries.
Table
The Daemon will attempt to initialize this table if none exists when it
starts.
The table created should look like:
CREATE TABLE access_log (
id INTEGER NOT NULL AUTO_INCREMENT PRIMARY KEY,
time_since_epoch DECIMAL(15,3),
time_response INTEGER,
ip_client CHAR(15),
ip_server CHAR(15),
http_status_code VARCHAR(10),
http_reply_size INTEGER,
http_method VARCHAR(20),
http_url TEXT,
http_username VARCHAR(20),
http_mime_type VARCHAR(50),
squid_hier_status VARCHAR(20),
squid_request_status VARCHAR(20)
);
VERSION INFORMATION
This document refers to "log_db_daemon" script version 0.5.
The script has been developed and tested in the following environment:
squid-2.7 Squid-3.2
mysql 5.0.26 and 5.1
perl 5.8.8
OpenSUSE 10.2
DATA EXTRACTION
Sample queries.
Clients accessing the cache
SELECT DISTINCT ip_client FROM access_log;
Number of request per day
SELECT
DATE(FROM_UNIXTIME(time_since_epoch)) AS date_day,
COUNT(*) AS num_of_requests
FROM access_log
GROUP BY 1
ORDER BY 1;
Request status count
To obtain the raw count of each request status:
SELECT squid_request_status, COUNT(*) AS n
FROM access_log
GROUP BY squid_request_status
ORDER BY 2 DESC;
To calculate the percentage of each request status:
SELECT
squid_request_status,
(COUNT(*)/(SELECT COUNT(*) FROM access_log)*100) AS percentage
FROM access_log
GROUP BY squid_request_status
ORDER BY 2 DESC;
To distinguish only between HITs and MISSes:
SELECT
'hits',
(SELECT COUNT(*)
FROM access_log
WHERE squid_request_status LIKE '%HIT%')
/
(SELECT COUNT(*) FROM access_log)*100
AS percentage
UNION
SELECT
'misses',
(SELECT COUNT(*)
FROM access_log
WHERE squid_request_status LIKE '%MISS%')
/
(SELECT COUNT(*) FROM access_log)*100
AS pecentage;
Response time ranges
SELECT
'0..500',
COUNT(*)/(SELECT COUNT(*) FROM access_log)*100 AS percentage
FROM access_log
WHERE time_response >= 0 AND time_response < 500
UNION
SELECT
'500..1000',
COUNT(*)/(SELECT COUNT(*) FROM access_log)*100 AS percentage
FROM access_log
WHERE time_response >= 500 AND time_response < 1000
UNION
SELECT
'1000..2000',
COUNT(*)/(SELECT COUNT(*) FROM access_log)*100 AS percentage
FROM access_log
WHERE time_response >= 1000 AND time_response < 2000
UNION
SELECT
'>= 2000',
COUNT(*)/(SELECT COUNT(*) FROM access_log)*100 AS percentage
FROM access_log
WHERE time_response >= 2000;
Traffic by mime type
SELECT
http_mime_type,
SUM(http_reply_size) as total_bytes
FROM access_log
GROUP BY http_mime_type
ORDER BY 2 DESC;
Traffic by client
SELECT
ip_client,
SUM(http_reply_size) AS total_bytes
FROM access_log
GROUP BY 1
ORDER BY 2 DESC;
Speed issues
The MyISAM storage engine is known to be faster than the InnoDB one, so
although it doesn't support transactions and referential integrity, it
might be more appropriate in this scenario. You might want to append
"ENGINE=MYISAM" at the end of the table creation code in the above SQL
script.
Indexes should be created according to the queries that are more
frequently run. The DDL script only creates an implicit index for the
primary key column.
TODO
Table cleanup
This script currently implements only the "L" (i.e. "append a line to
the log") command, therefore the log lines are never purged from the
table. This approach has an obvious scalability problem.
One solution would be to implement e.g. the "rotate log" command in a
way that would calculate some summary values, put them in a "summary
table" and then delete the lines used to caluclate those values.
Similar cleanup code could be implemented in an external script and run
periodically independently from squid log commands.
Testing
This script has only been tested in low-volume scenarios (single
client, less than 10 req/s). Tests in high volume environments could
reveal performance bottlenecks and bugs.
AUTHOR
Marcello Romani, marcello.romani@libero.it Amos Jeffries,
amosjeffries@squid-cache.org
COPYRIGHT AND LICENSE
Copyright (C) 2008 by Marcello Romani
This library is free software; you can redistribute it and/or modify it
under the same terms as Perl itself, either Perl version 5.8.8 or, at
your option, any later version of Perl 5 you may have available.
perl v5.18.1 2013-12-05 LOG_DB_DAEMON(1)
