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squidanalyzer
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Fix hidden control character in configuration file.

This commit is contained in:
Darold Gilles 2015-01-30 21:22:41 +01:00
parent 412d445131
commit 17a909d91b
1 changed files with 7 additions and 7 deletions
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14
etc/squidanalyzer.conf
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@ -14,10 +14,10 @@ WebUrl /squidreport
LogFile /var/log/squid3/access.log
# If you want to use DNS name instead of client Ip address as username enable
# this directive. When you don't have authentication, the username is set to
# this directive. When you don't have authentication, the username is set to
# the client ip address, this allow you to use the DNS name instead.
# Note that you must have a working DNS resolution and that it can really slow
# down the generation of reports.
# Note that you must have a working DNS resolution and that it can really slow
# down the generation of reports.
UseClientDNSName 0
# If you have enabled UseClientDNSName and have lot of ip addresses that do
@ -76,7 +76,7 @@ Exclude /etc/squidanalyzer/excluded
# Path to the file containing client ip addresses, network ip address,
# and/or auth login to include into the report. Other entries will be
# excluded by default.
# excluded by default.
Include /etc/squidanalyzer/included
# Translation Language file to use (fr_FR.txt, pt_BR.txt, es_ES.txt,
@ -88,7 +88,7 @@ Include /etc/squidanalyzer/included
# You can also use %M to replace month by its 3 letters abbreviation.
DateFormat %y-%m-%d
# Set this to 1 if you want to anonymize all user login. The username
# Set this to 1 if you want to anonymize all user login. The username
# will be replaced by an unique id that change at each squid-analyzer
# run. Default disable.
AnonymizeLogin 0
@ -111,8 +111,8 @@ MinPie 2
#Locale en_US
# By default SquidAnalyzer is saving current collected statistics each time
# a new hour is found in log file. Most of the time this is enough but if
# you have huge log file and don't have enough memory this will slow down the
# a new hour is found in log file. Most of the time this is enough but if
# you have huge log file and don't have enough memory this will slow down the
# parser by forcing Perl to use temporaries files. Use lower value following
# your memory and the size of your log file, on very huge log file with lot of
# requests/seconde a value of 30 minutes (1800) or less should help.