Manual Reference Pages - PGBADGER (1)
pgBadger - a fast PostgreSQL log analysis report
Usage: pgbadger [options] logfile [...]
PostgreSQL log analyzer with fully detailed reports and graphs.
logfile can be a single log file, a list of files, or a shell command
returning a list of files. If you want to pass log content from stdin
use - as filename. Note that input from stdin will not work with csvlog.
-a | --average minutes : number of minutes to build the average graphs of
queries and connections. Default 5 minutes.
-A | --histo-avg minutes: number of minutes to build the histogram graphs
of queries. Default 60 minutes.
-b | --begin datetime : start date/time for the data to be parsed in log.
-B | --bar-graph : use bar graph instead of line by default.
-c | --dbclient host : only report on entries for the given client host.
-C | --nocomment : remove comments like /* ... */ from queries.
-d | --dbname database : only report on entries for the given database.
-D | --dns-resolv : client ip adresses are replaced by their DNS name.
Be warned that this can really slow down pgBadger.
-e | --end datetime : end date/time for the data to be parsed in log.
-f | --format logtype : possible values: syslog, syslog2, stderr and csv.
-G | --nograph : disable graphs on HTML output. Enabled by default.
-h | --help : show this message and exit.
-i | --ident name : programname used as syslog ident. Default: postgres
-I | --incremental : use incremental mode, reports will be generated by
days in a separate directory, --outdir must be set.
-j | --jobs number : number of jobs to run at same time. Default is 1,
run as single process.
-J | --Jobs number : number of log file to parse in parallel. Default
is 1, run as single process.
-l | --last-parsed file: allow incremental log parsing by registering the
last datetime and line parsed. Useful if you want
to watch errors since last run or if you want one
report per day with a log rotated each week.
-L | logfile-list file : file containing a list of log file to parse.
-m | --maxlength size : maximum length of a query, it will be restricted to
the given size. Default: no truncate
-M | --no-multiline : do not collect multiline statement to avoid garbage
especially on errors that generate a huge report.
-n | --nohighlight : disable SQL code highlighting.
-N | --appname name : only report on entries for given application name
-o | --outfile filename: define the filename for the output. Default depends
on the output format: out.html, out.txt, out.bin,
out.json or out.tsung.
With module JSON::XS installed, you can output file
in JSON format either.
To dump output to stdout use - as filename.
-O | --outdir path : directory where out file must be saved.
-p | --prefix string : the value of your custom log_line_prefix as
defined in your postgresql.conf. Only use it if you
arent using one of the standard prefixes specified
in the pgBadger documentation, such as if your
prefix includes additional variables like client ip
or application name. See examples below.
-P | --no-prettify : disable SQL queries prettify formatter.
-q | --quiet : dont print anything to stdout, not even a progress
-r | --remote-host ip : set the host where to execute the cat command on
remote logfile to parse localy the file.
-R | --retention N : number of week to keep in incremental mode. Default
to 0, disabled. Used to set the number of weel to
keep in output directory. Older weeks and days
directory are automatically removed.
-s | --sample number : number of query samples to store. Default: 3.
-S | --select-only : only report SELECT queries.
-t | --top number : number of queries to store/display. Default: 20.
-T | --title string : change title of the HTML page report.
-u | --dbuser username : only report on entries for the given user.
-U | --exclude-user username : exclude entries for the specified user from
-v | --verbose : enable verbose or debug mode. Disabled by default.
-V | --version : show pgBadger version and exit.
-w | --watch-mode : only report errors just like logwatch could do.
-x | --extension : output format. Values: text, html, bin, json or
tsung. Default: html
-X | --extra-files : in incremetal mode allow pgbadger to write CSS and
JS files in the output directory as separate files.
-z | --zcat exec_path : set the full path to the zcat program. Use it if
zcat or bzcat or unzip is not in your path.
-Z | --timezone +/-XX : Set the number of hour(s) from GMT of the timezone.
--pie-limit num : pie data lower than num% will show a sum instead.
--exclude-query regex : any query matching the given regex will be excluded
from the report. For example: "^(VACUUM|COMMIT)"
You can use this option multiple times.
--exclude-file filename: path of the file which contains all the regex to
use to exclude queries from the report. One regex
--include-query regex : any query that does not match the given regex will
be excluded from the report. You can use this
option multiple times. For example: "(tbl1|tbl2)".
--include-file filename: path of the file which contains all the regex of
the queries to include from the report. One regex
--disable-error : do not generate error report.
--disable-hourly : do not generate hourly report.
--disable-type : do not generate report of queries by type, database
--disable-query : do not generate query reports (slowest, most
frequent, queries by users, by database, ...).
--disable-session : do not generate session report.
--disable-connection : do not generate connection report.
--disable-lock : do not generate lock report.
--disable-temporary : do not generate temporary report.
--disable-checkpoint : do not generate checkpoint/restartpoint report.
--disable-autovacuum : do not generate autovacuum report.
--charset : used to set the HTML charset to be used.
--csv-separator : used to set the CSV field separator, default: ,
--exclude-time regex : any timestamp matching the given regex will be
excluded from the report. Example: "2013-04-12 .*"
You can use this option multiple times.
--exclude-appname name : exclude entries for the specified application name
from report. Example: "pg_dump".
--exclude-line regex : pgbadger will start to exclude any log entry that
will match the given regex. Can be used multiple
--anonymize : obscure all literals in queries, useful to hide
--noreport : prevent pgbadger to create reports in incremental
--log-duration : force pgbadger to associate log entries generated
by both log_duration = on and log_statement = all
--enable-checksum : used to add a md5 sum under each query report.
--journalctl command : command to use to replace PostgreSQL logfile by
a call to journalctl. Basically it might be:
journalctl -u postgresql-9.5
--pid-dir dirpath : set the path of the directory where the pid file
will be written to be able to run two pgbadger at
the same time.
pgBadger is able to parse a remote log file using a passwordless ssh connection.
Use the -r or --remote-host to set the host ip address or hostname. Theres also
some additional options to fully control the ssh connection.
--ssh-program ssh path to the ssh program to use. Default: ssh.
--ssh-user username connection login name. Default to running user.
--ssh-identity file path to the identity file to use.
--ssh-timeout second timeout to ssh connection failure. Default 10 secs.
--ssh-options options list of -o options to use for the ssh connection.
Options always used:
pgbadger /var/log/postgres.log.2.gz /var/log/postgres.log.1.gz
pgbadger --exclude-query="^(COPY|COMMIT)" /var/log/postgresql.log
pgbadger -b "2012-06-25 10:56:11" -e "2012-06-25 10:59:11"
cat /var/log/postgres.log | pgbadger -
# Log prefix with stderr log output
perl pgbadger --prefix %t [%p]: [%l-1] user=%u,db=%d,client=%h
perl pgbadger --prefix %m %u@%d %p %r %a : /pglog/postgresql.log
# Log line prefix with syslog log output
perl pgbadger --prefix user=%u,db=%d,client=%h,appname=%a
# Use my 8 CPUs to parse my 10GB file faster, much faster
perl pgbadger -j 8 /pglog/postgresql-9.1-main.log
Generate Tsung sessions XML file with select queries only:
perl pgbadger -S -o sessions.tsung --prefix %t [%p]: [%l-1] user=%u,db=%d /pglog/postgresql-9.1.log
Reporting errors every week by cron job:
30 23 * * 1 /usr/bin/pgbadger -q -w /var/log/postgresql.log -o /var/reports/pg_errors.html
Generate report every week using incremental behavior:
0 4 * * 1 /usr/bin/pgbadger -q `find /var/log/ -mtime -7 -name "postgresql.log*"`
-o /var/reports/pg_errors-`date +%F`.html -l /var/reports/pgbadger_incremental_file.dat
This supposes that your log file and HTML report are also rotated every week.
Or better, use the auto-generated incremental reports:
0 4 * * * /usr/bin/pgbadger -I -q /var/log/postgresql/postgresql.log.1
will generate a report per day and per week.
In incremental mode, you can also specify the number of week to keep in the
/usr/bin/pgbadger --retention 2 -I -q /var/log/postgresql/postgresql.log.1
If you have a pg_dump at 23:00 and 13:00 each day during half an hour, you can
use pgbadger as follow to exclude these period from the report:
pgbadger --exclude-time "2013-09-.* (23|13):.*" postgresql.log
This will help avoid having COPY statements, as generated by pg_dump, on top of
the list of slowest queries. You can also use --exclude-appname pg_dump to
solve this problem in a simpler way.
You can also parse journalctl output just as if it was a log file:
perl pgbadger --journalctl journalctl -u postgresql-9.5
or worst, call it from a remote host:
perl pgbadger -r 192.168.1.159 --journalctl journalctl -u postgresql-9.5
you dont need to specify any log file at command line, but if you have others
PostgreSQL log files to parse, you can add them as usual.
pgBadger is a PostgreSQL log analyzer built for speed with fully
reports from your PostgreSQL log file. Its a single and small Perl script
Perl script that outperforms any other PostgreSQL log analyzer.
graphs so that you dont need to install any additional Perl modules or
other packages. Furthermore, this library gives us more features such
the FontAwesome webfont for better design. Everything is embedded.
pgBadger is able to autodetect your log file format (syslog, stderr or csvlog).
It is designed to parse huge log files as well as gzip compressed files. See a
complete list of features below. Supported compressed format are gzip, bzip2
and xz. For the xz format you must have an xz version upper than 5.05 that
supports the --robot option.
All charts are zoomable and can be saved as PNG images.
You can also limit pgBadger to only report errors or remove any part of the
report using command line options.
pgBadger supports any custom format set into the log_line_prefix directive of
your postgresql.conf file as long as it at least specify the %t and %p patterns.
pgBadger allows parallel processing of a single log file or multiple
files through the use of the -j option specifying the number of CPUs.
If you want to save system performance you can also use log_duration instead of
log_min_duration_statement to have reports on duration and number of queries only.
pgBadger reports everything about your SQL queries:
The most frequent waiting queries.
Queries that waited the most.
Queries generating the most temporary files.
Queries generating the largest temporary files.
The slowest queries.
Queries that took up the most time.
The most frequent queries.
The most frequent errors.
Histogram of query times.
Histogram of sessions times.
Users involved in top queries.
Applications involved in top queries.
Queries generating the most cancellation.
Queries most cancelled.
The following reports are also available with hourly charts divided into
periods of five minutes:
SQL queries statistics.
Temporary file statistics.
Autovacuum and autoanalyze statistics.
Error events (panic, fatal, error and warning).
There are also some pie charts about distribution of:
Queries by type (select/insert/update/delete).
Distribution of queries type per database/application
Sessions per database/user/client/application.
Connections per database/user/client/application.
Autovacuum and autoanalyze per table.
Queries per user and total duration per user.
All charts are zoomable and can be saved as PNG images. SQL queries reported are
highlighted and beautified automatically.
You can also have incremental reports with one report per day and a cumulative
report per week. Two multiprocess modes are available to speed up log parsing,
one using one core per log file, and the second using multiple cores to parse
a single file. These modes can be combined.
Histogram granularity can be adjusted using the -A command line option. By default
they will report the mean of each top queries/errors occuring per hour, but you can
specify the granularity down to the minute.
pgBadger can also be used in a central place to parse remote log files using a
passwordless SSH connection. This mode can be used with compressed files and in
the multiprocess per file mode (-J) but can not be used with the CSV log format.
pgBadger comes as a single Perl script - you do not need anything other than a modern
anything other than a web browser. Your browser will do all the work.
If you planned to parse PostgreSQL CSV log files you might need some Perl Modules:
Text::CSV_XS - to parse PostgreSQL CSV log files.
This module is optional, if you dont have PostgreSQL log in the CSV format you dont
need to install it.
If you want to export statistics as JSON file you need an additional Perl module:
JSON::XS - JSON serialising/deserialising, done correctly and fast
This module is optional, if you dont select the json output format you dont
need to install it.
Compressed log file format is autodetected from the file exension. If pgBadger find
a gz extension it will use the zcat utility, with a bz2 extension it will use bzcat
and if the file extension is zip or xz then the unzip or xz utilities will be used.
If those utilities are not found in the PATH environment variable then use the --zcat
command line option to change this path. For example:
--zcat="/usr/local/bin/gunzip -c" or --zcat="/usr/local/bin/bzip2 -dc"
By default pgBadger will use the zcat, bzcat and unzip utilities following the
file extension. If you use the default autodetection compress format you can
mixed gz, bz2, xz or zip files. Specifying a custom value to --zcat option will
remove this feature of mixed compressed format.
Note that multiprocessing can not be used with compressed files or CSV files as
well as under Windows platform.
Download the tarball from github and unpack the archive as follow:
tar xzf pgbadger-7.x.tar.gz
make && sudo make install
This will copy the Perl script pgbadger to /usr/local/bin/pgbadger by default and the
man page into /usr/local/share/man/man1/pgbadger.1. Those are the default installation
directories for site install.
If you want to install all under /usr/ location, use INSTALLDIRS=perl as an argument
of Makefile.PL. The script will be installed into /usr/bin/pgbadger and the manpage
For example, to install everything just like Debian does, proceed as follows:
perl Makefile.PL INSTALLDIRS=vendor
By default INSTALLDIRS is set to site.
You must enable and set some configuration directives in your postgresql.conf
You must first enable SQL query logging to have something to parse:
log_min_duration_statement = 0
Here every statement will be logged, on a busy server you may want to increase
this value to only log queries with a longer duration. Note that if you have
log_statement set to all nothing will be logged through the log_min_duration_statement
directive. See the next chapter for more information.
With stderr log format, log_line_prefix must be at least:
log_line_prefix = %t [%p]: [%l-1]
Log line prefix could add user, database name, application name and client ip
address as follows:
log_line_prefix = %t [%p]: [%l-1] user=%u,db=%d,app=%a,client=%h
or for syslog log file format:
log_line_prefix = user=%u,db=%d,app=%aclient=%h
Log line prefix for stderr output could also be:
log_line_prefix = %t [%p]: [%l-1] db=%d,user=%u,app=%a,client=%h
or for syslog output:
log_line_prefix = db=%d,user=%u,app=%a,client=%h
You need to enable other parameters in postgresql.conf to get more information from your log files:
log_checkpoints = on
log_connections = on
log_disconnections = on
log_lock_waits = on
log_temp_files = 0
log_autovacuum_min_duration = 0
Do not enable log_statement as its log format will not be parsed by pgBadger.
Of course your log messages should be in English without locale support:
but this is not only recommended by pgBadger.
Note: the session line [%l-1] is just used to match the default prefix for stderr.
The -1 has no real purpose and basically is not used in pgBadger statistics / graphs.
You can safely remove them from the log_line_prefix but you will need to set the
--prefix command line option accordingly.
log_min_duration_statement, log_duration and log_statement
If you want the query statistics to include the actual query strings,
you must set log_min_duration_statement to 0 or more milliseconds.
If you just want to report duration and number of queries and dont want all
details about queries, set log_min_duration_statement to -1 to disable it and
enable log_duration in your postgresql.conf file. If you want to add the most
common request report you can either choose to set log_min_duration_statement
to a higher value or choose to enable log_statement.
Enabling log_min_duration_statement will add reports about slowest queries and
queries that took up the most time. Take care that if you have log_statement
set to all nothing will be logged with log_line_prefix.
To enable parallel processing you just have to use the -j N option where N is
the number of cores you want to use.
pgBadger will then proceed as follow:
for each log file
chunk size = int(file size / N)
look at start/end offsets of these chunks
fork N processes and seek to the start offset of each chunk
each process will terminate when the parser reach the end offset
of its chunk
each process write stats into a binary temporary file
wait for all children has terminated
All binary temporary files generated will then be read and loaded into
memory to build the html output.
With that method, at start/end of chunks pgBadger may truncate or omit a
maximum of N queries per log file which is an insignificant gap if you have
millions of queries in your log file. The chance that the query that you were
looking for is lost is near 0, this is why I think this gap is livable. Most
of the time the query is counted twice but truncated.
When you have many small log files and many CPUs it is speedier to dedicate
one core to one log file at a time. To enable this behavior you have to use
option -J N instead. With 200 log files of 10MB each the use of the -J option
starts being really interesting with 8 Cores. Using this method you will be
sure not to lose any queries in the reports.
He are a benchmarck done on a server with 8 CPUs and a single file of 9.5GB.
Option | 1 CPU | 2 CPU | 4 CPU | 8 CPU
-j | 1h41m18 | 50m25 | 25m39 | 15m58
-J | 1h41m18 | 54m28 | 41m16 | 34m45
With 200 log files of 10MB each and a total of 2GB the results are slightly
Option | 1 CPU | 2 CPU | 4 CPU | 8 CPU
-j | 20m15 | 9m56 | 5m20 | 4m20
-J | 20m15 | 9m49 | 5m00 | 2m40
So it is recommended to use -j unless you have hundreds of small log files
and can use at least 8 CPUs.
IMPORTANT: when you are using parallel parsing pgBadger will generate a
lot of temporary files in the /tmp directory and will remove them at the
end, so do not remove those files unless pgBadger is not running. They are
all named with the following template tmp_pgbadgerXXXX.bin so they can be
pgBadger includes an automatic incremental report mode using option -I or
--incremental. When running in this mode, pgBadger will generate one report
per day and a cumulative report per week. Output is first done in binary
format into the mandatory output directory (see option -O or --outdir),
then in HTML format for daily and weekly reports with a main index file.
The main index file will show a dropdown menu per week with a link to each
weeks report and links to daily reports of each week.
For example, if you run pgBadger as follows based on a daily rotated file:
0 4 * * * /usr/bin/pgbadger -I -q /var/log/postgresql/postgresql.log.1 \
you will have all daily and weekly reports for the full running period.
In this mode pgBadger will create an automatic incremental file in the
output directory, so you dont have to use the -l option unless you want
to change the path of that file. This means that you can run pgBadger in
this mode each day on a log file rotated each week, and it will not count
the log entries twice.
To save disk space you may want to use the -X or --extra-files command line
the output directory. The resources will then be loaded using script and
Using the binary format it is possible to create custom incremental and
cumulative reports. For example, if you want to refresh a pgBadger
report each hour from a daily PostgreSQL log file, you can proceed by
running each hour the following commands:
pgbadger --last-parsed .pgbadger_last_state_file -o sunday/hourX.bin /var/log/pgsql/postgresql-Sun.log
to generate the incremental data files in binary format. And to generate the fresh HTML
report from that binary file:
Or as another example, if you generate one log file per hour and you want
reports to be rebuilt each time the log file is rotated, proceed as
pgbadger -o day1/hour01.bin /var/log/pgsql/pglog/postgresql-2012-03-23_10.log
pgbadger -o day1/hour02.bin /var/log/pgsql/pglog/postgresql-2012-03-23_11.log
pgbadger -o day1/hour03.bin /var/log/pgsql/pglog/postgresql-2012-03-23_12.log
When you want to refresh the HTML report, for example each time after a new binary file
is generated, just do the following:
pgbadger -o day1_report.html day1/*.bin
Adjust the commands to suit your particular needs.
JSON format is good for sharing data with other languages, which makes it
easy to integrate pgBadgers result into other monitoring tools like Cacti
pgBadger is an original work from Gilles Darold.
The pgBadger logo is an original creation of Damien Clochard.
The pgBadger v4.x design comes from the Art is code company.
This web site is a work of Gilles Darold.
pgBadger is maintained by Gilles Darold, the good folks at Dalibo, and every one who wants to contribute.
Many people have contributed to pgBadger, they are all quoted in the Changelog file.
pgBadger is free software distributed under the PostgreSQL Licence.
Copyright (c) 2012-2016, Dalibo
A modified version of the SQL::Beautify Perl Module is embedded in pgBadger
with copyright (C) 2009 by Jonas Kramer and is published under the terms of
the Artistic License 2.0.
|perl v5.20.3 ||PGBADGER (1) ||2016-01-18 |
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