├── graphs ├── cpu.png ├── ram.png ├── proc.png ├── swap.png ├── tasks.png ├── sockets.png ├── contextsw.png ├── iotransfer.png ├── loadaverage.png └── netinterface.png ├── sarviewer.properties ├── plotters ├── gnuplot │ ├── proc.gplot │ ├── contextsw.gplot │ ├── swap.gplot │ ├── iotransfer.gplot │ ├── netinterface.gplot │ ├── cpu.gplot │ ├── loadaverage.gplot │ ├── tasks.gplot │ ├── sockets.gplot │ └── ram.gplot └── matplotlib │ ├── proc.py │ ├── contextsw.py │ ├── swap.py │ ├── netinterface.py │ ├── cpu.py │ ├── loadaverage.py │ ├── iotransfer.py │ ├── tasks.py │ ├── sockets.py │ └── ram.py ├── plotter.sh ├── data ├── proc.dat ├── sockets.dat ├── netinterface.dat ├── swap.dat ├── iotransfer.dat ├── loadaverage.dat ├── cpu.dat └── ram.dat ├── data_collector.sh ├── system_data_reader.sh ├── README.md └── LICENSE /graphs/cpu.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/juliojsb/sarviewer/HEAD/graphs/cpu.png -------------------------------------------------------------------------------- /graphs/ram.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/juliojsb/sarviewer/HEAD/graphs/ram.png -------------------------------------------------------------------------------- /graphs/proc.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/juliojsb/sarviewer/HEAD/graphs/proc.png -------------------------------------------------------------------------------- /graphs/swap.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/juliojsb/sarviewer/HEAD/graphs/swap.png -------------------------------------------------------------------------------- /graphs/tasks.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/juliojsb/sarviewer/HEAD/graphs/tasks.png -------------------------------------------------------------------------------- /graphs/sockets.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/juliojsb/sarviewer/HEAD/graphs/sockets.png -------------------------------------------------------------------------------- /graphs/contextsw.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/juliojsb/sarviewer/HEAD/graphs/contextsw.png -------------------------------------------------------------------------------- /graphs/iotransfer.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/juliojsb/sarviewer/HEAD/graphs/iotransfer.png -------------------------------------------------------------------------------- /graphs/loadaverage.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/juliojsb/sarviewer/HEAD/graphs/loadaverage.png -------------------------------------------------------------------------------- /graphs/netinterface.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/juliojsb/sarviewer/HEAD/graphs/netinterface.png -------------------------------------------------------------------------------- /sarviewer.properties: -------------------------------------------------------------------------------- 1 | # 2 | # sarviewer configuration file 3 | # 4 | 5 | # LC_TIME controls time format. To correctly draw the graphs, we need 24 hour time format 6 | # By default, POSIX. DO NOT CHANGE 7 | export LC_TIME="POSIX" 8 | 9 | # Variable graph_generator controls which scripts are used to generate the graphs 10 | # Possible values: 11 | # gnuplot 12 | # matplotlib 13 | # By default gnuplot 14 | graph_generator="gnuplot" 15 | 16 | # Log dir where sa* files are stored 17 | # By default folder /var/log/sysstat 18 | sysstat_logdir="/var/log/sysstat" 19 | 20 | # Variable network_interface specifies the interface for netinterface statistics graph 21 | # By default, eth0 22 | network_interface="eth0" 23 | 24 | # Default start time to parse statistics 25 | start_time="00:00:00" 26 | 27 | # Default end time to parse statistics 28 | end_time="23:59:59" 29 | -------------------------------------------------------------------------------- /plotters/gnuplot/proc.gplot: -------------------------------------------------------------------------------- 1 | #!/usr/bin/gnuplot 2 | # 3 | # Script :proc.gplot 4 | # Author :Julio Sanz 5 | # Website :www.elarraydejota.com 6 | # Email :juliojosesb@gmail.com 7 | # Description :Script to create a graph about processes created per second 8 | # Dependencies :gnuplot 9 | # Usage :gnuplot proc.gplot 10 | # License :GPLv3 11 | # 12 | 13 | reset 14 | 15 | # Terminal config 16 | set terminal pngcairo enhanced font 'Verdana,8' 17 | set output '../../graphs/proc.png' 18 | set title "Processes" 19 | set key bmargin 20 | 21 | # Line style 22 | set style line 1 lc rgb '#e74c3c' pt 1 ps 1 lt 1 lw 2 # line1 23 | 24 | # Axis configuration 25 | set style line 11 lc rgb '#2c3e50' lt 1 lw 1.5 # Axis line 26 | set border 3 back ls 11 27 | set tics nomirror 28 | set autoscale xy 29 | set xdata time 30 | set timefmt "%H:%M:%S" 31 | set format x "%H:%M" 32 | set xlabel "Time" 33 | set ylabel "Processes" 34 | 35 | # Background grid 36 | set style line 11 lc rgb '#aeb6bf' lt 0 lw 2 37 | set grid back ls 11 38 | 39 | # Begin plotting 40 | plot '../../data/proc.dat' using 1:2 title 'Processes created per second' with l ls 1 41 | -------------------------------------------------------------------------------- /plotters/gnuplot/contextsw.gplot: -------------------------------------------------------------------------------- 1 | #!/usr/bin/gnuplot 2 | # 3 | # Script :contextsw.gplot 4 | # Author :Julio Sanz 5 | # Website :www.elarraydejota.com 6 | # Email :juliojosesb@gmail.com 7 | # Description :Script to create a graph about context switches performed per second 8 | # Dependencies :gnuplot 9 | # Usage :gnuplot contextsw.gplot 10 | # License :GPLv3 11 | # 12 | 13 | reset 14 | 15 | # Terminal config 16 | set terminal pngcairo enhanced font 'Verdana,8' 17 | set output '../../graphs/contextsw.png' 18 | set title "Context switches" 19 | set key bmargin 20 | 21 | # Line style 22 | set style line 1 lc rgb '#e74c3c' pt 1 ps 1 lt 1 lw 2 # line1 23 | set style line 2 lc rgb '#3498db' pt 6 ps 1 lt 1 lw 2 # line2 24 | 25 | # Axis configuration 26 | set style line 11 lc rgb '#2c3e50' lt 1 lw 1.5 # Axis line 27 | set border 3 back ls 11 28 | set tics nomirror 29 | set autoscale xy 30 | set xdata time 31 | set timefmt "%H:%M:%S" 32 | set format x "%H:%M" 33 | set xlabel "Time" 34 | set ylabel "Context switches" 35 | 36 | # Background grid 37 | set style line 11 lc rgb '#aeb6bf' lt 0 lw 2 38 | set grid back ls 11 39 | 40 | # Begin plotting 41 | plot '../../data/proc.dat' using 1:3 title 'Context switches performed per second' with l ls 1 42 | -------------------------------------------------------------------------------- /plotters/gnuplot/swap.gplot: -------------------------------------------------------------------------------- 1 | #!/usr/bin/gnuplot 2 | # 3 | # Script :swap.gplot 4 | # Author :Julio Sanz 5 | # Website :www.elarraydejota.com 6 | # Email :juliojosesb@gmail.com 7 | # Description :Script to create a SWAP usage graph with gnuplot 8 | # Dependencies :gnuplot 9 | # Usage :gnuplot swap.gplot 10 | # License :GPLv3 11 | # 12 | 13 | reset 14 | 15 | # Terminal config 16 | set terminal pngcairo enhanced font 'Verdana,8' 17 | set output '../../graphs/swap.png' 18 | set title "SWAP usage graph" 19 | set key bmargin 20 | 21 | # Lines 22 | set style line 1 lc rgb '#e74c3c' pt 1 ps 1 lt 1 lw 2 # line1 23 | set style line 2 lc rgb '#3498db' pt 6 ps 1 lt 1 lw 2 # line2 24 | 25 | # Axis configuration 26 | set style line 11 lc rgb '#2c3e50' lt 1 lw 1.5 # Axis line 27 | set border 3 back ls 11 28 | set tics nomirror 29 | set autoscale xy 30 | set xdata time 31 | set timefmt "%H:%M:%S" 32 | set format x "%H:%M" 33 | set xlabel "Time" 34 | set ylabel "SWAP (MB)" 35 | 36 | # Background grid 37 | set style line 11 lc rgb '#aeb6bf' lt 0 lw 2 38 | set grid back ls 11 39 | 40 | # Begin plotting 41 | plot '../../data/swap.dat' using 1:($2/1024) title 'Free' with l ls 1, \ 42 | '' using 1:($3/1024) title 'Used' with l ls 2 43 | -------------------------------------------------------------------------------- /plotters/gnuplot/iotransfer.gplot: -------------------------------------------------------------------------------- 1 | #!/usr/bin/gnuplot 2 | # 3 | # Script :iotransfer.gplot 4 | # Author :Julio Sanz 5 | # Website :www.elarraydejota.com 6 | # Email :juliojosesb@gmail.com 7 | # Description :Script to create a IO transfer (blocks written/read per second) graph 8 | # Dependencies :gnuplot 9 | # Usage :gnuplot iotransfer.gplot 10 | # License :GPLv3 11 | # 12 | 13 | reset 14 | 15 | # Terminal config 16 | set terminal pngcairo enhanced font 'Verdana,8' 17 | set output '../../graphs/iotransfer.png' 18 | set title "IO Transfer" 19 | set key bmargin 20 | 21 | # Line style 22 | set style line 1 lc rgb '#e74c3c' pt 1 ps 1 lt 1 lw 2 # line1 23 | set style line 2 lc rgb '#3498db' pt 6 ps 1 lt 1 lw 2 # line2 24 | 25 | # Axis configuration 26 | set style line 11 lc rgb '#2c3e50' lt 1 lw 1.5 # Axis line 27 | set border 3 back ls 11 28 | set tics nomirror 29 | set autoscale xy 30 | set xdata time 31 | set timefmt "%H:%M:%S" 32 | set format x "%H:%M" 33 | set xlabel "Time" 34 | set ylabel "Blocks per second" 35 | 36 | # Background grid 37 | set style line 11 lc rgb '#aeb6bf' lt 0 lw 2 38 | set grid back ls 11 39 | 40 | # Begin plotting 41 | plot '../../data/iotransfer.dat' using 1:5 title 'Blocks read per second' with l ls 1, \ 42 | '' using 1:6 title 'Blocks written per second' with l ls 2 43 | -------------------------------------------------------------------------------- /plotter.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | # 3 | # Script :plotter.sh 4 | # Author :Julio Sanz 5 | # Website :www.elarraydejota.com 6 | # Email :juliojosesb@gmail.com 7 | # Description :Script to generate graphs in the folder graphs/ of this repository 8 | # Dependencies :sar,gnuplot 9 | # Usage :1)Give executable permissions to script -> chmod +x plotter.sh 10 | # 2)Execute script -> ./plotter.sh 11 | # License :GPLv3 12 | # 13 | 14 | # Read sarviewer.properties file 15 | . sarviewer.properties 16 | 17 | if [ $# -ne 0 ];then 18 | echo "This script doesn't accept parameters" 19 | elif [ "$graph_generator" == "gnuplot" ];then 20 | cd plotters/gnuplot 21 | gnuplot loadaverage.gplot 22 | gnuplot tasks.gplot 23 | gnuplot cpu.gplot 24 | gnuplot ram.gplot 25 | gnuplot swap.gplot 26 | gnuplot iotransfer.gplot 27 | gnuplot proc.gplot 28 | gnuplot contextsw.gplot 29 | gnuplot netinterface.gplot 30 | gnuplot sockets.gplot 31 | elif [ "$graph_generator" == "matplotlib" ];then 32 | cd plotters/matplotlib 33 | python loadaverage.py 34 | python tasks.py 35 | python cpu.py 36 | python ram.py 37 | python swap.py 38 | python iotransfer.py 39 | python proc.py 40 | python contextsw.py 41 | python netinterface.py 42 | python sockets.py 43 | else 44 | echo "Variable graph_generator must be \"gnuplot\" or \"matplotlib\", please check sarviewer.properties" 45 | fi -------------------------------------------------------------------------------- /plotters/gnuplot/netinterface.gplot: -------------------------------------------------------------------------------- 1 | #!/usr/bin/gnuplot 2 | # 3 | # Script :netinterface.gplot 4 | # Author :Julio Sanz 5 | # Website :www.elarraydejota.com 6 | # Email :juliojosesb@gmail.com 7 | # Description :Script to create network interface statistics graph with gnuplot 8 | # Dependencies :gnuplot 9 | # Usage :gnuplot netinterface.gplot 10 | # License :GPLv3 11 | # 12 | 13 | reset 14 | 15 | # Graph terminal and general config 16 | set terminal pngcairo enhanced font 'Verdana,8' 17 | set output '../../graphs/netinterface.png' 18 | set title "Network statistics" 19 | set key bmargin 20 | 21 | # Styles for different lines 22 | set style line 1 lc rgb '#009973' pt 1 ps 1 lt 1 lw 2 # line1 23 | set style line 2 lc rgb '#b3b300' pt 6 ps 1 lt 1 lw 2 # line2 24 | 25 | # Axis configuration 26 | set style line 11 lc rgb '#2c3e50' lt 1 lw 1.5 # Axis line 27 | set border 3 back ls 11 28 | set tics nomirror 29 | set autoscale xy 30 | set xdata time 31 | set timefmt "%H:%M:%S" 32 | set format x "%H:%M" 33 | set xlabel "Time" 34 | set ylabel "Kb/s" 35 | 36 | # Background grid 37 | set style line 11 lc rgb '#aeb6bf' lt 0 lw 2 38 | set grid back ls 11 39 | 40 | # Begin plotting 41 | plot '../../data/netinterface.dat' using 1:5 title 'Kilobytes received per second' with l ls 1, \ 42 | '' using 1:6 title 'Kilobytes sent per second' with l ls 2 43 | -------------------------------------------------------------------------------- /plotters/gnuplot/cpu.gplot: -------------------------------------------------------------------------------- 1 | #!/usr/bin/gnuplot 2 | # 3 | # Script :cpu.gplot 4 | # Author :Julio Sanz 5 | # Website :www.elarraydejota.com 6 | # Email :juliojosesb@gmail.com 7 | # Description :Script to create a CPU usage graph with gnuplot 8 | # Dependencies :gnuplot 9 | # Usage :gnuplot cpu.gplot 10 | # License :GPLv3 11 | # 12 | 13 | reset 14 | 15 | # Graph terminal and general config 16 | set terminal pngcairo enhanced font 'Verdana,8' 17 | set output '../../graphs/cpu.png' 18 | set title "CPU usage graph" 19 | set key bmargin 20 | 21 | # Styles for different lines 22 | set style line 1 lc rgb '#e74c3c' pt 1 ps 1 lt 1 lw 2 # line1 23 | set style line 2 lc rgb '#3498db' pt 6 ps 1 lt 1 lw 2 # line2 24 | set style line 3 lc rgb '#28b463' pt 4 ps 1 lt 1 lw 2 # line3 25 | 26 | # Axis configuration 27 | set style line 11 lc rgb '#2c3e50' lt 1 lw 1.5 # Axis line 28 | set border 3 back ls 11 29 | set tics nomirror 30 | set autoscale xy 31 | set xdata time 32 | set timefmt "%H:%M:%S" 33 | set format x "%H:%M" 34 | set xlabel "Time" 35 | set ylabel "CPU %" 36 | 37 | # Background grid 38 | set style line 11 lc rgb '#aeb6bf' lt 0 lw 2 39 | set grid back ls 11 40 | 41 | # Begin plotting 42 | plot '../../data/cpu.dat' using 1:3 title 'User%' with l ls 1, \ 43 | '' using 1:5 title 'System%' with l ls 2, \ 44 | '' using 1:8 title 'Idle%' with l ls 3 45 | -------------------------------------------------------------------------------- /plotters/gnuplot/loadaverage.gplot: -------------------------------------------------------------------------------- 1 | #!/usr/bin/gnuplot 2 | # 3 | # Script :loadaverage.gplot 4 | # Author :Julio Sanz 5 | # Website :www.elarraydejota.com 6 | # Email :juliojosesb@gmail.com 7 | # Description :Script to create a LoadAverage graph with gnuplot 8 | # Dependencies :gnuplot 9 | # Usage :gnuplot loadaverage.gplot 10 | # License :GPLv3 11 | # 12 | 13 | reset 14 | 15 | set terminal pngcairo enhanced font 'Verdana,8' 16 | set output '../../graphs/loadaverage.png' 17 | set title "System load average graph" 18 | set key bmargin 19 | 20 | # Styles for different lines 21 | set style line 1 lc rgb '#e74c3c' pt 1 ps 1 lt 1 lw 2 # line1 22 | set style line 2 lc rgb '#3498db' pt 6 ps 1 lt 1 lw 2 # line2 23 | set style line 3 lc rgb '#28b463' pt 4 ps 1 lt 1 lw 2 # line3 24 | 25 | # Axis configuration 26 | set style line 11 lc rgb '#2c3e50' lt 1 lw 1.5 # Axis line 27 | set border 3 back ls 11 28 | set tics nomirror 29 | set autoscale xy 30 | set xdata time 31 | set timefmt "%H:%M:%S" 32 | set format x "%H:%M" 33 | set xlabel "Time" 34 | set ylabel "Load average" 35 | 36 | # Background grid 37 | set style line 11 lc rgb '#aeb6bf' lt 0 lw 2 38 | set grid back ls 11 39 | 40 | # Begin plotting 41 | plot '../../data/loadaverage.dat' using 1:4 title '1 min' with l ls 1, \ 42 | '' using 1:5 title '5 min' with l ls 2, \ 43 | '' using 1:6 title '15 min' with l ls 3 44 | -------------------------------------------------------------------------------- /plotters/gnuplot/tasks.gplot: -------------------------------------------------------------------------------- 1 | #!/usr/bin/gnuplot 2 | # 3 | # Script :tasks.gplot 4 | # Author :Julio Sanz 5 | # Website :www.elarraydejota.com 6 | # Email :juliojosesb@gmail.com 7 | # Description :Script to create tasks graph with gnuplot 8 | # Dependencies :gnuplot 9 | # Usage :gnuplot tasks.gplot 10 | # License :GPLv3 11 | # 12 | 13 | reset 14 | 15 | set terminal pngcairo enhanced font 'Verdana,8' 16 | set output '../../graphs/tasks.png' 17 | set title "Tasks graph" 18 | set key bmargin 19 | 20 | # Styles for different lines 21 | set style line 1 lc rgb '#e74c3c' pt 1 ps 1 lt 1 lw 2 # line1 22 | set style line 2 lc rgb '#3498db' pt 6 ps 1 lt 1 lw 2 # line2 23 | set style line 3 lc rgb '#28b463' pt 4 ps 1 lt 1 lw 2 # line3 24 | 25 | # Axis configuration 26 | set style line 11 lc rgb '#2c3e50' lt 1 lw 1.5 # Axis line 27 | set border 3 back ls 11 28 | set tics nomirror 29 | set autoscale xy 30 | set xdata time 31 | set timefmt "%H:%M:%S" 32 | set format x "%H:%M" 33 | set xlabel "Time" 34 | set ylabel "Tasks" 35 | 36 | # Background grid 37 | set style line 11 lc rgb '#aeb6bf' lt 0 lw 2 38 | set grid back ls 11 39 | 40 | # Begin plotting 41 | plot '../../data/loadaverage.dat' using 1:2 title 'Tasks in run queue' with l ls 1, \ 42 | '' using 1:3 title 'Total active tasks (processes + threads)' with l ls 2, \ 43 | '' using 1:7 title 'Blocked tasks' with l ls 3 44 | -------------------------------------------------------------------------------- /plotters/gnuplot/sockets.gplot: -------------------------------------------------------------------------------- 1 | #!/usr/bin/gnuplot 2 | # 3 | # Script :sockets.gplot 4 | # Author :Julio Sanz 5 | # Website :www.elarraydejota.com 6 | # Email :juliojosesb@gmail.com 7 | # Description :Script to create sockets statistics graph with gnuplot 8 | # Dependencies :gnuplot 9 | # Usage :gnuplot sockets.gplot 10 | # License :GPLv3 11 | # 12 | 13 | reset 14 | 15 | # Graph terminal and general config 16 | set terminal pngcairo enhanced font 'Verdana,8' 17 | set output '../../graphs/sockets.png' 18 | set title "Sockets" 19 | set key bmargin 20 | 21 | # Styles for different lines 22 | set style line 1 lc rgb '#ff9933' pt 1 ps 1 lt 1 lw 2 # line1 23 | set style line 2 lc rgb '#66ccff' pt 1 ps 1 lt 1 lw 2 # line2 24 | set style line 3 lc rgb '#009933' pt 1 ps 1 lt 1 lw 2 # line3 25 | set style line 4 lc rgb '#cc3300' pt 1 ps 1 lt 1 lw 2 # line4 26 | 27 | # Axis configuration 28 | set style line 11 lc rgb '#2c3e50' lt 1 lw 1.5 # Axis line 29 | set border 3 back ls 11 30 | set tics nomirror 31 | set autoscale xy 32 | set xdata time 33 | set timefmt "%H:%M:%S" 34 | set format x "%H:%M" 35 | set xlabel "Time" 36 | set ylabel "Number of sockets" 37 | 38 | # Background grid 39 | set style line 11 lc rgb '#aeb6bf' lt 0 lw 2 40 | set grid back ls 11 41 | 42 | # Begin plotting 43 | plot '../../data/sockets.dat' using 1:($3+$7) title 'Total TCP sockets' with l ls 1, \ 44 | '' using 1:3 title 'TCP sockets in use' with l ls 2, \ 45 | '' using 1:4 title 'UDP sockets in use' with l ls 3, \ 46 | '' using 1:7 title 'TCP sockets in TIME WAIT state' with l ls 4 47 | -------------------------------------------------------------------------------- /plotters/gnuplot/ram.gplot: -------------------------------------------------------------------------------- 1 | #!/usr/bin/gnuplot 2 | # 3 | # Script :ram.gplot 4 | # Author :Julio Sanz 5 | # Website :www.elarraydejota.com 6 | # Email :juliojosesb@gmail.com 7 | # Description :Script to create a RAM usage graph with gnuplot 8 | # Dependencies :gnuplot 9 | # Usage :gnuplot ram.gplot 10 | # License :GPLv3 11 | # 12 | 13 | reset 14 | 15 | # Terminal config 16 | set terminal pngcairo enhanced font 'Verdana,8' 17 | set output '../../graphs/ram.png' 18 | set title "RAM usage graph" 19 | set key bmargin 20 | 21 | # Line style 22 | set style line 1 lc rgb '#e74c3c' pt 1 ps 1 lt 1 lw 2 # line1 23 | set style line 2 lc rgb '#3498db' pt 6 ps 1 lt 1 lw 2 # line2 24 | set style line 3 lc rgb '#28b463' pt 4 ps 1 lt 1 lw 2 # line3 25 | set style line 4 lc rgb '#f5b041' pt 4 ps 1 lt 1 lw 2 # line4 26 | 27 | # Axis configuration 28 | set style line 11 lc rgb '#2c3e50' lt 1 lw 1.5 # Axis line 29 | set border 3 back ls 11 30 | set tics nomirror 31 | set autoscale xy 32 | set xdata time 33 | set timefmt "%H:%M:%S" 34 | set format x "%H:%M" 35 | set xlabel "Time" 36 | set ylabel "Memory (MB)" 37 | 38 | # Background grid 39 | set style line 11 lc rgb '#aeb6bf' lt 0 lw 2 40 | set grid back ls 11 41 | 42 | # Begin plotting 43 | # Real free RAM = Free + cached + buffers 44 | # Real used RAM = Used - cached - buffers - free 45 | plot '../../data/ram.dat' using 1:($2/1024+$5/1024+$6/1024) title 'Free' with l ls 1, \ 46 | '' using 1:($5/1024) title 'Buffers' with l ls 2, \ 47 | '' using 1:($6/1024) title 'Cached' with l ls 3, \ 48 | '' using 1:($3/1024-$5/1024-$6/1024) title 'Used' with l ls 4 49 | -------------------------------------------------------------------------------- /plotters/matplotlib/proc.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python2 2 | """ 3 | Author :Julio Sanz 4 | Website :www.elarraydejota.com 5 | Email :juliojosesb@gmail.com 6 | Description :Script to create a graph about processes created per second 7 | Dependencies :Python 2.x, matplotlib 8 | Usage :python proc.py 9 | License :GPLv3 10 | """ 11 | 12 | import matplotlib 13 | matplotlib.use('Agg') 14 | import matplotlib.pyplot as plt 15 | import csv 16 | from datetime import datetime 17 | import matplotlib.dates 18 | 19 | # ====================== 20 | # VARIABLES 21 | # ====================== 22 | 23 | # Aesthetic parameters 24 | plt.rcParams.update({'font.size': 8}) 25 | plt.rcParams['lines.linewidth'] = 1.5 26 | time_format = matplotlib.dates.DateFormatter('%H:%M:%S') 27 | plt.gca().xaxis.set_major_formatter(time_format) 28 | plt.gcf().autofmt_xdate() 29 | 30 | # Time (column 0) 31 | x = [] 32 | # Data arrays 33 | procs_per_second = [] 34 | 35 | # ====================== 36 | # FUNCTIONS 37 | # ====================== 38 | 39 | def generate_graph(): 40 | with open('../../data/proc.dat', 'r') as csvfile: 41 | data_source = csv.reader(csvfile, delimiter=' ', skipinitialspace=True) 42 | for row in data_source: 43 | # [0] column is a time column 44 | # Convert to datetime data type 45 | a = datetime.strptime((row[0]),'%H:%M:%S') 46 | x.append((a)) 47 | # The remaining columns contain data 48 | procs_per_second.append(row[1]) 49 | 50 | # Plot lines 51 | plt.plot(x,procs_per_second, label='Processes created per second', color='r', antialiased=True) 52 | 53 | # Graph properties 54 | plt.xlabel('Time',fontstyle='italic') 55 | plt.ylabel('Processes',fontstyle='italic') 56 | plt.title('Processes created per second graph') 57 | plt.grid(linewidth=0.4, antialiased=True) 58 | plt.legend(loc='upper center', bbox_to_anchor=(0.5, -0.15), ncol=2, fancybox=True, shadow=True) 59 | plt.autoscale(True) 60 | 61 | # Graph saved to PNG file 62 | plt.savefig('../../graphs/proc.png', bbox_inches='tight') 63 | #plt.show() 64 | 65 | # ====================== 66 | # MAIN 67 | # ====================== 68 | 69 | if __name__ == '__main__': 70 | generate_graph() -------------------------------------------------------------------------------- /plotters/matplotlib/contextsw.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python2 2 | """ 3 | Author :Julio Sanz 4 | Website :www.elarraydejota.com 5 | Email :juliojosesb@gmail.com 6 | Description :Script to create a graph about context switches performed per second 7 | Dependencies :Python 2.x, matplotlib 8 | Usage :python contextsw.py 9 | License :GPLv3 10 | """ 11 | 12 | import matplotlib 13 | matplotlib.use('Agg') 14 | import matplotlib.pyplot as plt 15 | import csv 16 | from datetime import datetime 17 | import matplotlib.dates 18 | 19 | # ====================== 20 | # VARIABLES 21 | # ====================== 22 | 23 | # Aesthetic parameters 24 | plt.rcParams.update({'font.size': 8}) 25 | plt.rcParams['lines.linewidth'] = 1.5 26 | time_format = matplotlib.dates.DateFormatter('%H:%M:%S') 27 | plt.gca().xaxis.set_major_formatter(time_format) 28 | plt.gcf().autofmt_xdate() 29 | 30 | # Time (column 0) 31 | x = [] 32 | # Data arrays 33 | contextsw_per_second = [] 34 | 35 | # ====================== 36 | # FUNCTIONS 37 | # ====================== 38 | 39 | def generate_graph(): 40 | with open('../../data/proc.dat', 'r') as csvfile: 41 | data_source = csv.reader(csvfile, delimiter=' ', skipinitialspace=True) 42 | for row in data_source: 43 | # [0] column is a time column 44 | # Convert to datetime data type 45 | a = datetime.strptime((row[0]),'%H:%M:%S') 46 | x.append((a)) 47 | # The remaining columns contain data 48 | contextsw_per_second.append(row[2]) 49 | 50 | # Plot lines 51 | plt.plot(x,contextsw_per_second, label='Context switches performed per second', color='r', antialiased=True) 52 | 53 | # Graph properties 54 | plt.xlabel('Time',fontstyle='italic') 55 | plt.ylabel('Context switches',fontstyle='italic') 56 | plt.title('Context switches') 57 | plt.grid(linewidth=0.4, antialiased=True) 58 | plt.legend(loc='upper center', bbox_to_anchor=(0.5, -0.15), ncol=2, fancybox=True, shadow=True) 59 | plt.autoscale(True) 60 | 61 | # Graph saved to PNG file 62 | plt.savefig('../../graphs/contextsw.png', bbox_inches='tight') 63 | #plt.show() 64 | 65 | # ====================== 66 | # MAIN 67 | # ====================== 68 | 69 | if __name__ == '__main__': 70 | generate_graph() -------------------------------------------------------------------------------- /plotters/matplotlib/swap.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python2 2 | """ 3 | Author :Julio Sanz 4 | Website :www.elarraydejota.com 5 | Email :juliojosesb@gmail.com 6 | Description :Script to create a graph about swap usage 7 | Dependencies :Python 2.x, matplotlib 8 | Usage :python swap.py 9 | License :GPLv3 10 | """ 11 | 12 | import matplotlib 13 | matplotlib.use('Agg') 14 | import matplotlib.pyplot as plt 15 | import csv 16 | from datetime import datetime 17 | import matplotlib.dates 18 | 19 | # ====================== 20 | # VARIABLES 21 | # ====================== 22 | 23 | # Aesthetic parameters 24 | plt.rcParams.update({'font.size': 8}) 25 | plt.rcParams['lines.linewidth'] = 1.5 26 | time_format = matplotlib.dates.DateFormatter('%H:%M:%S') 27 | plt.gca().xaxis.set_major_formatter(time_format) 28 | plt.gcf().autofmt_xdate() 29 | 30 | # Time (column 0) 31 | x = [] 32 | # Data arrays 33 | swap_free = [] 34 | swap_used = [] 35 | 36 | # ====================== 37 | # FUNCTIONS 38 | # ====================== 39 | 40 | def generate_graph(): 41 | with open('../../data/swap.dat', 'r') as csvfile: 42 | data_source = csv.reader(csvfile, delimiter=' ', skipinitialspace=True) 43 | for row in data_source: 44 | # [0] column is a time column 45 | # Convert to datetime data type 46 | a = datetime.strptime((row[0]),'%H:%M:%S') 47 | x.append((a)) 48 | # The remaining columns contain data 49 | swap_free.append(str(int(row[1])/1024)) 50 | swap_used.append(str(int(row[2])/1024)) 51 | 52 | 53 | # Plot lines 54 | plt.plot(x,swap_used, label='Used', color='r', antialiased=True) 55 | plt.plot(x,swap_free, label='Free', color='g', antialiased=True) 56 | 57 | # Graph properties 58 | plt.xlabel('Time',fontstyle='italic') 59 | plt.ylabel('SWAP (MB)',fontstyle='italic') 60 | plt.title('SWAP usage graph') 61 | plt.grid(linewidth=0.4, antialiased=True) 62 | plt.legend(loc='upper center', bbox_to_anchor=(0.5, -0.15), ncol=2, fancybox=True, shadow=True) 63 | plt.autoscale(True) 64 | 65 | # Graph saved to PNG file 66 | plt.savefig('../../graphs/swap.png', bbox_inches='tight') 67 | #plt.show() 68 | 69 | # ====================== 70 | # MAIN 71 | # ====================== 72 | 73 | if __name__ == '__main__': 74 | generate_graph() -------------------------------------------------------------------------------- /plotters/matplotlib/netinterface.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python2 2 | """ 3 | Author :Julio Sanz 4 | Website :www.elarraydejota.com 5 | Email :juliojosesb@gmail.com 6 | Description :Generate net interface graph from netinterface.dat file 7 | Dependencies :Python 2.x, matplotlib 8 | Usage :python netinterface.py 9 | License :GPLv3 10 | """ 11 | 12 | import matplotlib 13 | matplotlib.use('Agg') 14 | import matplotlib.pyplot as plt 15 | import csv 16 | from datetime import datetime 17 | import matplotlib.dates 18 | 19 | # ====================== 20 | # VARIABLES 21 | # ====================== 22 | 23 | # Aesthetic parameters 24 | plt.rcParams.update({'font.size': 8}) 25 | plt.rcParams['lines.linewidth'] = 1.5 26 | time_format = matplotlib.dates.DateFormatter('%H:%M:%S') 27 | plt.gca().xaxis.set_major_formatter(time_format) 28 | plt.gcf().autofmt_xdate() 29 | 30 | # Time (column 0) 31 | x = [] 32 | # Data arrays 33 | r_kb = [] 34 | s_kb = [] 35 | 36 | # ====================== 37 | # FUNCTIONS 38 | # ====================== 39 | 40 | def generate_graph(): 41 | with open('../../data/netinterface.dat', 'r') as csvfile: 42 | data_source = csv.reader(csvfile, delimiter=' ', skipinitialspace=True) 43 | for row in data_source: 44 | # [0] column is a time column 45 | # Convert to datetime data type 46 | a = datetime.strptime((row[0]),'%H:%M:%S') 47 | x.append((a)) 48 | # The remaining columns contain data 49 | r_kb.append(row[4]) 50 | s_kb.append(row[5]) 51 | 52 | # Plot lines 53 | plt.plot(x,r_kb, label='Kilobytes received per second', color='#009973', antialiased=True) 54 | plt.plot(x,s_kb, label='Kilobytes sent per second', color='#b3b300', antialiased=True) 55 | 56 | # Graph properties 57 | plt.xlabel('Time',fontstyle='italic') 58 | plt.ylabel('Kb/s',fontstyle='italic') 59 | plt.title('Network statistics') 60 | plt.grid(linewidth=0.4, antialiased=True) 61 | plt.legend(loc='upper center', bbox_to_anchor=(0.5, -0.18), ncol=2, fancybox=True, shadow=True) 62 | plt.autoscale(True) 63 | 64 | # Graph saved to PNG file 65 | plt.savefig('../../graphs/netinterface.png', bbox_inches='tight') 66 | #plt.show() 67 | 68 | # ====================== 69 | # MAIN 70 | # ====================== 71 | 72 | if __name__ == '__main__': 73 | generate_graph() -------------------------------------------------------------------------------- /plotters/matplotlib/cpu.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python2 2 | """ 3 | Author :Julio Sanz 4 | Website :www.elarraydejota.com 5 | Email :juliojosesb@gmail.com 6 | Description :Generate CPU graph from cpu.dat file 7 | Dependencies :Python 2.x, matplotlib 8 | Usage :python cpu.py 9 | License :GPLv3 10 | """ 11 | 12 | import matplotlib 13 | matplotlib.use('Agg') 14 | import matplotlib.pyplot as plt 15 | import csv 16 | from datetime import datetime 17 | import matplotlib.dates 18 | 19 | # ====================== 20 | # VARIABLES 21 | # ====================== 22 | 23 | # Aesthetic parameters 24 | plt.rcParams.update({'font.size': 8}) 25 | plt.rcParams['lines.linewidth'] = 1.5 26 | time_format = matplotlib.dates.DateFormatter('%H:%M:%S') 27 | plt.gca().xaxis.set_major_formatter(time_format) 28 | plt.gcf().autofmt_xdate() 29 | 30 | # Time (column 0) 31 | x = [] 32 | # Data arrays 33 | user_cpu = [] 34 | system_cpu = [] 35 | idle_cpu = [] 36 | 37 | # ====================== 38 | # FUNCTIONS 39 | # ====================== 40 | 41 | def generate_graph(): 42 | with open('../../data/cpu.dat', 'r') as csvfile: 43 | data_source = csv.reader(csvfile, delimiter=' ', skipinitialspace=True) 44 | for row in data_source: 45 | # [0] column is a time column 46 | # Convert to datetime data type 47 | a = datetime.strptime((row[0]),'%H:%M:%S') 48 | x.append((a)) 49 | # The remaining columns contain data 50 | user_cpu.append(row[2]) 51 | system_cpu.append(row[4]) 52 | idle_cpu.append(row[7]) 53 | 54 | # Plot lines 55 | plt.plot(x,user_cpu, label='User %', color='g', antialiased=True) 56 | plt.plot(x,system_cpu, label='System %', color='r', antialiased=True) 57 | plt.plot(x,idle_cpu, label='Idle %', color='b', antialiased=True) 58 | 59 | # Graph properties 60 | plt.xlabel('Time',fontstyle='italic') 61 | plt.ylabel('CPU %',fontstyle='italic') 62 | plt.title('CPU usage graph') 63 | plt.grid(linewidth=0.4, antialiased=True) 64 | plt.legend(loc='upper center', bbox_to_anchor=(0.5, -0.15), ncol=2, fancybox=True, shadow=True) 65 | plt.autoscale(True) 66 | 67 | # Graph saved to PNG file 68 | plt.savefig('../../graphs/cpu.png', bbox_inches='tight') 69 | #plt.show() 70 | 71 | # ====================== 72 | # MAIN 73 | # ====================== 74 | 75 | if __name__ == '__main__': 76 | generate_graph() -------------------------------------------------------------------------------- /plotters/matplotlib/loadaverage.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python2 2 | """ 3 | Author :Julio Sanz 4 | Website :www.elarraydejota.com 5 | Email :juliojosesb@gmail.com 6 | Description :Generate Load Average graph from loadaverage.dat file 7 | Dependencies :Python 2.x, matplotlib 8 | Usage :python loadaverage.py 9 | License :GPLv3 10 | """ 11 | 12 | import matplotlib 13 | matplotlib.use('Agg') 14 | import matplotlib.pyplot as plt 15 | import csv 16 | from datetime import datetime 17 | import matplotlib.dates 18 | 19 | # ====================== 20 | # VARIABLES 21 | # ====================== 22 | 23 | # Aesthetic parameters 24 | plt.rcParams.update({'font.size': 8}) 25 | plt.rcParams['lines.linewidth'] = 1.5 26 | time_format = matplotlib.dates.DateFormatter('%H:%M:%S') 27 | plt.gca().xaxis.set_major_formatter(time_format) 28 | plt.gcf().autofmt_xdate() 29 | 30 | # Time (column 0) 31 | x = [] 32 | # Data arrays 33 | m1 = [] 34 | m5 = [] 35 | m15 = [] 36 | 37 | # ====================== 38 | # FUNCTIONS 39 | # ====================== 40 | 41 | def generate_graph(): 42 | with open('../../data/loadaverage.dat', 'r') as csvfile: 43 | data_source = csv.reader(csvfile, delimiter=' ', skipinitialspace=True) 44 | for row in data_source: 45 | # [0] column is a time column 46 | # Convert to datetime data type 47 | a = datetime.strptime((row[0]),'%H:%M:%S') 48 | x.append((a)) 49 | # The remaining columns contain data 50 | m1.append(row[3]) 51 | m5.append(row[4]) 52 | m15.append(row[5]) 53 | 54 | # Plot lines 55 | plt.plot(x,m1, label='1 min', color='g', antialiased=True) 56 | plt.plot(x,m5, label='5 min', color='r', antialiased=True) 57 | plt.plot(x,m15, label='15 min', color='b', antialiased=True) 58 | 59 | # Graph properties 60 | plt.xlabel('Time',fontstyle='italic') 61 | plt.ylabel('Load average',fontstyle='italic') 62 | plt.title('Load average graph') 63 | plt.grid(linewidth=0.4, antialiased=True) 64 | plt.legend(loc='upper center', bbox_to_anchor=(0.5, -0.15), ncol=2, fancybox=True, shadow=True) 65 | plt.autoscale(True) 66 | 67 | # Graph saved to PNG file 68 | plt.savefig('../../graphs/loadaverage.png', bbox_inches='tight') 69 | #plt.show() 70 | 71 | # ====================== 72 | # MAIN 73 | # ====================== 74 | 75 | if __name__ == '__main__': 76 | generate_graph() -------------------------------------------------------------------------------- /plotters/matplotlib/iotransfer.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python2 2 | """ 3 | Author :Julio Sanz 4 | Website :www.elarraydejota.com 5 | Email :juliojosesb@gmail.com 6 | Description :Script to create a IO transfer (blocks written/read per second) graph 7 | Dependencies :Python 2.x, matplotlib 8 | Usage :python iotransfer.py 9 | License :GPLv3 10 | """ 11 | 12 | import matplotlib 13 | matplotlib.use('Agg') 14 | import matplotlib.pyplot as plt 15 | import csv 16 | from datetime import datetime 17 | import matplotlib.dates 18 | 19 | # ====================== 20 | # VARIABLES 21 | # ====================== 22 | 23 | # Aesthetic parameters 24 | plt.rcParams.update({'font.size': 8}) 25 | plt.rcParams['lines.linewidth'] = 1.5 26 | time_format = matplotlib.dates.DateFormatter('%H:%M:%S') 27 | plt.gca().xaxis.set_major_formatter(time_format) 28 | plt.gcf().autofmt_xdate() 29 | 30 | # Time (column 0) 31 | x = [] 32 | # Data arrays 33 | b_read_second = [] 34 | b_written_second = [] 35 | 36 | # ====================== 37 | # FUNCTIONS 38 | # ====================== 39 | 40 | def generate_graph(): 41 | with open('../../data/iotransfer.dat', 'r') as csvfile: 42 | data_source = csv.reader(csvfile, delimiter=' ', skipinitialspace=True) 43 | for row in data_source: 44 | # [0] column is a time column 45 | # Convert to datetime data type 46 | a = datetime.strptime((row[0]),'%H:%M:%S') 47 | x.append((a)) 48 | # The remaining columns contain data 49 | b_read_second.append(row[4]) 50 | b_written_second.append(row[5]) 51 | 52 | # Plot lines 53 | plt.plot(x,b_read_second, label='Blocks read per second', color='r', antialiased=True) 54 | plt.plot(x,b_written_second, label='Blocks written per second', color='g', antialiased=True) 55 | 56 | # Graph properties 57 | plt.xlabel('Time',fontstyle='italic') 58 | plt.ylabel('Blocks per second',fontstyle='italic') 59 | plt.title('IO Transfer graph') 60 | plt.grid(linewidth=0.4, antialiased=True) 61 | plt.legend(loc='upper center', bbox_to_anchor=(0.5, -0.15), ncol=2, fancybox=True, shadow=True) 62 | plt.autoscale(True) 63 | 64 | # Graph saved to PNG file 65 | plt.savefig('../../graphs/iotransfer.png', bbox_inches='tight') 66 | #plt.show() 67 | 68 | # ====================== 69 | # MAIN 70 | # ====================== 71 | 72 | if __name__ == '__main__': 73 | generate_graph() -------------------------------------------------------------------------------- /plotters/matplotlib/tasks.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python2 2 | """ 3 | Author :Julio Sanz 4 | Website :www.elarraydejota.com 5 | Email :juliojosesb@gmail.com 6 | Description :Generate tasks graph from loadaverage.dat file 7 | Dependencies :Python 2.x, matplotlib 8 | Usage :python tasks.py 9 | License :GPLv3 10 | """ 11 | 12 | import matplotlib 13 | matplotlib.use('Agg') 14 | import matplotlib.pyplot as plt 15 | import csv 16 | from datetime import datetime 17 | import matplotlib.dates 18 | 19 | # ====================== 20 | # VARIABLES 21 | # ====================== 22 | 23 | # Aesthetic parameters 24 | plt.rcParams.update({'font.size': 8}) 25 | plt.rcParams['lines.linewidth'] = 1.5 26 | time_format = matplotlib.dates.DateFormatter('%H:%M:%S') 27 | plt.gca().xaxis.set_major_formatter(time_format) 28 | plt.gcf().autofmt_xdate() 29 | 30 | # Time (column 0) 31 | x = [] 32 | # Data arrays 33 | t_run_queue = [] 34 | t_total = [] 35 | t_blocked = [] 36 | 37 | # ====================== 38 | # FUNCTIONS 39 | # ====================== 40 | 41 | def generate_graph(): 42 | with open('../../data/loadaverage.dat', 'r') as csvfile: 43 | data_source = csv.reader(csvfile, delimiter=' ', skipinitialspace=True) 44 | for row in data_source: 45 | # [0] column is a time column 46 | # Convert to datetime data type 47 | a = datetime.strptime((row[0]),'%H:%M:%S') 48 | x.append((a)) 49 | # The remaining columns contain data 50 | t_run_queue.append(row[1]) 51 | t_total.append(row[2]) 52 | t_blocked.append(row[6]) 53 | 54 | # Plot lines 55 | plt.plot(x,t_run_queue, label='Tasks in run queue', color='g', antialiased=True) 56 | plt.plot(x,t_total, label='Total active tasks (processes + threads)', color='r', antialiased=True) 57 | plt.plot(x,t_blocked, label='Blocked tasks', color='m', antialiased=True) 58 | 59 | # Graph properties 60 | plt.xlabel('Time',fontstyle='italic') 61 | plt.ylabel('Tasks',fontstyle='italic') 62 | plt.title('Tasks graph') 63 | plt.grid(linewidth=0.4, antialiased=True) 64 | plt.legend(loc='upper center', bbox_to_anchor=(0.5, -0.15), ncol=2, fancybox=True, shadow=True) 65 | plt.autoscale(True) 66 | 67 | # Graph saved to PNG file 68 | plt.savefig('../../graphs/tasks.png', bbox_inches='tight') 69 | #plt.show() 70 | 71 | # ====================== 72 | # MAIN 73 | # ====================== 74 | 75 | if __name__ == '__main__': 76 | generate_graph() -------------------------------------------------------------------------------- /plotters/matplotlib/sockets.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python2 2 | """ 3 | Author :Julio Sanz 4 | Website :www.elarraydejota.com 5 | Email :juliojosesb@gmail.com 6 | Description :Generate sockets graph from sockets.dat file 7 | Dependencies :Python 2.x, matplotlib 8 | Usage :python sockets.py 9 | License :GPLv3 10 | """ 11 | 12 | import matplotlib 13 | matplotlib.use('Agg') 14 | import matplotlib.pyplot as plt 15 | import csv 16 | from datetime import datetime 17 | import matplotlib.dates 18 | 19 | # ====================== 20 | # VARIABLES 21 | # ====================== 22 | 23 | # Aesthetic parameters 24 | plt.rcParams.update({'font.size': 8}) 25 | plt.rcParams['lines.linewidth'] = 1.5 26 | time_format = matplotlib.dates.DateFormatter('%H:%M:%S') 27 | plt.gca().xaxis.set_major_formatter(time_format) 28 | plt.gcf().autofmt_xdate() 29 | 30 | # Time (column 0) 31 | x = [] 32 | # Data arrays 33 | t_tcp = [] 34 | t_tcp_use = [] 35 | t_udp_use = [] 36 | t_tcp_time_wait = [] 37 | 38 | # ====================== 39 | # FUNCTIONS 40 | # ====================== 41 | 42 | def generate_graph(): 43 | with open('../../data/sockets.dat', 'r') as csvfile: 44 | data_source = csv.reader(csvfile, delimiter=' ', skipinitialspace=True) 45 | for row in data_source: 46 | # [0] column is a time column 47 | # Convert to datetime data type 48 | a = datetime.strptime((row[0]),'%H:%M:%S') 49 | x.append((a)) 50 | # The remaining columns contain data 51 | t_tcp.append(str((int(row[2]))+(int(row[6])))) 52 | t_tcp_use.append(row[2]) 53 | t_udp_use.append(row[3]) 54 | t_tcp_time_wait.append(row[6]) 55 | 56 | # Plot lines 57 | plt.plot(x,t_tcp, label='Total TCP sockets', color='#ff9933', antialiased=True) 58 | plt.plot(x,t_tcp_use, label='TCP sockets in use', color='#66ccff', antialiased=True) 59 | plt.plot(x,t_udp_use, label='UDP sockets in use', color='#009933', antialiased=True) 60 | plt.plot(x,t_tcp_time_wait, label='TCP sockets in TIME WAIT state', color='#cc3300', antialiased=True) 61 | 62 | # Graph properties 63 | plt.xlabel('Time',fontstyle='italic') 64 | plt.ylabel('Number of sockets',fontstyle='italic') 65 | plt.title('Sockets') 66 | plt.grid(linewidth=0.4, antialiased=True) 67 | plt.legend(loc='upper center', bbox_to_anchor=(0.5, -0.20), ncol=2, fancybox=True, shadow=True) 68 | plt.autoscale(True) 69 | 70 | # Graph saved to PNG file 71 | plt.savefig('../../graphs/sockets.png', bbox_inches='tight') 72 | #plt.show() 73 | 74 | # ====================== 75 | # MAIN 76 | # ====================== 77 | 78 | if __name__ == '__main__': 79 | generate_graph() -------------------------------------------------------------------------------- /plotters/matplotlib/ram.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python2 2 | """ 3 | Author :Julio Sanz 4 | Website :www.elarraydejota.com 5 | Email :juliojosesb@gmail.com 6 | Description :Generate RAM graph from ram.dat file 7 | Dependencies :Python 2.x, matplotlib 8 | Usage :python ram.py 9 | License :GPLv3 10 | """ 11 | 12 | import matplotlib 13 | matplotlib.use('Agg') 14 | import matplotlib.pyplot as plt 15 | import csv 16 | from datetime import datetime 17 | import matplotlib.dates 18 | 19 | # ====================== 20 | # VARIABLES 21 | # ====================== 22 | 23 | # Aesthetic parameters 24 | plt.rcParams.update({'font.size': 8}) 25 | plt.rcParams['lines.linewidth'] = 1.5 26 | time_format = matplotlib.dates.DateFormatter('%H:%M:%S') 27 | plt.gca().xaxis.set_major_formatter(time_format) 28 | plt.gcf().autofmt_xdate() 29 | 30 | # Time (column 0) 31 | x = [] 32 | # Memory data arrays 33 | free_mem = [] 34 | used_mem = [] 35 | buffer_mem = [] 36 | cached_mem = [] 37 | 38 | # ====================== 39 | # FUNCTIONS 40 | # ====================== 41 | 42 | def generate_graph(): 43 | with open('../../data/ram.dat', 'r') as csvfile: 44 | data_source = csv.reader(csvfile, delimiter=' ', skipinitialspace=True) 45 | for row in data_source: 46 | # [0] column is a time column 47 | # Convert to datetime data type 48 | a = datetime.strptime((row[0]),'%H:%M:%S') 49 | x.append((a)) 50 | # The remaining columns contain data 51 | free_mem.append(str((int(row[1])/1024)+(int(row[4])/1024)+(int(row[5])/1024))) 52 | used_mem.append(str((int(row[2])/1024)-(int(row[4])/1024)-(int(row[5])/1024))) 53 | buffer_mem.append(str(int(row[4])/1024)) 54 | cached_mem.append(str(int(row[5])/1024)) 55 | 56 | # Plot lines 57 | plt.plot(x,free_mem, label='Free', color='g', antialiased=True) 58 | plt.plot(x,used_mem, label='Used', color='r', antialiased=True) 59 | plt.plot(x,buffer_mem, label='Buffer', color='b', antialiased=True) 60 | plt.plot(x,cached_mem, label='Cached', color='c', antialiased=True) 61 | 62 | # Graph properties 63 | plt.xlabel('Time',fontstyle='italic') 64 | plt.ylabel('Memory (MB)',fontstyle='italic') 65 | plt.title('RAM usage graph') 66 | plt.grid(linewidth=0.4, antialiased=True) 67 | plt.legend(loc='upper center', bbox_to_anchor=(0.5, -0.15), ncol=2, fancybox=True, shadow=True) 68 | plt.autoscale(True) 69 | 70 | # Graph saved to PNG file 71 | plt.savefig('../../graphs/ram.png', bbox_inches='tight') 72 | #plt.show() 73 | 74 | # ====================== 75 | # MAIN 76 | # ====================== 77 | 78 | if __name__ == '__main__': 79 | generate_graph() -------------------------------------------------------------------------------- /data/proc.dat: -------------------------------------------------------------------------------- 1 | 20:02:54 0.00 593.50 2 | 20:02:56 0.50 1782.50 3 | 20:02:58 57.00 2444.50 4 | 20:03:00 6.00 1501.00 5 | 20:03:02 0.50 1236.00 6 | 20:03:04 0.00 1063.00 7 | 20:03:06 0.50 881.00 8 | 20:03:08 0.00 992.00 9 | 20:03:10 3.00 2237.00 10 | 20:03:12 40.00 14103.00 11 | 20:03:14 6.00 6154.50 12 | 20:03:16 2.50 5010.50 13 | 20:03:18 0.50 3409.50 14 | 20:03:20 0.00 2894.50 15 | 20:03:22 0.50 3606.50 16 | 20:03:24 0.00 2347.50 17 | 20:03:26 0.50 1558.00 18 | 20:03:28 0.00 1999.00 19 | 20:03:30 0.00 4105.00 20 | 20:03:32 3.50 3254.00 21 | 20:03:34 2.50 301308.00 22 | 20:03:36 5.00 118126.50 23 | 20:03:38 0.00 2838.00 24 | 20:03:40 5.00 274918.50 25 | 20:03:42 1.50 120408.50 26 | 20:03:44 0.00 374331.50 27 | 20:03:46 0.50 5179.50 28 | 20:03:48 0.00 6234.50 29 | 20:03:50 0.00 5373.00 30 | 20:03:52 4.00 5375.00 31 | 20:03:54 0.00 6883.00 32 | 20:03:56 0.50 5168.50 33 | 20:03:58 0.00 5856.50 34 | 20:04:00 0.00 15670.50 35 | 20:04:02 0.50 16869.50 36 | 20:04:04 4.50 16197.00 37 | 20:04:06 1.00 16740.50 38 | 20:04:08 0.00 15018.00 39 | 20:04:10 0.00 15729.00 40 | 20:04:12 1.00 20297.50 41 | 20:04:14 0.50 14469.50 42 | 20:04:16 0.50 11214.50 43 | 20:04:18 0.00 10384.50 44 | 20:04:20 0.00 11104.50 45 | 20:04:22 0.50 10534.00 46 | 20:04:24 0.00 10928.00 47 | 20:04:26 0.50 10040.00 48 | 20:04:28 0.00 11449.00 49 | 20:04:30 0.50 13503.00 50 | 20:04:32 0.50 13275.00 51 | 20:04:34 0.00 13058.50 52 | 20:04:36 1.00 11354.50 53 | 20:04:38 0.00 9414.50 54 | 20:04:40 0.00 108195.00 55 | 20:04:42 0.50 11666.50 56 | 20:04:44 0.00 11873.00 57 | 20:04:46 0.50 9637.00 58 | 20:04:48 0.00 11902.50 59 | 20:04:50 0.00 11513.50 60 | 20:04:52 0.50 10742.50 61 | 20:04:54 0.00 11297.00 62 | 20:04:56 0.50 10034.00 63 | 20:04:58 0.00 8937.00 64 | 20:05:00 0.00 11199.50 65 | 20:05:02 3.00 12066.00 66 | 20:05:04 0.00 11037.00 67 | 20:05:06 1.00 8733.00 68 | 20:05:08 0.00 9560.00 69 | 20:05:10 0.00 8350.00 70 | 20:05:12 0.50 9387.00 71 | 20:05:14 0.00 9614.50 72 | 20:05:16 0.50 10173.00 73 | 20:05:18 0.00 7488.50 74 | 20:05:20 0.00 8917.00 75 | 20:05:22 0.50 8714.50 76 | 20:05:24 0.00 9834.00 77 | 20:05:26 0.50 11871.00 78 | 20:05:28 0.00 8608.50 79 | 20:05:30 0.00 4584.50 80 | 20:05:32 4.00 5672.00 81 | 20:05:34 0.00 6066.50 82 | 20:05:36 1.00 12978.50 83 | 20:05:38 0.00 8106.50 84 | 20:05:40 0.00 6947.50 85 | 20:05:42 0.50 8041.50 86 | 20:05:44 0.00 6596.50 87 | 20:05:46 0.50 7896.00 88 | 20:05:48 0.00 15559.50 89 | 20:05:50 0.00 7722.50 90 | 20:05:52 0.50 6025.50 91 | 20:05:54 0.00 9917.00 92 | 20:05:56 0.50 10898.50 93 | 20:05:58 0.00 17362.50 94 | 20:06:00 0.50 7254.00 95 | 20:06:02 0.50 5121.00 96 | 20:06:04 0.00 4653.00 97 | 20:06:06 1.00 4723.00 98 | 20:06:08 0.00 4964.50 99 | 20:06:10 0.00 5302.50 100 | 20:06:12 0.50 7012.50 101 | 20:06:14 0.00 6534.00 102 | 20:06:16 0.50 7226.50 103 | 20:06:18 0.00 11085.00 104 | 20:06:20 0.00 10388.00 105 | 20:06:22 0.50 15064.00 106 | 20:06:24 0.00 10578.50 107 | 20:06:26 0.50 20473.00 108 | 20:06:28 0.00 25850.50 109 | 20:06:30 0.00 32652.50 110 | 20:06:32 0.50 27697.50 111 | 20:06:34 0.00 33675.50 112 | 20:06:36 1.00 41619.50 113 | 20:06:38 0.50 36902.50 114 | 20:06:40 0.00 39922.00 115 | 20:06:42 0.50 34267.00 116 | 20:06:44 0.00 28423.00 117 | 20:06:46 0.50 31713.50 118 | 20:06:48 0.00 39904.50 119 | 20:06:50 0.00 30338.50 120 | 20:06:52 1.50 33406.50 121 | -------------------------------------------------------------------------------- /data_collector.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | # 3 | # Script :data_collector.sh 4 | # Author :Julio Sanz 5 | # Website :www.elarraydejota.com 6 | # Email :juliojosesb@gmail.com 7 | # Description :Script to collect resources data using sar and put it in data/ folder of this repository. 8 | # Note this script is intended to collect data in real time (useful for stress tests) but 9 | # not to analyse the overall performance of a machine during a long time frame. 10 | # If you want to check historic data of the server, better use system_data_reader.sh script. 11 | # Dependencies :sysstat,gnuplot,mutt(optional) 12 | # License :GPLv3 13 | # 14 | 15 | # Initialize in sarviewer folder 16 | cd $(dirname $0) 17 | 18 | # ====================== 19 | # VARIABLES 20 | # ====================== 21 | 22 | # Read sarviewer.properties file 23 | . sarviewer.properties 24 | 25 | # ====================== 26 | # FUNCTIONS 27 | # ====================== 28 | 29 | sar_collectors(){ 30 | # CPU 31 | sar -u $sample_interval $number_of_samples | grep -v -E "CPU|Average|^$" > data/cpu.dat & 32 | # RAM 33 | sar -r $sample_interval $number_of_samples | grep -v -E "[a-zA-Z]|^$" > data/ram.dat & 34 | # Swap 35 | sar -S $sample_interval $number_of_samples | grep -v -E "[a-zA-Z]|^$" > data/swap.dat & 36 | # Load average and tasks 37 | sar -q $sample_interval $number_of_samples | grep -v -E "[a-zA-Z]|^$" > data/loadaverage.dat & 38 | # IO transfer 39 | sar -b $sample_interval $number_of_samples | grep -v -E "[a-zA-Z]|^$" > data/iotransfer.dat & 40 | # Process/context switches 41 | sar -w $sample_interval $number_of_samples | grep -v -E "[a-zA-Z]|^$" > data/proc.dat & 42 | # Network Interface 43 | sar -n DEV $sample_interval $number_of_samples | grep $network_interface | grep -v "Average" > data/netinterface.dat & 44 | # Sockets 45 | sar -n SOCK $sample_interval $number_of_samples | grep -v -E "[a-zA-Z]|^$" > data/sockets.dat & 46 | 47 | total_time=$(($sample_interval * $number_of_samples)) 48 | echo "Taking ${number_of_samples} samples with ${sample_interval} seconds interval" 49 | echo "Total time to collect all data: ${total_time} seconds" 50 | echo "----------------------------------" 51 | echo ">>> Collecting data" 52 | echo ">>> Please wait until data collection is completed" 53 | echo "----------------------------------" 54 | echo "- You can abort this script with Ctrl+C, but have in mind the data will stop being collected when you cancel it." 55 | echo "- You will also need to manually launch script plotter.sh to generate the graphs." 56 | sleep $total_time 57 | 58 | # Added additional sleep of 5 seconds to avoid "warning: Skipping data file with no valid points" 59 | echo "----------------------------------" 60 | echo ">>> Just 5 seconds more while processing all data" 61 | echo "----------------------------------" 62 | sleep 5 63 | echo "Done!" 64 | } 65 | 66 | howtouse(){ 67 | cat <<-'EOF' 68 | 69 | This script can work with or without parameters. 70 | Without parameters, just execute it --> ./data_collector.sh 71 | If you use parameters, this is the correct format: 72 | -n [samples] number of samples to take 73 | -i [interval] interval (in seconds) between each sample 74 | -m [mail] mail address to send the graphs to 75 | -h help 76 | 77 | Examples: 78 | 79 | # Send by email statistics from 10 samples, taken each one every 1 second 80 | ./data_collector.sh -n 10 -i 1 -m example@example.com 81 | # Generate statistics from 20 samples, taken each one very 2 seconds 82 | ./data_collector.sh -n 20 -i 2 83 | 84 | EOF 85 | } 86 | 87 | # ====================== 88 | # MAIN 89 | # ====================== 90 | 91 | if [ "$#" -eq 0 ];then 92 | echo -n "Please specify the number of samples to take-> " 93 | read number_of_samples 94 | echo -n "Please specify the sample interval (take sample every X seconds)-> " 95 | read sample_interval 96 | 97 | # Begin collecting data with sar 98 | sar_collectors 99 | 100 | # Call plotter.sh to generate the graphs 101 | ./plotter.sh 102 | 103 | elif [ "$#" -ne 0 ];then 104 | while getopts ":n:i:m:h" opt; do 105 | case $opt in 106 | "n") 107 | number_of_samples="$OPTARG" 108 | ;; 109 | "i") 110 | sample_interval="$OPTARG" 111 | ;; 112 | "m") 113 | mail_to="$OPTARG" 114 | ;; 115 | \?) 116 | echo "Invalid option: -$OPTARG" >&2 117 | howtouse 118 | exit 1 119 | ;; 120 | :) 121 | echo "Option -$OPTARG requires an argument." >&2 122 | howtouse 123 | exit 1 124 | ;; 125 | "h"|*) 126 | howtouse 127 | exit 1 128 | ;; 129 | esac 130 | done 131 | # Begin collecting data with sar 132 | sar_collectors 133 | 134 | # Call plotter.sh to generate the graphs 135 | ./plotter.sh 136 | 137 | # Send mail if specified 138 | if [[ $mail_to ]];then 139 | echo "SARVIEWER - data_collector.sh sysstat statistics for $(hostname)" | mutt -a graphs/*.png -s "SARVIEWER - data_collector.sh sysstat statistics for $(hostname)" -- $mail_to 140 | fi 141 | fi -------------------------------------------------------------------------------- /data/sockets.dat: -------------------------------------------------------------------------------- 1 | 10:15:01 829 14 3 0 0 12 2 | 10:25:01 829 14 3 0 0 6 3 | 10:35:01 829 14 3 0 0 6 4 | 10:45:01 829 14 3 0 0 6 5 | 10:55:01 924 39 4 0 0 8 6 | 11:05:01 920 29 4 0 0 6 7 | 11:15:01 919 28 4 0 0 6 8 | 11:25:01 921 28 4 0 0 7 9 | 11:35:01 921 28 4 0 0 6 10 | 11:45:01 922 29 4 0 0 6 11 | 11:55:01 921 28 4 0 0 7 12 | 12:05:01 919 28 4 0 0 6 13 | 12:15:01 919 28 4 0 0 6 14 | 12:25:01 919 28 4 0 0 7 15 | 12:35:01 919 28 4 0 0 6 16 | 12:45:01 921 28 4 0 0 6 17 | 12:55:01 881 52 3 0 0 7 18 | 13:05:01 853 24 3 0 0 11 19 | 13:15:01 865 35 3 0 0 15 20 | 13:25:01 862 32 3 0 0 15 21 | 13:35:01 861 30 3 0 0 36 22 | 13:45:01 892 52 3 0 0 41 23 | 13:55:01 873 32 3 0 0 8 24 | 14:05:01 854 20 3 0 0 6 25 | 14:15:01 887 53 3 0 0 6 26 | 14:25:01 867 20 3 0 0 7 27 | 14:35:01 878 31 3 0 0 6 28 | 14:45:01 872 19 3 0 0 6 29 | 14:55:01 872 19 3 0 0 7 30 | 15:05:01 873 20 3 0 0 6 31 | 15:15:01 871 18 3 0 0 6 32 | 15:25:01 872 19 3 0 0 7 33 | 15:35:01 873 20 3 0 0 6 34 | 15:45:01 872 19 3 0 0 7 35 | 15:55:01 961 40 5 0 0 7 36 | 16:05:01 963 34 4 0 0 8 37 | 16:15:01 960 33 4 0 0 6 38 | 16:25:01 961 34 4 0 0 7 39 | 16:35:01 961 34 4 0 0 6 40 | 16:45:01 960 33 4 0 0 6 41 | 16:55:01 960 33 4 0 0 7 42 | 17:05:01 960 33 4 0 0 8 43 | 17:15:01 960 33 4 0 0 6 44 | 17:25:01 960 34 4 0 0 7 45 | 17:35:01 959 33 4 0 0 6 46 | 17:45:01 872 19 3 0 0 6 47 | 17:55:01 900 47 3 0 0 22 48 | 18:05:01 899 46 3 0 0 55 49 | 18:15:01 881 28 3 0 0 8 50 | 18:25:01 873 20 3 0 0 7 51 | 18:35:01 893 40 3 0 0 19 52 | 18:45:01 886 33 3 0 0 39 53 | 18:55:01 885 32 3 0 0 11 54 | 19:05:01 891 38 3 0 0 11 55 | 19:15:01 860 15 3 0 0 8 56 | 19:25:01 900 55 3 0 0 14 57 | 19:35:01 860 25 3 0 0 9 58 | 19:45:01 856 21 3 0 0 10 59 | 19:55:01 861 26 3 0 0 8 60 | 20:05:01 909 26 3 0 0 7 61 | 20:15:01 856 27 3 0 0 7 62 | 20:25:01 899 21 3 0 0 8 63 | 20:35:01 866 35 3 0 0 9 64 | 20:45:01 797 14 3 0 0 7 65 | 20:55:01 871 29 3 0 0 10 66 | 21:05:01 856 14 3 0 0 9 67 | 21:15:01 856 14 3 0 0 8 68 | 21:25:01 878 35 3 0 0 9 69 | 21:35:01 876 31 3 0 0 9 70 | 21:45:01 888 42 3 0 0 10 71 | 21:55:01 860 15 3 0 0 9 72 | -------------------------------------------------------------------------------- /system_data_reader.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | # 3 | # Script :system_data_reader.sh 4 | # Author :Julio Sanz 5 | # Website :www.elarraydejota.com 6 | # Email :juliojosesb@gmail.com 7 | # Description :Script to parse logs from system sar already collected data. 8 | # Useful to analyse the overall performance of a server. Note it does not collect 9 | # data in real time like data_collector.sh. This script just reads the sa* files 10 | # on your system (usually located under /var/log/sysstat), parses the info and generates 11 | # the graphs calling the script plotter.sh 12 | # Dependencies :sysstat,gnuplot,mutt(optional) 13 | # License :GPLv3 14 | # 15 | 16 | # Initialize in sarviewer folder 17 | cd $(dirname $0) 18 | 19 | # ====================== 20 | # VARIABLES 21 | # ====================== 22 | 23 | # Read sarviewer.properties file 24 | . sarviewer.properties 25 | 26 | # ====================== 27 | # FUNCTIONS 28 | # ====================== 29 | 30 | dump_sar_info(){ 31 | # CPU 32 | sar -u -f $sysstat_logdir/$sa_file -s $start_time -e $end_time | grep -v -E "CPU|Average|RESTART|^$" > data/cpu.dat & 33 | # RAM 34 | sar -r -f $sysstat_logdir/$sa_file -s $start_time -e $end_time | grep -v -E "[a-zA-Z]|^$" > data/ram.dat & 35 | # Swap 36 | sar -S -f $sysstat_logdir/$sa_file -s $start_time -e $end_time | grep -v -E "[a-zA-Z]|^$" > data/swap.dat & 37 | # Load average and tasks 38 | sar -q -f $sysstat_logdir/$sa_file -s $start_time -e $end_time | grep -v -E "[a-zA-Z]|^$" > data/loadaverage.dat & 39 | # IO transfer 40 | sar -b -f $sysstat_logdir/$sa_file -s $start_time -e $end_time | grep -v -E "[a-zA-Z]|^$" > data/iotransfer.dat & 41 | # Process/context switches 42 | sar -w -f $sysstat_logdir/$sa_file -s $start_time -e $end_time | grep -v -E "[a-zA-Z]|^$" > data/proc.dat & 43 | # Network Interface 44 | sar -n DEV -f $sysstat_logdir/$sa_file -s $start_time -e $end_time | grep $network_interface | grep -v "Average" > data/netinterface.dat & 45 | # Sockets 46 | sar -n SOCK -f $sysstat_logdir/$sa_file -s $start_time -e $end_time | grep -v -E "[a-zA-Z]|^$" > data/sockets.dat & 47 | 48 | wait 49 | } 50 | 51 | check_sa_file(){ 52 | if [ ! -f "$sysstat_logdir/$sa_file" ];then 53 | echo "" 54 | echo "ERROR: The file ${sysstat_logdir}/${sa_file} does not exist" 55 | echo "Please select a valid \"sa\" file from the list" 56 | exit 1 57 | fi 58 | } 59 | 60 | list_sa_files(){ 61 | echo "List of sa* files available at this moment to retrieve data from:" 62 | echo "" 63 | echo "-------------------------------------------" 64 | for file in $(ls ${sysstat_logdir} | grep -v sar);do 65 | echo "File ${file} with data from $(sar -r -f ${sysstat_logdir}/${file} | head -1 )"; 66 | done 67 | echo "-------------------------------------------" 68 | echo "" 69 | echo "Note that the number that follows the \"sa\" file specifies the day of the data collected by sar daemon" 70 | } 71 | 72 | howtouse(){ 73 | cat <<-'EOF' 74 | 75 | This script can work with or without parameters. 76 | Without parameters, just execute it --> ./system_data_reader.sh 77 | If you use parameters, this is the correct format: 78 | -f [sa file] sar file to parse 79 | -s [hh:mm] start parse time in 24 hour format 80 | -e [hh:mm] end parse time in 24 hour format 81 | -m [mail] mail address to send the graphs to 82 | -l list available sa files 83 | -h help 84 | 85 | Examples: 86 | 87 | # Send by email day 04 statistics 88 | ./system_data_reader.sh -f sa04 -m example@example.com 89 | 90 | # Send by email day 04 statistics between 09:00 and 12:00 91 | ./system_data_reader.sh -f sa04 -s 09:00 -e 12:00 -m example@example.com 92 | 93 | # Send by email day 05 statistics just since 10:00 94 | ./system_data_reader.sh -f sa05 -s 10:00 -m example@example.com 95 | 96 | # Just parse day 05 statistics 97 | ./system_data_reader.sh -f sa05 98 | 99 | # Send yesterday's statistics statistics by email: 100 | ./system_data_reader.sh -f sa$(date +%d -d yesterday) -m example@example.com 101 | 102 | # Send today's statistics statistics by email: 103 | ./system_data_reader.sh -f sa$(date +%d) -m example@example.com 104 | 105 | EOF 106 | } 107 | 108 | # ====================== 109 | # MAIN 110 | # ====================== 111 | 112 | if [ "$#" -eq 0 ];then 113 | list_sa_files 114 | echo -n "Please select a sa* file from the listed above: " 115 | read sa_file 116 | 117 | # Check if the selected sa_file exists 118 | check_sa_file 119 | 120 | # Dump data contained in selected sar file 121 | dump_sar_info 122 | 123 | # Call plotter.sh to generate the graphs 124 | ./plotter.sh 125 | 126 | elif [ "$#" -ne 0 ];then 127 | while getopts ":f:s:e:m:lh" opt; do 128 | case $opt in 129 | "f") 130 | sa_file="$OPTARG" 131 | ;; 132 | "s") 133 | start_time="$OPTARG" 134 | ;; 135 | "e") 136 | end_time="$OPTARG" 137 | ;; 138 | "m") 139 | mail_to="$OPTARG" 140 | ;; 141 | "l") 142 | list_sa_files 143 | exit 0 144 | ;; 145 | \?) 146 | echo "Invalid option: -$OPTARG" >&2 147 | howtouse 148 | exit 1 149 | ;; 150 | :) 151 | echo "Option -$OPTARG requires an argument." >&2 152 | howtouse 153 | exit 1 154 | ;; 155 | "h" | *) 156 | howtouse 157 | exit 1 158 | ;; 159 | esac 160 | done 161 | # Check if the selected sa_file exists 162 | check_sa_file 163 | 164 | # Dump data contained in selected sar file 165 | dump_sar_info 166 | 167 | # Call plotter.sh to generate the graphs 168 | ./plotter.sh 169 | 170 | # Send mail if specified 171 | if [[ $mail_to ]];then 172 | echo "SARVIEWER - sysstat ${sa_file} statistics for $(hostname)" | mutt -a graphs/*.png -s "SARVIEWER - sysstat ${sa_file} statistics for $(hostname)" -- $mail_to 173 | fi 174 | fi 175 | -------------------------------------------------------------------------------- /data/netinterface.dat: -------------------------------------------------------------------------------- 1 | 10:15:01 eth0 37.87 11.95 46.45 1.33 0.00 0.00 0.63 0.04 2 | 10:25:01 eth0 1.16 0.43 0.51 0.05 0.00 0.00 0.56 0.00 3 | 10:35:01 eth0 1.76 0.43 0.52 0.05 0.00 0.00 0.89 0.00 4 | 10:45:01 eth0 1.16 0.31 0.20 0.03 0.00 0.00 0.67 0.00 5 | 10:55:01 eth0 39.70 14.05 47.44 1.84 0.00 0.00 0.57 0.04 6 | 11:05:01 eth0 2.14 1.20 0.36 0.16 0.00 0.00 0.58 0.00 7 | 11:15:01 eth0 1.83 1.08 0.49 0.17 0.00 0.00 0.59 0.00 8 | 11:25:01 eth0 1.92 0.94 0.50 0.16 0.00 0.00 0.57 0.00 9 | 11:35:01 eth0 1.49 0.58 0.27 0.11 0.00 0.00 0.56 0.00 10 | 11:45:01 eth0 1.84 1.01 0.47 0.33 0.00 0.00 0.56 0.00 11 | 11:55:01 eth0 2.04 1.03 0.87 0.17 0.00 0.00 0.56 0.00 12 | 12:05:01 eth0 1.35 0.64 0.28 0.12 0.00 0.00 0.56 0.00 13 | 12:15:01 eth0 1.95 1.10 0.74 0.33 0.00 0.00 0.58 0.00 14 | 12:25:01 eth0 2.54 1.15 1.31 0.16 0.00 0.00 0.56 0.00 15 | 12:35:01 eth0 1.26 0.58 0.27 0.09 0.00 0.00 0.56 0.00 16 | 12:45:01 eth0 1.90 1.08 0.47 0.34 0.00 0.00 0.56 0.00 17 | 12:55:01 eth0 20.23 17.50 20.37 14.51 0.00 0.00 0.56 0.02 18 | 13:05:01 eth0 42.58 12.67 53.36 1.42 0.00 0.00 0.57 0.04 19 | 13:15:01 eth0 75.39 26.22 96.92 2.76 0.00 0.00 0.58 0.08 20 | 13:25:01 eth0 2.64 1.45 1.64 0.17 0.00 0.00 0.56 0.00 21 | 13:35:01 eth0 16.83 7.28 20.90 0.67 0.00 0.00 0.56 0.02 22 | 13:45:01 eth0 185.14 72.44 258.57 6.83 0.00 0.00 0.56 0.21 23 | 13:55:01 eth0 1087.70 430.97 1586.84 31.32 0.00 0.00 0.56 1.30 24 | 14:05:01 eth0 149.35 62.15 213.87 4.74 0.00 0.00 0.56 0.18 25 | 14:15:01 eth0 27.23 9.39 36.07 0.83 0.00 0.00 0.58 0.03 26 | 14:25:01 eth0 22.69 7.22 28.55 0.64 0.00 0.00 0.56 0.02 27 | 14:35:01 eth0 21.15 8.21 23.90 0.76 0.00 0.00 0.56 0.02 28 | 14:45:01 eth0 32.16 12.95 34.49 1.40 0.00 0.00 0.93 0.03 29 | 14:55:01 eth0 28.14 3.86 18.23 0.45 0.00 0.00 18.53 0.01 30 | 15:05:01 eth0 2.61 0.52 0.49 0.08 0.00 0.00 1.23 0.00 31 | 15:15:01 eth0 2.22 0.19 0.38 0.02 0.00 0.00 1.23 0.00 32 | 15:25:01 eth0 2.41 0.31 0.41 0.04 0.00 0.00 1.24 0.00 33 | 15:35:01 eth0 2.36 0.34 0.43 0.04 0.00 0.00 1.28 0.00 34 | 15:45:01 eth0 2.16 0.23 0.38 0.03 0.00 0.00 1.23 0.00 35 | 15:55:01 eth0 10.71 4.50 10.76 0.95 0.00 0.00 1.35 0.01 36 | 16:05:01 eth0 3.09 1.28 0.70 0.39 0.00 0.00 1.24 0.00 37 | 16:15:01 eth0 1.59 0.48 0.28 0.08 0.00 0.00 0.81 0.00 38 | 16:25:01 eth0 1.34 0.55 0.22 0.10 0.00 0.00 0.55 0.00 39 | 16:35:01 eth0 5.94 2.13 6.95 0.40 0.00 0.00 0.58 0.01 40 | 16:45:01 eth0 1.11 0.50 0.21 0.09 0.00 0.00 0.57 0.00 41 | 16:55:01 eth0 1.32 0.53 0.22 0.11 0.00 0.00 0.60 0.00 42 | 17:05:01 eth0 1.49 0.79 0.36 0.15 0.00 0.00 0.56 0.00 43 | 17:15:01 eth0 1.23 0.49 0.22 0.09 0.00 0.00 0.59 0.00 44 | 17:25:01 eth0 1.38 0.61 0.29 0.13 0.00 0.00 0.56 0.00 45 | 17:35:01 eth0 1.21 0.59 0.24 0.12 0.00 0.00 0.58 0.00 46 | 17:45:01 eth0 38.36 23.03 46.71 15.49 0.00 0.00 0.58 0.04 47 | 17:55:01 eth0 45.07 17.27 56.25 2.01 0.00 0.00 0.58 0.05 48 | 18:05:01 eth0 49.04 18.07 63.14 2.02 0.00 0.00 0.58 0.05 49 | 18:15:01 eth0 56.37 19.48 73.44 2.15 0.00 0.00 0.61 0.06 50 | 18:25:01 eth0 36.07 18.25 48.60 1.68 0.00 0.00 0.64 0.04 51 | 18:35:01 eth0 139.57 49.03 191.28 4.56 0.00 0.00 0.63 0.16 52 | 18:45:01 eth0 58.48 15.56 82.94 1.20 0.00 0.00 0.66 0.07 53 | 18:55:01 eth0 32.94 9.45 45.22 0.77 0.00 0.00 0.66 0.04 54 | 19:05:01 eth0 143.01 43.38 195.67 3.98 0.00 0.00 0.74 0.16 55 | 19:15:01 eth0 162.83 46.10 229.86 3.98 0.00 0.00 0.65 0.19 56 | 19:25:01 eth0 183.81 58.34 236.94 5.32 0.00 0.00 0.71 0.19 57 | 19:35:01 eth0 116.15 32.16 162.56 2.81 0.00 0.00 0.65 0.13 58 | 19:45:01 eth0 117.86 32.41 165.72 2.85 0.00 0.00 0.66 0.14 59 | 19:55:01 eth0 183.36 56.71 255.97 5.20 0.00 0.00 0.92 0.21 60 | 20:05:01 eth0 41.85 16.90 52.44 1.63 0.00 0.00 0.83 0.04 61 | 20:15:01 eth0 97.81 30.37 132.27 2.82 0.00 0.00 0.71 0.11 62 | 20:25:01 eth0 86.96 30.15 107.27 3.08 0.00 0.00 0.67 0.09 63 | 20:35:01 eth0 254.55 82.10 360.80 7.20 0.00 0.00 0.61 0.30 64 | 20:45:01 eth0 6.89 3.21 7.44 0.35 0.00 0.00 0.65 0.01 65 | 20:55:01 eth0 28.07 11.38 32.22 1.30 0.00 0.00 0.61 0.03 66 | 21:05:01 eth0 16.54 4.03 21.15 0.33 0.00 0.00 0.52 0.02 67 | 21:15:01 eth0 1.08 0.25 0.14 0.03 0.00 0.00 0.53 0.00 68 | 21:25:01 eth0 24.42 9.89 29.98 0.86 0.00 0.00 0.52 0.02 69 | 21:35:01 eth0 46.41 18.46 58.51 1.84 0.00 0.00 0.51 0.05 70 | 21:45:01 eth0 81.95 32.75 107.59 3.05 0.00 0.00 0.52 0.09 71 | 21:55:01 eth0 20.24 5.91 18.43 0.57 0.00 0.00 7.74 0.02 72 | -------------------------------------------------------------------------------- /data/swap.dat: -------------------------------------------------------------------------------- 1 | 20:02:54 34177020 0 0.00 0 0.00 2 | 20:02:56 34177020 0 0.00 0 0.00 3 | 20:02:58 34177020 0 0.00 0 0.00 4 | 20:03:00 34177020 0 0.00 0 0.00 5 | 20:03:02 34177020 0 0.00 0 0.00 6 | 20:03:04 34177020 0 0.00 0 0.00 7 | 20:03:06 34177020 0 0.00 0 0.00 8 | 20:03:08 34177020 0 0.00 0 0.00 9 | 20:03:10 34177020 0 0.00 0 0.00 10 | 20:03:12 34177020 0 0.00 0 0.00 11 | 20:03:14 34177020 0 0.00 0 0.00 12 | 20:03:16 34177020 0 0.00 0 0.00 13 | 20:03:18 34177020 0 0.00 0 0.00 14 | 20:03:20 34177020 0 0.00 0 0.00 15 | 20:03:22 34177020 0 0.00 0 0.00 16 | 20:03:24 34177020 0 0.00 0 0.00 17 | 20:03:26 34177020 0 0.00 0 0.00 18 | 20:03:28 34177020 0 0.00 0 0.00 19 | 20:03:30 34177020 0 0.00 0 0.00 20 | 20:03:32 34177020 0 0.00 0 0.00 21 | 20:03:34 34177020 0 0.00 0 0.00 22 | 20:03:36 34177020 0 0.00 0 0.00 23 | 20:03:38 34177020 0 0.00 0 0.00 24 | 20:03:40 34177020 0 0.00 0 0.00 25 | 20:03:42 34177020 0 0.00 0 0.00 26 | 20:03:44 34177020 0 0.00 0 0.00 27 | 20:03:46 34177020 0 0.00 0 0.00 28 | 20:03:48 34177020 0 0.00 0 0.00 29 | 20:03:50 34177020 0 0.00 0 0.00 30 | 20:03:52 34177020 0 0.00 0 0.00 31 | 20:03:54 34177020 0 0.00 0 0.00 32 | 20:03:56 34177020 0 0.00 0 0.00 33 | 20:03:58 34177020 0 0.00 0 0.00 34 | 20:04:00 34177020 0 0.00 0 0.00 35 | 20:04:02 34177020 0 0.00 0 0.00 36 | 20:04:04 34177020 0 0.00 0 0.00 37 | 20:04:06 34177020 0 0.00 0 0.00 38 | 20:04:08 34177020 0 0.00 0 0.00 39 | 20:04:10 34177020 0 0.00 0 0.00 40 | 20:04:12 34177020 0 0.00 0 0.00 41 | 20:04:14 34177020 0 0.00 0 0.00 42 | 20:04:16 34177020 0 0.00 0 0.00 43 | 20:04:18 34177020 0 0.00 0 0.00 44 | 20:04:20 34177020 0 0.00 0 0.00 45 | 20:04:22 34177020 0 0.00 0 0.00 46 | 20:04:24 34177020 0 0.00 0 0.00 47 | 20:04:26 34177020 0 0.00 0 0.00 48 | 20:04:28 34177020 0 0.00 0 0.00 49 | 20:04:30 34177020 0 0.00 0 0.00 50 | 20:04:32 34177020 0 0.00 0 0.00 51 | 20:04:34 34177020 0 0.00 0 0.00 52 | 20:04:36 34177020 0 0.00 0 0.00 53 | 20:04:38 34177020 0 0.00 0 0.00 54 | 20:04:40 34177020 0 0.00 0 0.00 55 | 20:04:42 34177020 0 0.00 0 0.00 56 | 20:04:44 34177020 0 0.00 0 0.00 57 | 20:04:46 34177020 0 0.00 0 0.00 58 | 20:04:48 34177020 0 0.00 0 0.00 59 | 20:04:50 34177020 0 0.00 0 0.00 60 | 20:04:52 34177020 0 0.00 0 0.00 61 | 20:04:54 34177020 0 0.00 0 0.00 62 | 20:04:56 34177020 0 0.00 0 0.00 63 | 20:04:58 34177020 0 0.00 0 0.00 64 | 20:05:00 34177020 0 0.00 0 0.00 65 | 20:05:02 34177020 0 0.00 0 0.00 66 | 20:05:04 34177020 0 0.00 0 0.00 67 | 20:05:06 34177020 0 0.00 0 0.00 68 | 20:05:08 34177020 0 0.00 0 0.00 69 | 20:05:10 34177020 0 0.00 0 0.00 70 | 20:05:12 34177020 0 0.00 0 0.00 71 | 20:05:14 34177020 0 0.00 0 0.00 72 | 20:05:16 34177020 0 0.00 0 0.00 73 | 20:05:18 34177020 0 0.00 0 0.00 74 | 20:05:20 34177020 0 0.00 0 0.00 75 | 20:05:22 34177020 0 0.00 0 0.00 76 | 20:05:24 34177020 0 0.00 0 0.00 77 | 20:05:26 34177020 0 0.00 0 0.00 78 | 20:05:28 34177020 0 0.00 0 0.00 79 | 20:05:30 34177020 0 0.00 0 0.00 80 | 20:05:32 34177020 0 0.00 0 0.00 81 | 20:05:34 34177020 0 0.00 0 0.00 82 | 20:05:36 34177020 0 0.00 0 0.00 83 | 20:05:38 34177020 0 0.00 0 0.00 84 | 20:05:40 34177020 0 0.00 0 0.00 85 | 20:05:42 34177020 0 0.00 0 0.00 86 | 20:05:44 34177020 0 0.00 0 0.00 87 | 20:05:46 34177020 0 0.00 0 0.00 88 | 20:05:48 34177020 0 0.00 0 0.00 89 | 20:05:50 34177020 0 0.00 0 0.00 90 | 20:05:52 34177020 0 0.00 0 0.00 91 | 20:05:54 34177020 0 0.00 0 0.00 92 | 20:05:56 34177020 0 0.00 0 0.00 93 | 20:05:58 34177020 0 0.00 0 0.00 94 | 20:06:00 34177020 0 0.00 0 0.00 95 | 20:06:02 34177020 0 0.00 0 0.00 96 | 20:06:04 34177020 0 0.00 0 0.00 97 | 20:06:06 34177020 0 0.00 0 0.00 98 | 20:06:08 34177020 0 0.00 0 0.00 99 | 20:06:10 34177020 0 0.00 0 0.00 100 | 20:06:12 34177020 0 0.00 0 0.00 101 | 20:06:14 34177020 0 0.00 0 0.00 102 | 20:06:16 34177020 0 0.00 0 0.00 103 | 20:06:18 34177020 0 0.00 0 0.00 104 | 20:06:20 34177020 0 0.00 0 0.00 105 | 20:06:22 34177020 0 0.00 0 0.00 106 | 20:06:24 34177020 0 0.00 0 0.00 107 | 20:06:26 34177020 0 0.00 0 0.00 108 | 20:06:28 34177020 0 0.00 0 0.00 109 | 20:06:30 34177020 0 0.00 0 0.00 110 | 20:06:32 34177020 0 0.00 0 0.00 111 | 20:06:34 34177020 0 0.00 0 0.00 112 | 20:06:36 34177020 0 0.00 0 0.00 113 | 20:06:38 34177020 0 0.00 0 0.00 114 | 20:06:40 34177020 0 0.00 0 0.00 115 | 20:06:42 34177020 0 0.00 0 0.00 116 | 20:06:44 34177020 0 0.00 0 0.00 117 | 20:06:46 34177020 0 0.00 0 0.00 118 | 20:06:48 34177020 0 0.00 0 0.00 119 | 20:06:50 34177020 0 0.00 0 0.00 120 | 20:06:52 34177020 0 0.00 0 0.00 121 | -------------------------------------------------------------------------------- /data/iotransfer.dat: -------------------------------------------------------------------------------- 1 | 20:02:54 1.00 0.00 1.00 0.00 32.00 2 | 20:02:56 3.50 0.00 3.50 0.00 148.00 3 | 20:02:58 39.50 0.00 39.50 0.00 1348.00 4 | 20:03:00 1.50 0.00 1.50 0.00 144.00 5 | 20:03:02 5.00 0.00 5.00 0.00 188.00 6 | 20:03:04 6.00 0.00 6.00 0.00 344.00 7 | 20:03:06 2.00 0.00 2.00 0.00 92.00 8 | 20:03:08 9.00 0.00 9.00 0.00 720.00 9 | 20:03:10 4.50 0.00 4.50 0.00 364.00 10 | 20:03:12 47.00 0.00 47.00 0.00 1204.00 11 | 20:03:14 11.50 0.50 11.00 8.00 780.00 12 | 20:03:16 4.50 3.00 1.50 164.00 196.00 13 | 20:03:18 14.50 10.00 4.50 2580.00 472.00 14 | 20:03:20 0.50 0.00 0.50 0.00 4.00 15 | 20:03:22 4.00 4.00 0.00 884.00 0.00 16 | 20:03:24 8.50 0.50 8.00 100.00 1104.00 17 | 20:03:26 1.00 0.00 1.00 0.00 20.00 18 | 20:03:28 6.00 0.00 6.00 0.00 2496.00 19 | 20:03:30 0.50 0.00 0.50 0.00 48.00 20 | 20:03:32 242.50 238.50 4.00 38176.00 420.00 21 | 20:03:34 346.50 339.00 7.50 71464.00 360.00 22 | 20:03:36 602.50 601.00 1.50 45656.00 36.00 23 | 20:03:38 507.50 506.50 1.00 27464.00 80.00 24 | 20:03:40 188.00 184.00 4.00 10088.00 184.00 25 | 20:03:42 135.00 125.50 9.50 3876.00 140.00 26 | 20:03:44 230.50 93.00 137.50 19964.00 2604.00 27 | 20:03:46 232.50 231.50 1.00 59136.00 68.00 28 | 20:03:48 307.50 306.50 1.00 77824.00 8.00 29 | 20:03:50 274.50 271.00 3.50 63708.00 148.00 30 | 20:03:52 168.50 167.50 1.00 37216.00 52.00 31 | 20:03:54 53.00 53.00 0.00 12680.00 0.00 32 | 20:03:56 16.50 13.00 3.50 2480.00 276.00 33 | 20:03:58 14.00 13.00 1.00 2596.00 24.00 34 | 20:04:00 57.50 54.00 3.50 7972.00 256.00 35 | 20:04:02 83.00 79.50 3.50 2928.00 3584.00 36 | 20:04:04 35.50 20.50 15.00 3376.00 10940.00 37 | 20:04:06 21.00 19.00 2.00 2804.00 264.00 38 | 20:04:08 15.00 14.00 1.00 2464.00 12.00 39 | 20:04:10 13.50 11.00 2.50 1824.00 208.00 40 | 20:04:12 42.00 40.00 2.00 2060.00 100.00 41 | 20:04:14 10.00 9.50 0.50 2436.00 4.00 42 | 20:04:16 14.00 9.00 5.00 2276.00 936.00 43 | 20:04:18 26.50 12.00 14.50 2788.00 288.00 44 | 20:04:20 92.00 21.00 71.00 5384.00 976.00 45 | 20:04:22 12.00 7.50 4.50 1848.00 860.00 46 | 20:04:24 8.50 4.00 4.50 1012.00 324.00 47 | 20:04:26 6.50 5.50 1.00 1412.00 168.00 48 | 20:04:28 10.50 4.00 6.50 1028.00 1896.00 49 | 20:04:30 5.00 0.50 4.50 128.00 124.00 50 | 20:04:32 5.00 0.00 5.00 0.00 1080.00 51 | 20:04:34 27.00 3.50 23.50 28.00 14952.00 52 | 20:04:36 1.00 0.00 1.00 0.00 168.00 53 | 20:04:38 6.00 0.00 6.00 0.00 992.00 54 | 20:04:40 8.50 0.00 8.50 0.00 616.00 55 | 20:04:42 6.00 3.00 3.00 200.00 932.00 56 | 20:04:44 34.00 0.50 33.50 128.00 828.00 57 | 20:04:46 2.50 1.50 1.00 260.00 168.00 58 | 20:04:48 13.00 7.50 5.50 1800.00 1156.00 59 | 20:04:50 8.50 0.00 8.50 0.00 3640.00 60 | 20:04:52 1.00 0.00 1.00 0.00 168.00 61 | 20:04:54 73.50 0.50 73.00 128.00 7284.00 62 | 20:04:56 1.00 0.00 1.00 0.00 168.00 63 | 20:04:58 10.00 6.50 3.50 1672.00 540.00 64 | 20:05:00 11.50 1.50 10.00 100.00 4456.00 65 | 20:05:02 1.00 0.00 1.00 0.00 168.00 66 | 20:05:04 14.00 0.50 13.50 128.00 5420.00 67 | 20:05:06 1.00 0.00 1.00 0.00 168.00 68 | 20:05:08 2.50 0.00 2.50 0.00 64.00 69 | 20:05:10 10.00 0.00 10.00 0.00 3980.00 70 | 20:05:12 2.00 0.00 2.00 0.00 56.00 71 | 20:05:14 8.50 0.00 8.50 0.00 2960.00 72 | 20:05:16 3.50 0.50 3.00 128.00 276.00 73 | 20:05:18 7.50 0.00 7.50 0.00 64.00 74 | 20:05:20 11.50 0.00 11.50 0.00 3408.00 75 | 20:05:22 1.00 0.00 1.00 0.00 20.00 76 | 20:05:24 12.00 0.00 12.00 0.00 4852.00 77 | 20:05:26 13.50 10.00 3.50 1980.00 176.00 78 | 20:05:28 1.00 1.00 0.00 132.00 0.00 79 | 20:05:30 97.00 21.50 75.50 5136.00 4728.00 80 | 20:05:32 58.00 53.00 5.00 10032.00 196.00 81 | 20:05:34 198.00 189.00 9.00 12076.00 3944.00 82 | 20:05:36 755.50 752.00 3.50 153412.00 212.00 83 | 20:05:38 749.50 748.50 1.00 185448.00 24.00 84 | 20:05:40 472.50 467.50 5.00 113780.00 1580.00 85 | 20:05:42 369.00 364.50 4.50 74008.00 180.00 86 | 20:05:44 439.00 424.00 15.00 103808.00 14248.00 87 | 20:05:46 443.50 443.50 0.00 104024.00 0.00 88 | 20:05:48 490.00 484.50 5.50 118616.00 180.00 89 | 20:05:50 403.00 402.50 0.50 94200.00 4.00 90 | 20:05:52 375.00 366.00 9.00 85684.00 176.00 91 | 20:05:54 490.50 488.50 2.00 97000.00 128.00 92 | 20:05:56 584.00 584.00 0.00 125452.00 0.00 93 | 20:05:58 995.00 991.50 3.50 249900.00 116.00 94 | 20:06:00 85.00 83.50 1.50 20452.00 56.00 95 | 20:06:02 5.50 5.50 0.00 372.00 0.00 96 | 20:06:04 41.50 18.00 23.50 324.00 356.00 97 | 20:06:06 4.50 4.50 0.00 144.00 0.00 98 | 20:06:08 8.50 6.00 2.50 72.00 100.00 99 | 20:06:10 106.50 104.00 2.50 14040.00 24.00 100 | 20:06:12 165.00 165.00 0.00 18820.00 0.00 101 | 20:06:14 75.00 70.00 5.00 12836.00 256.00 102 | 20:06:16 193.50 192.50 1.00 27688.00 12.00 103 | 20:06:18 481.00 481.00 0.00 104644.00 0.00 104 | 20:06:20 884.50 879.50 5.00 218920.00 152.00 105 | 20:06:22 504.00 504.00 0.00 120420.00 0.00 106 | 20:06:24 54.50 51.00 3.50 9620.00 132.00 107 | 20:06:26 6.00 6.00 0.00 1096.00 0.00 108 | 20:06:28 7.50 5.50 2.00 360.00 20.00 109 | 20:06:30 4.50 1.00 3.50 8.00 116.00 110 | 20:06:32 5.00 5.00 0.00 356.00 0.00 111 | 20:06:34 10.00 4.00 6.00 248.00 52.00 112 | 20:06:36 6.00 2.50 3.50 184.00 112.00 113 | 20:06:38 0.00 0.00 0.00 0.00 0.00 114 | 20:06:40 4.00 0.00 4.00 0.00 148.00 115 | 20:06:42 0.50 0.00 0.50 0.00 12.00 116 | 20:06:44 1.50 1.00 0.50 256.00 8.00 117 | 20:06:46 3.50 0.00 3.50 0.00 132.00 118 | 20:06:48 0.00 0.00 0.00 0.00 0.00 119 | 20:06:50 0.50 0.00 0.50 0.00 4.00 120 | 20:06:52 10.00 5.00 5.00 392.00 144.00 121 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # sarviewer 2 | 3 | This repository is intended to give a simple way to measure resources usage (CPU, RAM...) in a machine. It uses sar to retrieve data and gnuplot (by default) or matplotlib to generate graphs from it. 4 | 5 | Useful to visualize and analyze data during stress tests. 6 | 7 | The following graphs based on sar data are generated: 8 | 9 | * CPU usage 10 | * Load average 11 | * RAM usage 12 | * I/O transfer 13 | * Processes created per second 14 | * Swap usage 15 | * Context switches 16 | * Tasks (run queue, active, blocked) 17 | * Network interface statistics (eth0 by default) 18 | * TCP/UDP sockets 19 | 20 | ## Requirements 21 | 22 | For basic functionality you will need to install **sysstat** and **gnuplot** in your system using your package manager: 23 | ```bash 24 | # Debian & based 25 | apt-get install sysstat gnuplot 26 | # RHEL & based 27 | yum install sysstat gnuplot 28 | ``` 29 | 30 | Minimum version required: 31 | 32 | * gnuplot 4.4+ 33 | * sysstat 10.1.5+ 34 | 35 | You can check your current version with: 36 | ```bash 37 | # Gnuplot 38 | gnuplot --version 39 | # Sysstat 40 | sar -V 41 | ``` 42 | 43 | If your current distribution (for example, CentOS 6) doesn't have these versions in repositories by default, you will have to either install the needed package or build from sources. 44 | 45 | If you want to generate the graphs using **matplotlib** (in **Python 2.7**) you can install it with **pip**. In case you don't have pip [check the official guide](https://pip.pypa.io/en/stable/installing/#using-linux-package-managers) to install it using your chosen package manager. Once you have pip just: 46 | ```bash 47 | pip install matplotlib 48 | ``` 49 | 50 | * If you are going to use the mail option (to send the graphs via email) you will need **mutt**: 51 | ```bash 52 | # Debian & based 53 | apt-get install mutt 54 | # RHEL & based 55 | yum install mutt 56 | ``` 57 | 58 | ## Usage 59 | 60 | * Clone this repo or download it (ZIP format). Note that the files contained in data/ and graphs/ folders are only for sample purposes. 61 | * By default the graphs are generated using gnuplot. If you want to generate them using matplotlib, change the variable **graph_generator** in the file **sarviewer.properties** from *gnuplot* to *matplotlib* 62 | * Network interface statistics are generated for eth0 by default. Change the variable **network_interface** as needed in **sarviewer.properties** file. 63 | * The repo can be used in two modes, depending on your needs. See below. 64 | 65 | ### Mode 1: Begin collecting data and generate graphs 66 | 67 | * Useful for stress tests. Launch the **data_collector.sh** script if you want to begin collecting data. Specify the number of samples and interval to take each sample. Notice that whenever you want you can cancel the collector with *Ctrl+C*, interrumpting the collection of data. If it is cancelled you will need to launch the script **plotter.sh** manually. The data and graphs generated will overwrite the samples given in this repo in **data/** and **graphs/** folder respectively. 68 | 69 | ``` 70 | [jota@myserver sarviewer]$ ./data_collector.sh 71 | Please specify the number of samples to take-> 10 72 | Please specify the sample interval (take sample every X seconds)-> 2 73 | Taking 10 samples with 2 seconds interval 74 | Total time to collect all data: 20 seconds 75 | ---------------------------------- 76 | >>> Collecting data 77 | >>> Please wait until data collection is completed 78 | ---------------------------------- 79 | - You can abort this script with Ctrl+C, but have in mind the data will stop being collected when you cancel it. 80 | - You will also need to manually launch script plotter.sh to generate the graphs. 81 | ``` 82 | 83 | * Once the script has finished the data collection or you have cancelled it (and subsequently launched plotter.sh) you can analyze the resource usage in the graphs (PNG format) that have been generated in the **graphs/** folder of this repo. 84 | 85 | * You can also use parameters with the script, for example: 86 | 87 | ``` 88 | # Generate 10 samples with 1 second interval between each one 89 | ./data_collector.sh -n 10 -i 1 90 | 91 | # Generate 10 samples with 1 second interval between each one and send results to mail 92 | ./data_collector.sh -n 10 -i 1 -m example@example.com 93 | ``` 94 | 95 | ### Mode 2: Read data from sar daemon and generate graphs 96 | 97 | * If you just want to read the data already generated by sar daemon in your system, use the script **system_data_reader.sh** and choose the sa* file you want to parse to generate the corresponding graphs. Remember that sar daemon should have been previously enabled in **/etc/default/sysstat** 98 | 99 | ``` 100 | [jota@myserver sarviewer]$ ./system_data_reader.sh 101 | List of sa* files available at this moment to retrieve data from: 102 | 103 | ------------------------------------------- 104 | File sa15 with data from Linux 3.16.0-4-amd64 (myserver) 04/15/17 _x86_64_ (8 CPU) 105 | File sa16 with data from Linux 3.16.0-4-amd64 (myserver) 04/16/17 _x86_64_ (8 CPU) 106 | File sa17 with data from Linux 3.16.0-4-amd64 (myserver) 04/17/17 _x86_64_ (8 CPU) 107 | File sa18 with data from Linux 3.16.0-4-amd64 (myserver) 04/18/17 _x86_64_ (8 CPU) 108 | File sa19 with data from Linux 3.16.0-4-amd64 (myserver) 04/19/17 _x86_64_ (8 CPU) 109 | File sa20 with data from Linux 3.16.0-4-amd64 (myserver) 04/20/17 _x86_64_ (8 CPU) 110 | File sa21 with data from Linux 3.16.0-4-amd64 (myserver) 04/21/17 _x86_64_ (8 CPU) 111 | File sa22 with data from Linux 3.16.0-4-amd64 (myserver) 04/22/17 _x86_64_ (8 CPU) 112 | File sa23 with data from Linux 3.16.0-4-amd64 (myserver) 04/23/17 _x86_64_ (8 CPU) 113 | ------------------------------------------- 114 | 115 | Note that the number that follows the "sa" file specifies the day of the data collected by sar daemon 116 | Please select a sa* file from the listed above: sa15 117 | ``` 118 | 119 | * You can also use parameters with the script **system_data_reader.sh**, specifying the sa file to parse, start/ending time and an optional email address where you will receive your graphs attached. Examples: 120 | 121 | ``` 122 | # Send by email day 04 statistics 123 | ./system_data_reader.sh -f sa04 -m example@example.com 124 | 125 | # Send by email day 04 statistics between 09:00 and 12:00 126 | ./system_data_reader.sh -f sa04 -s 09:00 -e 12:00 -m example@example.com 127 | 128 | # Send by email day 05 statistics just since 10:00 129 | ./system_data_reader.sh -f sa05 -s 10:00 -m example@example.com 130 | 131 | # Just parse day 05 statistics 132 | ./system_data_reader.sh -f sa05 133 | ``` 134 | 135 | * Parameters are also useful if you want to send statistics periodically with a **crontab**. Examples: 136 | 137 | ``` 138 | # Send graphs statistics from present day everyday at 23:30 139 | 30 23 * * * /home/jota/scripts/sarviewer/system_data_reader.sh -f sa$(date +\%d) -m example@example.com 140 | 141 | # Send graphs statistics from the day before everyday at 23:30 142 | 30 23 * * * /home/jota/scripts/sarviewer/system_data_reader.sh -f sa$(date +\%d -d yesterday) -m example@example.com 143 | ``` 144 | 145 | ## GNUPLOT samples 146 | 147 | Some samples of graphs generated with gnuplot 148 | 149 | * RAM 150 | 151 | ![Alt text](https://cloud.githubusercontent.com/assets/12804701/25317096/347f1824-2872-11e7-892a-e6a5bb49558e.png "RAM usage graph") 152 | 153 | * CPU 154 | 155 | ![Alt text](https://cloud.githubusercontent.com/assets/12804701/25317097/3571ea86-2872-11e7-8582-44d98d0d4223.png "CPU usage graph") 156 | 157 | * Load average 158 | 159 | ![Alt text](https://cloud.githubusercontent.com/assets/12804701/25317152/2775474c-2873-11e7-8253-350f9bc6276f.png "Load average") 160 | 161 | * Processes 162 | 163 | ![Alt text](https://cloud.githubusercontent.com/assets/12804701/25317099/3905f282-2872-11e7-96df-ed32830be482.png "Processes created per second") 164 | 165 | ## Matplotlib samples 166 | 167 | Some samples of graphs generated with matplotlib (Python) 168 | 169 | * RAM 170 | 171 | ![Alt text](https://cloud.githubusercontent.com/assets/12804701/25316877/89babd1a-286e-11e7-9452-0deddc4aab49.png "RAM usage graph") 172 | 173 | * CPU 174 | 175 | ![Alt text](https://cloud.githubusercontent.com/assets/12804701/25316873/8269f792-286e-11e7-9277-e7fe75994b83.png "CPU usage graph") 176 | 177 | * Load average 178 | 179 | ![Alt text](https://cloud.githubusercontent.com/assets/12804701/25316874/86caae58-286e-11e7-9da4-5c073fab0878.png "Load average") 180 | 181 | * Processes 182 | 183 | ![Alt text](https://cloud.githubusercontent.com/assets/12804701/25316876/884427fa-286e-11e7-813a-882947e5f3c2.png "Processes created per second") 184 | 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20:05:42 all 12.06 0.00 1.01 5.18 0.00 81.76 86 | 20:05:44 all 11.86 0.00 1.32 4.89 0.00 81.93 87 | 20:05:46 all 13.05 0.00 1.44 5.08 0.00 80.43 88 | 20:05:48 all 13.11 0.00 2.07 5.52 0.00 79.30 89 | 20:05:50 all 11.42 0.00 1.45 5.05 0.00 82.08 90 | 20:05:52 all 15.33 0.00 1.76 4.84 0.00 78.08 91 | 20:05:54 all 11.48 0.00 1.68 5.74 0.00 81.10 92 | 20:05:56 all 8.44 0.00 1.76 7.75 0.00 82.05 93 | 20:05:58 all 23.26 0.00 6.70 11.23 0.00 58.81 94 | 20:06:00 all 19.84 0.00 6.15 1.07 0.00 72.94 95 | 20:06:02 all 18.88 0.00 5.48 0.00 0.00 75.64 96 | 20:06:04 all 14.38 0.00 0.50 0.88 0.00 84.24 97 | 20:06:06 all 12.84 0.00 0.44 0.13 0.00 86.60 98 | 20:06:08 all 17.06 0.00 0.44 0.38 0.00 82.12 99 | 20:06:10 all 12.32 0.00 0.82 1.89 0.00 84.98 100 | 20:06:12 all 12.76 0.00 5.85 3.27 0.00 78.13 101 | 20:06:14 all 17.20 0.00 5.88 2.38 0.00 74.55 102 | 20:06:16 all 11.01 0.00 0.81 4.38 0.00 83.79 103 | 20:06:18 all 10.57 0.00 1.07 6.86 0.00 81.50 104 | 20:06:20 all 8.04 0.00 2.07 11.37 0.00 78.52 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| 20:02:54 1568284 14795412 90.42 1675712 10285128 5653540 11.19 4598524 9267920 892 2 | 20:02:56 1554008 14809688 90.50 1675712 10285168 5653540 11.19 4613576 9267956 916 3 | 20:02:58 1479656 14884040 90.96 1675724 10285120 6160260 12.19 4670756 9267268 964 4 | 20:03:00 1466256 14897440 91.04 1675724 10287480 6222052 12.31 4687864 9267432 1040 5 | 20:03:02 1464156 14899540 91.05 1675724 10287472 6222052 12.31 4690668 9267108 1124 6 | 20:03:04 1470232 14893464 91.02 1675736 10287468 6222052 12.31 4683340 9267108 1152 7 | 20:03:06 1467128 14896568 91.03 1675736 10287472 6222052 12.31 4686688 9267108 1160 8 | 20:03:08 1477124 14886572 90.97 1675736 10287472 6222052 12.31 4676684 9267108 416 9 | 20:03:10 1486048 14877648 90.92 1675748 10287576 6246480 12.36 4667592 9266020 520 10 | 20:03:12 1460492 14903204 91.07 1675752 10287580 6278380 12.42 4692584 9259184 536 11 | 20:03:14 1386236 14977460 91.53 1675752 10320784 6523072 12.91 4727516 9288728 328 12 | 20:03:16 1355904 15007792 91.71 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9585356 7445524 14.73 6613500 8502188 20076 81 | 20:05:34 155292 16208404 99.05 1677124 9598072 7445524 14.73 6619716 8511852 16116 82 | 20:05:36 163864 16199832 99.00 1677124 9443044 7445524 14.73 6747164 8373168 16116 83 | 20:05:38 169840 16193856 98.96 1677132 9285252 7445524 14.73 6882428 8235644 16172 84 | 20:05:40 160196 16203500 99.02 1677132 9169480 7445524 14.73 6992660 8138404 14612 85 | 20:05:42 173224 16190472 98.94 1677140 9041604 7445524 14.73 7095032 8024256 14644 86 | 20:05:44 166048 16197648 98.99 1677144 8895168 7445524 14.73 7237460 7892268 376 87 | 20:05:46 170000 16193696 98.96 1677144 8755500 7445524 14.73 7354840 7770448 376 88 | 20:05:48 173776 16189920 98.94 1677156 8575944 7445524 14.73 7508116 7611784 408 89 | 20:05:50 167016 16196680 98.98 1677156 8442356 7445524 14.73 7634896 7495332 404 90 | 20:05:52 171192 16192504 98.95 1677156 8213356 7445524 14.73 7843604 7287052 404 91 | 20:05:54 171844 16191852 98.95 1677156 8092988 7445524 14.73 7949008 7181668 372 92 | 20:05:56 348704 16014992 97.87 1567780 7896188 7445524 14.73 8057668 6901088 372 93 | 20:05:58 173816 16189880 98.94 1379376 7929840 7445524 14.73 8334768 6801984 392 94 | 20:06:00 186932 16176764 98.86 1305460 7876036 7445524 14.73 8439324 6687664 428 95 | 20:06:02 242220 16121476 98.52 1283380 7853836 7445524 14.73 8424048 6646428 428 96 | 20:06:04 173796 16189900 98.94 1265144 7835932 7445524 14.73 8526208 6613744 188 97 | 20:06:06 167816 16195880 98.97 1211020 7781172 7445524 14.73 8631036 6516000 188 98 | 20:06:08 160096 16203600 99.02 1179716 7721280 7445524 14.73 8720360 6436780 192 99 | 20:06:10 175416 16188280 98.93 1172004 7563580 7716720 15.27 8807192 6282328 228 100 | 20:06:12 161908 16201788 99.01 1172004 7550492 7716720 15.27 8817752 6271992 236 101 | 20:06:14 170304 16193392 98.96 1172004 7325492 7716720 15.27 8987444 6076084 268 102 | 20:06:16 162844 16200852 99.00 1172012 7312680 7716720 15.27 9022876 6069160 116 103 | 20:06:18 169408 16194288 98.96 1172012 7178752 7716720 15.27 9129560 5954036 120 104 | 20:06:20 169840 16193856 98.96 1172016 6970548 7716720 15.27 9116368 5973256 136 105 | 20:06:22 172100 16191596 98.95 1170856 6837100 7716720 15.27 9211440 5867380 180 106 | 20:06:24 255064 16108632 98.44 1170832 6404364 7715184 15.27 9528224 5465780 188 107 | 20:06:26 348188 16015508 97.87 1170832 6405208 7715184 15.27 9524816 5467204 208 108 | 20:06:28 326364 16037332 98.01 1170832 6405500 7715184 15.27 9531556 5467488 208 109 | 20:06:30 323904 16039792 98.02 1170832 6405608 7715184 15.27 9539944 5467556 196 110 | 20:06:32 323532 16040164 98.02 1170832 6405692 7715184 15.27 9543188 5467636 208 111 | 20:06:34 314628 16049068 98.08 1170836 6405936 7715184 15.27 9544036 5467856 160 112 | 20:06:36 300812 16062884 98.16 1170840 6406368 7715184 15.27 9559096 5468248 168 113 | 20:06:38 298308 16065388 98.18 1170840 6406368 7715184 15.27 9562000 5468240 168 114 | 20:06:40 293388 16070308 98.21 1170840 6406372 7715184 15.27 9573216 5468244 172 115 | 20:06:42 289916 16073780 98.23 1170840 6406372 7715184 15.27 9576760 5468244 200 116 | 20:06:44 286556 16077140 98.25 1170840 6406628 7715184 15.27 9580480 5468464 192 117 | 20:06:46 275644 16088052 98.32 1170844 6406628 7715184 15.27 9588952 5468500 220 118 | 20:06:48 275272 16088424 98.32 1170844 6406628 7715184 15.27 9589252 5468500 220 119 | 20:06:50 272916 16090780 98.33 1170848 6406628 7715184 15.27 9592084 5468500 220 120 | 20:06:52 274620 16089076 98.32 1170852 6406892 7715184 15.27 9588380 5468700 220 121 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License 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You may not convey a covered 525 | work if you are a party to an arrangement with a third party that is 526 | in the business of distributing software, under which you make payment 527 | to the third party based on the extent of your activity of conveying 528 | the work, and under which the third party grants, to any of the 529 | parties who would receive the covered work from you, a discriminatory 530 | patent license (a) in connection with copies of the covered work 531 | conveyed by you (or copies made from those copies), or (b) primarily 532 | for and in connection with specific products or compilations that 533 | contain the covered work, unless you entered into that arrangement, 534 | or that patent license was granted, prior to 28 March 2007. 535 | 536 | Nothing in this License shall be construed as excluding or limiting 537 | any implied license or other defenses to infringement that may 538 | otherwise be available to you under applicable patent law. 539 | 540 | 12. No Surrender of Others' Freedom. 541 | 542 | If conditions are imposed on you (whether by court order, agreement or 543 | otherwise) that contradict the conditions of this License, they do not 544 | excuse you from the conditions of this License. If you cannot convey a 545 | covered work so as to satisfy simultaneously your obligations under this 546 | License and any other pertinent obligations, then as a consequence you may 547 | not convey it at all. For example, if you agree to terms that obligate you 548 | to collect a royalty for further conveying from those to whom you convey 549 | the Program, the only way you could satisfy both those terms and this 550 | License would be to refrain entirely from conveying the Program. 551 | 552 | 13. Use with the GNU Affero General Public License. 553 | 554 | Notwithstanding any other provision of this License, you have 555 | permission to link or combine any covered work with a work licensed 556 | under version 3 of the GNU Affero General Public License into a single 557 | combined work, and to convey the resulting work. The terms of this 558 | License will continue to apply to the part which is the covered work, 559 | but the special requirements of the GNU Affero General Public License, 560 | section 13, concerning interaction through a network will apply to the 561 | combination as such. 562 | 563 | 14. Revised Versions of this License. 564 | 565 | The Free Software Foundation may publish revised and/or new versions of 566 | the GNU General Public License from time to time. Such new versions will 567 | be similar in spirit to the present version, but may differ in detail to 568 | address new problems or concerns. 569 | 570 | Each version is given a distinguishing version number. If the 571 | Program specifies that a certain numbered version of the GNU General 572 | Public License "or any later version" applies to it, you have the 573 | option of following the terms and conditions either of that numbered 574 | version or of any later version published by the Free Software 575 | Foundation. If the Program does not specify a version number of the 576 | GNU General Public License, you may choose any version ever published 577 | by the Free Software Foundation. 578 | 579 | If the Program specifies that a proxy can decide which future 580 | versions of the GNU General Public License can be used, that proxy's 581 | public statement of acceptance of a version permanently authorizes you 582 | to choose that version for the Program. 583 | 584 | Later license versions may give you additional or different 585 | permissions. However, no additional obligations are imposed on any 586 | author or copyright holder as a result of your choosing to follow a 587 | later version. 588 | 589 | 15. Disclaimer of Warranty. 590 | 591 | THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY 592 | APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT 593 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY 594 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, 595 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 596 | PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM 597 | IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF 598 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 599 | 600 | 16. Limitation of Liability. 601 | 602 | IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING 603 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS 604 | THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY 605 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE 606 | USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF 607 | DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD 608 | PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), 609 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF 610 | SUCH DAMAGES. 611 | 612 | 17. Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | {one line to give the program's name and a brief idea of what it does.} 635 | Copyright (C) {year} {name of author} 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | {project} Copyright (C) {year} {fullname} 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | --------------------------------------------------------------------------------