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46 lines
1.7 KiB
46 lines
1.7 KiB
#!/usr/bin/env gnuplot
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# Deeper insights can be obtained by querying Laminar's database directly.
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# This example uses gnuplot to create a graph of the distribution of the
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# average run time of jobs.
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# The following will output a png...
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set terminal pngcairo size 800,580 enhanced font 'Helvetica,10'
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set output 'build-time-distribution.png'
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# ..comment it out to use an interactive widget
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# plot style
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set tics font "Helvetica,10"
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set title font "Helvetica,11"
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set xtics nomirror
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set ytics nomirror
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set border 3 back lt 1 lc rgb "#808080"
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set grid back lt 0 lc rgb "#d0d0d0" lw 0.5
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set style line 1 lt 1 lc rgb "#7483af" lw 2
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# Fetch the path to Laminar's sqlite database
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db = system("echo $LAMINAR_HOME") . '/laminar.sqlite'
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# Label the axes
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set xtics ("<30s" 0, "30s-1m" 1, "1m-5m" 2, "5m-10m" 3, "10m-20m" 4, "20m-40m" 5, "40m-60m" 6, ">60m" 7)
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set ylabel "Number of jobs"
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set xlabel "Average run time"
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set title "Distribution of average run times"
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plot '< sqlite3 -separator $''\n'' ' . db . ' \
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"WITH ba AS (SELECT name,AVG(completedAt-startedAt) a FROM builds GROUP BY name) SELECT \
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COUNT(CASE WHEN a < 30 THEN 1 END), \
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COUNT(CASE WHEN a >= 30 AND a < 60 THEN 1 END), \
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COUNT(CASE WHEN a >= 60 AND a < 300 THEN 1 END), \
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COUNT(CASE WHEN a >= 300 AND a < 600 THEN 1 END), \
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COUNT(CASE WHEN a >= 600 AND a < 1200 THEN 1 END), \
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COUNT(CASE WHEN a >= 1200 AND a < 2400 THEN 1 END), \
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COUNT(CASE WHEN a >= 2400 AND a < 3600 THEN 1 END), \
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COUNT(CASE WHEN a >= 3600 THEN 1 END) FROM ba;"' \
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using 0:1 with linespoints title '' ls 1
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# uncomment this if using an interactive window
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#pause mouse close
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# Release the output
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set output |