Skip to content

Wicked Cool Usage

Jump to bottom Edit New page
Nicolas Venegas edited this page Apr 7, 2023 · 83 revisions

Got any wicked cool usage of spark up your sleeve? Drop your code snippets here.

Add a sparkline "header" to your terminal (@jaybosamiya)

Shows a random sparkline at the top of your terminal each time you clear. Use the lolcat version if you want a rainbow coloured line

alias clear='clear; echo; echo; seq 1 $(tput cols) | sort -R | spark; echo; echo'          # Non coloured
alias clear='clear; echo; echo; seq 1 $(tput cols) | sort -R | spark | lolcat; echo; echo' # Coloured

Display precipitation data from forecast.io (@davidcelis)

Show the intensity of oncoming precipitation for the next hour. This requires an API Key for forecast.io, as well as jq and whereami (brew install jq whereami).

curl -Ss https://api.forecast.io/forecast/$FORECAST_API_KEY/$(whereami) |
    jq ".minutely.data[].precipIntensity * 1000" |
    spark
▅▇█▆▄▃▃▂▂▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁

Display stock data for S&P 500 (@arawde)

You can replace ^GPSC with other symbols (GOOG, etc), and it should work the same. -A 31 gets one month after given date. Dividing field 5 by varying numbers scales the graph to more readable form.

curl http://www.optiontradingtips.com/resources/historical-data/sp500/%5EGSPC.TXT --silent |
    grep "20100331" -A  31 |
    awk -F' ' '{print $5/20}' |
    spark

Record how much time you spend on daily practice (guitar, etc.) (@dbalatero)

Add this script to your $PATH: https://gist.github.com/dbalatero/6443380

practice record 120   # 2 hours, today
practice | spark   # dump out graph

Number of commits in a repo, by author (@holman)

git shortlog -s |
    cut -f1 |
    spark

Number of commits in a repo, by author, over time plus consistent scaling (@kablamo)

Usually, you cannot compare spark graphs, because the scale not consistent between any two graphs. git-spark solves this problem with its --scale option.

    git spark --days 14 Stegosaurus
    Commits by Stegosaurus over the last 14 days
    total: 95   avg: 7   max: 23
    10 15 6 23 5 0 0 1 15 0 17 3 0 0
    ▄▅▂█▂▁▁▁▅▁▆▁▁▁

Total run time of processes (@daveycrockett)

ps -e | 
    tail -n +2 | 
    cut -c 16-23 | 
    sed -e "s/$/))))/" -e "s/:/ + (60 * (/" -e "s/:/ + (60 *(/" | 
    bc | 
    spark

Letter frequencies in a text file (@daveycrockett)

cat <file> | 
    awk -vFS="" '{for(i=1;i<=NF;i++){ if($i~/[a-zA-Z]/) { w[tolower($i)]++} } }END{for(i in w) print i,w[i]}' | 
    sort |
    cut -c 3- |
    spark

Users' login time since last reboot (@ghedamat)

  # get users for a specific group
  # needs to be improved 
  users=$(getent group uquota | cut -d ':' -f 4 | tr ',' '\n')
  gr=""
  for i in $users
    do
    gr="$gr$(last | sort | grep $i | cut -c 67-71 | tr ":" " " | awk 'BEGIN {sum=0;  } {sum += $1*60+$2; } END { print sum}'),"
  done
  spark $gr

Number of HTTP requests per day (@Eyjafjallajokull)

cat /var/log/nginx/access.log | 
    cut -d\  -f 4 | 
    cut -d/ -f 1 | 
    uniq -c | 
    awk '{print $1}'| 
    spark

Histogram of commits throughout the day by author (@vrish88)

git log --pretty=format:'%an: %at' --author="Bob" |
    awk '{system("date -r "$NF" '+%H'")}' |
    sort |
    uniq -c |
    ruby -e 'puts STDIN.readlines.inject(Hash[Array("00".."23").map{|x| [x,0]}]) {|h, x| h.merge(Hash[*x.split(" ").reverse])}.sort.map(&:last)' |
    spark

Visualize your hg commit history (@sunng87)

I wrote a hg extension to aggregate commits by week and generate summary for spark.

hg summary | spark

Silly example of random data

seq 0 100 | sort -R | spark

Print a Git participation graph of last 52 weeks like in GitHub (@shurizzle)

#!/usr/bin/env ruby

require 'ruby-let'

class Time
  def week
    strftime('%U').to_i
  end
end

puts IO.popen('spark', 'w+') {|f|
  f.write Time.now.let {|now, min=(now - 31536000)|
    `git log --pretty=format:'%an: %at'`.split(/\r?\n/).map {|line|
      Time.at(line.split(' ').last.to_i).let {|c|
        ((c.year == min.year && c.week >= min.week) || (c.year == now.year && c.week <= now.week)) ? c : nil
      }
    }.compact.group_by {|x| x.strftime('%G%U') }.inject({}) {|res, (k, v)|
      res[k] = v.size
      res
    }.let {|act|
      (0...52).map {|i|
        act[(min + 604800 * i).strftime('%G%U')] || 0
      }.join(',')
    }
  }
  f.close_write
  f.read
}

Beijing Air Quality Index, PM2.5 (@freewizard, updated by @djbender)

Note: No longer working, because the Twitter v1 API is no longer active.

curl -s https://api.twitter.com/1/statuses/user_timeline.rss?screen_name=beijingair | 
    grep /description | 
    perl -nle "print \$1 if /PM2.5;[^;]+; (\d+)/" | spark

One more Git related: commits for last 2 weeks

for day in $(seq 14 -1 0); do
    git log --before="${day} days" --after="$[${day}+1] days" --format=oneline |
    wc -l
done | spark

(Based on above) Git commits over the last 8 hours for a given author (~ today's activity) (@trisweb)

for hour in $(seq 8 -1 0); do 
    git log --author "Author Name" --before="${hour} hours" --after="$[${hour}+1] hours" --format=oneline | 
    wc -l;
done | spark

Changes in LOC per Git commit (@eush77)

git log --stat |ack '^ \d' |cut -f5,7 -d' ' |tr ' ' '+' |bc |tac |spark

Visualize filesize inside a directory(@lemen)

    du -BM * | 
    cut -dM -f1 | 
    spark

Animation and colors with Lolcat (@secondplanet)

spark 1 18 9 4 10 | lolcat -p 0.5 # Colored graph
spark 1 18 9 4 10 | lolcat -a # Animated rainbow graph

Visualize users created by week on a rails project Caleb Thompson 

    bundle exec rails r "User.all.group_by{|u| u.created_at.strftime('%W')}.sort.each{|w,u| puts u.count}" |
    spark

WiFi link quality (@cryptix)

For windows signal-strength demo, see https://github.com/holman/spark/issues/100#issuecomment-586746196

   if [ $(ifconfig wlan0 | grep UP | wc -l) -eq 1 ]
   then
     _linkQual="`iwconfig wlan0 | grep Quality | cut -d'=' -f2 | cut -d' ' -f1 | cut -d'/' -f1`"
 
     if [ $_linkQual -gt 52 ] # >75% link qual
     then
       _linkSparked=$(spark 1 2 3 4)
     elif [ $_linkQual -gt 35 ] # >50% link qual
     then
       _linkSparked=$(spark 1 2 3 0)
     elif [ $_linkQual -gt 17 ] # 25% link qual
     then
       _linkSparked=$(spark 1 2 0 0)
     elif [ $_linkQual -gt 7 ] # 25% link qual
     then
       _linkSparked=$(spark 1 0 0 0)
     else # < 25%
       _linkSparked=$(spark 0 0 0 0)
     fi

     echo $_linkSparked
   fi

Load average (@tsujigiri)

echo "$(cat /proc/loadavg | cut -d ' ' -f 1-3) $(egrep -c '^processor' /proc/cpuinfo)00 0" | sed 's/\(0\.\|0\.0\|\.\)//g' | spark | tail -n 1 | cut -b 1-9

Load average (for Mac)

echo "$(uptime | cut -d ':' -f 5) $(nproc)00 0" | gsed 's/\(0\.\|0\.0\|\.\)//g' | spark | tail -n 1 | cut -b 1-9

Load history from atop 

atop -P CPL -b 16:00 -e 18:00 -r /var/log/atop/atop_20130215 | 
   grep -v SEP | 
   awk '{print $8}' | 
   spark

Memory usage (@tsujigiri)

total=$(grep 'MemTotal' /proc/meminfo | egrep -o '[0-9]+')
not_apps=0
for mem in $(egrep '(MemFree|Buffers|Cached|Slab|PageTables|SwapCached)' /proc/meminfo | egrep -o '[0-9]+'); do
  not_apps=$((not_apps+mem))
done
spark $((total-not_apps)) $total 0 | tail -n 1 | cut -b 1-3

Current SVN status in your prompt (Evan Powell)

svnstatgraph.sh:

if [ -d .svn ]; then
    GRAPH=`svn stat | awk '{ split($0, a, " ")  arr[a[1]]++ }END{ print arr["M"] ? arr["M"] : "0", arr["A"] ? arr["A"] : "0", arr["?"] ? arr["?"] : "0", arr["D"] ? arr["D"] : "0", arr["!"] ? arr["!"] : "0" }' | spark`
    # More descriptive prompt:
    #echo "[MA?D!|$GRAPH]"
    echo "[$GRAPH]"
fi

~/.bashrc:

PS1 = '<your_prompt_here>`svnstatgraph.sh`\$'

Visualize bubble sort (@onesuper)

#!/bin/bash

array=(4 3 2 5 1)
arrayLen=${#array[@]}

for ((j=0; j<$arrayLen-1; j++)); do
    for ((i=0; i<$arrayLen-$j-1; i++)); do
        if [ "${array[$i]}" -gt "${array[$i+1]}" ]; then
            temp=${array[$i]}
            array[$i]=${array[$i+1]}
            array[$i+1]=$temp
        fi
        spark ${array[@]}
    done
    echo '---------------------'
done

Visualize ping times (@jnovinger)

ping -c 10 google.com | tee >(grep "bytes from" | cut -d " " -f 8 | cut -d "=" -f 2 | spark)

Or perhaps ping -c 10 google.com | tee >(grep -oP 'time=\K\S*' | spark)

Show ping times to a bunch of hosts with fping (@joshuar)

fping -C 5 -q google.com gmail.google.com drive.google.com plus.google.com 2>&1 | awk '{print int($3)}' | xargs spark

Show stats of commits per day by given author (@kstep)

git log --author="Author Name" --format=format:%ad --date=short | uniq -c | awk '{print $1}' | spark

Disk file usage (@gfelisberto)

df -P -x devtmpfs -x tmpfs | grep dev | awk '{print $5}' | sed s'/.$//' | spark

Hourly wind speed data from an NOAA buoy, by author (@efg34)

curl -s http://www.ndbc.noaa.gov/station_page.php?station=wpow1 | grep "<tr bgcolor=\"#f" | awk -F\<td\> '{print $6}' | cut -c -5 | spark

Weather via http://openweathermap.org (@leoboiko)

#!/bin/bash
# dumb json "parsing", could be better with jshon or similar
city="São Paulo,BR" # city="$1"
cityid=$(wget -q -O - "http://openweathermap.org/data/2.1/find/name?q=$city" \
  | python -mjson.tool \
  | sed -n -e 's/.*\<id.: *\([0-9]*\).*/\1/p' \
  | head -n 1)


wget -q -O - "http://openweathermap.org/data/2.1/history/city/?id=$cityid&cnt=80" \
  | python -mjson.tool \
  | sed -n -e "s/.*\<temp.: *\\(([0-9.]*\)).*/\1/p" \
  | spark

Zabbix API history graph results (@christianchristensen)

(more info: https://gist.github.com/christianchristensen/7406950)

curl -s -H 'Content-type: application/json' https://www.zabbix.org/zabbix/api_jsonrpc.php -d '{ "jsonrpc": "2.0", "method": "history.get", "params":{ "output":"extend", "history":0, "time_from":"1384134836", "time_till":"1384138446", "itemids":["16"] }, "id": 123,"auth":"ac905749516dd173668f3dbf7b0cac0a" }' \
| grep -o "\"value\":\"[0-9\.]*\"," \
| awk -F\" '{print $4*100}' \
| spark
▃▄▃▂▃▂▁▁▃▃▂▂▂▁▂▁▄▂▄▄▃▁▂▂▂▂█▇▅▃▂▂▃▂▃▂▁▁▁▅▅▆▄▂▁▁▂▄▄▂▄▂▁▁▃▁▂▂▁▁

A moving wave through the terminal (@lemen)

function sine_wave() {
	
	i=0
	while true
	do 
		SIN=$(python -c "from math import *;print map( lambda x: ceil(6*sin((x+$i)*pi/5)), range($(tput cols)) )" | tr -d '[]' | spark)
		echo -ne $SIN\\r 
		let i=i+1
		sleep 0.05
	done
	echo
}

UptimeRobot response time (@dlc)

$ curl -sS "http://api.uptimerobot.com/getMonitors?apiKey=${UPTIMEROBOT_TOKEN}&format=xml&responseTimes=1&monitors=${MON_ID}" | \
  xmllint --xpath '//responsetime/@value' - | \
  tr -c '0-9 ' "\n" | \
  grep -v "^$" | \
  head -n $COLUMNS | \
  spark 
▃▇▁▂▄▃▂▂▅▁▂█▃▂▃▃▃▁▂▂▃▂▅▁▁▁▃▂▁▃▂▁▄▁▁▃▂▆▁▃▃▃▁▁▃▁▁▂▄▅▅▄▂▂▃▁▄▂▃▁

Bitcoin value over the last 24 hours (@monkeyinmysoup)

Python script in this Gist.

Keen IO open data set visualization (@dzello)

# Bitcoin value over the last 30 minutes
$ gem install keen-cli
$ keen average \
  --project 53f3a8687d8cb95095000001 \
  --collection bitcoin-prices \
  --target-property "USD.averages.last" \
  --timeframe last_30_minutes \
  --interval minutely \
  --read-key 99a06e48fd7fb1279bc40995160eb0b61a9e0efaab8b651b029f0d895f77c0a804ba089282eff28bf8ad07f337422441d0542b7feaac9fea1e92fc153ee7efc51afad3276bda8d7754a338b349d540bfb402cba0dfdc82498c217054efd8abd0f47a0c0bc963bbdf0dc938c91b17d9f2 \
  --spark | spark
▁▂▂▂▂▂▂▂▁▁▁▂▂▂▂▄▄▂▂▄▄▂▂▄▆█████

Visualize streaming data with a scrolling spark line.(@iandow)

Save this script as scroll.sh and invoke with ./scroll.sh datafile.

#!/bin/bash
while true; do
    printf "%${COLUMNS}s"
    echo -ne "\r"
    tail -n $(tput cols) $1 | spark | tr -d "\n"
    echo -ne "\r"
    sleep 1
done

Monitor Bitcoin price (@overtorment)

Monitor Bitcoin price in hourly popups via crontab

1 * * * * curl https://www.bitstamp.net/api/v2/ticker/btcusd/ 2>/dev/null  | sed  's/\,/\n/g' | grep last | awk  -F':' '{print $2}'  | sed 's/\"//g' >> ~/btcusd
2 * * * * export DISPLAY=:0; cat ~/btcusd | tail -n 23  | /usr/local/bin/spark | xargs /usr/bin/notify-send -t 30000 "btc/usd change graph (hourly)"

Get list block device (@cazzhd)

lsblk -b -n | awk '{print $4}' | spark

Specify upper and lower bounds to accurately scale data (@nicvenegas)

spark will scale the minimum & maximum observed values to 0 and full-height, respectively. This might not always be what you want, especially with sparse data.

For example, if your data represents a count of rainy days in a week, you'd get the following (where 3 maps to the block we'd normally think of as zero):

$ spark 3 5
▁█

Add the following to your shell startup file:

function sparkline() {
  if [[ $# -lt 3 ]]; then
    echo usage: "$0" lower-bound upper-bound values…
  else
    spark "$@" | cut -c3-    
  fi
}

And compare

$ spark 3 5
▁█
$ sparkline 0 7 3 5
▄▆
Add a custom footer
Add a custom sidebar
Clone this wiki locally