November 22, 2018
The idea of regular expressions comes from Linguistics and Mathematics
Different people made slightly different computational versions
There are small differences between different programs. We say that Regular Expressions come in different “flavors”
In both cases the characters .*[]^$\ are special
In extended regex the symbols ?{}()+| are also special
You need to use \ to make them “normal”
In basic regex the symbols ?{}()+| are “normal”
But (usually) you can use \ to make them “special”
Extended regex (ab)+ can be Basic regex \(ab\)\+
grepegrepfgrepExample: searching for [ab]|[cd] has different meaning on each case
grep Patterns must be written in quotationsgrep and egrep patterns are regular expressions
regular expressions can have ? and *
The shell can think that ? and * are wildcards
Wildcards are expanded by the shell before being passed as arguments to the program
That is bad for the regular expression
Always wrap the grep pattern in single quotes '
world_2007.txt is a TAB-separated file. The columns represents “country”, “population”, “continent”, “life expectancy”, and “GDP per capita”.
grep 'Turkey' world_2007.txt | cut -f 4,2
71158647 71.777
But that is the wrong order!
grep '135031164.*Africa' world_2007.txt
Nigeria 135031164 Africa 46.859 2013.977305
Which world countries have bigger populations than Nigeria?
Which countries have a little more than 9 million people?
Total GDP = GDP per capita * population
This is a question that we cannot solve with grep and cut
For these advanced questions we have another tool, called awk
Created by Aho, Weinberger, and Kernighan,
AWK is a programming language that permits
awk '$1=="India" {print $2 * $5}' world_2007.txt
2.72293e+12
In awk, each statement has two parts:
We write
awk 'statements' file1 file2 ...
awk process each line of each file, one by one
It can process billions of lines, one by one
Each line is split on whitespace into fields
The columns of the file are called fields, the lines are called records
There are a few commands
You can always do man awk
For today we will use only print
print can take one or more arguments, separated by comma
The value of the argument is printed to the standard output, in a separated line
There are many automatic variables in awk
$1, $2, and so are the fields of each row
$0 is the complete input line
NF is the Number of Fields in the current record
NR is the Number of the current Record
This is a different language
Things are different than in the shell
In particular the symbol $ is only used for fields
awk variables do not need $ to be read
The basic conditions are comparisons
awk '$1=="Turkey"' world_2007.txt
Turkey 71158647 Europe 71.777 8458.276384
awk '$2>135031164' world_2007.txt
Bangladesh 150448339 Asia 64.062 1391.253792 Brazil 190010647 Americas 72.39 9065.800825 China 1318683096 Asia 72.961 4959.114854 India 1110396331 Asia 64.698 2452.210407 Indonesia 223547000 Asia 70.65 3540.651564 Pakistan 169270617 Asia 65.483 2605.94758 United_States 301139947 Americas 78.242 42951.65309
Each awk statement is like this
condition {command}
We can omit the command. It will automatically print all
We can omit the condition. It will work always
{print $0}awk '$1=="Turkey" {print $0}' world_2007.txt
Turkey 71158647 Europe 71.777 8458.276384
can be shortened as
awk '$1=="Turkey"' world_2007.txt
Turkey 71158647 Europe 71.777 8458.276384
We can combine small conditions to make longer conditions
Population over 9 million AND (&&) population less than 10 million
awk '$2 > 9000000 && $2<10000000' world_2007.txt
Bolivia 9119152 Americas 65.554 3822.137084 Dominican_Republic 9319622 Americas 72.235 6025.374752 Guinea 9947814 Africa 56.007 942.6542111 Hungary 9956108 Europe 73.338 18008.94444 Somalia 9118773 Africa 48.159 926.1410683 Sweden 9031088 Europe 80.884 33859.74835
Continent is “Europe” OR (||) “Asia”
awk '$3=="Europe" || $3=="Asia"' world_2007.txt
Afghanistan 31889923 Asia 43.828 974.5803384 Albania 3600523 Europe 76.423 5937.029526 Austria 8199783 Europe 79.829 36126.4927 Bahrain 708573 Asia 75.635 29796.04834 Bangladesh 150448339 Asia 64.062 1391.253792 Belgium 10392226 Europe 79.441 33692.60508 Bosnia_and_Herzegovina 4552198 Europe 74.852 7446.298803 Bulgaria 7322858 Europe 73.005 10680.79282 Cambodia 14131858 Asia 59.723 1713.778686 China 1318683096 Asia 72.961 4959.114854 Croatia 4493312 Europe 75.748 14619.22272 Czech_Republic 10228744 Europe 76.486 22833.30851 Denmark 5468120 Europe 78.332 35278.41874 Finland 5238460 Europe 79.313 33207.0844 France 61083916 Europe 80.657 30470.0167 Germany 82400996 Europe 79.406 32170.37442 Greece 10706290 Europe 79.483 27538.41188 Hong_Kong,_China 6980412 Asia 82.208 39724.97867 Hungary 9956108 Europe 73.338 18008.94444 Iceland 301931 Europe 81.757 36180.78919 India 1110396331 Asia 64.698 2452.210407 Indonesia 223547000 Asia 70.65 3540.651564 Iran 69453570 Asia 70.964 11605.71449 Iraq 27499638 Asia 59.545 4471.061906 Ireland 4109086 Europe 78.885 40675.99635 Israel 6426679 Asia 80.745 25523.2771 Italy 58147733 Europe 80.546 28569.7197 Japan 127467972 Asia 82.603 31656.06806 Jordan 6053193 Asia 72.535 4519.461171 Korea,_Dem._Rep. 23301725 Asia 67.297 1593.06548 Korea,_Rep. 49044790 Asia 78.623 23348.13973 Kuwait 2505559 Asia 77.588 47306.98978 Lebanon 3921278 Asia 71.993 10461.05868 Malaysia 24821286 Asia 74.241 12451.6558 Mongolia 2874127 Asia 66.803 3095.772271 Montenegro 684736 Europe 74.543 9253.896111 Myanmar 47761980 Asia 62.069 944 Nepal 28901790 Asia 63.785 1091.359778 Netherlands 16570613 Europe 79.762 36797.93332 Norway 4627926 Europe 80.196 49357.19017 Oman 3204897 Asia 75.64 22316.19287 Pakistan 169270617 Asia 65.483 2605.94758 Philippines 91077287 Asia 71.688 3190.481016 Poland 38518241 Europe 75.563 15389.92468 Portugal 10642836 Europe 78.098 20509.64777 Romania 22276056 Europe 72.476 10808.47561 Saudi_Arabia 27601038 Asia 72.777 21654.83194 Serbia 10150265 Europe 74.002 9786.534714 Singapore 4553009 Asia 79.972 47143.17964 Slovak_Republic 5447502 Europe 74.663 18678.31435 Slovenia 2009245 Europe 77.926 25768.25759 Spain 40448191 Europe 80.941 28821.0637 Sri_Lanka 20378239 Asia 72.396 3970.095407 Sweden 9031088 Europe 80.884 33859.74835 Switzerland 7554661 Europe 81.701 37506.41907 Syria 19314747 Asia 74.143 4184.548089 Taiwan 23174294 Asia 78.4 28718.27684 Thailand 65068149 Asia 70.616 7458.396327 Turkey 71158647 Europe 71.777 8458.276384 United_Kingdom 60776238 Europe 79.425 33203.26128 Vietnam 85262356 Asia 74.249 2441.576404 West_Bank_and_Gaza 4018332 Asia 73.422 3025.349798 Yemen,_Rep. 22211743 Asia 62.698 2280.769906
We can use regular expression as conditions
awk '/Turkey/' world_2007.txt
Turkey 71158647 Europe 71.777 8458.276384
is the same as
grep 'Turkey' world_2007.txt
Turkey 71158647 Europe 71.777 8458.276384
We can print the row number (NR)
awk '{print NR, $0}' science.txt | head
1 The Electronic Telegraph Thursday 28 September 1995 Science 2 3 This summer the Royal Observatory at Herstmonceux 4 found new life as a science centre. Andro Linklater 5 celebrates a partial victory for the heritage 6 7 THE SIGHT of a child's top spinning unsupported in mid-air should have been 8 surprising. Rotating there in space, it not only defied the rules of gravity, 9 it defied common sense, and at least three Fellows of the Royal Society gazed 10 at it in something close to wonder.
headWe can decide to print or not based on the row number
awk 'NR <= 10 {print NR, $0}' science.txt
1 The Electronic Telegraph Thursday 28 September 1995 Science 2 3 This summer the Royal Observatory at Herstmonceux 4 found new life as a science centre. Andro Linklater 5 celebrates a partial victory for the heritage 6 7 THE SIGHT of a child's top spinning unsupported in mid-air should have been 8 surprising. Rotating there in space, it not only defied the rules of gravity, 9 it defied common sense, and at least three Fellows of the Royal Society gazed 10 at it in something close to wonder.
Each word is a field
awk 'NR <= 10 {print NR, NF, $0}' science.txt
1 8 The Electronic Telegraph Thursday 28 September 1995 Science 2 0 3 7 This summer the Royal Observatory at Herstmonceux 4 9 found new life as a science centre. Andro Linklater 5 7 celebrates a partial victory for the heritage 6 0 7 13 THE SIGHT of a child's top spinning unsupported in mid-air should have been 8 13 surprising. Rotating there in space, it not only defied the rules of gravity, 9 14 it defied common sense, and at least three Fellows of the Royal Society gazed 10 7 at it in something close to wonder.
awk 'NR <= 10 && NF > 0 {print NR, NF, $0}' science.txt
1 8 The Electronic Telegraph Thursday 28 September 1995 Science 3 7 This summer the Royal Observatory at Herstmonceux 4 9 found new life as a science centre. Andro Linklater 5 7 celebrates a partial victory for the heritage 7 13 THE SIGHT of a child's top spinning unsupported in mid-air should have been 8 13 surprising. Rotating there in space, it not only defied the rules of gravity, 9 14 it defied common sense, and at least three Fellows of the Royal Society gazed 10 7 at it in something close to wonder.
awk 'NR <= 10 && NF > 0 {print NR, NF, $NF}' science.txt
1 8 Science 3 7 Herstmonceux 4 9 Linklater 5 7 heritage 7 13 been 8 13 gravity, 9 14 gazed 10 7 wonder.
If there is no condition, the command is run for every line
awk '{print $0, $2 * $5}' world_2007.txt
Afghanistan 31889923 Asia 43.828 974.5803384 3.10793e+10 Albania 3600523 Europe 76.423 5937.029526 2.13764e+10 Algeria 33333216 Africa 72.301 6223.367465 2.07445e+11 Angola 12420476 Africa 42.731 4797.231267 5.95839e+10 Argentina 40301927 Americas 75.32 12779.37964 5.15034e+11 Australia 20434176 Oceania 81.235 34435.36744 7.03658e+11 Austria 8199783 Europe 79.829 36126.4927 2.96229e+11 Bahrain 708573 Asia 75.635 29796.04834 2.11127e+10 Bangladesh 150448339 Asia 64.062 1391.253792 2.09312e+11 Belgium 10392226 Europe 79.441 33692.60508 3.50141e+11 Benin 8078314 Africa 56.728 1441.284873 1.16432e+10 Bolivia 9119152 Americas 65.554 3822.137084 3.48546e+10 Bosnia_and_Herzegovina 4552198 Europe 74.852 7446.298803 3.3897e+10 Botswana 1639131 Africa 50.728 12569.85177 2.06036e+10 Brazil 190010647 Americas 72.39 9065.800825 1.7226e+12 Bulgaria 7322858 Europe 73.005 10680.79282 7.82139e+10 Burkina_Faso 14326203 Africa 52.295 1217.032994 1.74355e+10 Burundi 8390505 Africa 49.58 430.0706916 3.60851e+09 Cambodia 14131858 Asia 59.723 1713.778686 2.42189e+10 Cameroon 17696293 Africa 50.43 2042.09524 3.61375e+10 Canada 33390141 Americas 80.653 36319.23501 1.2127e+12 Central_African_Republic 4369038 Africa 44.741 706.016537 3.08461e+09 Chad 10238807 Africa 50.651 1704.063724 1.74476e+10 Chile 16284741 Americas 78.553 13171.63885 2.14497e+11 China 1318683096 Asia 72.961 4959.114854 6.5395e+12 Colombia 44227550 Americas 72.889 7006.580419 3.09884e+11 Comoros 710960 Africa 65.152 986.1478792 7.01112e+08 Congo,_Dem._Rep. 64606759 Africa 46.462 277.5518587 1.79317e+10 Congo,_Rep. 3800610 Africa 55.322 3632.557798 1.38059e+10 Costa_Rica 4133884 Americas 78.782 9645.06142 3.98716e+10 Cote_d'Ivoire 18013409 Africa 48.328 1544.750112 2.78262e+10 Croatia 4493312 Europe 75.748 14619.22272 6.56887e+10 Cuba 11416987 Americas 78.273 8948.102923 1.0216e+11 Czech_Republic 10228744 Europe 76.486 22833.30851 2.33556e+11 Denmark 5468120 Europe 78.332 35278.41874 1.92907e+11 Djibouti 496374 Africa 54.791 2082.481567 1.03369e+09 Dominican_Republic 9319622 Americas 72.235 6025.374752 5.61542e+10 Ecuador 13755680 Americas 74.994 6873.262326 9.45464e+10 Egypt 80264543 Africa 71.338 5581.180998 4.47971e+11 El_Salvador 6939688 Americas 71.878 5728.353514 3.9753e+10 Equatorial_Guinea 551201 Africa 51.579 12154.08975 6.69935e+09 Eritrea 4906585 Africa 58.04 641.3695236 3.14693e+09 Ethiopia 76511887 Africa 52.947 690.8055759 5.28548e+10 Finland 5238460 Europe 79.313 33207.0844 1.73954e+11 France 61083916 Europe 80.657 30470.0167 1.86123e+12 Gabon 1454867 Africa 56.735 13206.48452 1.92137e+10 Gambia 1688359 Africa 59.448 752.7497265 1.27091e+09 Germany 82400996 Europe 79.406 32170.37442 2.65087e+12 Ghana 22873338 Africa 60.022 1327.60891 3.03668e+10 Greece 10706290 Europe 79.483 27538.41188 2.94834e+11 Guatemala 12572928 Americas 70.259 5186.050003 6.52038e+10 Guinea 9947814 Africa 56.007 942.6542111 9.37735e+09 Guinea-Bissau 1472041 Africa 46.388 579.231743 8.52653e+08 Haiti 8502814 Americas 60.916 1201.637154 1.02173e+10 Honduras 7483763 Americas 70.198 3548.330846 2.65549e+10 Hong_Kong,_China 6980412 Asia 82.208 39724.97867 2.77297e+11 Hungary 9956108 Europe 73.338 18008.94444 1.79299e+11 Iceland 301931 Europe 81.757 36180.78919 1.09241e+10 India 1110396331 Asia 64.698 2452.210407 2.72293e+12 Indonesia 223547000 Asia 70.65 3540.651564 7.91502e+11 Iran 69453570 Asia 70.964 11605.71449 8.06058e+11 Iraq 27499638 Asia 59.545 4471.061906 1.22953e+11 Ireland 4109086 Europe 78.885 40675.99635 1.67141e+11 Israel 6426679 Asia 80.745 25523.2771 1.6403e+11 Italy 58147733 Europe 80.546 28569.7197 1.66126e+12 Jamaica 2780132 Americas 72.567 7320.880262 2.0353e+10 Japan 127467972 Asia 82.603 31656.06806 4.03513e+12 Jordan 6053193 Asia 72.535 4519.461171 2.73572e+10 Kenya 35610177 Africa 54.11 1463.249282 5.21066e+10 Korea,_Dem._Rep. 23301725 Asia 67.297 1593.06548 3.71212e+10 Korea,_Rep. 49044790 Asia 78.623 23348.13973 1.1451e+12 Kuwait 2505559 Asia 77.588 47306.98978 1.1853e+11 Lebanon 3921278 Asia 71.993 10461.05868 4.10207e+10 Lesotho 2012649 Africa 42.592 1569.331442 3.15851e+09 Liberia 3193942 Africa 45.678 414.5073415 1.32391e+09 Libya 6036914 Africa 73.952 12057.49928 7.27901e+10 Madagascar 19167654 Africa 59.443 1044.770126 2.00258e+10 Malawi 13327079 Africa 48.303 759.3499101 1.01199e+10 Malaysia 24821286 Asia 74.241 12451.6558 3.09066e+11 Mali 12031795 Africa 54.467 1042.581557 1.25441e+10 Mauritania 3270065 Africa 64.164 1803.151496 5.89642e+09 Mauritius 1250882 Africa 72.801 10956.99112 1.37059e+10 Mexico 108700891 Americas 76.195 11977.57496 1.30197e+12 Mongolia 2874127 Asia 66.803 3095.772271 8.89764e+09 Montenegro 684736 Europe 74.543 9253.896111 6.33648e+09 Morocco 33757175 Africa 71.164 3820.17523 1.28958e+11 Mozambique 19951656 Africa 42.082 823.6856205 1.64339e+10 Myanmar 47761980 Asia 62.069 944 45087309120 Namibia 2055080 Africa 52.906 4811.060429 9.88711e+09 Nepal 28901790 Asia 63.785 1091.359778 3.15423e+10 Netherlands 16570613 Europe 79.762 36797.93332 6.09764e+11 New_Zealand 4115771 Oceania 80.204 25185.00911 1.03656e+11 Nicaragua 5675356 Americas 72.899 2749.320965 1.56034e+10 Niger 12894865 Africa 56.867 619.6768924 7.99065e+09 Nigeria 135031164 Africa 46.859 2013.977305 2.7195e+11 Norway 4627926 Europe 80.196 49357.19017 2.28421e+11 Oman 3204897 Asia 75.64 22316.19287 7.15211e+10 Pakistan 169270617 Asia 65.483 2605.94758 4.4111e+11 Panama 3242173 Americas 75.537 9809.185636 3.18031e+10 Paraguay 6667147 Americas 71.752 4172.838464 2.78209e+10 Peru 28674757 Americas 71.421 7408.905561 2.12449e+11 Philippines 91077287 Asia 71.688 3190.481016 2.9058e+11 Poland 38518241 Europe 75.563 15389.92468 5.92793e+11 Portugal 10642836 Europe 78.098 20509.64777 2.18281e+11 Puerto_Rico 3942491 Americas 78.746 19328.70901 7.62033e+10 Reunion 798094 Africa 76.442 7670.122558 6.12148e+09 Romania 22276056 Europe 72.476 10808.47561 2.4077e+11 Rwanda 8860588 Africa 46.242 863.0884639 7.64747e+09 Sao_Tome_and_Principe 199579 Africa 65.528 1598.435089 3.19014e+08 Saudi_Arabia 27601038 Asia 72.777 21654.83194 5.97696e+11 Senegal 12267493 Africa 63.062 1712.472136 2.10077e+10 Serbia 10150265 Europe 74.002 9786.534714 9.93359e+10 Sierra_Leone 6144562 Africa 42.568 862.5407561 5.29994e+09 Singapore 4553009 Asia 79.972 47143.17964 2.14643e+11 Slovak_Republic 5447502 Europe 74.663 18678.31435 1.0175e+11 Slovenia 2009245 Europe 77.926 25768.25759 5.17747e+10 Somalia 9118773 Africa 48.159 926.1410683 8.44527e+09 South_Africa 43997828 Africa 49.339 9269.657808 4.07845e+11 Spain 40448191 Europe 80.941 28821.0637 1.16576e+12 Sri_Lanka 20378239 Asia 72.396 3970.095407 8.09036e+10 Sudan 42292929 Africa 58.556 2602.394995 1.10063e+11 Swaziland 1133066 Africa 39.613 4513.480643 5.11407e+09 Sweden 9031088 Europe 80.884 33859.74835 3.0579e+11 Switzerland 7554661 Europe 81.701 37506.41907 2.83348e+11 Syria 19314747 Asia 74.143 4184.548089 8.08235e+10 Taiwan 23174294 Asia 78.4 28718.27684 6.65526e+11 Tanzania 38139640 Africa 52.517 1107.482182 4.2239e+10 Thailand 65068149 Asia 70.616 7458.396327 4.85304e+11 Togo 5701579 Africa 58.42 882.9699438 5.03432e+09 Trinidad_and_Tobago 1056608 Americas 69.819 18008.50924 1.90279e+10 Tunisia 10276158 Africa 73.923 7092.923025 7.2888e+10 Turkey 71158647 Europe 71.777 8458.276384 6.0188e+11 Uganda 29170398 Africa 51.542 1056.380121 3.0815e+10 United_Kingdom 60776238 Europe 79.425 33203.26128 2.01797e+12 United_States 301139947 Americas 78.242 42951.65309 1.29345e+13 Uruguay 3447496 Americas 76.384 10611.46299 3.6583e+10 Venezuela 26084662 Americas 73.747 11415.80569 2.97777e+11 Vietnam 85262356 Asia 74.249 2441.576404 2.08175e+11 West_Bank_and_Gaza 4018332 Asia 73.422 3025.349798 1.21569e+10 Yemen,_Rep. 22211743 Asia 62.698 2280.769906 5.06599e+10 Zambia 11746035 Africa 42.384 1271.211593 1.49317e+10 Zimbabwe 12311143 Africa 43.487 469.7092981 5.78266e+09