SlideShare a Scribd company logo
1 of 36
Regular Expressions
  grep and egrep
Previously
• Basic UNIX Commands
   – Files: rm, cp, mv, ls, ln
   – Processes: ps, kill
• Unix Filters
   –   cat, head, tail, tee, wc
   –   cut, paste
   –   find
   –   sort, uniq
   –   tr
Subtleties of commands
•   Executing commands with find
•   Specification of columns in cut
•   Specification of columns in sort
•   Methods of input
    – Standard in
    – File name arguments
    – Special "-" filename
• Options for uniq
Today
• Regular Expressions
  – Allow you to search for text in files
  – grep command
• Stream manipulation:
  – sed
Regular Expressions
What Is a Regular Expression?
• A regular expression (regex) describes a set of
  possible input strings.
• Regular expressions descend from a fundamental
  concept in Computer Science called finite
  automata theory
• Regular expressions are endemic to Unix
   –   vi, ed, sed, and emacs
   –   awk, tcl, perl and Python
   –   grep, egrep, fgrep
   –   compilers
Regular Expressions
• The simplest regular expressions are a
  string of literal characters to match.
• The string matches the regular expression if
  it contains the substring.
regular expression    c k s


UNIX Tools rocks.

                        match



UNIX Tools sucks.
                        match



UNIX Tools is okay.
                        no match
Regular Expressions
• A regular expression can match a string in
  more than one place.

            regular expression   a p p l e

  Scrapple from the apple.
         match 1                   match 2
Regular Expressions
• The . regular expression can be used to
  match any character.
                regular expression       o .

     For me to poop on.
      match 1                  match 2
Character Classes
• Character classes [] can be used to match
  any specific set of characters.

             regular expression   b [eor] a t

 beat a brat on a boat
   match 1      match 2           match 3
Negated Character Classes
• Character classes can be negated with the
  [^] syntax.

           regular expression   b [^eo] a t

 beat a brat on a boat
              match
More About Character Classes
   – [aeiou] will match any of the characters a, e, i, o,
     or u
   – [kK]orn will match korn or Korn
• Ranges can also be specified in character classes
   – [1-9] is the same as [123456789]
   – [abcde] is equivalent to [a-e]
   – You can also combine multiple ranges
      • [abcde123456789] is equivalent to [a-e1-9]
   – Note that the - character has a special meaning in a
     character class but only if it is used within a range,
     [-123] would match the characters -, 1, 2, or 3
Named Character Classes
• Commonly used character classes can be
  referred to by name (alpha, lower, upper,
  alnum, digit, punct, cntrl)
• Syntax [:name:]
  – [a-zA-Z]         [[:alpha:]]
  – [a-zA-Z0-9]      [[:alnum:]]
  – [45a-z]          [45[:lower:]]
• Important for portability across languages
Anchors
• Anchors are used to match at the beginning or end
  of a line (or both).
• ^ means beginning of the line
• $ means end of the line
regular expression         ^ b [eor] a t

beat a brat on a boat
  match


regular expression        b [eor] a t $

  beat a brat on a boat
                                   match


                     ^word$         ^$
Repetition
• The * is used to define zero or more
  occurrences of the single regular expression
  preceding it.
regular expression        y a * y

I got mail, yaaaaaaaaaay!
                                match



          regular expression        o a * o

 For me to poop on.
                      match


                           .*
Match length
• A match will be the longest string that
  satisfies the regular expression.

            regular expression   a . * e

  Scrapple from the apple.
           no             no        yes
Repetition Ranges
• Ranges can also be specified
  – { } notation can specify a range of repetitions
    for the immediately preceding regex
  – {n} means exactly n occurrences
  – {n,} means at least n occurrences
  – {n,m} means at least n occurrences but no
    more than m occurrences
• Example:
  – .{0,} same as .*
  – a{2,} same as aaa*
Subexpressions
• If you want to group part of an expression so that
  * or { } applies to more than just the previous
  character, use ( ) notation
• Subexpresssions are treated like a single character
   – a* matches 0 or more occurrences of a
   – abc* matches ab, abc, abcc, abccc, …
   – (abc)* matches abc, abcabc, abcabcabc, …
   – (abc){2,3} matches abcabc or abcabcabc
grep
• grep comes from the ed (Unix text editor) search
  command “global regular expression print” or
  g/re/p
• This was such a useful command that it was
  written as a standalone utility
• There are two other variants, egrep and fgrep that
  comprise the grep family
• grep is the answer to the moments where you
  know you want the file that contains a specific
  phrase but you can’t remember its name
Family Differences
• grep - uses regular expressions for pattern
  matching
• fgrep - file grep, does not use regular expressions,
  only matches fixed strings but can get search
  strings from a file
• egrep - extended grep, uses a more powerful set of
  regular expressions but does not support
  backreferencing, generally the fastest member of
  the grep family
• agrep – approximate grep; not standard
Syntax
• Regular expression concepts we have seen so
  far are common to grep and egrep.
• grep and egrep have slightly different syntax
  – grep: BREs
  – egrep: EREs (enhanced features we will discuss)
• Major syntax differences:
  – grep: ( and ), { and }
  – egrep: ( and ), { and }
Protecting Regex
            Metacharacters
• Since many of the special characters used in
  regexs also have special meaning to the
  shell, it’s a good idea to get in the habit of
  single quoting your regexs
  – This will protect any special characters from
    being operated on by the shell
  – If you habitually do it, you won’t have to worry
    about when it is necessary
Escaping Special Characters
• Even though we are single quoting our regexs so the
  shell won’t interpret the special characters, some
  characters are special to grep (eg * and .)
• To get literal characters, we escape the character with
  a  (backslash)
• Suppose we want to search for the character sequence
  a*b*
   – Unless we do something special, this will match zero or
     more ‘a’s followed by zero or more ‘b’s, not what we want
   – a*b* will fix this - now the asterisks are treated as
     regular characters
Egrep: Alternation
• Regex also provides an alternation character | for
  matching one or another subexpression
   – (T|Fl)an will match ‘Tan’ or ‘Flan’
   – ^(From|Subject): will match the From and
     Subject lines of a typical email message
      • It matches a beginning of line followed by either the characters
        ‘From’ or ‘Subject’ followed by a ‘:’
• Subexpressions are used to limit the scope of the
  alternation
   – At(ten|nine)tion then matches “Attention” or
     “Atninetion”, not “Atten” or “ninetion” as would
     happen without the parenthesis - Atten|ninetion
Egrep: Repetition Shorthands
• The * (star) has already been seen to specify zero
  or more occurrences of the immediately preceding
  character
• + (plus) means “one or more”
    abc+d will match ‘abcd’, ‘abccd’, or ‘abccccccd’ but
     will not match ‘abd’
    Equivalent to {1,}
Egrep: Repetition Shorthands cont
• The ‘?’ (question mark) specifies an optional character,
  the single character that immediately precedes it
    July? will match ‘Jul’ or ‘July’
    Equivalent to {0,1}
    Also equivalent to (Jul|July)
• The *, ?, and + are known as quantifiers because they
  specify the quantity of a match
• Quantifiers can also be used with subexpressions
   – (a*c)+ will match ‘c’, ‘ac’, ‘aac’ or ‘aacaacac’ but will not
      match ‘a’ or a blank line
Grep: Backreferences
• Sometimes it is handy to be able to refer to a
  match that was made earlier in a regex
• This is done using backreferences
   – n is the backreference specifier, where n is a number
• Looks for nth subexpression
• For example, to find if the first word of a line is
  the same as the last:
   – ^([[:alpha:]]{1,}) .* 1$
   – The ([[:alpha:]]{1,}) matches 1 or more
     letters
Practical Regex Examples
• Variable names in C
  – [a-zA-Z_][a-zA-Z_0-9]*
• Dollar amount with optional cents
  – $[0-9]+(.[0-9][0-9])?
• Time of day
  – (1[012]|[1-9]):[0-5][0-9] (am|pm)
• HTML headers <h1> <H1> <h2> …
  – <[hH][1-4]>
grep Family
• Syntax
  grep [-hilnv] [-e expression] [filename]
  egrep [-hilnv] [-e expression] [-f filename] [expression]
    [filename]
  fgrep [-hilnxv] [-e string] [-f filename] [string] [filename]
  – -h Do not display filenames
  – -i Ignore case
  – -l List only filenames containing matching lines
  – -n Precede each matching line with its line number
  – -v Negate matches
  – -x Match whole line only (fgrep only)
  – -e expression Specify expression as option
  – -f filename       Take the regular expression (egrep) or
                      a list of strings (fgrep) from filename
grep Examples
   •   grep 'men' GrepMe
   •   grep 'fo*' GrepMe
   •   egrep 'fo+' GrepMe
   •   egrep -n '[Tt]he' GrepMe
   •   fgrep 'The' GrepMe
   •   egrep 'NC+[0-9]*A?' GrepMe
   •   fgrep -f expfile GrepMe
• Find all lines with signed numbers
       $ egrep ’[-+][0-9]+.?[0-9]*’ *.c
       bsearch. c: return -1;
       compile. c: strchr("+1-2*3", t-> op)[1] - ’0’, dst,
       convert. c: Print integers in a given base 2-16 (default 10)
       convert. c: sscanf( argv[ i+1], "% d", &base);
       strcmp. c: return -1;
       strcmp. c: return +1;
• egrep has its limits: For example, it cannot match all lines that
  contain a number divisible by 7.
Fun with the Dictionary
• /usr/dict/words contains about 25,000 words
   – egrep hh /usr/dict/words
      • beachhead
      • highhanded
      • withheld
      • withhold
• egrep as a simple spelling checker: Specify plausible
  alternatives you know
   egrep "n(ie|ei)ther" /usr/dict/words
   neither
• How many words have 3 a’s one letter apart?
   – egrep a.a.a /usr/dict/words | wc –l
      • 54
   – egrep u.u.u /usr/dict/words
      • cumulus
Other Notes
• Use /dev/null as an extra file name
  – Will print the name of the file that matched
      • grep test bigfile
         – This is a test.
      • grep test /dev/null bigfile
         – bigfile:This is a test.

• Return code of grep is useful
  –   grep fred filename > /dev/null && rm filename
This is one line of text                                                input line
              o.*o                                                          regular expression
   x        Ordinary characters match themselves

    xyz
            (NEWLINES and metacharacters excluded)
            Ordinary strings match themselves
                                                                 fgrep, grep, egrep
    m      Matches literal character m
     ^      Start of line
     $      End of line
      .     Any single character
 [xy^$x]    Any of x, y, ^, $, or z
[^xy^$z]    Any one character other than x, y, ^, $, or z        grep, egrep
   [a-z]    Any single character in given range
     r*     zero or more occurrences of regex r
   r1r2     Matches r1 followed by r2
  (r)     Tagged regular expression, matches r
   n       Set to what matched the nth tagged expression
            (n = 1-9)                                            grep
 {n,m}    Repetition
    r+      One or more occurrences of r
    r?      Zero or one occurrences of r
   r1|r2    Either r1 or r2
(r1|r2)r3
 (r1|r2)*
            Either r1r3 or r2r3
            Zero or more occurrences of r1|r2, e.g., r1, r1r1,   egrep
                                                                                Quick
                                                                               Reference
            r2r1, r1r1r2r1,…)
 {n,m}      Repetition

More Related Content

What's hot (20)

Stack and heap
Stack and heapStack and heap
Stack and heap
 
Unix And Shell Scripting
Unix And Shell ScriptingUnix And Shell Scripting
Unix And Shell Scripting
 
Linux IO
Linux IOLinux IO
Linux IO
 
JavaScript - Chapter 8 - Objects
 JavaScript - Chapter 8 - Objects JavaScript - Chapter 8 - Objects
JavaScript - Chapter 8 - Objects
 
C++ Files and Streams
C++ Files and Streams C++ Files and Streams
C++ Files and Streams
 
tmux
tmuxtmux
tmux
 
.NET and C# Introduction
.NET and C# Introduction.NET and C# Introduction
.NET and C# Introduction
 
Looping statements in Java
Looping statements in JavaLooping statements in Java
Looping statements in Java
 
Rust vs C++
Rust vs C++Rust vs C++
Rust vs C++
 
PHP - Introduction to File Handling with PHP
PHP -  Introduction to  File Handling with PHPPHP -  Introduction to  File Handling with PHP
PHP - Introduction to File Handling with PHP
 
Introduction to shell scripting
Introduction to shell scriptingIntroduction to shell scripting
Introduction to shell scripting
 
Java Memory Management Tricks
Java Memory Management Tricks Java Memory Management Tricks
Java Memory Management Tricks
 
Shell_Scripting.ppt
Shell_Scripting.pptShell_Scripting.ppt
Shell_Scripting.ppt
 
C fundamental
C fundamentalC fundamental
C fundamental
 
Guía de pgpool Paso a Paso
Guía de pgpool Paso a PasoGuía de pgpool Paso a Paso
Guía de pgpool Paso a Paso
 
Php variables (english)
Php variables (english)Php variables (english)
Php variables (english)
 
Hot C++: Rvalue References And Move Semantics
Hot C++: Rvalue References And Move SemanticsHot C++: Rvalue References And Move Semantics
Hot C++: Rvalue References And Move Semantics
 
LDAP
LDAPLDAP
LDAP
 
Javascript conditional statements
Javascript conditional statementsJavascript conditional statements
Javascript conditional statements
 
Grep - A powerful search utility
Grep - A powerful search utilityGrep - A powerful search utility
Grep - A powerful search utility
 

Viewers also liked

Viewers also liked (20)

Unix command-line tools
Unix command-line toolsUnix command-line tools
Unix command-line tools
 
Grep
GrepGrep
Grep
 
Learning Grep
Learning GrepLearning Grep
Learning Grep
 
UNIX - Class6 - sed - Detail
UNIX - Class6 - sed - DetailUNIX - Class6 - sed - Detail
UNIX - Class6 - sed - Detail
 
Linux 101-hacks
Linux 101-hacksLinux 101-hacks
Linux 101-hacks
 
Learning sed and awk
Learning sed and awkLearning sed and awk
Learning sed and awk
 
Linux intro 3 grep + Unix piping
Linux intro 3 grep + Unix pipingLinux intro 3 grep + Unix piping
Linux intro 3 grep + Unix piping
 
Sed & awk the dynamic duo
Sed & awk   the dynamic duoSed & awk   the dynamic duo
Sed & awk the dynamic duo
 
shell programming training | shell programming classes | unix shell programmi...
shell programming training | shell programming classes | unix shell programmi...shell programming training | shell programming classes | unix shell programmi...
shell programming training | shell programming classes | unix shell programmi...
 
Php String And Regular Expressions
Php String  And Regular ExpressionsPhp String  And Regular Expressions
Php String And Regular Expressions
 
Unix
UnixUnix
Unix
 
Awk Unix Utility Explained
Awk Unix Utility ExplainedAwk Unix Utility Explained
Awk Unix Utility Explained
 
Unix day2 v1.3
Unix day2 v1.3Unix day2 v1.3
Unix day2 v1.3
 
Unix day3 v1.3
Unix day3 v1.3Unix day3 v1.3
Unix day3 v1.3
 
Testingtechniques And Strategy
Testingtechniques And StrategyTestingtechniques And Strategy
Testingtechniques And Strategy
 
Linux 101 Exploring Linux OS
Linux 101 Exploring Linux OSLinux 101 Exploring Linux OS
Linux 101 Exploring Linux OS
 
Unix day4 v1.3
Unix day4 v1.3Unix day4 v1.3
Unix day4 v1.3
 
Unix
UnixUnix
Unix
 
What Linux is what you should also have on your computer.
What Linux is what you should also have on your computer.What Linux is what you should also have on your computer.
What Linux is what you should also have on your computer.
 
Advanced Shell Scripting
Advanced Shell ScriptingAdvanced Shell Scripting
Advanced Shell Scripting
 

Similar to Regular Expressions grep and egrep

Course 102: Lecture 13: Regular Expressions
Course 102: Lecture 13: Regular Expressions Course 102: Lecture 13: Regular Expressions
Course 102: Lecture 13: Regular Expressions Ahmed El-Arabawy
 
Bioinformatics p2-p3-perl-regexes v2013-wim_vancriekinge
Bioinformatics p2-p3-perl-regexes v2013-wim_vancriekingeBioinformatics p2-p3-perl-regexes v2013-wim_vancriekinge
Bioinformatics p2-p3-perl-regexes v2013-wim_vancriekingeProf. Wim Van Criekinge
 
Introduction to Regular Expressions RootsTech 2013
Introduction to Regular Expressions RootsTech 2013Introduction to Regular Expressions RootsTech 2013
Introduction to Regular Expressions RootsTech 2013Ben Brumfield
 
Looking for Patterns
Looking for PatternsLooking for Patterns
Looking for PatternsKeith Wright
 
Regular expressions
Regular expressionsRegular expressions
Regular expressionsEran Zimbler
 
Php Chapter 4 Training
Php Chapter 4 TrainingPhp Chapter 4 Training
Php Chapter 4 TrainingChris Chubb
 
Don't Fear the Regex - CapitalCamp/GovDays 2014
Don't Fear the Regex - CapitalCamp/GovDays 2014Don't Fear the Regex - CapitalCamp/GovDays 2014
Don't Fear the Regex - CapitalCamp/GovDays 2014Sandy Smith
 
Maxbox starter20
Maxbox starter20Maxbox starter20
Maxbox starter20Max Kleiner
 
unit-4 regular expression.pptx
unit-4 regular expression.pptxunit-4 regular expression.pptx
unit-4 regular expression.pptxPadreBhoj
 
Regular expressions
Regular expressionsRegular expressions
Regular expressionsRaghu nath
 

Similar to Regular Expressions grep and egrep (20)

Course 102: Lecture 13: Regular Expressions
Course 102: Lecture 13: Regular Expressions Course 102: Lecture 13: Regular Expressions
Course 102: Lecture 13: Regular Expressions
 
Andrei's Regex Clinic
Andrei's Regex ClinicAndrei's Regex Clinic
Andrei's Regex Clinic
 
Bioinformatics p2-p3-perl-regexes v2013-wim_vancriekinge
Bioinformatics p2-p3-perl-regexes v2013-wim_vancriekingeBioinformatics p2-p3-perl-regexes v2013-wim_vancriekinge
Bioinformatics p2-p3-perl-regexes v2013-wim_vancriekinge
 
Bioinformatica p2-p3-introduction
Bioinformatica p2-p3-introductionBioinformatica p2-p3-introduction
Bioinformatica p2-p3-introduction
 
Bioinformatics p2-p3-perl-regexes v2014
Bioinformatics p2-p3-perl-regexes v2014Bioinformatics p2-p3-perl-regexes v2014
Bioinformatics p2-p3-perl-regexes v2014
 
Working with text, Regular expressions
Working with text, Regular expressionsWorking with text, Regular expressions
Working with text, Regular expressions
 
Introduction to Regular Expressions RootsTech 2013
Introduction to Regular Expressions RootsTech 2013Introduction to Regular Expressions RootsTech 2013
Introduction to Regular Expressions RootsTech 2013
 
Looking for Patterns
Looking for PatternsLooking for Patterns
Looking for Patterns
 
Python - Lecture 7
Python - Lecture 7Python - Lecture 7
Python - Lecture 7
 
Regular Expressions
Regular ExpressionsRegular Expressions
Regular Expressions
 
Regular expressions
Regular expressionsRegular expressions
Regular expressions
 
Php Chapter 4 Training
Php Chapter 4 TrainingPhp Chapter 4 Training
Php Chapter 4 Training
 
Don't Fear the Regex - CapitalCamp/GovDays 2014
Don't Fear the Regex - CapitalCamp/GovDays 2014Don't Fear the Regex - CapitalCamp/GovDays 2014
Don't Fear the Regex - CapitalCamp/GovDays 2014
 
Maxbox starter20
Maxbox starter20Maxbox starter20
Maxbox starter20
 
Regular expressions
Regular expressionsRegular expressions
Regular expressions
 
Regex posix
Regex posixRegex posix
Regex posix
 
2013 - Andrei Zmievski: Clínica Regex
2013 - Andrei Zmievski: Clínica Regex2013 - Andrei Zmievski: Clínica Regex
2013 - Andrei Zmievski: Clínica Regex
 
unit-4 regular expression.pptx
unit-4 regular expression.pptxunit-4 regular expression.pptx
unit-4 regular expression.pptx
 
Regular expressions
Regular expressionsRegular expressions
Regular expressions
 
Regular expressions
Regular expressionsRegular expressions
Regular expressions
 

Recently uploaded

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdfChristopherTHyatt
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 

Recently uploaded (20)

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdf
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 

Regular Expressions grep and egrep

  • 1. Regular Expressions grep and egrep
  • 2. Previously • Basic UNIX Commands – Files: rm, cp, mv, ls, ln – Processes: ps, kill • Unix Filters – cat, head, tail, tee, wc – cut, paste – find – sort, uniq – tr
  • 3. Subtleties of commands • Executing commands with find • Specification of columns in cut • Specification of columns in sort • Methods of input – Standard in – File name arguments – Special "-" filename • Options for uniq
  • 4. Today • Regular Expressions – Allow you to search for text in files – grep command • Stream manipulation: – sed
  • 6. What Is a Regular Expression? • A regular expression (regex) describes a set of possible input strings. • Regular expressions descend from a fundamental concept in Computer Science called finite automata theory • Regular expressions are endemic to Unix – vi, ed, sed, and emacs – awk, tcl, perl and Python – grep, egrep, fgrep – compilers
  • 7. Regular Expressions • The simplest regular expressions are a string of literal characters to match. • The string matches the regular expression if it contains the substring.
  • 8. regular expression c k s UNIX Tools rocks. match UNIX Tools sucks. match UNIX Tools is okay. no match
  • 9. Regular Expressions • A regular expression can match a string in more than one place. regular expression a p p l e Scrapple from the apple. match 1 match 2
  • 10. Regular Expressions • The . regular expression can be used to match any character. regular expression o . For me to poop on. match 1 match 2
  • 11. Character Classes • Character classes [] can be used to match any specific set of characters. regular expression b [eor] a t beat a brat on a boat match 1 match 2 match 3
  • 12. Negated Character Classes • Character classes can be negated with the [^] syntax. regular expression b [^eo] a t beat a brat on a boat match
  • 13. More About Character Classes – [aeiou] will match any of the characters a, e, i, o, or u – [kK]orn will match korn or Korn • Ranges can also be specified in character classes – [1-9] is the same as [123456789] – [abcde] is equivalent to [a-e] – You can also combine multiple ranges • [abcde123456789] is equivalent to [a-e1-9] – Note that the - character has a special meaning in a character class but only if it is used within a range, [-123] would match the characters -, 1, 2, or 3
  • 14. Named Character Classes • Commonly used character classes can be referred to by name (alpha, lower, upper, alnum, digit, punct, cntrl) • Syntax [:name:] – [a-zA-Z] [[:alpha:]] – [a-zA-Z0-9] [[:alnum:]] – [45a-z] [45[:lower:]] • Important for portability across languages
  • 15. Anchors • Anchors are used to match at the beginning or end of a line (or both). • ^ means beginning of the line • $ means end of the line
  • 16. regular expression ^ b [eor] a t beat a brat on a boat match regular expression b [eor] a t $ beat a brat on a boat match ^word$ ^$
  • 17. Repetition • The * is used to define zero or more occurrences of the single regular expression preceding it.
  • 18. regular expression y a * y I got mail, yaaaaaaaaaay! match regular expression o a * o For me to poop on. match .*
  • 19. Match length • A match will be the longest string that satisfies the regular expression. regular expression a . * e Scrapple from the apple. no no yes
  • 20. Repetition Ranges • Ranges can also be specified – { } notation can specify a range of repetitions for the immediately preceding regex – {n} means exactly n occurrences – {n,} means at least n occurrences – {n,m} means at least n occurrences but no more than m occurrences • Example: – .{0,} same as .* – a{2,} same as aaa*
  • 21. Subexpressions • If you want to group part of an expression so that * or { } applies to more than just the previous character, use ( ) notation • Subexpresssions are treated like a single character – a* matches 0 or more occurrences of a – abc* matches ab, abc, abcc, abccc, … – (abc)* matches abc, abcabc, abcabcabc, … – (abc){2,3} matches abcabc or abcabcabc
  • 22. grep • grep comes from the ed (Unix text editor) search command “global regular expression print” or g/re/p • This was such a useful command that it was written as a standalone utility • There are two other variants, egrep and fgrep that comprise the grep family • grep is the answer to the moments where you know you want the file that contains a specific phrase but you can’t remember its name
  • 23. Family Differences • grep - uses regular expressions for pattern matching • fgrep - file grep, does not use regular expressions, only matches fixed strings but can get search strings from a file • egrep - extended grep, uses a more powerful set of regular expressions but does not support backreferencing, generally the fastest member of the grep family • agrep – approximate grep; not standard
  • 24. Syntax • Regular expression concepts we have seen so far are common to grep and egrep. • grep and egrep have slightly different syntax – grep: BREs – egrep: EREs (enhanced features we will discuss) • Major syntax differences: – grep: ( and ), { and } – egrep: ( and ), { and }
  • 25. Protecting Regex Metacharacters • Since many of the special characters used in regexs also have special meaning to the shell, it’s a good idea to get in the habit of single quoting your regexs – This will protect any special characters from being operated on by the shell – If you habitually do it, you won’t have to worry about when it is necessary
  • 26. Escaping Special Characters • Even though we are single quoting our regexs so the shell won’t interpret the special characters, some characters are special to grep (eg * and .) • To get literal characters, we escape the character with a (backslash) • Suppose we want to search for the character sequence a*b* – Unless we do something special, this will match zero or more ‘a’s followed by zero or more ‘b’s, not what we want – a*b* will fix this - now the asterisks are treated as regular characters
  • 27. Egrep: Alternation • Regex also provides an alternation character | for matching one or another subexpression – (T|Fl)an will match ‘Tan’ or ‘Flan’ – ^(From|Subject): will match the From and Subject lines of a typical email message • It matches a beginning of line followed by either the characters ‘From’ or ‘Subject’ followed by a ‘:’ • Subexpressions are used to limit the scope of the alternation – At(ten|nine)tion then matches “Attention” or “Atninetion”, not “Atten” or “ninetion” as would happen without the parenthesis - Atten|ninetion
  • 28. Egrep: Repetition Shorthands • The * (star) has already been seen to specify zero or more occurrences of the immediately preceding character • + (plus) means “one or more”  abc+d will match ‘abcd’, ‘abccd’, or ‘abccccccd’ but will not match ‘abd’  Equivalent to {1,}
  • 29. Egrep: Repetition Shorthands cont • The ‘?’ (question mark) specifies an optional character, the single character that immediately precedes it  July? will match ‘Jul’ or ‘July’  Equivalent to {0,1}  Also equivalent to (Jul|July) • The *, ?, and + are known as quantifiers because they specify the quantity of a match • Quantifiers can also be used with subexpressions – (a*c)+ will match ‘c’, ‘ac’, ‘aac’ or ‘aacaacac’ but will not match ‘a’ or a blank line
  • 30. Grep: Backreferences • Sometimes it is handy to be able to refer to a match that was made earlier in a regex • This is done using backreferences – n is the backreference specifier, where n is a number • Looks for nth subexpression • For example, to find if the first word of a line is the same as the last: – ^([[:alpha:]]{1,}) .* 1$ – The ([[:alpha:]]{1,}) matches 1 or more letters
  • 31. Practical Regex Examples • Variable names in C – [a-zA-Z_][a-zA-Z_0-9]* • Dollar amount with optional cents – $[0-9]+(.[0-9][0-9])? • Time of day – (1[012]|[1-9]):[0-5][0-9] (am|pm) • HTML headers <h1> <H1> <h2> … – <[hH][1-4]>
  • 32. grep Family • Syntax grep [-hilnv] [-e expression] [filename] egrep [-hilnv] [-e expression] [-f filename] [expression] [filename] fgrep [-hilnxv] [-e string] [-f filename] [string] [filename] – -h Do not display filenames – -i Ignore case – -l List only filenames containing matching lines – -n Precede each matching line with its line number – -v Negate matches – -x Match whole line only (fgrep only) – -e expression Specify expression as option – -f filename Take the regular expression (egrep) or a list of strings (fgrep) from filename
  • 33. grep Examples • grep 'men' GrepMe • grep 'fo*' GrepMe • egrep 'fo+' GrepMe • egrep -n '[Tt]he' GrepMe • fgrep 'The' GrepMe • egrep 'NC+[0-9]*A?' GrepMe • fgrep -f expfile GrepMe • Find all lines with signed numbers $ egrep ’[-+][0-9]+.?[0-9]*’ *.c bsearch. c: return -1; compile. c: strchr("+1-2*3", t-> op)[1] - ’0’, dst, convert. c: Print integers in a given base 2-16 (default 10) convert. c: sscanf( argv[ i+1], "% d", &base); strcmp. c: return -1; strcmp. c: return +1; • egrep has its limits: For example, it cannot match all lines that contain a number divisible by 7.
  • 34. Fun with the Dictionary • /usr/dict/words contains about 25,000 words – egrep hh /usr/dict/words • beachhead • highhanded • withheld • withhold • egrep as a simple spelling checker: Specify plausible alternatives you know egrep "n(ie|ei)ther" /usr/dict/words neither • How many words have 3 a’s one letter apart? – egrep a.a.a /usr/dict/words | wc –l • 54 – egrep u.u.u /usr/dict/words • cumulus
  • 35. Other Notes • Use /dev/null as an extra file name – Will print the name of the file that matched • grep test bigfile – This is a test. • grep test /dev/null bigfile – bigfile:This is a test. • Return code of grep is useful – grep fred filename > /dev/null && rm filename
  • 36. This is one line of text input line o.*o regular expression x Ordinary characters match themselves xyz (NEWLINES and metacharacters excluded) Ordinary strings match themselves fgrep, grep, egrep m Matches literal character m ^ Start of line $ End of line . Any single character [xy^$x] Any of x, y, ^, $, or z [^xy^$z] Any one character other than x, y, ^, $, or z grep, egrep [a-z] Any single character in given range r* zero or more occurrences of regex r r1r2 Matches r1 followed by r2 (r) Tagged regular expression, matches r n Set to what matched the nth tagged expression (n = 1-9) grep {n,m} Repetition r+ One or more occurrences of r r? Zero or one occurrences of r r1|r2 Either r1 or r2 (r1|r2)r3 (r1|r2)* Either r1r3 or r2r3 Zero or more occurrences of r1|r2, e.g., r1, r1r1, egrep Quick Reference r2r1, r1r1r2r1,…) {n,m} Repetition