Open main menu

CDOT Wiki β

Tutorial9: Regular Expressions

Revision as of 08:06, 13 March 2021 by Msaul (talk | contribs) (→‎Complex / Extended Regular Expressions)

USING REGULAR EXPRESSIONS


Main Objectives of this Practice Tutorial

  • Define the term Regular Expressions
  • Explain the difference between Regular Expressions and Filename Expansion
  • Explain the purpose of Literal (Simple) Regular Expressions
  • Understand and use common symbols for Complex Regular Expressions and their purpose
  • Understand and use command symbols for Extended Regular Expressions and their purpose
  • List several Linux commands that can use regular expressions


Tutorial Reference Material

Course Notes
 Linux Command/Shortcut Reference
 YouTube Videos
Course Notes:


Regular Expressions


Linux Commands Brauer Instructional Videos:

KEY CONCEPTS

Regular Expressions

A regular expression is a combination of two types of characters: literals and special characters.
In combination, these characters define a logical pattern. Strings of text can be compared to this pattern
to see if they fit the pattern defined by the expression.

Reference: https://www.whoishostingthis.com/resources/regex/

This usually refers to text that is contained inside a file or text as a result
of issuing Linux commands using a Linux pipeline command.

Literal (Simple) Regular Expressions

 
The simplest regular expression is a series of letters and numbers, possibly including white space (tabs or space characters).

The simplest regular expression is a series of letters and numbers, (tabs or spaces). A simple (literal) regular expression consists of normal characters, which used to match patterns.

Although there are many Linux commands that use regular expressions, the grep command is a useful command to learn how to display matches of patterns of strings within text files.

For example: grep Linux document.txt


Complex / Extended Regular Expressions

The problem with using literals or simple regular expressions is that only simple or general patterns are matched.

Complex Regular Expressions use symbols to help match text for more precise (complex) patterns.
The most common complex regular expression symbols are displayed below:

Anchors: ^ , $
Match lines the begin (^) or end ($) with a pattern.
Single Character:   .
Represents a single character that can be any type of character.

Character Class: [ ] , [^ ]
Represents a single character but with restrictions.

Zero or More Occurrence: *
Zero or more occurrences of previous character.

Examples of how to use these complex regular expressions with the grep command are displayed below:

 
Example of using anchors.
 
Example of matching by character(s).
 
Example of using character class.
 
Example of matching zero or more occurrence of preceding character.












Extended Regular Expressions consist of additional special characters
to “extend” the capability of regular expressions. You must use the egrep or grep -E commands
in order to properly use extended regular expressions with the grep command.


  • Repetition: {min,max}
    Allows for more precise repetitions. Using braces, you can specify
    the minimum and/or maximum number of repetitions.
  • Grouping: ( )
    Perhaps you want to search for repetition for a group of characters, a word, or a phase.
    You can enclose them within brackets ( ) to specify a group.
  • or Condition: |
    Can be used with grouping to match a variety of character(s), words or phases.
    The | symbol is used to separate the variety of character(s) within a group.

Examples of how to use these complex regular expressions with the egrep command are displayed below:

 
Example of using repetition.
 
Example of using grouping.
 
Example of using or condition with grouping.





















INVESTIGATION 1: SIMPLE & COMPLEX REGULAR EXPRESSIONS


In this investigation, you will learn how to use the grep command with simple and complex regular expressions
to help search for patterns contained in text files.


Perform the Following Steps:

  1. Login to your matrix account.

  2. Issue a Linux command to confirm you are located in your home directory.

    The wget command is used to download files from the Internet to your shell.
    This will be useful to download text files and data files that we will be using for this tutorial.

  3. Issue the following linux Linux command to download a text file to your home directory:
    wget https://ict.senecacollege.ca/~murray.saul/uli101/textfile1.txt

  4. Issue the ls Linux command to confirm that the text file was downloaded.

  5. View the contents of the textfile1.txt file using the more command and quickly view the contents of this file.

    Although there are several Linux commands that use regular expressions,
    we will be using the grep command for this investigation.

     
    Output of grep command matching simple regular expression "the" (only lowercase). Notice the pattern matches larger words like "their" or "them".
  6. Issue the following Linux command to match the pattern "the" within textfile1.txt:
    grep "the" textfile1.txt

    Take a few moments to view the output and observe the matched pattern.

  7. Now, issue the grep Linux command with the -i option to ignore case sensitively:
    grep -i "the" textfile1.txt

    What do you notice is different when issuing this command?

    You will notice that the pattern "the" is matched including larger words like "them" and "their".
    You can issue the grep command with the -w option to only match the pattern as a word.

  8. Issue the following Linux command:
    grep -w -i "the" textfile1.txt

    You should now see only strings of text that match the word "the" (upper or lower case).

    Matching literal or simple regular expressions can be useful, but are limited
    in what pattens they can match. For example, you may want to
    search for a pattern located at the beginning or end of the string.

    There are other regular expression symbols that provide more precise search pattern matching.
    These special characters are known as complex and extended regular expressions symbols.
    In this investigation, we will focus on complex regular expressions and then discuss
    extended regular expressions in INVESTIGATION 2.

     
    Anchoring regular expressions at the beginning of text.
     
    Anchoring regular expressions at the ending of text.
  9. Issue the following Linux command:
    grep -w -i "^the" textfile1.txt

    The ^ symbol is referred to as an anchor.
    In this case, it only matches
    the word "the" (both upper or lowercase) at the beginning of the string.

  10. Issue the following Linux command:
    grep -w -i "the$" textfile1.txt

    The $ symbol is used to anchor patterns at the end of the string.

  11. Issue the following Linux command to anchor the word "the"
    simultaneously at the beginning and end of the string:
    grep -w -i "^the$" textfile1.txt

    What do you notice?

    Anchoring patterns at both the beginning and ending of strings can greatly assist
    for more precise search pattern matching.

    We will now be demonstrate the power of anchoring
    combined with other complex regular expressions symbols.

     
    Anchoring regular expressions using period symbols at the beginning of text.
     
    Anchoring regular expressions using period symbols simultaneously at the beginning and ending of text.
  12. Issue the following Linux command to match strings that begin with 3 characters:
    grep "^..." textfile1.txt

    What do you notice? Can lines that contain less than 3 characters be displayed?

  13. Issue the following Linux command to match strings that begin and end with 3 characters:
    grep "^...$" textfile1.txt

    What do you notice compared to the previous command?

  14. Issue the following Linux command to match strings that begin with 3 digits:
    grep "^[0-9][0-9][0-9]" textfile1.txt

    What did you notice?

  15. Issue the following Linux command to match strings that end with 3 uppercase letters:
    grep "[A-Z][A-Z][A-Z]$" textfile1.txt

     
    Anchoring 3 digits at the beginning and ending of text.
     
    Anchoring 3 alpha-numeric characters at the beginning and ending of text.
    Did any lines match this pattern?

  16. Issue the following Linux command to match strings that consist of only 3 digits:
    grep "^[0-9][0-9][0-9]$" textfile1.txt

    What did you notice?

  17. Issue the following Linux command to match strings that consist of only 3 alphanumeric digits:
    grep "^[a-zA-Z0-9][a-zA-Z0-9][a-zA-Z0-9]$" textfile1.txt

    What did you notice?

    The "*" complex regular expression symbol is often confused with the "*" filename expansion symbol.
    In other words, it does NOT represent zero or more of any character, but zero or more occurrences
    of the character that comes before the "*" symbol.

  18. To demonstrate, issue the following Linux command to display zero or more occurrences of the letter "x":
    grep "x*" textfile1.txt

    You will most likely notice most lines of the file is displayed.

  19. Let's issue a Linux command to display strings that contain more than one occurrence of the letter "x":
    grep "xx*" textfile1.txt

    Why did this work? because the pattern indicates one occurrence of the letter "x",
    followed by zero or MORE occurrences of the next letter "x".

    If you combine the complex regular expression symbols ".*" it will act like
    zero or more occurrences of any character (i.e. like "*" did in filename expansion).

  20. Issue the following Linux command to match strings begin and end with a number with nothing or anything inbetween:
    grep "^[0-9].*[0-9]$" textfile1.txt

    Using simultaneous anchors combined with the ".*" symbol(s) can help you to refine your search patterns of strings.

  21. Issue the following Linux command to display strings that begin with a capital letter,
    end with a number, and contains a capital X somewhere inbetween:
    grep "^[A-Z].*X.*[0-9]$" textfile1.txt

    Let's look at another series of examples involving searching for strings that only contain valid numbers.
    We will use pipeline commands to both display stdout to the screen and save to files
    for confirmation of running these pipeline commands when run a checking-script later in this investigation.

  22. Issue the following Linux command to create the regexps directory: mkdir ~/regexps

  23. Change to the regexps directory and confirm that you have moved to this directory.

  24. First, issue the following Linux command to download another data file called numbers1.dat:
    wget https://ict.senecacollege.ca/~murray.saul/uli101/numbers1.dat

  25. View the contents of the numbers.dat file using the more command and quickly view the contents of this file.
    You should notice valid and invalid numbers contained in this file. When finished, exit the more command.

  26. Issue the following linux pipeline command to display only whole numbers (i.e. no + or - sign):
    grep "^[0-9]*$" numbers1.dat | tee faulty.txt

    You may have noticed that the command does not entirely work. You may notice an empty line
    (which is NOT a whole number). This occurs since the * regular expression symbol represents
    ZERO or MORE occurrences of a number. You can use an additional numeric character class
    with the * regular expression symbol to search for one or more occurrences of a number.

  27. Issue the following Linux pipeline command to display only whole numbers:
    grep "^[0-9][0-9]*$" numbers1.dat | tee whole.txt

    You should see that this now works.

  28. Issue the following Linux pipeline command to display only signed integers:
    grep "^[+-][0-9][0-9]*$" numbers1.dat | tee signed.txt

    What did you notice? Positive and negative numbers display, not unsigned numbers.

     
    Simultaneous anchoring of regular expressions using character class and zero or more occurrences to display signed and unsigned integers.
  29. Issue the following Linux pipeline command to display signed or unsigned integers:
    grep "^[+-]*[0-9][0-9]*$" numbers1.dat | tee all.txt

    Did this command work?

  30. Issue the following command to check that you created those hard links:
    bash /home/murray.saul/myscripts/week9-check-1

    If you encounter errors, then view the feedback to make corrections, and then re-run the checking script. If you receive a congratulation message that there are no errors, then proceed with this tutorial.

    You can also use the grep command using regular expression as a filter in pipeline commands.

  31. Issue the following Linux pipeline command:
    ls | grep "[0-9].*dat$"

    What did this pipeline display?

Although very useful, complex regular expressions do NOT entirely solve our problem of displaying only valid unsigned and signed numbers.
In the next investigation, you will learn how to use extended regular expressions that will completely solve this issue.
You can proceed to INVESTIGATION 2.


INVESTIGATION 2: EXTENDED REGULAR EXPRESSIONS


In this section, you will learn how to use extended regular expressions to help further refine
your search patterns when using regular expressions.


Perform the Following Steps:

  1. Make certain that you are located in your ~/regexps directory on your Matrix account.

  2. Issue the following Linux command to download another data file called numbers2.dat:
    wget https://ict.senecacollege.ca/~murray.saul/uli101/numbers2.dat

  3. View the contents of the numbers2.dat file using the more command and quickly view the contents of this file.
    You should notice valid and invalid numbers contained in this file. When finished, exit the more command.

     
    Weakness of complex regular expressions that do not limit the number of positive or negative signs.
  4. Issue the following Linux command to display signed or unsigned integers:
    grep "^[+-]*[0-9][0-9]*$" numbers2.dat

    You should notice multiple + or - signs appear prior to some numbers.
    This occurs since you are searching or one or MORE occurrences of a + or - sign.

    Using extended regular expression symbols to specify minimum and maximum repetitions: {min,max} can solve that problem.

  5. Issue the following Linux command (using extended regular expression symbols)
    to display signed or unsigned integers:
    grep "^[+-]{0.1}[0-9]{1,}$" numbers2.dat

    NOTE: No output will be displayed! Why?

    This is due to the fact that the grep command was NOT issued correctly to use extended regular expression symbols.
    You would need to issue either grep -E (or more simply) issue the egrep command. The egrep command works with
    all regular expression symbols, and should be used in the future instead of the older grep command.

    We will use pipeline commands to both display stdout to the screen and save to files
    for confirmation of running these pipeline commands when run a checking-script later in this investigation.

  6. Issue the following Linux pipeline command using egrep instead of grep:
    egrep "^[+-]{0,1}[0-9]{1,}$" numbers2.dat | tee better-number1.txt

     
    Using extended regular expression symbols (such as repetition) to refine matches of signed and unsigned integers.
    You should have noticed that the command worked correctly this time because you used the egrep command.

    NOTE: With extended regular expressions, the ? symbol can be used to represent the {0,1} repetition symbols and the + symbol can be used to represent the {1,} repetition symbols

  7. Issue the following Linux pipeline command using the repetition shortcuts "+" and "?":
    egrep "^[+-]?[0-9]+$" numbers2.dat | tee better-number2.txt

    You should have seen the same results, but the extended regular expression required less typing.

  8. Issue the following Linux pipeline command to display signed, unsigned, whole, and decimal numbers:
    egrep "^[+-]{0,1}[0-9]{1,}[.]{0,1}[0-9]*$" numbers2.dat | tee better-number3.txt

    Were all signed and unsigned intergers and decimal numbers displayed?

  9. Issue the follwoing command to check that you correctly issued
    those Linux pipeline commands:
    bash /home/murray.saul/myscripts/week9-check-2

    If you encounter errors, then view the feedback to make corrections, and then re-run the checking script.
    If you receive a congratulation message that there are no errors, then proceed with this tutorial.

    You can also use extended regular expression symbols for grouping.
    For example, you can search for repetitions of GROUPS of characters (like a word)
    as opposed to just a single character or a GROUP of numbers as opposed to a single digit.

  10. Issue the following linux pipeline command to download another data file called words.dat:
    wget https://ict.senecacollege.ca/~murray.saul/uli101/words.dat

  11. View the contents of the words.dat file using the more command and quickly view the contents of this file.
    You should notice valid and more invalid numbers contained in this file. When finished, exit the more command.

  12. Issue the following linux pipeline command to display two or more occurrences of the word "the":
    egrep -i "(the){2,}" words.dat | tee word-search1.txt more

    NOTE: No output is displayed! Why?

    This is due to the fact that a space should be included at the end of the word "the".
    Usually words are separated by spaces; therefore, there were no matches since there were not occurrences
    of "thethe" as opposed to "the the" (i.e. no space after repetition of the pattern).

  13. Reissue the previous pipeline command including a space in brackets:
    egrep -i "(the ){2,}" words.dat | tee word-search2.txt

     
    Using extended regular expression symbols (such as grouping) to refine matches of repetition of words (as opposed to characters).
    The "|" (or) symbol (same symbol as "pipe") can be used within the grouping symbols to allow matching of additional groups of characters.
    Again, it is important to follow the character groupings with the space character

  14. Issue the following linux pipeline command to search for 2 or more occurrences of the word "the " or the word "and ":
    egrep -i "(the |and ){2,}" words.dat | tee word-search3.txt

  15. Issue the following Linux command to check that you correctly issued
    those Linux pipeline commands using the tee command to create those text files:
    bash /home/murray.saul/myscripts/week9-check-3

    If you encounter errors, then view the feedback to make corrections, and then re-run the checking script.
    If you receive a congratulation message that there are no errors, then proceed with this tutorial.

    Let's issue a Linux pipeline command using a combination of complex and extended regular expressions.

  16. Issue the following Linux pipeline command:
    ls | egrep "[a-z]{1,}.*[0-9]"

    What did this Linux pipeline command display?

The grep and egrep Linux commands are NOT the only Linux commands that use regular expressions.
In the next investigation, you will apply regular expressions to a number of Linux commands
that you already learned in this course.
You can proceed to INVESTIGATION 3


INVESTIGATION 3: OTHER COMMANDS USING REGULAR EXPRESSIONS


In this section, you will see commands other than grep or egrep that use regular expressions.


Perform the Following Steps:

  1. Make certain that you are located in your ~/regexps directory on your Matrix account.

  2. Let's look at using regular expressions with the man command.
    Issue the following linux command :
    man ls

     
    Entering /sort in the man command can search for the string "sort".
  3. We want to search for an option that can sort the file listing.
    Type the following regular expression below and press ENTER:
    /sort

    FYI: The grep and egrep Linux commands contain the regular expressions within quotes, but most other Linux commands specify regular expressions using forward slashes (e.g. /regular expression   or   /regular expression).

  4. Scroll throughout the man pages for the ls command to view matches for the pattern "sort"
    (You can press SPACE or key combination alt-b to move forward and backwards one screen respectively).

  5. Press the letter q to exit the man pages for ls.

    Let's use regular expressions with the more command.

  6. Issue the following Linux command to download another data file called large-file.txt:
    wget https://ict.senecacollege.ca/~murray.saul/uli101/large-file.txt

  7. View the contents of the large-file.txt file using the more command and quickly view the contents of this file.

     
    Entering /uli101 in the less command can display all matches of "uli101" throughout the text file.
  8. Issue the following Linux command to view the contents of the large-file.txt:
    less large-file.txt

  9. We want to search for a pattern uli101 within this text file.
    Type the following regular expression and press ENTER:
    /uli101

    You should see the pattern "uli101" throughout the text file.

  10. Press the letter q to exit the more command.

  11. Try the same search techniques with the more command.

    Does it work the same for the less command?

     
    Entering /uli101 in the vi command can search for the string "uli101".
    Let's learn how to perform a simple search and replace within the vi utility
    by using regular expressions.

  12. Issue the following Linux command to edit the large-file.txt file:
    vi large-file.txt

    Let's first perform a simple search within this text file.

  13. Press the ESC key to make certain you are in COMMAND mode.

  14. Type the following and press ENTER:
    /uli101

    You should notice the pattern "uli101" highlighted for ALL occurrences in this text file.

    Let's search for the uli101 pattern, and replace it in capitals (i.e ULI101).

    In vi, to issue a command, you need to enter LAST LINE MODE then issue a command.
    Let's issue a command from LAST LINE MODE to search and replace uli101 to ULI101.

     
    In last line MODE in the vi text editor, issuing a command using regular expressions to convert uli101 to ULI101.
  15. Making certain that you are COMMAND MODE in vi,
    type the following and press ENTER:
    :%s/uli101/ULI101/g

  16. Navigate throughout the text file to confirm that ALL occurrences of uli101 have been replaced with ULI101.

  17. Save changes to your vi editing session and exit by typing the following and pressing ENTER:
    :x

After you complete the Review Questions section to get additional practice, then work on your
online assignment 3.



LINUX PRACTICE QUESTIONS

The purpose of this section is to obtain extra practice to help with quizzes, your midterm, and your final exam.

REVIEW QUESTIONS: SIMPLE & COMPLEX REGULAR EXPRESSIONS

Here is a link to the MS Word Document of ALL of the questions displayed below but with extra room to answer on the document to simulate a quiz:

https://ict.senecacollege.ca/~murray.saul/uli101/uli101_command_practice_9a.docx

Your instructor may take-up these questions during class. It is up to the student to attend classes in order to obtain the answers to the following questions. Your instructor will NOT provide these answers in any other form (eg. e-mail, etc).


Part A: Display Results from Linux Commands using Simple & Complex Regular Expressions

Note the contents from the following tab-delimited file called ~murray.saul/uli101/cars: 

Plym    fury    77      73      2500
chevy   nova    79      60      3000    
ford    mustang 65      45      10003
volvo   gl      78      102     9850    
ford    ltd     83      15      10507   
chevy   nova    80      50      3503    
fiat    600     65      115     450     
honda   accord  81      30      6000
ford    thundbd 84      10      17000
toyota  tercel  82      180     755
chevy   impala  65      85      1553
ford    bronco  83      25      9505

Write the results of each of the following Linux commands using regular expressions for the above-mentioned file.

1. grep plym ~murray.saul/uli101/cars
2. grep -i fury ~murray.saul/uli101/cars
3. grep “^[m-z]” ~murray.saul/uli101/cars
4. grep -i “^[m-z]” ~murray.saul/uli101/cars 5. grep “3$” ~murray.saul/uli101/cars
6. grep -i “c.*5$” ~murray.saul/uli101/cars


Part B: Writing Linux Commands Using Regular Expressions

Write a single Linux command to perform the specified tasks for each of the following questions.

7. Write a Linux command to display all lines in the file called ~/text.txt that contains the pattern: the
8. Write a Linux command to display all lines in the file called ~/text.txt that contains the word: the
9. Write a Linux command to display all lines in the file called ~/text.txt that begin with a number.
10. Write a Linux command to display all lines in the file called ~/text.txt that end with a letter (either upper or lowercase).
11. Write a Linux command to display all lines in the file called ~/text.txt that begin and end with a number.
12. Write a Linux command to display all lines in the file called ~/text.txt that contains exactly 3 characters that can be anything.
13. Write a Linux command to display all lines in the file called ~/text.txt that contains exactly 3 numbers.
14. Write a Linux command to display all lines in the file called ~/text.txt that contains 1 or more “C” characters.



REVIEW QUESTIONS: REGULAR EXPRESSIONS (INCLUDING EXTENDED REGULAR EXPRESSIONS)

Here is a link to the MS Word Document of ALL of the questions displayed below but with extra room to answer on the document to simulate a quiz:

https://ict.senecacollege.ca/~murray.saul/uli101/uli101_command_practice_9b.docx

Your instructor may take-up these questions during class. It is up to the student to attend classes in order to obtain the answers to the following questions. Your instructor will NOT provide these answers in any other form (eg. e-mail, etc).

Part A: Display Results from Linux Commands using Regular Expressions

Note the contents from the following tab-delimited file called ~murray.saul/uli101/numbers.txt: 

+123
---34
+++++++++++17
-45
45p8
25.6
11

Write the results of each of the following Linux commands using regular expressions for the above-mentioned file.

1. grep "^[-+]" ~murray.saul/uli101/numbers.txt
2. grep "^[-+]*.[0-9]" ~murray.saul/uli101/numbers.txt
3. grep "^[+-]?[0-9]" ~murray.saul/uli101/numbers.txt
   (Why?)
4. egrep "^[+-]?[0-9]" ~murray.saul/uli101/numbers.txt
5. egrep "^[+-]?[0-9]+$" ~murray.saul/uli101/numbers.txt
6. egrep "^[+-]?[0-9]+[.]?[0-9]+$" ~murray.saul/uli101/numbers.txt


Part B: Writing Linux Commands Using Regular Expressions

Write a single Linux command to perform the specified tasks for each of the following questions.


7. Write a Linux command to display all lines in the file called ~/data.txt that begins with 1 or more occurrences of an UPPERCASE letter.

8. Write a Linux command to display all lines in the file called ~/data.txt that ends with 3 or more occurrences of the number 6

9. Write a Linux command to display all lines in the file called ~/data.txt that begins with 2 or more occurrences of the word “the” (upper or lower case).

10. Write a Linux command to display all lines in the file called ~/data.txt that begins with 2 or more occurrences
      of the word “the” or the word “but” (upper or lower case).

11. Write a Linux command to display all lines in the file called ~/data.txt that begins with a minimum of 2 occurrences
      and a maximum of 4 occurrences of the word “the” or the word “but” (upper or lower case).

Retrieved from "https://wiki.cdot.senecapolytechnic.ca/w/index.php?title=Tutorial9:_Regular_Expressions&oldid=153962"