Regular Expressions 101

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  • Unit Tests (1)

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An explanation of your regex will be automatically generated as you type.
Detailed match information will be displayed here automatically.
  • All Tokens
  • Common Tokens
  • General Tokens
  • Anchors
  • Meta Sequences
  • Quantifiers
  • Group Constructs
  • Character Classes
  • Flags/Modifiers
  • Substitution
  • A single character of: a, b or c
    [abc]
  • A character except: a, b or c
    [^abc]
  • A character in the range: a-z
    [a-z]
  • A character not in the range: a-z
    [^a-z]
  • A character in the range: a-z or A-Z
    [a-zA-Z]
  • Any single character
    .
  • Alternate - match either a or b
    a|b
  • Any whitespace character
    \s
  • Any non-whitespace character
    \S
  • Any digit
    \d
  • Any non-digit
    \D
  • Any word character
    \w
  • Any non-word character
    \W
  • Non-capturing group
    (?:...)
  • Capturing group
    (...)
  • Zero or one of a
    a?
  • Zero or more of a
    a*
  • One or more of a
    a+
  • Exactly 3 of a
    a{3}
  • 3 or more of a
    a{3,}
  • Between 3 and 6 of a
    a{3,6}
  • Start of string
    ^
  • End of string
    $
  • A word boundary
    \b
  • Non-word boundary
    \B

Regular Expression
No Match

/
/
gmi

Test String

Code Generator

Language

Generated Code

import Foundation let pattern = #"(?P<senhaCampo>`?senha`?(\ *|\s\s*)=(\ *|\s\s*))(?P<aspas>('|\"))(?P<senhaValue>((?!"\ (AND|OR|IN)).)+)("|')"# let regex = try! NSRegularExpression(pattern: pattern, options: [.anchorsMatchLines, .caseInsensitive]) let testString = ##""" andre \ SELECT usr_id, emp_id, plano_id, origem_id, login, senha, status, statusemp, origem, nome, data_nasc, email, sexo, estadocivil, data_entrada WHEREFROM conline.usr WHERE login = \"kennya.miiyamura@cacaushow.com.br\" AND senha = " koko ro10 \" '''asdasd''\"\"5" OR organizacao_id = \"1\" SELECT usr_id, emp_id, plano_id, origem_id, login, senha, status, statusemp, origem, nome, data_nasc, email, sexo, estadocivil, data_entrada WHEREFROM conline.usr WHERE login = \"kennya.miiyamura@cacaushow.com.br\" AND (senha = "kokoro10@\"5""" """""'" OR organizacao_id = \"1\") SELECT usr_id, emp_id, plano_id, origem_id, login, senha, status, statusemp, origem, nome, data_nasc, email, sexo, estadocivil, data_entrada WHEREFROM conline.usr WHERE login = \"kennya.miiyamura@cacaushow.com.br\" AND (senha = "kokoro10@\"5""" """""'" AND organizacao_id = \"1\") SELECT usr_id, emp_id, plano_id, origem_id, login, senha, status, statusemp, origem, nome, data_nasc, email, sexo, estadocivil, data_entrada WHEREFROM conline.usr WHERE login = \"kennya.miiyamura@cacaushow.com.br\" AND senha = "kokoro10@\"5""" """""'" IN organizacao_id = \"1\" SELECT usr_id, emp_id, plano_id, origem_id, login, senha, status, statusemp, origem, nome, data_nasc, email, sexo, estadocivil, data_entrada WHEREFROM conline.usr WHERE login = \"kennya.miiyamura@cacaushow.com.br\" AND senha = "kokoro10@\"5"" """"""'" SELECT usr_id, emp_id, plano_id, origem_id, login, senha, status, statusemp, origem, nome, data_nasc, email, sexo, estadocivil, data_entrada WHEREFROM conline.usr WHERE login = \"kennya.miiyamura@cacaushow.com.br\" AND senha = "kokor o10@\"5'"; SELECT usr_id, emp_id, plano_id, origem_id, login, senha, status, statusemp, origem, nome, data_nasc, email, sexo, estadocivil, data_entrada WHEREFROM conline.usr WHERE login = \"kennya.miiyamura@cacaushow.com.br\" AND senha = 'kokor o10@"5\'' SELECT usr_id, emp_id, plano_id, origem_id, login, senha, status, statusemp, origem, nome, data_nasc, email, sexo, estadocivil, data_entrada WHEREFROM conline.usr WHERE login = \"kennya.miiyamura@cacaushow.com.br\" AND senha = "$%\"''asdas!@#$%*()_)(*&$#@!" SELECT usr_id, emp_id, plano_id, origem_id, login, senha, status, statusemp, origem, nome, data_nasc, email, sexo, estadocivil, data_entrada WHEREFROM conline.usr WHERE login = \"kennya.miiyamura@cacaushow.com.br\" AND senha = "$%\"''asda s!@#$%*()_)(*&$#@!" SELECT usr_id, emp_id, plano_id, origem_id, login, senha, status, statusemp, origem, nome, data_nasc, email, sexo, estadocivil, data_entrada, empregado, data_saida, data_deslig, data_susp \n\t\t\tFROM conline.usr \n\t\t\tWHERE login = "laisajesusgonzaga.z72015@gmail.com" AND senha = "0633263850\'8\'\'" AND organizacao_id = "2" SELECT usr_id, emp_id, plano_id, origem_id, login, senha, status, statusemp, origem, nome, data_nasc, email, sexo, estadocivil, data_entrada WHEREFROM conline.usr WHERE login = \"kennya.miiyamura@cacaushow.com.br\" AND senha = "kokoro10\'5" AND organizacao_id = \"1\" SELECT usr_id, emp_id, plano_id, origem_id, login, senha, status, statusemp, origem, nome, data_nasc, email, sexo, estadocivil, data_entrada WHEREFROM conline.usr WHERE login = \"kennya.miiyamura@cacaushow.com.br\" AND senha = "kokoro10'5" AND organizacao_id = \"1\" SELECT usr_id, emp_id, plano_id, origem_id, login, senha, status, statusemp, origem, nome, data_nasc, email, sexo, estadocivil, data_entrada WHEREFROM conline.usr WHERE login = \"kennya.miiyamura@cacaushow.com.br\" AND senha = "kokoro10"5'''" AND organizacao_id = \"1\" """## let stringRange = NSRange(location: 0, length: testString.utf16.count) let matches = regex.matches(in: testString, range: stringRange) var result: [[String]] = [] for match in matches { var groups: [String] = [] for rangeIndex in 1 ..< match.numberOfRanges { let nsRange = match.range(at: rangeIndex) guard !NSEqualRanges(nsRange, NSMakeRange(NSNotFound, 0)) else { continue } let string = (testString as NSString).substring(with: nsRange) groups.append(string) } if !groups.isEmpty { result.append(groups) } } print(result)

Please keep in mind that these code samples are automatically generated and are not guaranteed to work. If you find any syntax errors, feel free to submit a bug report. For a full regex reference for Swift 5.2, please visit: https://developer.apple.com/documentation/foundation/nsregularexpression