Regular Expressions 101

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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

/
/
gm

Test String

Code Generator

Language

Generated Code

import Foundation let pattern = #"^(.*)%%sql\s+-o\s+(\w+)\s+(\-([n|q|r])(\s+[a-z0-9]+)?)?\s?(\\n)?\s?select\s+(.+)\s+from([\w\s\.\-'\"=]+)(\\n)?(.*)$"# let regex = try! NSRegularExpression(pattern: pattern, options: .anchorsMatchLines) let testString = ##""" \n//something \nimport com.adobe.platform.dataset.DataSetOptions\n\nvar df1 = spark.read.format(\"com.adobe.platform.dataset\")\n .option(DataSetOptions.orgId, \"310C6D375BA5248F0A494212@AdobeOrg\")\n .option(DataSetOptions.batchId, \"dbe154d3-197a-4e6c-80f8-9b7025eea2b9\")\n .load(\"5e68141134492718af974844\")\n\ndf1.printSchema()\ndf1.show()\n// this should be changed\n%%sql -o df -n 30 \nselect * from sparkdf where sparkdf.x='something'\n// # and this line not\n \n\n//import com.adobe.platform.dataset.DataSetOptions\n\nvar userToken = spark.sparkContext.getConf.getOption(\"spark.yarn.appMasterEnv.USER_TOKEN\").get\nvar serviceToken = spark.sparkContext.getConf.getOption(\"spark.yarn.appMasterEnv.SERVICE_TOKEN\").get\nvar serviceApiKey = spark.sparkContext.getConf.getOption(\"spark.yarn.appMasterEnv.SERVICE_API_KEY\").get\n\ndf1.write.format(\"com.adobe.platform.dataset\")\n .option(DataSetOptions.orgId, \"310C6D375BA5248F0A494212@AdobeOrg\")\n .option(DataSetOptions.userToken, userToken)\n .option(DataSetOptions.serviceToken, serviceToken)\n .option(DataSetOptions.serviceApiKey, serviceApiKey)\n .save(\"5e68141134492718af974844\")\n// \n\n//end """## 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