Introduction and application of regular expressions in Go language

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Release: 2023-06-03 09:01:50
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In the Go language, regular expressions are a powerful tool that can help us process strings, match text, search for specified characters, etc. This article will introduce the basic syntax of regular expressions in Go language and how to use them in practical applications.

1. Introduction to regular expressions

Regular expression is a language specially used to describe string patterns. It defines certain regular strings through the combination of specific symbols and characters. model. In Go language, we can use regular expressions to quickly match or find strings that match a certain pattern. The implementation of regular expressions in the Go language mainly relies on the regular expression library regexp package. When using it, we need to import the regexp package, and then write and execute regular expressions through related functions.

2. Basic syntax of regular expressions

  1. String matching

In Go language, when using regular expressions for string matching, The following symbols are mainly used:

Symbol meaning
. Matches any character except newline characters
[] Matches any character within square brackets
| Matches any character on both sides of the left and right horizontal lines String
^ Matches a string that starts with a certain string
$ Matches a string that ends with a certain string

  • Matches the previous expression 0 or more times
  • Match the previous expression 1 or more times
    ? Match the previous expression 0 or 1 times

Example:

regexp.MustCompile( ab*e) // Match "a", "ab", "abb", "abbb", etc.
regexp.MustCompile(ab e) // Match "abe", "abbbe", "abbbbe", etc., but not matching "ae", "abe", etc.
regexp.MustCompile(ab?e) // Matches "ae", "abe", etc., but not Match "abbe", "abbbbe", etc.

  1. String replacement

In addition to string matching, regular expressions can also be used for string replacement. In the Go language, we can use the ReplaceAllString function to perform replacement operations. Its function prototype is:

func ReplaceAllString(src string, pattern string, repl string) string

where src represents the source String, pattern represents the regular expression to be replaced, and repl represents the replaced string. Examples are as follows:

str := "abcde1234"
pattern := [0-9]
repl := "x"

r, _ := regexp.Compile(pattern)
result := r.ReplaceAllString(str, repl) //The replacement result is "abcde"

3. The actual use of regular expressions

In practical applications, regular expressions are usually used in the following scenarios:

  1. Verify user input

In user registration, login and other scenarios, in order to ensure For data validity and security, we usually need to verify user input. At this point, regular expressions can be used to verify the data entered by the user. For example, we can use regular expressions to verify whether the email format entered by the user is correct:

func IsEmail(email string) bool {

reg := `[a-zA-Z0-9_-]+@[a-zA-Z0-9_-]+(.[a-zA-Z0-9_-]+)+$`
r := regexp.MustCompile(reg)
return r.MatchString(email)
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}

  1. Extract Text information

In a large amount of text, we may need to extract certain specific information, such as URL links, mobile phone numbers, etc. At this point, regular expressions can be used to locate and extract this information. For example, we can use regular expressions to extract all URL links in a string:

func GetUrls(text string) []string {

reg := `https?://[^s]+`
r := regexp.MustCompile(reg)
return r.FindAllString(text, -1)
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}

  1. Filter sensitive information

In some application scenarios, we need to filter out some sensitive information, such as bank card numbers, passwords, etc. At this point, regular expressions can be used to filter out this sensitive information and process it. For example, we can use regular expressions to hide all mobile phone numbers in a string:

func HidePhone(text string) string {

reg := `1d{10}`
r := regexp.MustCompile(reg)
return r.ReplaceAllString(text, "****")
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}

4. Summary

Regular expression is a powerful tool that can help us process strings, match text, search for specified characters, etc. In the Go language, by using the regexp package, we can write and execute regular expressions more conveniently. In practical applications, regular expressions are widely used in user input, text extraction, information filtering and other scenarios, which can help us complete tasks more efficiently.

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