Golang Regexp.FindSubmatch

last modified April 20, 2025

This tutorial explains how to use the Regexp.FindSubmatch method in Go. We’ll cover submatch extraction with practical examples.

A regular expression is a sequence of characters that defines a search pattern. It’s used for pattern matching within strings.

The Regexp.FindSubmatch method returns a slice of strings holding the text of the leftmost match and its submatches. Submatches are matches of parenthesized subexpressions.

Basic FindSubmatch Example

The simplest use of FindSubmatch extracts parts of a date string. Here we get year, month, and day components.

basic_submatch.go

package main

import ( “fmt” “regexp” )

func main() { re := regexp.MustCompile((\d{4})-(\d{2})-(\d{2})) date := “2025-04-20”

matches := re.FindSubmatch([]byte(date))
if matches != nil {
    fmt.Println("Full match:", string(matches[0]))
    fmt.Println("Year:", string(matches[1]))
    fmt.Println("Month:", string(matches[2]))
    fmt.Println("Day:", string(matches[3]))
}

}

We compile a pattern with three capture groups. FindSubmatch returns a slice where index 0 is the full match and subsequent indices are submatches.

Extracting Name Components

This example demonstrates extracting first and last names from a formatted string. The pattern captures two word groups.

name_components.go

package main

import ( “fmt” “regexp” )

func main() { re := regexp.MustCompile((\w+)\s+(\w+)) name := “John Doe”

matches := re.FindSubmatch([]byte(name))
if len(matches) >= 3 {
    fmt.Println("First name:", string(matches[1]))
    fmt.Println("Last name:", string(matches[2]))
}

}

The pattern (\w+)\s+(\w+) matches two word groups separated by whitespace. We access the submatches at indices 1 and 2.

Parsing URL Components

FindSubmatch can extract protocol, domain, and path from URLs. This example shows a simple URL parser.

url_parser.go

package main

import ( “fmt” “regexp” )

func main() { re := regexp.MustCompile((https?)://([^/]+)(/.*)?) url := “https://example.com/path/to/resource"

matches := re.FindSubmatch([]byte(url))
if matches != nil {
    fmt.Println("Protocol:", string(matches[1]))
    fmt.Println("Domain:", string(matches[2]))
    fmt.Println("Path:", string(matches[3]))
}

}

The pattern captures the protocol, domain, and optional path. The third group is optional, so it may be empty.

Extracting Multiple Email Addresses

This example finds all email addresses in a string and extracts their components. We use a loop with FindAllSubmatch.

multiple_emails.go

package main

import ( “fmt” “regexp” )

func main() { re := regexp.MustCompile(([a-zA-Z0-9._%+-]+)@([a-zA-Z0-9.-]+)\.([a-zA-Z]{2,})) text := “Contact us at info@example.com or support@company.co.uk”

allMatches := re.FindAllSubmatch([]byte(text), -1)
for _, match := range allMatches {
    fmt.Println("\nFull email:", string(match[0]))
    fmt.Println("Username:", string(match[1]))
    fmt.Println("Domain:", string(match[2]))
    fmt.Println("TLD:", string(match[3]))
}

}

The pattern captures username, domain, and TLD components. FindAllSubmatch returns all matches in the input string.

Handling Optional Submatches

This example shows how to handle patterns with optional components. We parse log entries with optional error codes.

optional_submatches.go

package main

import ( “fmt” “regexp” )

func main() { re := regexp.MustCompile(\[(.*?)\]\s(.*?)(?:\s\((\d+)\))?$) logs := []string{ “[ERROR] Connection failed”, “[WARNING] Low memory (1024)”, }

for _, log := range logs {
    matches := re.FindSubmatch([]byte(log))
    if matches != nil {
        fmt.Println("\nLevel:", string(matches[1]))
        fmt.Println("Message:", string(matches[2]))
        if len(matches[3]) > 0 {
            fmt.Println("Code:", string(matches[3]))
        }
    }
}

}

The pattern makes the error code optional with (?:…)?. We check the length of matches[3] before using it.

Extracting Nested Submatches

This advanced example demonstrates nested capture groups. We parse configuration lines with key-value pairs.

nested_submatches.go

package main

import ( “fmt” “regexp” )

func main() { re := regexp.MustCompile((\w+)=((?:"([^"]*)"|([^,]*))(?:,|$))) config := name="John Doe",age=30,city=New York

allMatches := re.FindAllSubmatch([]byte(config), -1)
for _, match := range allMatches {
    fmt.Println("\nKey:", string(match[1]))
    if len(match[3]) > 0 {
        fmt.Println("Value (quoted):", string(match[3]))
    } else {
        fmt.Println("Value:", string(match[4]))
    }
}

}

The pattern handles both quoted and unquoted values. Nested groups allow us to distinguish between different value formats.

Performance Considerations

When processing large texts, consider using FindSubmatchIndex for better performance. This example compares both approaches.

performance.go

package main

import ( “fmt” “regexp” “time” )

func main() { re := regexp.MustCompile((\d{4})-(\d{2})-(\d{2})) text := []byte(“Date: 2025-04-20, Time: 12:30”)

start := time.Now()
matches := re.FindSubmatch(text)
fmt.Println("FindSubmatch:", string(matches[1]), time.Since(start))

start = time.Now()
indices := re.FindSubmatchIndex(text)
year := text[indices[2]:indices[3]]
fmt.Println("FindSubmatchIndex:", string(year), time.Since(start))

}

FindSubmatchIndex returns byte indices instead of substrings. This avoids allocations and is faster for large-scale processing.

Source

Go regexp package documentation

This tutorial covered the Regexp.FindSubmatch method in Go with practical examples of submatch extraction from strings.

Author

My name is Jan Bodnar, and I am a passionate programmer with extensive programming experience. I have been writing programming articles since 2007. To date, I have authored over 1,400 articles and 8 e-books. I possess more than ten years of experience in teaching programming.

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