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How to implement fuzzy query through string matching in Golang

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2023-04-14 14:42:292441browse

In data processing, fuzzy query is a very practical skill. In Golang, fuzzy queries can be implemented by using regular expressions or string matching.

In general, the string matching method is simpler and can meet the requirements for general fuzzy queries. Let's introduce how to implement fuzzy query through string matching in Golang.

First, we need to import the package related to string processing strings, and then use the function Contains in the package to implement fuzzy query of strings.

import (
    "strings"
)

func FuzzySearch(pattern string, str string) bool {
    return strings.Contains(str, pattern)
}

In the above code, we define a FuzzySearch function that receives two string type parameters. The first parameter pattern is the fuzzy query pattern. The second parameter str is the string that needs to be queried.

In the FuzzySearch function, we use the strings.Contains function to implement the fuzzy query function. This function will return a bool value indicating whether the parameter str contains the parameter pattern.

Next we can write a simple test code to verify the function of the above function:

func main() {
    fmt.Println(FuzzySearch("abc", "abcdef"))  // true
    fmt.Println(FuzzySearch("efg", "abcdef"))  // false
}

In the above test code, we used the string abcdef respectively A fuzzy query was performed with efg. The first query returned true, and the second query returned false, which can verify the effect of the function.

In addition, it should be noted that the strings.Contains function is case-sensitive. If you need to implement case-insensitive fuzzy query, you can convert the string to uniform case. to fulfill.

In summary, it is very simple to implement string fuzzy query in Golang. By importing the Contains function in the strings package, we can quickly implement the fuzzy query function. In actual data processing, fuzzy queries can help us locate the required data faster and improve the efficiency of data processing.

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