How to read large files in golang and search quickly

Read large files: Use bufio.Reader to read line by line to optimize memory consumption. Fast lookups: Use Bloom filters for probabilistic lookups in O(1) time, or hash file contents into keys for fast lookups using hash tables.

How to use Go to read and write large files and quickly search

Read large files

When dealing with large files, the most efficient way in Go is to usebufio.Reader, which provides a buffer to read the file line by line without consuming a lot of memory . The following is how to usebufio.Readerto read large files:

package main import ( "bufio" "fmt" "log" "os" ) func main() { file, err := os.Open("large_file.txt") if err != nil { log.Fatal(err) } defer file.Close() scanner := bufio.NewScanner(file) for scanner.Scan() { fmt.Println(scanner.Text()) } if err := scanner.Err(); err != nil { log.Fatal(err) } }

Quick Search

For quickly finding content in large files, one An effective method is to use aBloom filteror aHash table.

Bloom filteris a probabilistic data structure used to quickly determine whether an element is present in a set. It can provide false positive results in O(1) time complexity but avoids scanning the entire file.

Hash tableis a data structure that allows fast lookup of values by key. For large files, you can use a hash table to hash the contents of the file as keys and store line numbers or other identifiers as values.

Here's an example of using a Bloom filter to do a quick lookup:

package main import ( "bloomfilter" "fmt" "log" "os" ) func main() { // 创建 Bloom 过滤器 bf := bloomfilter.NewBloomFilter(1000000, 8) // 将文件的内容添加到 Bloom 过滤器 file, err := os.Open("large_file.txt") if err != nil { log.Fatal(err) } defer file.Close() scanner := bufio.NewScanner(file) for scanner.Scan() { bf.AddString(scanner.Text()) } // 检查字符串是否存在于 Bloom 过滤器中 if bf.TestString("target_string") { fmt.Println("字符串存在于文件中") } else { fmt.Println("字符串不存在于文件中") } }

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