How to implement hashmap in golang
The map structure that comes with the golang language is a very convenient data type, but for more efficient and flexible data operations, we can choose to use the hashmap implemented in golang. This article will introduce how golang implements hashmap.
1. Implementation Principle
The principle of Golang to implement hashmap is very simple, which is to map key-value pairs to an array through a certain algorithm, and use a linked list to resolve hash conflicts. Specifically, implementing hashmap requires the following steps:
- Create an array with an array size of 2 to the nth power (n is adjustable).
- Calculate the hash value of each key-value pair to be inserted, and then use the hash value to modulo the array size to obtain its position in the array.
- If the position is empty, directly insert the key-value pair into the linked list at that position in the array.
- If there is already a value at this position, traverse the linked list at this position to determine whether the same key exists. If it exists, update its corresponding value; if it does not exist, insert the node directly into the end of the linked list.
- When searching for a key-value pair, first use the hash value to modulo the array size to obtain its position in the array, and then traverse the linked list at that position to find the value of the corresponding key.
2. Implementation code
The following is a simple golang code to implement hashmap:
package hashmap import "sync" type Node struct { key string value interface{} next *Node } type HashMap struct { size int nodes []*Node mutex sync.Mutex } func NewHashMap(size int) *HashMap { return &HashMap{size, make([]*Node, size), sync.Mutex{}} } func (hm *HashMap) hash(key string) int { h := 0 for i := 0; i < len(key); i++ { h = (h << 5) + h + int(key[i]) } return h % hm.size } func (hm *HashMap) Set(key string, value interface{}) { hm.mutex.Lock() defer hm.mutex.Unlock() i := hm.hash(key) if hm.nodes[i] == nil { hm.nodes[i] = &Node{key, value, nil} } else { for n := hm.nodes[i]; n != nil; n = n.next { if n.key == key { n.value = value return } if n.next == nil { n.next = &Node{key, value, nil} break } } } } func (hm *HashMap) Get(key string) interface{} { hm.mutex.Lock() defer hm.mutex.Unlock() i := hm.hash(key) for n := hm.nodes[i]; n != nil; n = n.next { if n.key == key { return n.value } } return nil } func (hm *HashMap) Delete(key string) { hm.mutex.Lock() defer hm.mutex.Unlock() i := hm.hash(key) if hm.nodes[i] != nil { if hm.nodes[i].key == key { hm.nodes[i] = hm.nodes[i].next return } for n := hm.nodes[i]; n.next != nil; n = n.next { if n.next.key == key { n.next = n.next.next return } } } }
3. Usage examples
Usage examples are as follows :
package main import ( "fmt" "hashmap" ) func main() { m := hashmap.NewHashMap(16) m.Set("apple", 1) m.Set("banana", 2) m.Set("cat", 3) fmt.Println(m.Get("apple")) // Output: 1 fmt.Println(m.Get("carrot")) // Output: <nil> m.Delete("banana") fmt.Println(m.Get("banana")) // Output: <nil> }
4. Summary
Implementing hashmap through golang can facilitate efficient and flexible data operations. The principle of implementing hashmap is very simple. It mainly maps key-value pairs to an array through a hash algorithm and uses a linked list to resolve hash conflicts. The code in the usage example can be used for your reference, and you can also optimize and improve it according to your own needs.
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