Consistency hash algorithm implementation (pseudo code)

Refer to this blog for the principle of consistent Hash algorithm, and the introduction is more detailed: https://www.cnblogs.com/lpfuture/p/5796398.html

Preset scene: all requests Then, according to the consistent hash algorithm, a server is selected for forwarding, and the consistent hash algorithm obtains the server’s ip.

Assume that the node storage structure is as follows:

class Node{

String addr;
//storage server ip
}

Implementation scheme one (bitmap+HashMap)

With the help of data structure

1. 2^32 length bitmap, The following table used to mark nodes

2. HashMap, used to store the mapping from subscripts to objects

The pseudo-code for data search is implemented as follows:

bitmap = [0,0,0,1,0,0,1,...0]; //2^32 bitmap, each value of 1 indicates that this position contains node

indexToAddr map; //store the position index obtained in the bitmap Mapping to Node
n=hash(x); //x is assumed to be the user obtained in the request id, an integer between 0-2^32-1 can be obtained through the hash algorithm

//Start calculation
while(bitmap[n] != 1){
n
= (n+1)%2^32;
}

//n is the position of node in the ring, from Take this value out of hash
Node node = map.get(n);

return node.addr;

The implementation of node insertion pseudo code is as follows:

Node toBeInsert = new Node(x); / /Insert a node with value x

int n = hash(x);
bitmap[n]
= 1; //Set to 1< /span>
map.put(n, toBeInsert);

This method is completely implemented in accordance with the principles introduced, and a 2 ^32 bitmap, if it is not compressed, it needs to occupy 512M of space. It takes up a lot of space, but can directly locate the value.

Realization plan two (linked list)

With the help of data structure: linked list

class LinkNode{ //define linked list data structure

LinkNode next;
int index; //Subscript
Node value;
}

LinkNode head
= []->[]->...->[]->head; //Linked list sorted by index

int n=hash(x);
LinkNode front
= null;
LinkNode cur
=head;
while(cur.index<n){
front
= cur;
cur
= cur.next;
}

if(front == null) front =< span style="color: #000000;"> head;

return front.val.node;

The linked list method will start from the list every time Start traversing once to find the specified position.

Insert in linked list mode: Just create a node and insert it directly to ensure that the linked list is in order.

class Node{

String addr;
//storage server ip
}

bitmap = [0,0,0,1,0,0,1,...0]; //2^32 bitmap, each value of 1 indicates that this position contains node

indexToAddr map; //store the position index obtained in the bitmap Mapping to Node
n=hash(x); //x is assumed to be the user obtained in the request id, an integer between 0-2^32-1 can be obtained through the hash algorithm

//Start calculation
while(bitmap[n] != 1){
n
= (n+1)%2^32;
}

//n is the position of node in the ring, from Take this value out of hash
Node node = map.get(n);

return node.addr;

Node toBeInsert = new Node(x); //insert value Node for x

int n = hash(x);
bitmap[n]
= 1; //Set to 1< /span>
map.put(n, toBeInsert);

class LinkNode{ //Define the data structure of the linked list

LinkNode next;
int index; //Subscript
Node value;
}

LinkNode head
= []->[]->...->[]->head; //Linked list sorted by index

int n=hash(x);
LinkNode front
= null;
LinkNode cur
=head;
while(cur.index<n){
front
= cur;
cur
= cur.next;
}

if(front == null) front =< span style="color: #000000;"> head;

return front.val.node;

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