Implementation of distributed lock based on Redis

Source: Internet
Author: User
Tags delete key uuid
Redis Lock

Redis is a single process single-threaded mode that uses queue mode to turn concurrent access into serial access, and there is no competitive relationship between multiple clients for Redis connections.
SETNX command (SET if not eXists) syntax:

Setnx Key value

If a given key already exists, SETNX does nothing and returns 0.

Security: guarantees mutual exclusion , at any time, only one client can hold the lock
No deadlock: Even if the client currently holding the lock crashes or is separated from the cluster, the other clients will always be able to acquire the lock.
Fault tolerance: As long as most of the Redis nodes are online, the client can acquire and release the lock. Lock:

if (Conn.setnx ("Lock", "1"). Equals (1L)) {return 
true; 
} 
return false; 
Unlock
Conn.del ("lock");

There is a problem: the client crashes or otherwise causes the unlock to fail, and other clients will no longer be able to acquire the lock, causing the deadlock.

SET resource_name my_random_value NX PX 30000 

The NX in the command indicates that if the key does not exist, it is added, and the presence is returned directly.
PX Indicates the expiration time of the key in milliseconds, which is 30000ms.
Setting the expiration time is to prevent a client from acquiring a lock from suddenly collapsing or other unusual circumstances, causing the object lock in the Redis to be unable to release, causing the deadlock. The value of the key needs to be guaranteed to be a unique value in all clients requesting the lock service. This is to ensure that the client who gets the lock can safely release the lock, preventing the lock object from being deleted by another client. Distributed Locks

Example: A client gets the object lock but is blocked for some reason and cannot release the lock in time. The lock object in Redis has been deleted because the expiration time has expired.
The B client requested to acquire the lock successfully.
C Client request fetch lock succeeded.
Both B and C got the lock, so the distributed lock failed. Lock:

public static string lock (String lockname, long lockTimeout) { 
string identifier = Uuid.randomuuid (). toString ();
if (Redis.setnx (Lockname, identifier). Equals (1L)) { 
    Redis.pexpire (lockname, lockTimeout); 
} else if ( Redis.ttl (Lockname). Equals ( -1l)) { 
    Redis.pexpire (lockname, lockTimeout); 
    return null;
}
Unlock:
public static void Unlock (string lockname, string identifier) { 
if (identifier.equals (Redis.get (lockname))) { 
Redis.del (lockname);
}

Lock parameter meaning: Keys[1]: Need to lock the key, here needs to be a string type.
ARGV[1]: Lock timeout to prevent deadlock
ARGV[2]: The unique identification of the lock, which is just the ID (uuid.randomuuid ()) + ":" + threadId

Check if key is already in use, and if not, set timeout time and unique identity, initialize value=1

if (Redis.call (' exists ', keys[1]) = = 0) 
then   
redis.call (' Hset ', keys[1], argv[2], 1) 
; Redis.call (' Pexpire ', keys[1], argv[1]);   
return nil; 
End If the lock is reentrant, it is necessary to determine that the key field of the lock is consistent with the value plus one 
if (Redis.call (' hexists ', keys[1], argv[2]) = = 1) 
then Redis.call 
(' Hincrby ', keys[1], argv[2], 1); 
Redis.call (' Pexpire ', keys[1], argv[1);//Lock re-enter Reset timeout time return 
nil; 
End Returns the remaining expiration time return 
redis.call (' Pttl ', keys[1]);
Unlock

Parameters:
–KEYS[1]: Key that needs to be locked, here needs to be a string type.
–KEYS[2]: Redis message ChannelName, a distributed lock corresponds to the only one
ChannelName: "redisson_lock__channel__{" + getName () + "}"
–ARGV[1]: Reids message body, here only need a byte of the tag can be, the main tag Redis key has been unlocked, combined with Redis subscribe, can wake up other subscribing to unlock the message of the client thread to request a lock.
–ARGV[2]: Lock timeout, prevent deadlock –argv[3]: Unique identification of the lock, which is the ID (uuid.randomuuid ()) + ":" + threadId

If the key is no longer present, the description has been unlocked, direct Publishing (publish) Redis message

if (Redis.call (' exists ', keys[1]) = = 0) 
redis.call (' Publish ', keys[2], argv[1]); 
return 1; 
End Key and field mismatch, indicating that the current client thread does not hold a lock and cannot actively unlock it. 
if (redis.call (' hexists ', keys[1], argv[3]) = = 0) 
then return nil; 
End

Subtract value by 1

    Local counter = Redis.call (' Hincrby ', keys[1], argv[3],-1); If the counter>0 indicates that the lock is in reentrant, you cannot delete the key 
if (Counter > 0)  
then Redis.call (' Pexpire ', keys[1], argv[2]);                             
return 0; 
else//delete key and publish unlock message 
redis.call (' del ', Keys[1]);                             
Redis.call (' Publish ', keys[2], argv[1]); 
return 1; 
End; 
return nil;

the high-performance lock, unlock section uses LUA encapsulation to ensure atomicity.

Use the PUB/SUB message mechanism to reduce the wait time for lock requests security locks with timeout time, lock identification unique, prevent deadlock design to be reentrant, avoid deadlock

Reentrant locks refer to the same locks that can be acquired multiple times in a single thread, such as the Reentrantlock and synchronized keywords in Java

 public void Get () {lock.lock (); 
Set (); 
Lock.unlock (); 
public void Set () {Lock.lock (); Lock.unlock (); }
Related Article

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.