SETNX (deprecated)
As of Redis version 2.6.12, this command is regarded as deprecated.
It can be replaced by SET
with the NX
argument when migrating or writing new code.
SETNX key value
- Available since:
- 1.0.0
- Time complexity:
- O(1)
- ACL categories:
-
@write
,@string
,@fast
,
Set key
to hold string value
if key
does not exist.
In that case, it is equal to SET
.
When key
already holds a value, no operation is performed.
SETNX
is short for "SET if Not eXists".
Return
Integer reply, specifically:
1
if the key was set0
if the key was not set
Examples
Design pattern: Locking with SETNX
Please note that:
- The following pattern is discouraged in favor of the Redlock algorithm which is only a bit more complex to implement, but offers better guarantees and is fault tolerant.
- We document the old pattern anyway because certain existing implementations link to this page as a reference. Moreover it is an interesting example of how Redis commands can be used in order to mount programming primitives.
- Anyway even assuming a single-instance locking primitive, starting with 2.6.12 it is possible to create a much simpler locking primitive, equivalent to the one discussed here, using the
SET
command to acquire the lock, and a simple Lua script to release the lock. The pattern is documented in theSET
command page.
That said, SETNX
can be used, and was historically used, as a locking primitive. For example, to acquire the lock of the key foo
, the client could try the
following:
SETNX lock.foo <current Unix time + lock timeout + 1>
If SETNX
returns 1
the client acquired the lock, setting the lock.foo
key
to the Unix time at which the lock should no longer be considered valid.
The client will later use DEL lock.foo
in order to release the lock.
If SETNX
returns 0
the key is already locked by some other client.
We can either return to the caller if it's a non blocking lock, or enter a loop
retrying to hold the lock until we succeed or some kind of timeout expires.
Handling deadlocks
In the above locking algorithm there is a problem: what happens if a client fails, crashes, or is otherwise not able to release the lock? It's possible to detect this condition because the lock key contains a UNIX timestamp. If such a timestamp is equal to the current Unix time the lock is no longer valid.
When this happens we can't just call DEL
against the key to remove the lock
and then try to issue a SETNX
, as there is a race condition here, when
multiple clients detected an expired lock and are trying to release it.
- C1 and C2 read
lock.foo
to check the timestamp, because they both received0
after executingSETNX
, as the lock is still held by C3 that crashed after holding the lock. - C1 sends
DEL lock.foo
- C1 sends
SETNX lock.foo
and it succeeds - C2 sends
DEL lock.foo
- C2 sends
SETNX lock.foo
and it succeeds - ERROR: both C1 and C2 acquired the lock because of the race condition.
Fortunately, it's possible to avoid this issue using the following algorithm. Let's see how C4, our sane client, uses the good algorithm:
-
C4 sends
SETNX lock.foo
in order to acquire the lock -
The crashed client C3 still holds it, so Redis will reply with
0
to C4. -
C4 sends
GET lock.foo
to check if the lock expired. If it is not, it will sleep for some time and retry from the start. -
Instead, if the lock is expired because the Unix time at
lock.foo
is older than the current Unix time, C4 tries to perform:GETSET lock.foo <current Unix timestamp + lock timeout + 1>
-
Because of the
GETSET
semantic, C4 can check if the old value stored atkey
is still an expired timestamp. If it is, the lock was acquired. -
If another client, for instance C5, was faster than C4 and acquired the lock with the
GETSET
operation, the C4GETSET
operation will return a non expired timestamp. C4 will simply restart from the first step. Note that even if C4 set the key a bit a few seconds in the future this is not a problem.
In order to make this locking algorithm more robust, a
client holding a lock should always check the timeout didn't expire before
unlocking the key with DEL
because client failures can be complex, not just
crashing but also blocking a lot of time against some operations and trying
to issue DEL
after a lot of time (when the LOCK is already held by another
client).