Increments the number stored at
key by one. If the key does not exist, it is set to
0 before performing the operation. An error is returned if the key contains a value of the wrong type or contains a string that can not be represented as integer. This operation is limited to 64 bit signed integers.
Note: this is a string operation because Redis does not have a dedicated integer type. The string stored at the key is interpreted as a base-10 64 bit signed integer to execute the operation.
Redis stores integers in their integer representation, so for string values that actually hold an integer, there is no overhead for storing the string representation of the integer.
Integer reply: the value of
key after the increment
"OK"redis> INCR mykey
(integer) 11redis> GET mykey
The counter pattern is the most obvious thing you can do with Redis atomic increment operations. The idea is simply send an INCR command to Redis every time an operation occurs. For instance in a web application we may want to know how many page views this user did every day of the year.
To do so the web application may simply increment a key every time the user performs a page view, creating the key name concatenating the User ID and a string representing the current date.
This simple pattern can be extended in many ways:
The rate limiter pattern is a special counter that is used to limit the rate at which an operation can be performed. The classical materialization of this pattern involves limiting the number of requests that can be performed against a public API.
We provide two implementations of this pattern using INCR, where we assume that the problem to solve is limiting the number of API calls to a maximum of ten requests per second per IP address.
The more simple and direct implementation of this pattern is the following:
FUNCTION LIMIT_API_CALL(ip) ts = CURRENT_UNIX_TIME() keyname = ip+":"+ts current = GET(keyname) IF current != NULL AND current > 10 THEN ERROR "too many requests per second" ELSE MULTI INCR(keyname,1) EXPIRE(keyname,10) EXEC PERFORM_API_CALL() END
Basically we have a counter for every IP, for every different second. But this counters are always incremented setting an expire of 10 seconds so that they'll be removed by Redis automatically when the current second is a different one.
An alternative implementation uses a single counter, but is a bit more complex to get it right without race conditions. We'll examine different variants.
FUNCTION LIMIT_API_CALL(ip): current = GET(ip) IF current != NULL AND current > 10 THEN ERROR "too many requests per second" ELSE value = INCR(ip) IF value == 1 THEN EXPIRE(ip,1) END PERFORM_API_CALL() END
The counter is created in a way that it only will survive one second, starting from the first request performed in the current second. If there are more than 10 requests in the same second the counter will reach a value greater than 10, otherwise it will expire and start again from 0.
local current current = redis.call("incr",KEYS) if tonumber(current) == 1 then redis.call("expire",KEYS,1) end
There is a different way to fix this issue without using scripting, but using Redis lists instead of counters. The implementation is more complex and uses more advanced features but has the advantage of remembering the IP addresses of the clients currently performing an API call, that may be useful or not depending on the application.
FUNCTION LIMIT_API_CALL(ip) current = LLEN(ip) IF current > 10 THEN ERROR "too many requests per second" ELSE IF EXISTS(ip) == FALSE MULTI RPUSH(ip,ip) EXPIRE(ip,1) EXEC ELSE RPUSHX(ip,ip) END PERFORM_API_CALL() END
The RPUSHX command only pushes the element if the key already exists.
Note that we have a race here, but it is not a problem: EXISTS may return false but the key may be created by another client before we create it inside the MULTI / EXEC block. However this race will just miss an API call under rare conditions, so the rate limiting will still work correctly.
© 2009–2020 Salvatore Sanfilippo
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