Is there a Redis data structure, which would allow atomic operation of popping (get+remove) multiple elements, which it contains?
There are well known SPOP or RPOP, but they always return a single value. Therefore, when I need first N values from set/list, I need to call the command N-times, which is expensive. Let's say the set/list contains millions of items. Is there anything like SPOPM "setName" 1000
, which would return and remove 1000 random items from set or RPOPM "listName" 1000
, which would return 1000 right-most items from list?
I know there are commands like SRANDMEMBER and LRANGE, but they do not remove the items from the data structure. They can be deleted separately. However, if there are more clients reading from the same data structure, some items can be read more than once and some can be deleted without reading! Therefore, atomicity is what my question is about.
Also, I am fine if the time complexity for such operation is more expensive. I doubt it will be more expensive than issuing N (let's say 1000, N from the previous example) separate requests to Redis server.
I also know about separate transaction support. However, this sentence from Redis docs discourages me from using it for parallel processes modifying the set (destructively reading from it):
When using WATCH, EXEC will execute commands only if the watched keys were not modified, allowing for a check-and-set mechanism.
Starting from Redis 3.2, the command SPOP
has a [count]
argument to retrieve multiple elements from a set.
Use LRANGE
with LTRIM
in a pipeline. The pipeline will be run as one atomic transaction. Your worry above about WATCH
, EXEC
will not be applicable here because you are running the LRANGE
and LTRIM
as one transaction without the ability for any other transactions from any other clients to come between them. Try it out.
To expand on Eli's response with a complete example for list collections, using lrange
and ltrim
builtins instead of Lua:
127.0.0.1:6379> lpush a 0 1 2 3 4 5 6 7 8 9
(integer) 10
127.0.0.1:6379> lrange a 0 3 # read 4 items off the top of the stack
1) "9"
2) "8"
3) "7"
4) "6"
127.0.0.1:6379> ltrim a 4 -1 # remove those 4 items
OK
127.0.0.1:6379> lrange a 0 999 # remaining items
1) "5"
2) "4"
3) "3"
4) "2"
5) "1"
6) "0"
If you wanted to make the operation atomic, you would wrap the lrange and ltrim in multi
and exec
commands.
Also as noted elsewhere, you should probably ltrim
the number of returned items not the number of items you asked for. e.g. if you did lrange a 0 99
but got 50 items you would ltrim a 50 -1
not ltrim a 100 -1
.
To implement queue semantics instead of a stack, replace lpush
with rpush
.
if you want a lua script, this should be fast and easy.
local result = redis.call('lrange',KEYS[1],0,ARGV[1]-1)
redis.call('ltrim',KEYS[1],ARGV[1],-1)
return result
then you don't have to loop.
update: I tried to do this with srandmember (in 2.6) with the following script:
local members = redis.call('srandmember', KEYS[1], ARGV[1])
redis.call('srem', KEYS[1], table.concat(table, ' '))
return members
but I get an error:
error: -ERR Error running script (call to f_6188a714abd44c1c65513b9f7531e5312b72ec9b):
Write commands not allowed after non deterministic commands
I don't know if future version allow this but I assume not. I think it would be problem with replication.
Redis 4.0+ now supports modules which add all kinds of new functionality and data types with much faster and safer processing than Lua scripts or multi
/exec
pipelines.
Redis Labs, the current sponsor behind Redis, has a useful set of extension modules called redex here: https://github.com/RedisLabsModules/redex
The rxlists
module adds several list operations including LMPOP
and RMPOP
so you can atomically pop multiple values from a Redis list. The logic is still O(n) (basically doing a single pop in a loop) but all you have to do is install the module once and just send that custom command. I use it on lists with millions of items and thousands popped at once generating 500MB+ of network traffic without issue.
Here is a python snippet that can achieve this using redis-py
and pipeline:
from redis import StrictRedis
client = StrictRedis()
def get_messages(q_name, prefetch_count=100):
pipe = client.pipeline()
pipe.lrange(q_name, 0, prefetch_count - 1) # Get msgs (w/o pop)
pipe.ltrim(q_name, prefetch_count, -1) # Trim (pop) list to new value
messages, trim_success = pipe.execute()
return messages
I was thinking that I could just do a a for loop of pop
but that would not be efficient, even with pipeline especially if the list queue is smaller than prefetch_count
. I have a full RedisQueue class implemented here if you want to look. Hope it helps!
I think you should look at LUA support in Redis. If you write a LUA script and executes it on redis, it is guaranteed that it is atomic (because Redis is mono-threaded). No queries will be performed before the end of your LUA script (ie: you can't implement a big task in LUA or redis will get slow).
So, in this script you add your SPOP and RPOP, you can append the results from each redis command in an LUA array for instance and then return the array to your redis client.
What the documentation is saying about MULTI is that it is optimistic locking, that means it will retry doing the multi thing with WATCH until the watched value is not modified. If you have many writes on the watched value, it will be slower than 'pessimistic' locking (like many SQL databases: POSTGRESQL, MYSQL...) that in some manner 'stops the world' in order for the query to be executed first. Pessimistic locking is not implemented in redis, but you can implement it if you want, but it is complex and maybe you don't need it (not so many writes on this value: optimistic should be quite enough).
you probably can try a lua script (script.lua) like this:
local result = {}
for i = 0 , ARGV[1] do
local val = redis.call('RPOP',KEYS[1])
if val then
table.insert(result,val)
end
end
return result
you can call it this way :
redis-cli eval "$(cat script.lua)" 1 "listName" 1000
来源:https://stackoverflow.com/questions/20621775/pop-multiple-values-from-redis-data-structure-atomically