Redis patterns, scheduler

03 Dec 2013

Using Redis is pretty easy to create a simple, distributed and robust scheduler. How? Just using sorted set structure. Sorted set allows you to put inside not only an object but also a score. If you use timestamp as score, you have done!

A scheduler needs these three primitives:

  1. enqueue(object, expiring_time) - enqueues an object to be scheduled
  2. remove(object) - removes object from queue
  3. get_expired() - get an expired object from the queue

The former two primitives are pretty easy to implement, just use ZADD and ZREM command of redis, using the current timestamp (better in UTC) on ZADD:

ZADD scheduled_objects <schedule_timestamp> <object-id>

and a basic ZREM

ZREM scheduled_objects <object-id>

get_expired is a bit harder, it needs to pop a fired element from the set and lock it for an amount of time, required by the worker to do the job with it. Before that time, the worker should already have removed the item from the set. Otherwise, if for any reason it failed (crashes for example), the object will fire again on another worker, we will handle failover in this way.

To achieve this primitive, basic Redis commands are not useful, we need to use a script:

-- Get first element with score > now(), passed by client as ARGV[1]
local res ='ZRANGEBYSCORE',KEYS[1],0,ARGV[1],'LIMIT',0,1)
-- If there is an element, then lock it for a while. Means updating its score
-- to now+<lock_delay>, passed by client as ARGV[2]
if #res > 0 then'ZADD', KEYS[1], ARGV[2], res[1])
  return res[1]
  return false

Used in this way:

EXEC <script> 1 scheduled_objects <now> <now+lock_for>

Finally you need a process-worker, written in any language you want that every N seconds polls redis using get_expired() primitive, getting jobs and running the work.


Weakpoints of this scheduler are: polling approach and schedule time precision, which is in the range 0 ≤ precision ≤ polling_interval. But as a tradeoff, the result is a scheduler with no master/slaves synchonizations, simple and with good failover.

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