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queue.lua
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queue.lua
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-------------------------------------------------------------------------------
-- Queue class
-------------------------------------------------------------------------------
-- Return a queue object
function Qless.queue(name)
assert(name, 'Queue(): no queue name provided')
local queue = {}
setmetatable(queue, QlessQueue)
queue.name = name
-- Access to our work
queue.work = {
peek = function(count)
if count == 0 then
return {}
end
local jids = {}
for index, jid in ipairs(redis.call(
'zrevrange', queue:prefix('work'), 0, count - 1)) do
table.insert(jids, jid)
end
return jids
end, remove = function(...)
if #arg > 0 then
return redis.call('zrem', queue:prefix('work'), unpack(arg))
end
end, add = function(now, priority, jid)
return redis.call('zadd',
queue:prefix('work'), priority - (now / 10000000000), jid)
end, score = function(jid)
return redis.call('zscore', queue:prefix('work'), jid)
end, length = function()
return redis.call('zcard', queue:prefix('work'))
end
}
-- Access to our locks
queue.locks = {
expired = function(now, offset, count)
return redis.call('zrangebyscore',
queue:prefix('locks'), -math.huge, now, 'LIMIT', offset, count)
end, peek = function(now, offset, count)
return redis.call('zrangebyscore', queue:prefix('locks'),
now, math.huge, 'LIMIT', offset, count)
end, add = function(expires, jid)
redis.call('zadd', queue:prefix('locks'), expires, jid)
end, remove = function(...)
if #arg > 0 then
return redis.call('zrem', queue:prefix('locks'), unpack(arg))
end
end, running = function(now)
return redis.call('zcount', queue:prefix('locks'), now, math.huge)
end, length = function(now)
-- If a 'now' is provided, we're interested in how many are before
-- that time
if now then
return redis.call('zcount', queue:prefix('locks'), 0, now)
else
return redis.call('zcard', queue:prefix('locks'))
end
end
}
-- Access to our dependent jobs
queue.depends = {
peek = function(now, offset, count)
return redis.call('zrange',
queue:prefix('depends'), offset, offset + count - 1)
end, add = function(now, jid)
redis.call('zadd', queue:prefix('depends'), now, jid)
end, remove = function(...)
if #arg > 0 then
return redis.call('zrem', queue:prefix('depends'), unpack(arg))
end
end, length = function()
return redis.call('zcard', queue:prefix('depends'))
end
}
-- Access to our scheduled jobs
queue.scheduled = {
peek = function(now, offset, count)
return redis.call('zrange',
queue:prefix('scheduled'), offset, offset + count - 1)
end, ready = function(now, offset, count)
return redis.call('zrangebyscore',
queue:prefix('scheduled'), 0, now, 'LIMIT', offset, count)
end, add = function(when, jid)
redis.call('zadd', queue:prefix('scheduled'), when, jid)
end, remove = function(...)
if #arg > 0 then
return redis.call('zrem', queue:prefix('scheduled'), unpack(arg))
end
end, length = function()
return redis.call('zcard', queue:prefix('scheduled'))
end
}
-- Access to our recurring jobs
queue.recurring = {
peek = function(now, offset, count)
return redis.call('zrangebyscore', queue:prefix('recur'),
0, now, 'LIMIT', offset, count)
end, ready = function(now, offset, count)
end, add = function(when, jid)
redis.call('zadd', queue:prefix('recur'), when, jid)
end, remove = function(...)
if #arg > 0 then
return redis.call('zrem', queue:prefix('recur'), unpack(arg))
end
end, update = function(increment, jid)
redis.call('zincrby', queue:prefix('recur'), increment, jid)
end, score = function(jid)
return redis.call('zscore', queue:prefix('recur'), jid)
end, length = function()
return redis.call('zcard', queue:prefix('recur'))
end
}
return queue
end
-- Return the prefix for this particular queue
function QlessQueue:prefix(group)
if group then
return QlessQueue.ns..self.name..'-'..group
else
return QlessQueue.ns..self.name
end
end
-- Stats(now, date)
-- ---------------------
-- Return the current statistics for a given queue on a given date. The
-- results are returned are a JSON blob:
--
--
-- {
-- # These are unimplemented as of yet
-- 'failed': 3,
-- 'retries': 5,
-- 'wait' : {
-- 'total' : ...,
-- 'mean' : ...,
-- 'variance' : ...,
-- 'histogram': [
-- ...
-- ]
-- }, 'run': {
-- 'total' : ...,
-- 'mean' : ...,
-- 'variance' : ...,
-- 'histogram': [
-- ...
-- ]
-- }
-- }
--
-- The histogram's data points are at the second resolution for the first
-- minute, the minute resolution for the first hour, the 15-minute resolution
-- for the first day, the hour resolution for the first 3 days, and then at
-- the day resolution from there on out. The `histogram` key is a list of
-- those values.
function QlessQueue:stats(now, date)
date = assert(tonumber(date),
'Stats(): Arg "date" missing or not a number: '.. (date or 'nil'))
-- The bin is midnight of the provided day
-- 24 * 60 * 60 = 86400
local bin = date - (date % 86400)
-- This a table of all the keys we want to use in order to produce a histogram
local histokeys = {
's0','s1','s2','s3','s4','s5','s6','s7','s8','s9','s10','s11','s12','s13','s14','s15','s16','s17','s18','s19','s20','s21','s22','s23','s24','s25','s26','s27','s28','s29','s30','s31','s32','s33','s34','s35','s36','s37','s38','s39','s40','s41','s42','s43','s44','s45','s46','s47','s48','s49','s50','s51','s52','s53','s54','s55','s56','s57','s58','s59',
'm1','m2','m3','m4','m5','m6','m7','m8','m9','m10','m11','m12','m13','m14','m15','m16','m17','m18','m19','m20','m21','m22','m23','m24','m25','m26','m27','m28','m29','m30','m31','m32','m33','m34','m35','m36','m37','m38','m39','m40','m41','m42','m43','m44','m45','m46','m47','m48','m49','m50','m51','m52','m53','m54','m55','m56','m57','m58','m59',
'h1','h2','h3','h4','h5','h6','h7','h8','h9','h10','h11','h12','h13','h14','h15','h16','h17','h18','h19','h20','h21','h22','h23',
'd1','d2','d3','d4','d5','d6'
}
local mkstats = function(name, bin, queue)
-- The results we'll be sending back
local results = {}
local key = 'ql:s:' .. name .. ':' .. bin .. ':' .. queue
local count, mean, vk = unpack(redis.call('hmget', key, 'total', 'mean', 'vk'))
count = tonumber(count) or 0
mean = tonumber(mean) or 0
vk = tonumber(vk)
results.count = count or 0
results.mean = mean or 0
results.histogram = {}
if not count then
results.std = 0
else
if count > 1 then
results.std = math.sqrt(vk / (count - 1))
else
results.std = 0
end
end
local histogram = redis.call('hmget', key, unpack(histokeys))
for i=1,#histokeys do
table.insert(results.histogram, tonumber(histogram[i]) or 0)
end
return results
end
local retries, failed, failures = unpack(redis.call('hmget', 'ql:s:stats:' .. bin .. ':' .. self.name, 'retries', 'failed', 'failures'))
return {
retries = tonumber(retries or 0),
failed = tonumber(failed or 0),
failures = tonumber(failures or 0),
wait = mkstats('wait', bin, self.name),
run = mkstats('run' , bin, self.name)
}
end
-- Peek
-------
-- Examine the next jobs that would be popped from the queue without actually
-- popping them.
function QlessQueue:peek(now, count)
count = assert(tonumber(count),
'Peek(): Arg "count" missing or not a number: ' .. tostring(count))
-- These are the ids that we're going to return. We'll begin with any jobs
-- that have lost their locks
local jids = self.locks.expired(now, 0, count)
-- If we still need jobs in order to meet demand, then we should
-- look for all the recurring jobs that need jobs run
self:check_recurring(now, count - #jids)
-- Now we've checked __all__ the locks for this queue the could
-- have expired, and are no more than the number requested. If
-- we still need values in order to meet the demand, then we
-- should check if any scheduled items, and if so, we should
-- insert them to ensure correctness when pulling off the next
-- unit of work.
self:check_scheduled(now, count - #jids)
-- With these in place, we can expand this list of jids based on the work
-- queue itself and the priorities therein
table.extend(jids, self.work.peek(count - #jids))
return jids
end
-- Return true if this queue is paused
function QlessQueue:paused()
return redis.call('sismember', 'ql:paused_queues', self.name) == 1
end
-- Pause this queue
--
-- Note: long term, we have discussed adding a rate-limiting
-- feature to qless-core, which would be more flexible and
-- could be used for pausing (i.e. pause = set the rate to 0).
-- For now, this is far simpler, but we should rewrite this
-- in terms of the rate limiting feature if/when that is added.
function QlessQueue.pause(now, ...)
redis.call('sadd', 'ql:paused_queues', unpack(arg))
end
-- Unpause this queue
function QlessQueue.unpause(...)
redis.call('srem', 'ql:paused_queues', unpack(arg))
end
-- Checks for expired locks, scheduled and recurring jobs, returning any
-- jobs that are ready to be processes
function QlessQueue:pop(now, worker, count)
assert(worker, 'Pop(): Arg "worker" missing')
count = assert(tonumber(count),
'Pop(): Arg "count" missing or not a number: ' .. tostring(count))
-- We should find the heartbeat interval for this queue heartbeat
local expires = now + tonumber(
Qless.config.get(self.name .. '-heartbeat') or
Qless.config.get('heartbeat', 60))
-- If this queue is paused, then return no jobs
if self:paused() then
return {}
end
-- Make sure we this worker to the list of seen workers
redis.call('zadd', 'ql:workers', now, worker)
-- Check our max concurrency, and limit the count
local max_concurrency = tonumber(
Qless.config.get(self.name .. '-max-concurrency', 0))
if max_concurrency > 0 then
-- Allow at most max_concurrency - #running
local allowed = math.max(0, max_concurrency - self.locks.running(now))
count = math.min(allowed, count)
if count == 0 then
return {}
end
end
local jids = self:invalidate_locks(now, count)
-- Now we've checked __all__ the locks for this queue the could
-- have expired, and are no more than the number requested.
-- If we still need jobs in order to meet demand, then we should
-- look for all the recurring jobs that need jobs run
self:check_recurring(now, count - #jids)
-- If we still need values in order to meet the demand, then we
-- should check if any scheduled items, and if so, we should
-- insert them to ensure correctness when pulling off the next
-- unit of work.
self:check_scheduled(now, count - #jids)
-- With these in place, we can expand this list of jids based on the work
-- queue itself and the priorities therein
table.extend(jids, self.work.peek(count - #jids))
local state
for index, jid in ipairs(jids) do
local job = Qless.job(jid)
state = unpack(job:data('state'))
job:history(now, 'popped', {worker = worker})
-- Update the wait time statistics
local time = tonumber(
redis.call('hget', QlessJob.ns .. jid, 'time') or now)
local waiting = now - time
self:stat(now, 'wait', waiting)
redis.call('hset', QlessJob.ns .. jid,
'time', string.format("%.20f", now))
-- Add this job to the list of jobs handled by this worker
redis.call('zadd', 'ql:w:' .. worker .. ':jobs', expires, jid)
-- Update the jobs data, and add its locks, and return the job
job:update({
worker = worker,
expires = expires,
state = 'running'
})
self.locks.add(expires, jid)
local tracked = redis.call('zscore', 'ql:tracked', jid) ~= false
if tracked then
Qless.publish('popped', jid)
end
end
-- If we are returning any jobs, then we should remove them from the work
-- queue
self.work.remove(unpack(jids))
return jids
end
-- Update the stats for this queue
function QlessQueue:stat(now, stat, val)
-- The bin is midnight of the provided day
local bin = now - (now % 86400)
local key = 'ql:s:' .. stat .. ':' .. bin .. ':' .. self.name
-- Get the current data
local count, mean, vk = unpack(
redis.call('hmget', key, 'total', 'mean', 'vk'))
-- If there isn't any data there presently, then we must initialize it
count = count or 0
if count == 0 then
mean = val
vk = 0
count = 1
else
count = count + 1
local oldmean = mean
mean = mean + (val - mean) / count
vk = vk + (val - mean) * (val - oldmean)
end
-- Now, update the histogram
-- - `s1`, `s2`, ..., -- second-resolution histogram counts
-- - `m1`, `m2`, ..., -- minute-resolution
-- - `h1`, `h2`, ..., -- hour-resolution
-- - `d1`, `d2`, ..., -- day-resolution
val = math.floor(val)
if val < 60 then -- seconds
redis.call('hincrby', key, 's' .. val, 1)
elseif val < 3600 then -- minutes
redis.call('hincrby', key, 'm' .. math.floor(val / 60), 1)
elseif val < 86400 then -- hours
redis.call('hincrby', key, 'h' .. math.floor(val / 3600), 1)
else -- days
redis.call('hincrby', key, 'd' .. math.floor(val / 86400), 1)
end
redis.call('hmset', key, 'total', count, 'mean', mean, 'vk', vk)
end
-- Put(now, jid, klass, data, delay,
-- [priority, p],
-- [tags, t],
-- [retries, r],
-- [depends, '[...]'])
-- -----------------------
-- Insert a job into the queue with the given priority, tags, delay, klass and
-- data.
function QlessQueue:put(now, worker, jid, klass, raw_data, delay, ...)
assert(jid , 'Put(): Arg "jid" missing')
assert(klass, 'Put(): Arg "klass" missing')
local data = assert(cjson.decode(raw_data),
'Put(): Arg "data" missing or not JSON: ' .. tostring(raw_data))
delay = assert(tonumber(delay),
'Put(): Arg "delay" not a number: ' .. tostring(delay))
-- Read in all the optional parameters. All of these must come in pairs, so
-- if we have an odd number of extra args, raise an error
if #arg % 2 == 1 then
error('Odd number of additional args: ' .. tostring(arg))
end
local options = {}
for i = 1, #arg, 2 do options[arg[i]] = arg[i + 1] end
-- Let's see what the old priority and tags were
local job = Qless.job(jid)
local priority, tags, oldqueue, state, failure, retries, oldworker =
unpack(redis.call('hmget', QlessJob.ns .. jid, 'priority', 'tags',
'queue', 'state', 'failure', 'retries', 'worker'))
-- If there are old tags, then we should remove the tags this job has
if tags then
Qless.tag(now, 'remove', jid, unpack(cjson.decode(tags)))
end
-- Sanity check on optional args
retries = assert(tonumber(options['retries'] or retries or 5) ,
'Put(): Arg "retries" not a number: ' .. tostring(options['retries']))
tags = assert(cjson.decode(options['tags'] or tags or '[]' ),
'Put(): Arg "tags" not JSON' .. tostring(options['tags']))
priority = assert(tonumber(options['priority'] or priority or 0),
'Put(): Arg "priority" not a number' .. tostring(options['priority']))
local depends = assert(cjson.decode(options['depends'] or '[]') ,
'Put(): Arg "depends" not JSON: ' .. tostring(options['depends']))
-- If the job has old dependencies, determine which dependencies are
-- in the new dependencies but not in the old ones, and which are in the
-- old ones but not in the new
if #depends > 0 then
-- This makes it easier to check if it's in the new list
local new = {}
for _, d in ipairs(depends) do new[d] = 1 end
-- Now find what's in the original, but not the new
local original = redis.call(
'smembers', QlessJob.ns .. jid .. '-dependencies')
for _, dep in pairs(original) do
if new[dep] == nil then
-- Remove k as a dependency
redis.call('srem', QlessJob.ns .. dep .. '-dependents' , jid)
redis.call('srem', QlessJob.ns .. jid .. '-dependencies', dep)
end
end
end
-- Send out a log message
Qless.publish('log', cjson.encode({
jid = jid,
event = 'put',
queue = self.name
}))
-- Update the history to include this new change
job:history(now, 'put', {q = self.name})
-- If this item was previously in another queue, then we should remove it from there
if oldqueue then
local queue_obj = Qless.queue(oldqueue)
queue_obj.work.remove(jid)
queue_obj.locks.remove(jid)
queue_obj.depends.remove(jid)
queue_obj.scheduled.remove(jid)
end
-- If this had previously been given out to a worker, make sure to remove it
-- from that worker's jobs
if oldworker and oldworker ~= '' then
redis.call('zrem', 'ql:w:' .. oldworker .. ':jobs', jid)
-- If it's a different worker that's putting this job, send a notification
-- to the last owner of the job
if oldworker ~= worker then
-- We need to inform whatever worker had that job
local encoded = cjson.encode({
jid = jid,
event = 'lock_lost',
worker = oldworker
})
Qless.publish('w:' .. oldworker, encoded)
Qless.publish('log', encoded)
end
end
-- If the job was previously in the 'completed' state, then we should
-- remove it from being enqueued for destructination
if state == 'complete' then
redis.call('zrem', 'ql:completed', jid)
end
-- Add this job to the list of jobs tagged with whatever tags were supplied
for i, tag in ipairs(tags) do
redis.call('zadd', 'ql:t:' .. tag, now, jid)
redis.call('zincrby', 'ql:tags', 1, tag)
end
-- If we're in the failed state, remove all of our data
if state == 'failed' then
failure = cjson.decode(failure)
-- We need to make this remove it from the failed queues
redis.call('lrem', 'ql:f:' .. failure.group, 0, jid)
if redis.call('llen', 'ql:f:' .. failure.group) == 0 then
redis.call('srem', 'ql:failures', failure.group)
end
-- The bin is midnight of the provided day
-- 24 * 60 * 60 = 86400
local bin = failure.when - (failure.when % 86400)
-- We also need to decrement the stats about the queue on
-- the day that this failure actually happened.
redis.call('hincrby', 'ql:s:stats:' .. bin .. ':' .. self.name, 'failed' , -1)
end
-- First, let's save its data
redis.call('hmset', QlessJob.ns .. jid,
'jid' , jid,
'klass' , klass,
'data' , raw_data,
'priority' , priority,
'tags' , cjson.encode(tags),
'state' , ((delay > 0) and 'scheduled') or 'waiting',
'worker' , '',
'expires' , 0,
'queue' , self.name,
'retries' , retries,
'remaining', retries,
'time' , string.format("%.20f", now))
-- These are the jids we legitimately have to wait on
for i, j in ipairs(depends) do
-- Make sure it's something other than 'nil' or complete.
local state = redis.call('hget', QlessJob.ns .. j, 'state')
if (state and state ~= 'complete') then
redis.call('sadd', QlessJob.ns .. j .. '-dependents' , jid)
redis.call('sadd', QlessJob.ns .. jid .. '-dependencies', j)
end
end
-- Now, if a delay was provided, and if it's in the future,
-- then we'll have to schedule it. Otherwise, we're just
-- going to add it to the work queue.
if delay > 0 then
if redis.call('scard', QlessJob.ns .. jid .. '-dependencies') > 0 then
-- We've already put it in 'depends'. Now, we must just save the data
-- for when it's scheduled
self.depends.add(now, jid)
redis.call('hmset', QlessJob.ns .. jid,
'state', 'depends',
'scheduled', now + delay)
else
self.scheduled.add(now + delay, jid)
end
else
if redis.call('scard', QlessJob.ns .. jid .. '-dependencies') > 0 then
self.depends.add(now, jid)
redis.call('hset', QlessJob.ns .. jid, 'state', 'depends')
else
self.work.add(now, priority, jid)
end
end
-- Lastly, we're going to make sure that this item is in the
-- set of known queues. We should keep this sorted by the
-- order in which we saw each of these queues
if redis.call('zscore', 'ql:queues', self.name) == false then
redis.call('zadd', 'ql:queues', now, self.name)
end
if redis.call('zscore', 'ql:tracked', jid) ~= false then
Qless.publish('put', jid)
end
return jid
end
-- Move `count` jobs out of the failed state and into this queue
function QlessQueue:unfail(now, group, count)
assert(group, 'Unfail(): Arg "group" missing')
count = assert(tonumber(count or 25),
'Unfail(): Arg "count" not a number: ' .. tostring(count))
-- Get up to that many jobs, and we'll put them in the appropriate queue
local jids = redis.call('lrange', 'ql:f:' .. group, -count, -1)
-- And now set each job's state, and put it into the appropriate queue
local toinsert = {}
for index, jid in ipairs(jids) do
local job = Qless.job(jid)
local data = job:data()
job:history(now, 'put', {q = self.name})
redis.call('hmset', QlessJob.ns .. data.jid,
'state' , 'waiting',
'worker' , '',
'expires' , 0,
'queue' , self.name,
'remaining', data.retries or 5)
self.work.add(now, data.priority, data.jid)
end
-- Remove these jobs from the failed state
redis.call('ltrim', 'ql:f:' .. group, 0, -count - 1)
if (redis.call('llen', 'ql:f:' .. group) == 0) then
redis.call('srem', 'ql:failures', group)
end
return #jids
end
-- Recur a job of type klass in this queue
function QlessQueue:recur(now, jid, klass, raw_data, spec, ...)
assert(jid , 'RecurringJob On(): Arg "jid" missing')
assert(klass, 'RecurringJob On(): Arg "klass" missing')
assert(spec , 'RecurringJob On(): Arg "spec" missing')
local data = assert(cjson.decode(raw_data),
'RecurringJob On(): Arg "data" not JSON: ' .. tostring(raw_data))
-- At some point in the future, we may have different types of recurring
-- jobs, but for the time being, we only have 'interval'-type jobs
if spec == 'interval' then
local interval = assert(tonumber(arg[1]),
'Recur(): Arg "interval" not a number: ' .. tostring(arg[1]))
local offset = assert(tonumber(arg[2]),
'Recur(): Arg "offset" not a number: ' .. tostring(arg[2]))
if interval <= 0 then
error('Recur(): Arg "interval" must be greater than 0')
end
-- Read in all the optional parameters. All of these must come in
-- pairs, so if we have an odd number of extra args, raise an error
if #arg % 2 == 1 then
error('Odd number of additional args: ' .. tostring(arg))
end
-- Read in all the optional parameters
local options = {}
for i = 3, #arg, 2 do options[arg[i]] = arg[i + 1] end
options.tags = assert(cjson.decode(options.tags or '{}'),
'Recur(): Arg "tags" must be JSON string array: ' .. tostring(
options.tags))
options.priority = assert(tonumber(options.priority or 0),
'Recur(): Arg "priority" not a number: ' .. tostring(
options.priority))
options.retries = assert(tonumber(options.retries or 0),
'Recur(): Arg "retries" not a number: ' .. tostring(
options.retries))
options.backlog = assert(tonumber(options.backlog or 0),
'Recur(): Arg "backlog" not a number: ' .. tostring(
options.backlog))
local count, old_queue = unpack(redis.call('hmget', 'ql:r:' .. jid, 'count', 'queue'))
count = count or 0
-- If it has previously been in another queue, then we should remove
-- some information about it
if old_queue then
Qless.queue(old_queue).recurring.remove(jid)
end
-- Do some insertions
redis.call('hmset', 'ql:r:' .. jid,
'jid' , jid,
'klass' , klass,
'data' , raw_data,
'priority', options.priority,
'tags' , cjson.encode(options.tags or {}),
'state' , 'recur',
'queue' , self.name,
'type' , 'interval',
-- How many jobs we've spawned from this
'count' , count,
'interval', interval,
'retries' , options.retries,
'backlog' , options.backlog)
-- Now, we should schedule the next run of the job
self.recurring.add(now + offset, jid)
-- Lastly, we're going to make sure that this item is in the
-- set of known queues. We should keep this sorted by the
-- order in which we saw each of these queues
if redis.call('zscore', 'ql:queues', self.name) == false then
redis.call('zadd', 'ql:queues', now, self.name)
end
return jid
else
error('Recur(): schedule type "' .. tostring(spec) .. '" unknown')
end
end
-- Return the length of the queue
function QlessQueue:length()
return self.locks.length() + self.work.length() + self.scheduled.length()
end
-------------------------------------------------------------------------------
-- Housekeeping methods
-------------------------------------------------------------------------------
-- Instantiate any recurring jobs that are ready
function QlessQueue:check_recurring(now, count)
-- This is how many jobs we've moved so far
local moved = 0
-- These are the recurring jobs that need work
local r = self.recurring.peek(now, 0, count)
for index, jid in ipairs(r) do
-- For each of the jids that need jobs scheduled, first
-- get the last time each of them was run, and then increment
-- it by its interval. While this time is less than now,
-- we need to keep putting jobs on the queue
local klass, data, priority, tags, retries, interval, backlog = unpack(
redis.call('hmget', 'ql:r:' .. jid, 'klass', 'data', 'priority',
'tags', 'retries', 'interval', 'backlog'))
local _tags = cjson.decode(tags)
local score = math.floor(tonumber(self.recurring.score(jid)))
interval = tonumber(interval)
-- If the backlog is set for this job, then see if it's been a long
-- time since the last pop
backlog = tonumber(backlog or 0)
if backlog ~= 0 then
-- Check how many jobs we could concievably generate
local num = ((now - score) / interval)
if num > backlog then
-- Update the score
score = score + (
math.ceil(num - backlog) * interval
)
end
end
-- We're saving this value so that in the history, we can accurately
-- reflect when the job would normally have been scheduled
while (score <= now) and (moved < count) do
local count = redis.call('hincrby', 'ql:r:' .. jid, 'count', 1)
moved = moved + 1
local child_jid = jid .. '-' .. count
-- Add this job to the list of jobs tagged with whatever tags were
-- supplied
for i, tag in ipairs(_tags) do
redis.call('zadd', 'ql:t:' .. tag, now, child_jid)
redis.call('zincrby', 'ql:tags', 1, tag)
end
-- First, let's save its data
redis.call('hmset', QlessJob.ns .. child_jid,
'jid' , child_jid,
'klass' , klass,
'data' , data,
'priority' , priority,
'tags' , tags,
'state' , 'waiting',
'worker' , '',
'expires' , 0,
'queue' , self.name,
'retries' , retries,
'remaining' , retries,
'time' , string.format("%.20f", score),
'spawned_from_jid', jid)
Qless.job(child_jid):history(score, 'put', {q = self.name})
-- Now, if a delay was provided, and if it's in the future,
-- then we'll have to schedule it. Otherwise, we're just
-- going to add it to the work queue.
self.work.add(score, priority, child_jid)
score = score + interval
self.recurring.add(score, jid)
end
end
end
-- Check for any jobs that have been scheduled, and shovel them onto
-- the work queue. Returns nothing, but afterwards, up to `count`
-- scheduled jobs will be moved into the work queue
function QlessQueue:check_scheduled(now, count)
-- zadd is a list of arguments that we'll be able to use to
-- insert into the work queue
local scheduled = self.scheduled.ready(now, 0, count)
for index, jid in ipairs(scheduled) do
-- With these in hand, we'll have to go out and find the
-- priorities of these jobs, and then we'll insert them
-- into the work queue and then when that's complete, we'll
-- remove them from the scheduled queue
local priority = tonumber(
redis.call('hget', QlessJob.ns .. jid, 'priority') or 0)
self.work.add(now, priority, jid)
self.scheduled.remove(jid)
-- We should also update them to have the state 'waiting'
-- instead of 'scheduled'
redis.call('hset', QlessJob.ns .. jid, 'state', 'waiting')
end
end
-- Check for and invalidate any locks that have been lost. Returns the
-- list of jids that have been invalidated
function QlessQueue:invalidate_locks(now, count)
local jids = {}
-- Iterate through all the expired locks and add them to the list
-- of keys that we'll return
for index, jid in ipairs(self.locks.expired(now, 0, count)) do
-- Remove this job from the jobs that the worker that was running it
-- has
local worker, failure = unpack(
redis.call('hmget', QlessJob.ns .. jid, 'worker', 'failure'))
redis.call('zrem', 'ql:w:' .. worker .. ':jobs', jid)
-- We'll provide a grace period after jobs time out for them to give
-- some indication of the failure mode. After that time, however, we'll
-- consider the worker dust in the wind
local grace_period = tonumber(Qless.config.get('grace-period'))
-- Whether or not we've already sent a coutesy message
local courtesy_sent = tonumber(
redis.call('hget', QlessJob.ns .. jid, 'grace') or 0)
-- If the remaining value is an odd multiple of 0.5, then we'll assume
-- that we're just sending the message. Otherwise, it's time to
-- actually hand out the work to another worker
local send_message = (courtesy_sent ~= 1)
local invalidate = not send_message
-- If the grace period has been disabled, then we'll do both.
if grace_period <= 0 then
send_message = true
invalidate = true
end
if send_message then
-- This is where we supply a courtesy message and give the worker
-- time to provide a failure message
if redis.call('zscore', 'ql:tracked', jid) ~= false then
Qless.publish('stalled', jid)
end
Qless.job(jid):history(now, 'timed-out')
redis.call('hset', QlessJob.ns .. jid, 'grace', 1)
-- Send a message to let the worker know that its lost its lock on
-- the job
local encoded = cjson.encode({
jid = jid,
event = 'lock_lost',
worker = worker
})
Qless.publish('w:' .. worker, encoded)
Qless.publish('log', encoded)
self.locks.add(now + grace_period, jid)
-- If we got any expired locks, then we should increment the
-- number of retries for this stage for this bin. The bin is
-- midnight of the provided day
local bin = now - (now % 86400)
redis.call('hincrby',
'ql:s:stats:' .. bin .. ':' .. self.name, 'retries', 1)
end
if invalidate then
-- Unset the grace period attribute so that next time we'll send
-- the grace period
redis.call('hdel', QlessJob.ns .. jid, 'grace', 0)
-- See how many remaining retries the job has
local remaining = tonumber(redis.call(
'hincrby', QlessJob.ns .. jid, 'remaining', -1))
-- This is where we actually have to time out the work
if remaining < 0 then
-- Now remove the instance from the schedule, and work queues
-- for the queue it's in
self.work.remove(jid)
self.locks.remove(jid)
self.scheduled.remove(jid)
local group = 'failed-retries-' .. Qless.job(jid):data()['queue']
local job = Qless.job(jid)
job:history(now, 'failed', {group = group})
redis.call('hmset', QlessJob.ns .. jid, 'state', 'failed',
'worker', '',
'expires', '')
-- If the failure has not already been set, then set it
redis.call('hset', QlessJob.ns .. jid,
'failure', cjson.encode({
['group'] = group,
['message'] =
'Job exhausted retries in queue "' .. self.name .. '"',
['when'] = now,
['worker'] = unpack(job:data('worker'))
}))
-- Add this type of failure to the list of failures
redis.call('sadd', 'ql:failures', group)
-- And add this particular instance to the failed types
redis.call('lpush', 'ql:f:' .. group, jid)
if redis.call('zscore', 'ql:tracked', jid) ~= false then
Qless.publish('failed', jid)
end
Qless.publish('log', cjson.encode({
jid = jid,
event = 'failed',
group = group,
worker = worker,
message =
'Job exhausted retries in queue "' .. self.name .. '"'
}))
-- Increment the count of the failed jobs
local bin = now - (now % 86400)
redis.call('hincrby',
'ql:s:stats:' .. bin .. ':' .. self.name, 'failures', 1)
redis.call('hincrby',
'ql:s:stats:' .. bin .. ':' .. self.name, 'failed' , 1)
else
table.insert(jids, jid)
end
end
end
return jids
end
-- Forget the provided queues. As in, remove them from the list of known queues
function QlessQueue.deregister(...)
redis.call('zrem', Qless.ns .. 'queues', unpack(arg))
end
-- Return information about a particular queue, or all queues
-- [
-- {
-- 'name': 'testing',
-- 'stalled': 2,
-- 'waiting': 5,
-- 'running': 5,
-- 'scheduled': 10,
-- 'depends': 5,
-- 'recurring': 0
-- }, {
-- ...
-- }
-- ]
function QlessQueue.counts(now, name)
if name then
local queue = Qless.queue(name)
local stalled = queue.locks.length(now)
-- Check for any scheduled jobs that need to be moved
queue:check_scheduled(now, queue.scheduled.length())
return {
name = name,
waiting = queue.work.length(),
stalled = stalled,
running = queue.locks.length() - stalled,
scheduled = queue.scheduled.length(),
depends = queue.depends.length(),
recurring = queue.recurring.length(),
paused = queue:paused()
}
else
local queues = redis.call('zrange', 'ql:queues', 0, -1)
local response = {}
for index, qname in ipairs(queues) do
table.insert(response, QlessQueue.counts(now, qname))
end
return response
end
end