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kumomta/docs/reference/kumo/make_queue_config.md
T
Wez Furlong e8e0f208ee queue: add strategy option choose between skiplist and timerwheel
Previously we were using only our timeq module, which is built on top of
hashed hierarchical timer wheels.

Timer wheels have O(1) insertion and removal which are excellent
properties for larger delayed queues.

However, they do not know how to answer the question "when is the
next item due", but only "what is due in the next tick".

The underlying timer wheel implementation assumes a 1ms granularity
which is a little bit at-odds with our pragmatic view of the scheduled
queue, which is "if it's in there, precision timing isn't important, and
it's generally fine to consider once per minute", requiring that we
either aggressively scheduled a maintainer task to wake up every 1ms per
scheduled queue (untenable!) or have it wake up no more than once per
second but ideally closer to once per minute to then tick however
milliseconds are necessary to advance the wheel to the current slot.

For small numbers of scheduled queues with sufficiently large retry
intervals this hasn't bubbled up as an issue so far, but it bothers
me that it isn't as efficient as it could be because we have to wake up
reasonably frequently to keep things ticking over, and that introduces
higher continual CPU utilization. It's small, but I worry about
the aggregate cost spread over very large numbers of scheduled queues.

What I really want here is a a timer wheel that I can tick with
arbitrary granularity and with that in mind I took a look at adapting
the handful of existing implementations and found that we're already
using the cleanest implementation, and it would take some effort that I
didn't really want to spend right now.

I opted for a reasonably simple alternative option, which is to adopt a
skiplist for the queue. This has O(log n) insertion to maintain ordering
with O(1) removal and can answer "when is the next item due".  What this
means is that we pay a slightly higher insertion cost one-time in
exchange for being able to put the maintainer for the queue asleep until
we need it, and not have to keep waking up between times, which should
scale better.

What this means in practice is that we now wake up the maintainer either
when the next message is due, or once per minute to re-evaluate the
queue configuration hook, so we're slightly better off, but totally
where I'd like to be.

I've introduced a reap_interval (default 10 minutes) and a
refresh_interval (default 1 minute) as parameters in get_queue_config so
that you can increase that 1m interval for reloading.

What I'd like to do in a follow up commit is introduce a way to define
the refresh policy. For example, it would be neat to say "watch my
policy directory and refresh when it changes", which would make things
the most efficient for many users.  For those that are loading their
config from a remote datasource, we'd need to consider some other
mechanism for this; maybe some kind of long-poll or pubsub, but will
obviously still be able to support the current interval based polling.

Now, with all of that said: I didn't want to switch the product
default over and hope for best, so what I did was add a strategy
option to allow this to be adopted on a per-queue basis.

Since I was in here adding some options, I also added an option
that allows explicitly setting the interval used for timerwheel
ticks, so you now have a lot more opportunities for tuning this
stuff.
2024-08-13 16:46:34 -07:00

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Markdown

# `kumo.make_queue_config { PARAMS }`
Constructs a configuration object that specifies how a *queue* will behave.
This function should be called from the
[get_queue_config](../events/get_queue_config.md) event handler to provide the
configuration for the requested queue.
The following keys are possible:
## egress_pool
The name of the egress pool which should be used as the source of
this traffic.
If you do not specify an egress pool, a default pool named `unspecified`
will be used. That pool contains a single source named `unspecified` that
has no specific source settings: it will just make a connection using
whichever IP the kernel chooses.
See [kumo.make_egress_pool()](make_egress_pool.md).
## max_age
Limits how long a message can remain in the queue.
The default value is `"7 days"`.
```lua
kumo.on('get_queue_config', function(domain, tenant, campaign, routing_domain)
return kumo.make_queue_config {
-- Age out messages after being in the queue for 20 minutes
max_age = '20 minutes',
}
end)
```
## max_message_rate
{{since('2024.06.10-84e84b89')}}
Optional string.
Specifies the maximum permitted rate at which messages can move from this
scheduled queue and into the ready queue for the appropriate egress source.
The value is of the form `quantity/period`
where quantity is a number and period can be a measure of time.
Examples of throttles:
```
"10/s" -- 10 per second
"10/sec" -- 10 per second
"10/second" -- 10 per second
"50/m" -- 50 per minute
"50/min" -- 50 per minute
"50/minute" -- 50 per minute
"1,000/hr" -- 1000 per hour
"1_000/h" -- 1000 per hour
"1000/hour" -- 1000 per hour
"10_000/d" -- 10,000 per day
"10,000/day" -- 10,000 per day
```
Throttles are implemented using a Generic Cell Rate Algorithm.
If the throttle is exceeded the message will be re-inserted into the scheduled
queue with a delay based on the acceptance rate of the throttle.
This option is distinct from [the egress path
max_message_rate](make_egress_path.md#max_message_rate) option in that this one
applies to a specific scheduled queue, whilst the egress path option applies to
the ready queue for a specific egress path, through which multiple scheduled
queues send out to the internet.
If you have configured `max_message_rate` both here and in an egress path,
the effective maximum message rate will be the lesser of the two values; both
constraints are applied independently from each other at different stages
of processing.
## max_retry_interval
Messages are retried using an exponential backoff as described under
*retry_interval* below. *max_retry_interval* sets an upper bound on the amount
of time between delivery attempts.
The default is that there is no upper limit.
The value is expressed in seconds.
```lua
kumo.on('get_queue_config', function(domain, tenant, campaign, routing_domain)
return kumo.make_queue_config {
-- Retry at most every hour
max_retry_interval = '1 hour',
}
end)
```
## protocol
Configure the delivery protocol. The default is to use SMTP to the
domain associated with the queue, but you can also configure delivering
to a local [maildir](http://www.courier-mta.org/maildir.html), or using
custom lua code to process a message
### Example of smart-hosting with the SMTP protocol
{{since('2023.08.22-4d895015')}}
Rather than relying on MX resolution, you can provide an explicit list
of MX host names or IP addresses to which the queue should deliver.
The addresses will be tried in the order specified.
```lua
kumo.on('get_queue_config', function(domain, tenant, campaign, routing_domain)
if domain == 'smarthost.example.com' then
-- Relay via some other internal infrastructure.
-- Enclose IP (or IPv6) addresses in `[]`.
-- Otherwise the name will be resolved for A and AAAA records
return kumo.make_queue_config {
protocol = {
smtp = {
mx_list = {
'smart.host.local',
{ name = 'mx.example.com', addr = '10.0.0.1' },
},
},
},
}
end
-- Otherwise, just use the defaults
return kumo.make_queue_config {}
end)
```
### Example of using the Maildir protocol
```lua
kumo.on('get_queue_config', function(domain, tenant, campaign, routing_domain)
if domain == 'maildir.example.com' then
-- Store this domain into a maildir, rather than attempting
-- to deliver via SMTP
return kumo.make_queue_config {
protocol = {
maildir_path = '/var/tmp/kumo-maildir',
},
}
end
-- Otherwise, just use the defaults
return kumo.make_queue_config {}
end)
```
!!! note
Maildir support is present primarily for functional validation
rather than being present as a first class delivery mechanism.
Failures to write to the maildir will cause the message to be delayed and
retried approximately 1 minute later. The normal message retry schedule does
not apply.
### Using Lua as a delivery protocol
```lua
kumo.on('get_queue_config', function(domain, tenant, campaign, routing_domain)
if domain == 'webhook' then
-- Use the `make.webhook` event to handle delivery
-- of webhook log records
return kumo.make_queue_config {
protocol = {
custom_lua = {
-- this will cause an event called `make.webhook` to trigger.
-- You can pick any name for this event, so long as it doesn't
-- collide with a pre-defined event, and so long as you bind
-- to it with a kumo.on call
constructor = 'make.webhook',
},
},
}
end
return kumo.make_queue_config {}
end)
-- This event will be called each time we need to make a connection.
-- It needs to return a lua object with a `send` method
kumo.on('make.webhook', function(domain, tenant, campaign)
-- Create the connection object
local connection = {}
-- define a send method on the connection object.
-- The return value is the disposition string for a successful
-- delivery; that string will get logged in the resulting log record.
-- If the delivery failed, you can use `kumo.reject` to raise the
-- error with an appropriate 400 or 500 code.
-- 400 codes will be retried later. 500 codes will log a permanent
-- failure and no further delivery attempts will be made for the message.
function connection:send(message)
print(message:get_data())
if failed then
kumo.reject(400, 'failed for some reason')
end
return 'OK'
end
return connection
end)
```
See [should_enqueue_log_record](../events/should_enqueue_log_record.md) for
a more complete example.
## retry_interval
Messages are retried using an exponential backoff. *retry_interval* sets the
base interval; if a message cannot be immediately delivered and encounters a
transient failure, then a (jittered) delay of *retry_interval* seconds will be
applied before trying again. If it transiently fails a second time,
*retry_interval* will be doubled and so on, doubling on each attempt.
The default is `"20 minutes"`.
```lua
kumo.on('get_queue_config', function(domain, tenant, campaign, routing_domain)
return kumo.make_queue_config {
retry_interval = '20 minutes',
}
end)
```
## reap_interval
{{since('dev')}}
Optional duration string. The default is `"10m"`. It controls how long the
queue should remain empty and idle before we reap it from the queue management
layer and free its associated resources and metrics.
## refresh_interval
{{since('dev')}}
Optional duration string. The default is `"1m"`. It controls how long the
queue should wait before refreshing the configuration for that queue by
triggering the [get_queue_config](../events/get_queue_config.md) event.
## strategy
{{since('dev')}}
Optional string to specify the scheduled queue strategy. There are two possible
values:
* `"TimerWheel"` - the default. The timer wheel has `O(1)` insertion and `O(1)`
pop costs, making it good for very large scheduled queues, but that comes in
exchange for a flat periodic tick overhead. As the number of scheduled queues
increases and/or the `retry_interval` decreases, so does the aggregate overhead
of maintaining timerwheel queues.
* `"SkipList"` - A skiplist has `O(log n)` insertion and `O(1)` pop costs,
making it a good general purpose queue, but becomes more expensive to insert
into as the size of the queue increases. That higher insertion cost is in
exchange for the overall maintenance being cheaper, as the queue can go to
sleep until the time of the next due item. The ongoing and aggregate
maintenance is therefore cheaper than a `TimerWheel` but the worst-case
scenario where the destination is not accepting mail and causing the
scheduled queue to grow is logarithmically more expensive as the queue
grows.
Which should you use? Whichever works best for your environment! Make sure that
you test normal healthy operation with a lot of queues as well as the worst
case scenario where those queues are full and egress is blocked.
If you have very short `retry_interval` set for the majority of your queues you
may wish to adopt `SkipList` for its lower idle CPU cost, or alternatively use
`TimerWheel` and find a `timerwheel_tick_interval` that works for your typical
number of queues.
!!! note
Changing the strategy for a given queue requires that the queue either be
aged out, or for kumod to be restarted, before it will take effect. This
restriction may be removed in a future release.
## timerwheel_tick_interval
{{since('dev')}}
When using the default `strategy = "TimerWheel"`, the timer wheel needs to
be ticked regularly in order to promote messages into the ready queue. The default
tick interval is computed as `retry_interval / 20` and clamped to be within the
range `>= 1s && <= 1m`.
If you have a short `retry_interval` and a lot of scheduled queues you may find
that your system is spending more time ticking over than is desirable, so you can
explicitly select the tick interval via this option.
The value is an optional string duration like `1m`.
If you have to set this, our recommendation is generally for this to be as long
as possible.
!!! note
The maintainer will also tick over whenever the
[refresh_interval](#refresh_interval) elapses, so there isn't a tangible
benefit to setting `timerwheel_tick_interval` larger than `refresh_interval`.