Title here
Summary here
Rate limiting is an important mechanism for controlling resource utilization and maintaining quality of service. Julia elegantly supports rate limiting with tasks, channels, and timers.
using Dates
function main()
# First we'll look at basic rate limiting. Suppose
# we want to limit our handling of incoming requests.
# We'll serve these requests off a channel of the
# same name.
requests = Channel{Int}(5)
for i in 1:5
put!(requests, i)
end
close(requests)
# This limiter channel will receive a value
# every 200 milliseconds. This is the regulator in
# our rate limiting scheme.
limiter = Channel{DateTime}(Inf)
@async while true
put!(limiter, now())
sleep(0.2)
end
# By blocking on a receive from the limiter channel
# before serving each request, we limit ourselves to
# 1 request every 200 milliseconds.
for req in requests
take!(limiter)
println("request ", req, " ", now())
end
# We may want to allow short bursts of requests in
# our rate limiting scheme while preserving the
# overall rate limit. We can accomplish this by
# buffering our limiter channel. This burstyLimiter
# channel will allow bursts of up to 3 events.
burstyLimiter = Channel{DateTime}(3)
# Fill up the channel to represent allowed bursting.
for i in 1:3
put!(burstyLimiter, now())
end
# Every 200 milliseconds we'll try to add a new
# value to burstyLimiter, up to its limit of 3.
@async while true
put!(burstyLimiter, now())
sleep(0.2)
end
# Now simulate 5 more incoming requests. The first
# 3 of these will benefit from the burst capability
# of burstyLimiter.
burstyRequests = Channel{Int}(5)
for i in 1:5
put!(burstyRequests, i)
end
close(burstyRequests)
for req in burstyRequests
take!(burstyLimiter)
println("request ", req, " ", now())
end
end
main()
Running our program we see the first batch of requests handled once every ~200 milliseconds as desired.
$ julia rate-limiting.jl
request 1 2023-06-01T12:00:00.000
request 2 2023-06-01T12:00:00.200
request 3 2023-06-01T12:00:00.400
request 4 2023-06-01T12:00:00.600
request 5 2023-06-01T12:00:00.800
For the second batch of requests we serve the first 3 immediately because of the burstable rate limiting, then serve the remaining 2 with ~200ms delays each.
request 1 2023-06-01T12:00:01.000
request 2 2023-06-01T12:00:01.000
request 3 2023-06-01T12:00:01.000
request 4 2023-06-01T12:00:01.200
request 5 2023-06-01T12:00:01.400
In this Julia version:
Channel
instead of Go’s channels.@async
to create asynchronous tasks, similar to Go’s goroutines.put!
and take!
for channel operations instead of <-
.sleep
instead of time.Tick
for creating regular intervals.now()
from the Dates
module to get the current time.The overall structure and logic of the rate limiting example remains the same, showcasing how Julia can handle similar concurrency patterns to Go.