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// Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
#![deny(missing_docs)]
//! # Rate Limiter
//!
//! Provides a rate limiter written in Rust useful for IO operations that need to
//! be throttled.
//!
//! ## Behavior
//!
//! The rate limiter starts off as 'unblocked' with two token buckets configured
//! with the values passed in the `RateLimiter::new()` constructor.
//! All subsequent accounting is done independently for each token bucket based
//! on the `TokenType` used. If any of the buckets runs out of budget, the limiter
//! goes in the 'blocked' state. At this point an internal timer is set up which
//! will later 'wake up' the user in order to retry sending data. The 'wake up'
//! notification will be dispatched as an event on the FD provided by the `AsRawFD`
//! trait implementation.
//!
//! The contract is that the user shall also call the `event_handler()` method on
//! receipt of such an event.
//!
//! The token buckets are replenished every time a `consume()` is called, before
//! actually trying to consume the requested amount of tokens. The amount of tokens
//! replenished is automatically calculated to respect the `complete_refill_time`
//! configuration parameter provided by the user. The token buckets will never
//! replenish above their respective `size`.
//!
//! Each token bucket can start off with a `one_time_burst` initial extra capacity
//! on top of their `size`. This initial extra credit does not replenish and
//! can be used for an initial burst of data.
//!
//! The granularity for 'wake up' events when the rate limiter is blocked is
//! currently hardcoded to `10 milliseconds`.
//!
//! ## Limitations
//!
//! This rate limiter implementation relies on the *Linux kernel's timerfd* so its
//! usage is limited to Linux systems.
//!
//! Another particularity of this implementation is that it is not self-driving.
//! It is meant to be used in an external event loop and thus implements the `AsRawFd`
//! trait and provides an *event-handler* as part of its API. This *event-handler*
//! needs to be called by the user on every event on the rate limiter's `AsRawFd` FD.
use std::os::unix::io::{AsRawFd, RawFd};
use std::time::{Duration, Instant};
use std::{fmt, io};
use log::error;
use timerfd::{ClockId, SetTimeFlags, TimerFd, TimerState};
#[derive(Debug)]
/// Describes the errors that may occur while handling rate limiter events.
pub enum Error {
/// The event handler was called spuriously.
SpuriousRateLimiterEvent(&'static str),
}
// Interval at which the refill timer will run when limiter is at capacity.
const REFILL_TIMER_INTERVAL_MS: u64 = 10;
const TIMER_REFILL_STATE: TimerState =
TimerState::Oneshot(Duration::from_millis(REFILL_TIMER_INTERVAL_MS));
const NANOSEC_IN_ONE_MILLISEC: u64 = 1_000_000;
// Euclid's two-thousand-year-old algorithm for finding the greatest common divisor.
fn gcd(x: u64, y: u64) -> u64 {
let mut x = x;
let mut y = y;
while y != 0 {
let t = y;
y = x % y;
x = t;
}
x
}
/// Enum describing the outcomes of a `reduce()` call on a `TokenBucket`.
#[derive(Clone, Debug, PartialEq)]
pub enum BucketReduction {
/// No enough tokens
Failure,
/// Part of the available tokens have been consumed.
Success,
/// A number of tokens `inner` times larger than the bucket size have been consumed.
OverConsumption(f64),
}
/// TokenBucket provides a lower level interface to rate limiting with a
/// configurable capacity, refill-rate and initial burst.
#[derive(Clone, Debug, PartialEq)]
pub struct TokenBucket {
// Bucket defining traits.
size: u64,
// Initial burst size.
initial_one_time_burst: u64,
// Complete refill time in milliseconds.
refill_time: u64,
// Internal state descriptors.
// Number of free initial tokens, that can be consumed at no cost.
one_time_burst: u64,
// Current token budget.
budget: u64,
// Last time this token bucket saw activity.
last_update: Instant,
// Fields used for pre-processing optimizations.
processed_capacity: u64,
processed_refill_time: u64,
}
impl TokenBucket {
/// Creates a `TokenBucket` wrapped in an `Option`.
///
/// TokenBucket created is of `size` total capacity and takes `complete_refill_time_ms`
/// milliseconds to go from zero tokens to total capacity. The `one_time_burst` is initial
/// extra credit on top of total capacity, that does not replenish and which can be used
/// for an initial burst of data.
///
/// If the `size` or the `complete refill time` are zero, then `None` is returned.
pub fn new(size: u64, one_time_burst: u64, complete_refill_time_ms: u64) -> Self {
// If either token bucket capacity or refill time is 0, disable limiting.
debug_assert!(size != 0 && complete_refill_time_ms != 0);
// Formula for computing current refill amount:
// refill_token_count = (delta_time * size) / (complete_refill_time_ms * 1_000_000)
// In order to avoid overflows, simplify the fractions by computing greatest common divisor.
let complete_refill_time_ns = complete_refill_time_ms * NANOSEC_IN_ONE_MILLISEC;
// Get the greatest common factor between `size` and `complete_refill_time_ns`.
let common_factor = gcd(size, complete_refill_time_ns);
// The division will be exact since `common_factor` is a factor of `size`.
let processed_capacity: u64 = size / common_factor;
// The division will be exact since `common_factor` is a factor of `complete_refill_time_ns`.
let processed_refill_time: u64 = complete_refill_time_ns / common_factor;
TokenBucket {
size,
one_time_burst,
initial_one_time_burst: one_time_burst,
refill_time: complete_refill_time_ms,
// Start off full.
budget: size,
// Last updated is now.
last_update: Instant::now(),
processed_capacity,
processed_refill_time,
}
}
// Replenishes token bucket based on elapsed time. Should only be called internally by `Self`.
fn auto_replenish(&mut self) {
// Compute time passed since last refill/update.
let time_delta = self.last_update.elapsed().as_nanos() as u64;
self.last_update = Instant::now();
// At each 'time_delta' nanoseconds the bucket should refill with:
// refill_amount = (time_delta * size) / (complete_refill_time_ms * 1_000_000)
// `processed_capacity` and `processed_refill_time` are the result of simplifying above
// fraction formula with their greatest-common-factor.
let tokens = (time_delta * self.processed_capacity) / self.processed_refill_time;
self.budget = std::cmp::min(self.budget + tokens, self.size);
}
/// Attempts to consume `tokens` from the bucket and returns whether the action succeeded.
pub fn reduce(&mut self, mut tokens: u64) -> BucketReduction {
// First things first: consume the one-time-burst budget.
if self.one_time_burst > 0 {
// We still have burst budget for *all* tokens requests.
if self.one_time_burst >= tokens {
self.one_time_burst -= tokens;
self.last_update = Instant::now();
// No need to continue to the refill process, we still have burst budget to consume from.
return BucketReduction::Success;
} else {
// We still have burst budget for *some* of the tokens requests.
// The tokens left unfulfilled will be consumed from current `self.budget`.
tokens -= self.one_time_burst;
self.one_time_burst = 0;
}
}
if tokens > self.budget {
// Hit the bucket bottom, let's auto-replenish and try again.
self.auto_replenish();
// This operation requests a bandwidth higher than the bucket size
if tokens > self.size {
error!(
"Consumed {} tokens from bucket of size {}",
tokens, self.size
);
// Empty the bucket and report an overconsumption of
// (remaining tokens / size) times larger than the bucket size
tokens -= self.budget;
self.budget = 0;
return BucketReduction::OverConsumption(tokens as f64 / self.size as f64);
}
if tokens > self.budget {
// Still not enough tokens, consume() fails, return false.
return BucketReduction::Failure;
}
}
self.budget -= tokens;
BucketReduction::Success
}
/// "Manually" adds tokens to bucket.
pub fn force_replenish(&mut self, tokens: u64) {
// This means we are still during the burst interval.
// Of course there is a very small chance that the last reduce() also used up burst
// budget which should now be replenished, but for performance and code-complexity
// reasons we're just gonna let that slide since it's practically inconsequential.
if self.one_time_burst > 0 {
self.one_time_burst += tokens;
return;
}
self.budget = std::cmp::min(self.budget + tokens, self.size);
}
/// Returns the capacity of the token bucket.
pub fn capacity(&self) -> u64 {
self.size
}
/// Returns the remaining one time burst budget.
pub fn one_time_burst(&self) -> u64 {
self.one_time_burst
}
/// Returns the time in milliseconds required to to completely fill the bucket.
pub fn refill_time_ms(&self) -> u64 {
self.refill_time
}
/// Returns the current budget (one time burst allowance notwithstanding).
pub fn budget(&self) -> u64 {
self.budget
}
/// Returns the initially configured one time burst budget.
pub fn initial_one_time_burst(&self) -> u64 {
self.initial_one_time_burst
}
}
/// Enum that describes the type of token used.
pub enum TokenType {
/// Token type used for bandwidth limiting.
Bytes,
/// Token type used for operations/second limiting.
Ops,
}
/// Enum that describes the type of token bucket update.
#[derive(Clone, Debug)]
pub enum BucketUpdate {
/// No Update - same as before.
None,
/// Rate Limiting is disabled on this bucket.
Disabled,
/// Rate Limiting enabled with updated bucket.
Update(TokenBucket),
}
/// Rate Limiter that works on both bandwidth and ops/s limiting.
///
/// Bandwidth (bytes/s) and ops/s limiting can be used at the same time or individually.
///
/// Implementation uses a single timer through TimerFd to refresh either or
/// both token buckets.
///
/// Its internal buckets are 'passively' replenished as they're being used (as
/// part of `consume()` operations).
/// A timer is enabled and used to 'actively' replenish the token buckets when
/// limiting is in effect and `consume()` operations are disabled.
///
/// RateLimiters will generate events on the FDs provided by their `AsRawFd` trait
/// implementation. These events are meant to be consumed by the user of this struct.
/// On each such event, the user must call the `event_handler()` method.
pub struct RateLimiter {
/// Bandwidth limit in bytes/s
bandwidth: Option<TokenBucket>,
/// Operate limit in ops/s
ops: Option<TokenBucket>,
/// Timer handle
timer_fd: TimerFd,
/// Internal flag that quickly determines timer state.
timer_active: bool,
}
impl PartialEq for RateLimiter {
fn eq(&self, other: &RateLimiter) -> bool {
self.bandwidth == other.bandwidth && self.ops == other.ops
}
}
impl fmt::Debug for RateLimiter {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
write!(
f,
"RateLimiter {{ bandwidth: {:?}, ops: {:?} }}",
self.bandwidth, self.ops
)
}
}
impl RateLimiter {
/// This function creates a `TokenBucket` wrapped in an `Option` with a given total capacity,
/// one time burst, and complete refill time (in miliseconds). If the total capacity or the
/// complete refill time are zero, then `None` is returned.
pub fn make_bucket(
total_capacity: u64,
one_time_burst: u64,
complete_refill_time_ms: u64,
) -> Option<TokenBucket> {
// If either token bucket capacity or refill time is 0, disable limiting.
if total_capacity != 0 && complete_refill_time_ms != 0 {
Some(TokenBucket::new(
total_capacity,
one_time_burst,
complete_refill_time_ms,
))
} else {
None
}
}
/// Creates a new Rate Limiter that can limit on both bytes/s and ops/s.
///
/// # Arguments
///
/// * `bytes_total_capacity` - the total capacity of the `TokenType::Bytes` token bucket.
/// * `bytes_one_time_burst` - initial extra credit on top of `bytes_total_capacity`,
/// that does not replenish and which can be used for an initial burst of data.
/// * `bytes_complete_refill_time_ms` - number of milliseconds for the `TokenType::Bytes`
/// token bucket to go from zero Bytes to `bytes_total_capacity` Bytes.
/// * `ops_total_capacity` - the total capacity of the `TokenType::Ops` token bucket.
/// * `ops_one_time_burst` - initial extra credit on top of `ops_total_capacity`,
/// that does not replenish and which can be used for an initial burst of data.
/// * `ops_complete_refill_time_ms` - number of milliseconds for the `TokenType::Ops` token
/// bucket to go from zero Ops to `ops_total_capacity` Ops.
///
/// If either bytes/ops *size* or *refill_time* are **zero**, the limiter
/// is **disabled** for that respective token type.
///
/// # Errors
///
/// If the timerfd creation fails, an error is returned.
pub fn new(
bytes_total_capacity: u64,
bytes_one_time_burst: u64,
bytes_complete_refill_time_ms: u64,
ops_total_capacity: u64,
ops_one_time_burst: u64,
ops_complete_refill_time_ms: u64,
) -> io::Result<Self> {
let bytes_token_bucket = Self::make_bucket(
bytes_total_capacity,
bytes_one_time_burst,
bytes_complete_refill_time_ms,
);
let ops_token_bucket = Self::make_bucket(
ops_total_capacity,
ops_one_time_burst,
ops_complete_refill_time_ms,
);
// We'll need a timer_fd, even if our current config effectively disables rate limiting,
// because `Self::update_buckets()` might re-enable it later, and we might be
// seccomp-blocked from creating the timer_fd at that time.
let timer_fd = TimerFd::new_custom(ClockId::Monotonic, true, true)?;
Ok(RateLimiter {
bandwidth: bytes_token_bucket,
ops: ops_token_bucket,
timer_fd,
timer_active: false,
})
}
// Arm the timer of the rate limiter with the provided `TimerState`.
fn activate_timer(&mut self, timer_state: TimerState) {
// Register the timer; don't care about its previous state
self.timer_fd.set_state(timer_state, SetTimeFlags::Default);
self.timer_active = true;
}
/// Attempts to consume tokens and returns whether that is possible.
///
/// If rate limiting is disabled on provided `token_type`, this function will always succeed.
pub fn consume(&mut self, tokens: u64, token_type: TokenType) -> bool {
// If the timer is active, we can't consume tokens from any bucket and the function fails.
if self.timer_active {
return false;
}
// Identify the required token bucket.
let token_bucket = match token_type {
TokenType::Bytes => self.bandwidth.as_mut(),
TokenType::Ops => self.ops.as_mut(),
};
// Try to consume from the token bucket.
if let Some(bucket) = token_bucket {
let refill_time = bucket.refill_time_ms();
match bucket.reduce(tokens) {
// When we report budget is over, there will be no further calls here,
// register a timer to replenish the bucket and resume processing;
// make sure there is only one running timer for this limiter.
BucketReduction::Failure => {
if !self.timer_active {
self.activate_timer(TIMER_REFILL_STATE);
}
false
}
// The operation succeeded and further calls can be made.
BucketReduction::Success => true,
// The operation succeeded as the tokens have been consumed
// but the timer still needs to be armed.
BucketReduction::OverConsumption(ratio) => {
// The operation "borrowed" a number of tokens `ratio` times
// greater than the size of the bucket, and since it takes
// `refill_time` milliseconds to fill an empty bucket, in
// order to enforce the bandwidth limit we need to prevent
// further calls to the rate limiter for
// `ratio * refill_time` milliseconds.
self.activate_timer(TimerState::Oneshot(Duration::from_millis(
(ratio * refill_time as f64) as u64,
)));
true
}
}
} else {
// If bucket is not present rate limiting is disabled on token type,
// consume() will always succeed.
true
}
}
/// Adds tokens of `token_type` to their respective bucket.
///
/// Can be used to *manually* add tokens to a bucket. Useful for reverting a
/// `consume()` if needed.
pub fn manual_replenish(&mut self, tokens: u64, token_type: TokenType) {
// Identify the required token bucket.
let token_bucket = match token_type {
TokenType::Bytes => self.bandwidth.as_mut(),
TokenType::Ops => self.ops.as_mut(),
};
// Add tokens to the token bucket.
if let Some(bucket) = token_bucket {
bucket.force_replenish(tokens);
}
}
/// Returns whether this rate limiter is blocked.
///
/// The limiter 'blocks' when a `consume()` operation fails because there was not enough
/// budget for it.
/// An event will be generated on the exported FD when the limiter 'unblocks'.
pub fn is_blocked(&self) -> bool {
self.timer_active
}
/// This function needs to be called every time there is an event on the
/// FD provided by this object's `AsRawFd` trait implementation.
///
/// # Errors
///
/// If the rate limiter is disabled or is not blocked, an error is returned.
pub fn event_handler(&mut self) -> Result<(), Error> {
match self.timer_fd.read() {
0 => Err(Error::SpuriousRateLimiterEvent(
"Rate limiter event handler called without a present timer",
)),
_ => {
self.timer_active = false;
Ok(())
}
}
}
/// Updates the parameters of the token buckets associated with this RateLimiter.
// TODO: Please note that, right now, the buckets become full after being updated.
pub fn update_buckets(&mut self, bytes: BucketUpdate, ops: BucketUpdate) {
match bytes {
BucketUpdate::Disabled => self.bandwidth = None,
BucketUpdate::Update(tb) => self.bandwidth = Some(tb),
BucketUpdate::None => (),
};
match ops {
BucketUpdate::Disabled => self.ops = None,
BucketUpdate::Update(tb) => self.ops = Some(tb),
BucketUpdate::None => (),
};
}
/// Returns an immutable view of the inner bandwidth token bucket.
pub fn bandwidth(&self) -> Option<&TokenBucket> {
self.bandwidth.as_ref()
}
/// Returns an immutable view of the inner ops token bucket.
pub fn ops(&self) -> Option<&TokenBucket> {
self.ops.as_ref()
}
}
impl AsRawFd for RateLimiter {
/// Provides a FD which needs to be monitored for POLLIN events.
///
/// This object's `event_handler()` method must be called on such events.
///
/// Will return a negative value if rate limiting is disabled on both
/// token types.
fn as_raw_fd(&self) -> RawFd {
self.timer_fd.as_raw_fd()
}
}
impl Default for RateLimiter {
/// Default RateLimiter is a no-op limiter with infinite budget.
fn default() -> Self {
// Safe to unwrap since this will not attempt to create timer_fd.
RateLimiter::new(0, 0, 0, 0, 0, 0).expect("Failed to build default RateLimiter")
}
}
#[cfg(test)]
mod tests {
use super::*;
use std::thread;
use std::time::Duration;
const TEST_REFILL_TIMER_INTERVAL_MS: u64 = 100;
impl TokenBucket {
// Resets the token bucket: budget set to max capacity and last-updated set to now.
fn reset(&mut self) {
self.budget = self.size;
self.last_update = Instant::now();
}
fn get_last_update(&self) -> &Instant {
&self.last_update
}
fn get_processed_capacity(&self) -> u64 {
self.processed_capacity
}
fn get_processed_refill_time(&self) -> u64 {
self.processed_refill_time
}
// After a restore, we cannot be certain that the last_update field has the same value.
pub fn partial_eq(&self, other: &TokenBucket) -> bool {
(other.capacity() == self.capacity())
&& (other.one_time_burst() == self.one_time_burst())
&& (other.refill_time_ms() == self.refill_time_ms())
&& (other.budget() == self.budget())
}
}
impl RateLimiter {
fn get_token_bucket(&self, token_type: TokenType) -> Option<&TokenBucket> {
match token_type {
TokenType::Bytes => self.bandwidth.as_ref(),
TokenType::Ops => self.ops.as_ref(),
}
}
}
#[test]
fn test_token_bucket_create() {
let before = Instant::now();
let tb = TokenBucket::new(1000, 0, 1000);
assert_eq!(tb.capacity(), 1000);
assert_eq!(tb.budget(), 1000);
assert_eq!(tb.initial_one_time_burst(), 0);
assert!(*tb.get_last_update() >= before);
let after = Instant::now();
assert!(*tb.get_last_update() <= after);
assert_eq!(tb.get_processed_capacity(), 1);
assert_eq!(tb.get_processed_refill_time(), 1_000_000);
}
#[test]
fn test_token_bucket_preprocess() {
let tb = TokenBucket::new(1000, 0, 1000);
assert_eq!(tb.get_processed_capacity(), 1);
assert_eq!(tb.get_processed_refill_time(), NANOSEC_IN_ONE_MILLISEC);
let thousand = 1000;
let tb = TokenBucket::new(3 * 7 * 11 * 19 * thousand, 0, 7 * 11 * 13 * 17);
assert_eq!(tb.get_processed_capacity(), 3 * 19);
assert_eq!(
tb.get_processed_refill_time(),
13 * 17 * (NANOSEC_IN_ONE_MILLISEC / thousand)
);
}
#[test]
fn test_token_bucket_reduce() {
// token bucket with capacity 1000 and refill time of 1000 milliseconds
// allowing rate of 1 token/ms.
let capacity = 1000;
let refill_ms = 1000;
let mut tb = TokenBucket::new(capacity, 0, refill_ms as u64);
assert_eq!(tb.reduce(123), BucketReduction::Success);
assert_eq!(tb.budget(), capacity - 123);
assert_eq!(tb.reduce(capacity), BucketReduction::Failure);
// Since the CI machine might be slow, we should sleep less milliseconds here than desired 123 ms to avoid errors caused by CI machines.
thread::sleep(Duration::from_millis(80));
assert_eq!(tb.reduce(1), BucketReduction::Success);
assert_eq!(tb.reduce(100), BucketReduction::Success);
assert_eq!(tb.reduce(capacity), BucketReduction::Failure);
// token bucket with capacity 1000 and refill time of 1000 milliseconds
let mut tb = TokenBucket::new(1000, 1100, 1000);
// safely assuming the thread can run these 3 commands in less than 500ms
assert_eq!(tb.reduce(1000), BucketReduction::Success);
assert_eq!(tb.one_time_burst(), 100);
assert_eq!(tb.reduce(500), BucketReduction::Success);
assert_eq!(tb.one_time_burst(), 0);
assert_eq!(tb.reduce(500), BucketReduction::Success);
assert_eq!(tb.reduce(500), BucketReduction::Failure);
thread::sleep(Duration::from_millis(500));
assert_eq!(tb.reduce(500), BucketReduction::Success);
thread::sleep(Duration::from_millis(1000));
assert_eq!(tb.reduce(2500), BucketReduction::OverConsumption(1.5));
let before = Instant::now();
tb.reset();
assert_eq!(tb.capacity(), 1000);
assert_eq!(tb.budget(), 1000);
assert!(*tb.get_last_update() >= before);
let after = Instant::now();
assert!(*tb.get_last_update() <= after);
}
#[test]
fn test_rate_limiter_default() {
let mut l = RateLimiter::default();
// limiter should not be blocked
assert!(!l.is_blocked());
// limiter should be disabled so consume(whatever) should work
assert!(l.consume(u64::max_value(), TokenType::Ops));
assert!(l.consume(u64::max_value(), TokenType::Bytes));
// calling the handler without there having been an event should error
assert!(l.event_handler().is_err());
assert_eq!(
format!("{:?}", l.event_handler().err().unwrap()),
"SpuriousRateLimiterEvent(\
\"Rate limiter event handler called without a present timer\")"
);
}
#[test]
fn test_rate_limiter_new() {
let l = RateLimiter::new(1000, 1001, 1002, 1003, 1004, 1005).unwrap();
let bw = l.bandwidth.unwrap();
assert_eq!(bw.capacity(), 1000);
assert_eq!(bw.one_time_burst(), 1001);
assert_eq!(bw.initial_one_time_burst(), 1001);
assert_eq!(bw.refill_time_ms(), 1002);
assert_eq!(bw.budget(), 1000);
let ops = l.ops.unwrap();
assert_eq!(ops.capacity(), 1003);
assert_eq!(ops.one_time_burst(), 1004);
assert_eq!(ops.initial_one_time_burst(), 1004);
assert_eq!(ops.refill_time_ms(), 1005);
assert_eq!(ops.budget(), 1003);
}
#[test]
fn test_rate_limiter_manual_replenish() {
// rate limiter with limit of 1000 bytes/s and 1000 ops/s
let mut l = RateLimiter::new(1000, 0, 1000, 1000, 0, 1000).unwrap();
// consume 123 bytes
assert!(l.consume(123, TokenType::Bytes));
l.manual_replenish(23, TokenType::Bytes);
{
let bytes_tb = l.get_token_bucket(TokenType::Bytes).unwrap();
assert_eq!(bytes_tb.budget(), 900);
}
// consume 123 ops
assert!(l.consume(123, TokenType::Ops));
l.manual_replenish(23, TokenType::Ops);
{
let bytes_tb = l.get_token_bucket(TokenType::Ops).unwrap();
assert_eq!(bytes_tb.budget(), 900);
}
}
#[test]
fn test_rate_limiter_bandwidth() {
// rate limiter with limit of 1000 bytes/s
let mut l = RateLimiter::new(1000, 0, 1000, 0, 0, 0).unwrap();
// limiter should not be blocked
assert!(!l.is_blocked());
// raw FD for this disabled should be valid
assert!(l.as_raw_fd() > 0);
// ops/s limiter should be disabled so consume(whatever) should work
assert!(l.consume(u64::max_value(), TokenType::Ops));
// do full 1000 bytes
assert!(l.consume(1000, TokenType::Bytes));
// try and fail on another 100
assert!(!l.consume(100, TokenType::Bytes));
// since consume failed, limiter should be blocked now
assert!(l.is_blocked());
// wait half the timer period
thread::sleep(Duration::from_millis(TEST_REFILL_TIMER_INTERVAL_MS / 2));
// limiter should still be blocked
assert!(l.is_blocked());
// wait the other half of the timer period
thread::sleep(Duration::from_millis(TEST_REFILL_TIMER_INTERVAL_MS / 2));
// the timer_fd should have an event on it by now
assert!(l.event_handler().is_ok());
// limiter should now be unblocked
assert!(!l.is_blocked());
// try and succeed on another 100 bytes this time
assert!(l.consume(100, TokenType::Bytes));
}
#[test]
fn test_rate_limiter_ops() {
// rate limiter with limit of 1000 ops/s
let mut l = RateLimiter::new(0, 0, 0, 1000, 0, 1000).unwrap();
// limiter should not be blocked
assert!(!l.is_blocked());
// raw FD for this disabled should be valid
assert!(l.as_raw_fd() > 0);
// bytes/s limiter should be disabled so consume(whatever) should work
assert!(l.consume(u64::max_value(), TokenType::Bytes));
// do full 1000 ops
assert!(l.consume(1000, TokenType::Ops));
// try and fail on another 100
assert!(!l.consume(100, TokenType::Ops));
// since consume failed, limiter should be blocked now
assert!(l.is_blocked());
// wait half the timer period
thread::sleep(Duration::from_millis(TEST_REFILL_TIMER_INTERVAL_MS / 2));
// limiter should still be blocked
assert!(l.is_blocked());
// wait the other half of the timer period
thread::sleep(Duration::from_millis(TEST_REFILL_TIMER_INTERVAL_MS / 2));
// the timer_fd should have an event on it by now
assert!(l.event_handler().is_ok());
// limiter should now be unblocked
assert!(!l.is_blocked());
// try and succeed on another 100 ops this time
assert!(l.consume(100, TokenType::Ops));
}
#[test]
fn test_rate_limiter_full() {
// rate limiter with limit of 1000 bytes/s and 1000 ops/s
let mut l = RateLimiter::new(1000, 0, 1000, 1000, 0, 1000).unwrap();
// limiter should not be blocked
assert!(!l.is_blocked());
// raw FD for this disabled should be valid
assert!(l.as_raw_fd() > 0);
// do full 1000 bytes
assert!(l.consume(1000, TokenType::Ops));
// do full 1000 bytes
assert!(l.consume(1000, TokenType::Bytes));
// try and fail on another 100 ops
assert!(!l.consume(100, TokenType::Ops));
// try and fail on another 100 bytes
assert!(!l.consume(100, TokenType::Bytes));
// since consume failed, limiter should be blocked now
assert!(l.is_blocked());
// wait half the timer period
thread::sleep(Duration::from_millis(TEST_REFILL_TIMER_INTERVAL_MS / 2));
// limiter should still be blocked
assert!(l.is_blocked());
// wait the other half of the timer period
thread::sleep(Duration::from_millis(TEST_REFILL_TIMER_INTERVAL_MS / 2));
// the timer_fd should have an event on it by now
assert!(l.event_handler().is_ok());
// limiter should now be unblocked
assert!(!l.is_blocked());
// try and succeed on another 100 ops this time
assert!(l.consume(100, TokenType::Ops));
// try and succeed on another 100 bytes this time
assert!(l.consume(100, TokenType::Bytes));
}
#[test]
fn test_rate_limiter_overconsumption() {
// initialize the rate limiter
let mut l = RateLimiter::new(1000, 0, 1000, 1000, 0, 1000).unwrap();
// try to consume 2.5x the bucket size
// we are "borrowing" 1.5x the bucket size in tokens since
// the bucket is full
assert!(l.consume(2500, TokenType::Bytes));
// check that even after a whole second passes, the rate limiter
// is still blocked
thread::sleep(Duration::from_millis(1000));
assert!(l.event_handler().is_err());
assert!(l.is_blocked());
// after 1.5x the replenish time has passed, the rate limiter
// is available again
thread::sleep(Duration::from_millis(500));
assert!(l.event_handler().is_ok());
assert!(!l.is_blocked());
// reset the rate limiter
let mut l = RateLimiter::new(1000, 0, 1000, 1000, 0, 1000).unwrap();
// try to consume 1.5x the bucket size
// we are "borrowing" 1.5x the bucket size in tokens since
// the bucket is full, should arm the timer to 0.5x replenish
// time, which is 500 ms
assert!(l.consume(1500, TokenType::Bytes));
// check that after more than the minimum refill time,
// the rate limiter is still blocked
thread::sleep(Duration::from_millis(200));
assert!(l.event_handler().is_err());
assert!(l.is_blocked());
// try to consume some tokens, which should fail as the timer
// is still active
assert!(!l.consume(100, TokenType::Bytes));
assert!(l.event_handler().is_err());
assert!(l.is_blocked());
// check that after the minimum refill time, the timer was not
// overwritten and the rate limiter is still blocked from the
// borrowing we performed earlier
thread::sleep(Duration::from_millis(90));
assert!(l.event_handler().is_err());
assert!(l.is_blocked());
assert!(!l.consume(100, TokenType::Bytes));
// after waiting out the full duration, rate limiter should be
// availale again
thread::sleep(Duration::from_millis(210));
assert!(l.event_handler().is_ok());
assert!(!l.is_blocked());
assert!(l.consume(100, TokenType::Bytes));
}
#[test]
fn test_update_buckets() {
let mut x = RateLimiter::new(1000, 2000, 1000, 10, 20, 1000).unwrap();
let initial_bw = x.bandwidth.clone();
let initial_ops = x.ops.clone();
x.update_buckets(BucketUpdate::None, BucketUpdate::None);
assert_eq!(x.bandwidth, initial_bw);
assert_eq!(x.ops, initial_ops);
let new_bw = RateLimiter::make_bucket(123, 0, 57).unwrap();
let new_ops = RateLimiter::make_bucket(321, 12346, 89).unwrap();
x.update_buckets(
BucketUpdate::Update(new_bw.clone()),
BucketUpdate::Update(new_ops.clone()),
);
// We have manually adjust the last_update field, because it changes when update_buckets()
// constructs new buckets (and thus gets a different value for last_update). We do this so
// it makes sense to test the following assertions.
x.bandwidth.as_mut().unwrap().last_update = new_bw.last_update;
x.ops.as_mut().unwrap().last_update = new_ops.last_update;
assert_eq!(x.bandwidth, Some(new_bw));
assert_eq!(x.ops, Some(new_ops));
x.update_buckets(BucketUpdate::Disabled, BucketUpdate::Disabled);
assert_eq!(x.bandwidth, None);
assert_eq!(x.ops, None);
}
#[test]
fn test_rate_limiter_debug() {
let l = RateLimiter::new(1, 2, 3, 4, 5, 6).unwrap();
assert_eq!(
format!("{:?}", l),
format!(
"RateLimiter {{ bandwidth: {:?}, ops: {:?} }}",
l.bandwidth(),
l.ops()
),
);
}
}