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//! TUID: Time-based Unique Identifiers.
//!
//! Time-ordered unique 128-bit identifiers.
//!
//! ## Feature flags
#![doc = document_features::document_features!()]
//!
#[derive(Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Hash)]
#[cfg_attr(feature = "serde", derive(serde::Deserialize, serde::Serialize))]
pub struct Tuid {
/// Approximate nanoseconds since epoch.
time_ns: u64,
/// Initialized to something random on each thread,
/// then incremented for each new [`Tuid`] being allocated.
inc: u64,
}
#[cfg(feature = "arrow")]
pub mod arrow;
pub mod external {
#[cfg(feature = "arrow")]
pub use re_types_core;
}
impl std::fmt::Display for Tuid {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(f, "{:032X}", self.as_u128())
}
}
impl std::fmt::Debug for Tuid {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(f, "{:032X}", self.as_u128())
}
}
impl Tuid {
/// All zeroes.
pub const ZERO: Self = Self { time_ns: 0, inc: 0 };
/// All ones.
pub const MAX: Self = Self {
time_ns: u64::MAX,
inc: u64::MAX,
};
#[inline]
pub fn random() -> Self {
use std::cell::RefCell;
thread_local! {
pub static LATEST_TUID: RefCell<Tuid> = RefCell::new(Tuid{
time_ns: monotonic_nanos_since_epoch(),
// Leave top bit at zero so we have plenty of room to grow.
inc: random_u64() & !(1_u64 << 63),
});
}
LATEST_TUID.with(|latest_tuid| {
let mut latest = latest_tuid.borrow_mut();
let new = Tuid {
time_ns: monotonic_nanos_since_epoch(),
inc: latest.inc + 1,
};
debug_assert!(
latest.time_ns <= new.time_ns,
"Time should be monotonically increasing"
);
*latest = new;
new
})
}
#[inline]
pub fn as_u128(&self) -> u128 {
((self.time_ns as u128) << 64) | (self.inc as u128)
}
/// Returns the next logical [`Tuid`].
///
/// Wraps the monotonically increasing back to zero on overflow.
///
/// Beware: wrong usage can easily lead to conflicts.
/// Prefer [`Tuid::random`] when unsure.
#[inline]
pub fn next(&self) -> Self {
let Self { time_ns, inc } = *self;
Self {
time_ns,
inc: inc.wrapping_add(1),
}
}
/// Returns the `n`-next logical [`Tuid`].
///
/// This is equivalent to calling [`Tuid::next`] `n` times.
/// Wraps the monotonically increasing back to zero on overflow.
///
/// Beware: wrong usage can easily lead to conflicts.
/// Prefer [`Tuid::random`] when unsure.
#[inline]
pub fn increment(&self, n: u64) -> Self {
let Self { time_ns, inc } = *self;
Self {
time_ns,
inc: inc.wrapping_add(n),
}
}
#[inline]
pub fn nanoseconds_since_epoch(&self) -> u64 {
self.time_ns
}
/// A shortened string representation of the `Tuid`.
#[inline]
pub fn short_string(&self) -> String {
// We still want this to look like a part of the full TUID (i.e. what is printed on
// `std::fmt::Display`).
// Per Thread randomness plus increment is in the last part, so show only that.
// (the first half is time in nanoseconds which for the _most part_ doesn't change that
// often)
let str = self.to_string();
str[(str.len() - 8)..].to_string()
}
}
/// Returns a high-precision, monotonically increasing count that approximates nanoseconds since unix epoch.
#[inline]
fn monotonic_nanos_since_epoch() -> u64 {
// This can maybe be optimized
use once_cell::sync::Lazy;
use web_time::Instant;
static START_TIME: Lazy<(u64, Instant)> = Lazy::new(|| (nanos_since_epoch(), Instant::now()));
START_TIME.0 + START_TIME.1.elapsed().as_nanos() as u64
}
fn nanos_since_epoch() -> u64 {
if let Ok(duration_since_epoch) = web_time::SystemTime::UNIX_EPOCH.elapsed() {
let mut nanos_since_epoch = duration_since_epoch.as_nanos() as u64;
if cfg!(target_arch = "wasm32") {
// Web notriously round to the nearest millisecond (because of spectre/meltdown)
// so we add a bit of extra randomenss here to increase our entropy and reduce the chance of collisions:
nanos_since_epoch += random_u64() % 1_000_000;
}
nanos_since_epoch
} else {
// system time is set before 1970. this should be quite rare.
0
}
}
#[inline]
fn random_u64() -> u64 {
let mut bytes = [0_u8; 8];
getrandom::getrandom(&mut bytes).expect("Couldn't get random bytes");
u64::from_le_bytes(bytes)
}
#[test]
fn test_tuid() {
use std::collections::{BTreeSet, HashSet};
fn is_sorted<T>(data: &[T]) -> bool
where
T: Ord,
{
data.windows(2).all(|w| w[0] <= w[1])
}
let num = 100_000;
let ids: Vec<Tuid> = (0..num).map(|_| Tuid::random()).collect();
assert!(is_sorted(&ids));
assert_eq!(ids.iter().cloned().collect::<HashSet::<Tuid>>().len(), num);
assert_eq!(ids.iter().cloned().collect::<BTreeSet::<Tuid>>().len(), num);
}