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use std::ops::RangeInclusive;
use smallvec::{SmallVec, smallvec};
use crate::compaction::interval_map::IntervalMap;
/// Represents part of a database (i.e. an SST file) with a range of keys (i.e. hashes) and a size
/// of that data in bytes.
pub trait Compactable {
/// The range of keys stored in this database segment.
fn range(&self) -> RangeInclusive<u64>;
/// The size of the compactable database segment in bytes.
fn size(&self) -> u64;
}
fn is_overlapping(a: &RangeInclusive<u64>, b: &RangeInclusive<u64>) -> bool {
a.start() <= b.end() && b.start() <= a.end()
}
fn spread(range: &RangeInclusive<u64>) -> u128 {
// the spread of `0..=u64::MAX` is `u64::MAX + 1`, so this could overflow as u64
u128::from(range.end() - range.start()) + 1
}
/// Extends the range `a` to include the range `b`, returns `true` if the range was extended.
fn extend_range(a: &mut RangeInclusive<u64>, b: &RangeInclusive<u64>) -> bool {
let mut extended = false;
if b.start() < a.start() {
*a = (*b.start())..=(*a.end());
extended = true;
}
if b.end() > a.end() {
*a = (*a.start())..=(*b.end());
extended = true;
}
extended
}
#[derive(Debug)]
pub struct CompactableMetrics {
/// The total coverage of the compactables.
pub coverage: f32,
/// The maximum overlap of the compactables.
pub overlap: f32,
/// The possible duplication of the compactables.
pub duplicated_size: u64,
/// The possible duplication of the compactables as factor to total size.
pub duplication: f32,
}
/// Computes metrics about the compactables.
pub fn compute_metrics<T: Compactable>(
compactables: &[T],
full_range: RangeInclusive<u64>,
) -> CompactableMetrics {
let mut interval_map = IntervalMap::<Option<(DuplicationInfo, usize)>>::new();
let mut coverage = 0.0f32;
for c in compactables {
let range = c.range();
coverage += spread(&range) as f32;
interval_map.update(range.clone(), |value| {
let (dup_info, count) = value.get_or_insert_default();
dup_info.add(c.size(), &range);
*count += 1;
});
}
let full_spread = spread(&full_range) as f32;
let (duplicated_size, duplication, overlap) = interval_map
.iter()
.flat_map(|(range, value)| Some((range, value.as_ref()?)))
.map(|(range, (dup_info, count))| {
let duplicated_size = dup_info.duplication(&range);
let total_size = dup_info.size(&range);
let overlap = spread(&range) as f32 * count.saturating_sub(1) as f32;
(duplicated_size, total_size, overlap)
})
.reduce(|(dup1, total1, overlap1), (dup2, total2, overlap2)| {
(dup1 + dup2, total1 + total2, overlap1 + overlap2)
})
.map(|(duplicated_size, total_size, overlap)| {
(
duplicated_size,
if total_size > 0 {
duplicated_size as f32 / total_size as f32
} else {
0.0
},
overlap,
)
})
.unwrap_or((0, 0.0, 0.0));
CompactableMetrics {
coverage: coverage / full_spread,
overlap: overlap / full_spread,
duplicated_size,
duplication,
}
}
/// Configuration for the compaction algorithm.
pub struct CompactConfig {
/// The minimum number of files to merge at once.
pub min_merge_count: usize,
/// The optimal number of files to merge at once.
pub optimal_merge_count: usize,
/// The maximum number of files to merge at once.
pub max_merge_count: usize,
/// The maximum size of all files to merge at once.
pub max_merge_bytes: u64,
/// The amount of duplication that need to be in a merge job to be considered for merging.
pub min_merge_duplication_bytes: u64,
/// The optimal duplication size for merging.
pub optimal_merge_duplication_bytes: u64,
/// The maximum number of merge segments to determine.
pub max_merge_segment_count: usize,
}
impl Default for CompactConfig {
fn default() -> Self {
const MB: u64 = 1024 * 1024;
Self {
min_merge_count: 2,
optimal_merge_count: 8,
max_merge_count: 32,
max_merge_bytes: 500 * MB,
min_merge_duplication_bytes: MB,
optimal_merge_duplication_bytes: 10 * MB,
max_merge_segment_count: 8,
}
}
}
#[derive(Clone, Default, Eq, PartialEq)]
struct DuplicationInfo {
/// The sum of all encountered scaled sizes.
total_size: u64,
/// The largest encountered single scaled size.
max_size: u64,
}
impl DuplicationInfo {
/// Get a value in the range `0..=u64` that represents the estimated amount of duplication
/// across the given range. The units are arbitrary, but linear.
fn duplication(&self, range: &RangeInclusive<u64>) -> u64 {
if self.total_size == 0 {
return 0;
}
// the maximum numerator value is `u64::MAX + 1`
u64::try_from(
u128::from(self.total_size - self.max_size) * spread(range)
/ (u128::from(u64::MAX) + 1),
)
.expect("should not overflow, denominator was `u64::MAX+1`")
}
/// The estimated size (in bytes) of a database segment containing `range` keys.
fn size(&self, range: &RangeInclusive<u64>) -> u64 {
if self.total_size == 0 {
return 0;
}
// the maximum numerator value is `u64::MAX + 1`
u64::try_from(u128::from(self.total_size) * spread(range) / (u128::from(u64::MAX) + 1))
.expect("should not overflow, denominator was `u64::MAX+1`")
}
fn add(&mut self, size: u64, range: &RangeInclusive<u64>) {
// Assumption: `size` is typically much smaller than `spread(range)`. The spread is some
// fraction of `u64` (the full possible key-space), but no SST file is anywhere close to
// `u64::MAX` bytes.
// Scale size to full range:
let scaled_size =
u64::try_from(u128::from(size) * (u128::from(u64::MAX) + 1) / spread(range))
.unwrap_or(u64::MAX);
self.total_size = self.total_size.saturating_add(scaled_size);
self.max_size = self.max_size.max(scaled_size);
}
}
fn total_duplication_size(duplication: &IntervalMap<Option<DuplicationInfo>>) -> u64 {
duplication
.iter()
.flat_map(|(range, info)| Some((range, info.as_ref()?)))
.map(|(range, info)| info.duplication(&range))
.sum()
}
type MergeSegments = Vec<SmallVec<[usize; 1]>>;
pub fn get_merge_segments<T: Compactable>(
compactables: &[T],
config: &CompactConfig,
) -> MergeSegments {
// Process all compactables in reverse order.
// For each compactable, find the smallest set of compactables that overlaps with it and matches
// the conditions.
// To find the set:
// - Set the current range to the range of the first unused compactable.
// - When the set matches the conditions, add the set as merge job, mark all used compactables
// and continue.
// - Find the next unused compactable that overlaps with the current range.
// - If the range need to be extended, restart the search with the new range.
// - If the compactable is within the range, add it to the current set.
// - If the set is too large, mark the starting compactable as used and continue with the next
let mut unused_compactables = compactables.iter().collect::<Vec<_>>();
let mut used_compactables = vec![false; compactables.len()];
let mut merge_segments: MergeSegments = Vec::new();
let mut real_merge_segments = 0;
// Iterate in reverse order to process the compactables from the end.
// That's the order in which compactables are read, so we need to keep that order.
'outer: while let Some(start_compactable) = unused_compactables.pop() {
let start_index = unused_compactables.len();
if used_compactables[start_index] {
continue;
}
if real_merge_segments >= config.max_merge_segment_count {
// We have reached the maximum number of merge jobs, so we stop here.
break;
}
let mut current_range = start_compactable.range();
// We might need to restart the search if we need to extend the range.
'search: loop {
let mut current_set = smallvec![start_index];
let mut current_size = start_compactable.size();
let mut duplication = IntervalMap::<Option<DuplicationInfo>>::new();
let mut current_skip = 0;
// We will capture compactables in the current_range until we find a optimal merge
// segment or are limited by size or count.
loop {
// Early exit if we have found an optimal merge segment.
let duplication_size = total_duplication_size(&duplication);
let optimal_merge_job = current_set.len() >= config.optimal_merge_count
&& duplication_size >= config.optimal_merge_duplication_bytes;
if optimal_merge_job {
for &i in current_set.iter() {
used_compactables[i] = true;
}
current_set.reverse();
merge_segments.push(current_set);
real_merge_segments += 1;
continue 'outer;
}
// If we are limited by size or count, we might also crate a merge segment if it's
// within the limits.
let valid_merge_job = current_set.len() >= config.min_merge_count
&& duplication_size >= config.min_merge_duplication_bytes;
let mut end_job =
|mut current_set: SmallVec<[usize; 1]>, used_compactables: &mut Vec<bool>| {
if valid_merge_job {
for &i in current_set.iter() {
used_compactables[i] = true;
}
current_set.reverse();
merge_segments.push(current_set);
real_merge_segments += 1;
} else {
merge_segments.push(smallvec![start_index]);
}
};
// Check if we run into the count or size limit.
if current_set.len() >= config.max_merge_count
|| current_size >= config.max_merge_bytes
{
// The set is so large so we can't add more compactables to it.
end_job(current_set, &mut used_compactables);
continue 'outer;
}
// Find the next compactable that overlaps with the current range.
let Some((next_index, compactable)) = unused_compactables
.iter()
.enumerate()
.rev()
.skip(current_skip)
.find(|(i, compactable)| {
if used_compactables[*i] {
return false;
}
let range = compactable.range();
is_overlapping(¤t_range, &range)
})
else {
// There are no more compactables that overlap with the current range.
end_job(current_set, &mut used_compactables);
continue 'outer;
};
current_skip = unused_compactables.len() - next_index;
// Check if we run into the size limit.
let size = compactable.size();
if current_size + size > config.max_merge_bytes {
// The next compactable is too large to be added to the current set.
end_job(current_set, &mut used_compactables);
continue 'outer;
}
// Check if the next compactable is larger than the current range. We need to
// restart from beginning here as there could be previously skipped compactables
// that are within the larger range.
let range = compactable.range();
if extend_range(&mut current_range, &range) {
// The range was extended, so we need to restart the search.
continue 'search;
}
// The next compactable is within the current range, so we can add it to the current
// set.
current_set.push(next_index);
current_size += size;
duplication.update(range.clone(), |dup_info| {
dup_info.get_or_insert_default().add(size, &range);
});
}
}
}
while merge_segments.last().is_some_and(|s| s.len() == 1) {
// Remove segments that only contain a single compactable.
merge_segments.pop();
}
// Reverse it since we processed in reverse order.
merge_segments.reverse();
// Remove single compectable segments that don't overlap with previous segments. We don't need
// to touch them.
let mut used_ranges = IntervalMap::<bool>::new();
merge_segments.retain(|segment| {
// Remove a single element segments which doesn't overlap with previous used ranges.
if segment.len() == 1 {
let range = compactables[segment[0]].range();
if !used_ranges.iter_intersecting(range).any(|(_, v)| *v) {
return false;
}
}
// Mark the ranges of the segment as used.
for i in segment {
let range = compactables[*i].range();
used_ranges.replace(range, true);
}
true
});
merge_segments
}
#[cfg(test)]
mod tests {
use std::{
fmt::Debug,
mem::{replace, swap},
};
use rand::{Rng, SeedableRng, seq::SliceRandom};
use super::*;
struct TestCompactable {
range: RangeInclusive<u64>,
size: u64,
}
impl Compactable for TestCompactable {
fn range(&self) -> RangeInclusive<u64> {
self.range.clone()
}
fn size(&self) -> u64 {
self.size
}
}
fn compact<const N: usize>(
ranges: [RangeInclusive<u64>; N],
config: &CompactConfig,
) -> Vec<Vec<usize>> {
let compactables = ranges
.into_iter()
.map(|range| TestCompactable { range, size: 100 })
.collect::<Vec<_>>();
let jobs = get_merge_segments(&compactables, config);
jobs.into_iter()
.map(|job| job.into_iter().collect())
.collect()
}
#[test]
fn test_compaction_jobs_by_count() {
let merge_jobs = compact(
[
0..=10,
10..=30,
9..=13,
0..=30,
40..=44,
41..=42,
41..=47,
90..=100,
30..=40,
],
&CompactConfig {
min_merge_count: 2,
optimal_merge_count: 3,
max_merge_count: 4,
max_merge_bytes: u64::MAX,
min_merge_duplication_bytes: 0,
optimal_merge_duplication_bytes: 0,
max_merge_segment_count: usize::MAX,
},
);
assert_eq!(merge_jobs, vec![vec![1, 2, 3], vec![5, 6, 8]]);
}
#[test]
fn test_compaction_jobs_by_size() {
let merge_jobs = compact(
[
0..=10,
10..=30,
9..=13,
0..=30,
40..=44,
41..=42,
41..=47,
90..=100,
30..=40,
],
&CompactConfig {
min_merge_count: 2,
optimal_merge_count: 2,
max_merge_count: usize::MAX,
max_merge_bytes: 300,
min_merge_duplication_bytes: 0,
optimal_merge_duplication_bytes: u64::MAX,
max_merge_segment_count: usize::MAX,
},
);
assert_eq!(merge_jobs, vec![vec![1, 2, 3], vec![5, 6, 8]]);
}
#[test]
fn test_compaction_jobs_full() {
let merge_jobs = compact(
[
0..=10,
10..=30,
9..=13,
0..=30,
40..=44,
41..=42,
41..=47,
90..=100,
30..=40,
],
&CompactConfig {
min_merge_count: 2,
optimal_merge_count: usize::MAX,
max_merge_count: usize::MAX,
max_merge_bytes: u64::MAX,
min_merge_duplication_bytes: 0,
optimal_merge_duplication_bytes: u64::MAX,
max_merge_segment_count: usize::MAX,
},
);
assert_eq!(merge_jobs, vec![vec![0, 1, 2, 3, 4, 5, 6, 8]]);
}
#[test]
fn test_compaction_jobs_big() {
let merge_jobs = compact(
[
0..=10,
10..=30,
9..=13,
0..=30,
40..=44,
41..=42,
41..=47,
90..=100,
30..=40,
],
&CompactConfig {
min_merge_count: 2,
optimal_merge_count: 7,
max_merge_count: usize::MAX,
max_merge_bytes: u64::MAX,
min_merge_duplication_bytes: 0,
optimal_merge_duplication_bytes: 0,
max_merge_segment_count: usize::MAX,
},
);
assert_eq!(merge_jobs, vec![vec![1, 2, 3, 4, 5, 6, 8]]);
}
#[test]
fn test_compaction_jobs_small() {
let merge_jobs = compact(
[
0..=10,
10..=30,
9..=13,
0..=30,
40..=44,
41..=42,
41..=47,
90..=100,
30..=40,
],
&CompactConfig {
min_merge_count: 2,
optimal_merge_count: 2,
max_merge_count: usize::MAX,
max_merge_bytes: u64::MAX,
min_merge_duplication_bytes: 0,
optimal_merge_duplication_bytes: 0,
max_merge_segment_count: usize::MAX,
},
);
assert_eq!(
merge_jobs,
vec![vec![0, 1], vec![2, 3], vec![4, 5], vec![6, 8]]
);
}
pub fn debug_print_compactables<T: Compactable>(compactables: &[T], max_key: u64) {
const WIDTH: usize = 128;
let char_width: u64 = max_key / WIDTH as u64;
for (i, c) in compactables.iter().enumerate() {
let range = c.range();
let size = c.size();
let start = usize::try_from(range.start() / char_width).unwrap();
let end = usize::try_from(range.end() / char_width).unwrap();
let mut line = format!("{i:>3} | ");
for j in 0..WIDTH {
if j >= start && j <= end {
line.push('█');
} else {
line.push(' ');
}
}
println!("{line} | {size:>6}");
}
}
#[test]
fn simulate_compactions() {
const KEY_RANGE: u64 = 10000;
const WARM_KEY_COUNT: usize = 100;
const INITIAL_CHUNK_SIZE: usize = 100;
const ITERATIONS: usize = 100;
let mut rnd = rand::rngs::SmallRng::from_seed([0; 32]);
let mut keys = (0..KEY_RANGE).collect::<Vec<_>>();
keys.shuffle(&mut rnd);
let mut batch_index = 0;
let mut containers = keys
.chunks(INITIAL_CHUNK_SIZE)
.map(|keys| Container::new(batch_index, keys.to_vec()))
.collect::<Vec<_>>();
let mut warm_keys = (0..WARM_KEY_COUNT)
.map(|_| {
let i = rnd.random_range(0..keys.len());
keys.swap_remove(i)
})
.collect::<Vec<_>>();
let mut number_of_compactions = 0;
for _ in 0..ITERATIONS {
let total_size = containers.iter().map(|c| c.keys.len()).sum::<usize>();
let metrics = compute_metrics(&containers, 0..=KEY_RANGE);
debug_print_compactables(&containers, KEY_RANGE);
println!(
"size: {}, coverage: {}, overlap: {}, duplication: {}, items: {}",
total_size,
metrics.coverage,
metrics.overlap,
metrics.duplication,
containers.len()
);
assert!(containers.len() < 400);
// assert!(metrics.duplication < 4.0);
let config = CompactConfig {
max_merge_count: 16,
min_merge_count: 2,
optimal_merge_count: 4,
max_merge_bytes: 5000,
min_merge_duplication_bytes: 200,
optimal_merge_duplication_bytes: 500,
max_merge_segment_count: 4,
};
let jobs = get_merge_segments(&containers, &config);
if !jobs.is_empty() {
println!("{jobs:?}");
batch_index += 1;
do_compact(&mut containers, jobs, batch_index);
number_of_compactions += 1;
let new_metrics = compute_metrics(&containers, 0..=KEY_RANGE);
println!(
"Compaction done: coverage: {} ({}), overlap: {} ({}), duplication: {} ({})",
new_metrics.coverage,
new_metrics.coverage - metrics.coverage,
new_metrics.overlap,
new_metrics.overlap - metrics.overlap,
new_metrics.duplication,
new_metrics.duplication - metrics.duplication
);
} else {
println!("No compaction needed");
}
// Modify warm keys
batch_index += 1;
let pieces = rnd.random_range(1..4);
for chunk in warm_keys.chunks(warm_keys.len().div_ceil(pieces)) {
containers.push(Container::new(batch_index, chunk.to_vec()));
}
// Change some warm keys
let changes = rnd.random_range(0..100);
for _ in 0..changes {
let i = rnd.random_range(0..warm_keys.len());
let j = rnd.random_range(0..keys.len());
swap(&mut warm_keys[i], &mut keys[j]);
}
}
println!("Number of compactions: {number_of_compactions}");
let metrics = compute_metrics(&containers, 0..=KEY_RANGE);
assert!(number_of_compactions < 40);
assert!(containers.len() < 30);
assert!(metrics.duplication < 0.5);
}
struct Container {
batch_index: usize,
keys: Vec<u64>,
}
impl Container {
fn new(batch_index: usize, mut keys: Vec<u64>) -> Self {
keys.sort_unstable();
Self { batch_index, keys }
}
}
impl Compactable for Container {
fn range(&self) -> RangeInclusive<u64> {
(self.keys[0])..=(*self.keys.last().unwrap())
}
fn size(&self) -> u64 {
self.keys.len() as u64
}
}
impl Debug for Container {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
let (l, r) = self.range().into_inner();
write!(
f,
"#{} {}b {l} - {r} ({})",
self.batch_index,
self.keys.len(),
r - l
)
}
}
fn do_compact(containers: &mut Vec<Container>, segments: MergeSegments, batch_index: usize) {
let total_size = containers.iter().map(|c| c.keys.len()).sum::<usize>();
for merge_job in segments {
if merge_job.len() < 2 {
let container = replace(
&mut containers[merge_job[0]],
Container {
batch_index: 0,
keys: Default::default(),
},
);
containers.push(container);
} else {
let mut keys = Vec::new();
for i in merge_job {
keys.append(&mut containers[i].keys);
}
keys.sort_unstable();
keys.dedup();
containers.extend(keys.chunks(1000).map(|keys| Container {
batch_index,
keys: keys.to_vec(),
}));
}
}
containers.retain(|c| !c.keys.is_empty());
let total_size2 = containers.iter().map(|c| c.keys.len()).sum::<usize>();
println!("Compaction done: {total_size} -> {total_size2}",);
}
}
|