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Fix tiered compaction k-merge bug and use in-memory alternative (#7661)
This PR does two things: First, it fixes a bug with tiered compaction's k-merge implementation. It ignored the lsn of a key during ordering, so multiple updates of the same key could be read in arbitrary order, say from different layers. For example there is layers `[(a, 2),(b, 3)]` and `[(a, 1),(c, 2)]` in the heap, they might return `(a,2)` and `(a,1)`. Ultimately, this change wasn't enough to fix the ordering issues in #7296, in other words there is likely still bugs in the k-merge. So as the second thing, we switch away from the k-merge to an in-memory based one, similar to #4839, but leave the code around to be improved and maybe switched to later on. Part of #7296
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@@ -24,7 +24,9 @@ use tracing::{debug, info};
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use std::collections::{HashSet, VecDeque};
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use std::ops::Range;
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use crate::helpers::{accum_key_values, keyspace_total_size, merge_delta_keys, overlaps_with};
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use crate::helpers::{
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accum_key_values, keyspace_total_size, merge_delta_keys_buffered, overlaps_with,
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};
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use crate::interface::*;
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use utils::lsn::Lsn;
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@@ -535,7 +537,10 @@ where
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}
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}
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// Open stream
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let key_value_stream = std::pin::pin!(merge_delta_keys::<E>(deltas.as_slice(), ctx));
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let key_value_stream =
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std::pin::pin!(merge_delta_keys_buffered::<E>(deltas.as_slice(), ctx)
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.await?
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.map(Result::<_, anyhow::Error>::Ok));
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let mut new_jobs = Vec::new();
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// Slide a window through the keyspace
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@@ -14,6 +14,7 @@ use std::future::Future;
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use std::ops::{DerefMut, Range};
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use std::pin::Pin;
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use std::task::{ready, Poll};
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use utils::lsn::Lsn;
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pub fn keyspace_total_size<K>(
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keyspace: &CompactionKeySpace<K>,
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@@ -109,17 +110,40 @@ pub fn merge_delta_keys<'a, E: CompactionJobExecutor>(
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}
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}
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pub async fn merge_delta_keys_buffered<'a, E: CompactionJobExecutor + 'a>(
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layers: &'a [E::DeltaLayer],
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ctx: &'a E::RequestContext,
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) -> anyhow::Result<impl Stream<Item = <E::DeltaLayer as CompactionDeltaLayer<E>>::DeltaEntry<'a>>>
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{
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let mut keys = Vec::new();
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for l in layers {
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// Boxing and casting to LoadFuture is required to obtain the right Sync bound.
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// If we do l.load_keys(ctx).await? directly, there is a compilation error.
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let load_future: LoadFuture<'a, _> = Box::pin(l.load_keys(ctx));
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keys.extend(load_future.await?.into_iter());
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}
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keys.sort_by_key(|k| (k.key(), k.lsn()));
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let stream = futures::stream::iter(keys.into_iter());
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Ok(stream)
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}
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enum LazyLoadLayer<'a, E: CompactionJobExecutor> {
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Loaded(VecDeque<<E::DeltaLayer as CompactionDeltaLayer<E>>::DeltaEntry<'a>>),
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Unloaded(&'a E::DeltaLayer),
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}
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impl<'a, E: CompactionJobExecutor> LazyLoadLayer<'a, E> {
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fn key(&self) -> E::Key {
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fn min_key(&self) -> E::Key {
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match self {
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Self::Loaded(entries) => entries.front().unwrap().key(),
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Self::Unloaded(dl) => dl.key_range().start,
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}
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}
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fn min_lsn(&self) -> Lsn {
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match self {
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Self::Loaded(entries) => entries.front().unwrap().lsn(),
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Self::Unloaded(dl) => dl.lsn_range().start,
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}
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}
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}
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impl<'a, E: CompactionJobExecutor> PartialOrd for LazyLoadLayer<'a, E> {
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fn partial_cmp(&self, other: &Self) -> Option<std::cmp::Ordering> {
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@@ -129,12 +153,12 @@ impl<'a, E: CompactionJobExecutor> PartialOrd for LazyLoadLayer<'a, E> {
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impl<'a, E: CompactionJobExecutor> Ord for LazyLoadLayer<'a, E> {
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fn cmp(&self, other: &Self) -> std::cmp::Ordering {
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// reverse order so that we get a min-heap
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other.key().cmp(&self.key())
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(other.min_key(), other.min_lsn()).cmp(&(self.min_key(), self.min_lsn()))
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}
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}
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impl<'a, E: CompactionJobExecutor> PartialEq for LazyLoadLayer<'a, E> {
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fn eq(&self, other: &Self) -> bool {
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self.key().eq(&other.key())
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self.cmp(other) == std::cmp::Ordering::Equal
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}
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}
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impl<'a, E: CompactionJobExecutor> Eq for LazyLoadLayer<'a, E> {}
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