Files
neon/pageserver/src/tenant/storage_layer/inmemory_layer.rs
John Spray 7c74112b2a pageserver: batch InMemoryLayer puts, remove need to sort items by LSN during ingest (#8591)
## Problem/Solution

TimelineWriter::put_batch is simply a loop over individual puts. Each
put acquires and releases locks, and checks for potentially starting a
new layer. Batching these is more efficient, but more importantly
unlocks future changes where we can pre-build serialized buffers much
earlier in the ingest process, potentially even on the safekeeper
(imagine a future model where some variant of DatadirModification lives
on the safekeeper).

Ensuring that the values in put_batch are written to one layer also
enables a simplification upstream, where we no longer need to write
values in LSN-order. This saves us a sort, but also simplifies follow-on
refactors to DatadirModification: we can store metadata keys and data
keys separately at that level without needing to zip them together in
LSN order later.

## Why?

In this PR, these changes are simplify optimizations, but they are
motivated by evolving the ingest path in the direction of disentangling
extracting DatadirModification from Timeline. It may not obvious how
right now, but the general idea is that we'll end up with three phases
of ingest:
- A) Decode walrecords and build a datadirmodification with all the
simple data contents already in a big serialized buffer ready to write
to an ephemeral layer **<-- this part can be pipelined and parallelized,
and done on a safekeeper!**
- B) Let that datadirmodification see a Timeline, so that it can also
generate all the metadata updates that require a read-modify-write of
existing pages
- C) Dump the results of B into an ephemeral layer.

Related: https://github.com/neondatabase/neon/issues/8452

## Caveats

Doing a big monolithic buffer of values to write to disk is ordinarily
an anti-pattern: we prefer nice streaming I/O. However:
- In future, when we do this first decode stage on the safekeeper, it
would be inefficient to serialize a Vec of Value, and then later
deserialize it just to add blob size headers while writing into the
ephemeral layer format. The idea is that for bulk write data, we will
serialize exactly once.
- The monolithic buffer is a stepping stone to pipelining more of this:
by seriailizing earlier (rather than at the final put_value), we will be
able to parallelize the wal decoding and bulk serialization of data page
writes.
- The ephemeral layer's buffered writer already stalls writes while it
waits to flush: so while yes we'll stall for a couple milliseconds to
write a couple megabytes, we already have stalls like this, just
distributed across smaller writes.

## Benchmarks

This PR is primarily a stepping stone to safekeeper ingest filtering,
but also provides a modest efficiency improvement to the `wal_recovery`
part of `test_bulk_ingest`.

test_bulk_ingest:

```
test_bulk_insert[neon-release-pg16].insert: 23.659 s
test_bulk_insert[neon-release-pg16].pageserver_writes: 5,428 MB
test_bulk_insert[neon-release-pg16].peak_mem: 626 MB
test_bulk_insert[neon-release-pg16].size: 0 MB
test_bulk_insert[neon-release-pg16].data_uploaded: 1,922 MB
test_bulk_insert[neon-release-pg16].num_files_uploaded: 8 
test_bulk_insert[neon-release-pg16].wal_written: 1,382 MB
test_bulk_insert[neon-release-pg16].wal_recovery: 18.981 s
test_bulk_insert[neon-release-pg16].compaction: 0.055 s

vs. tip of main:
test_bulk_insert[neon-release-pg16].insert: 24.001 s
test_bulk_insert[neon-release-pg16].pageserver_writes: 5,428 MB
test_bulk_insert[neon-release-pg16].peak_mem: 604 MB
test_bulk_insert[neon-release-pg16].size: 0 MB
test_bulk_insert[neon-release-pg16].data_uploaded: 1,922 MB
test_bulk_insert[neon-release-pg16].num_files_uploaded: 8 
test_bulk_insert[neon-release-pg16].wal_written: 1,382 MB
test_bulk_insert[neon-release-pg16].wal_recovery: 23.586 s
test_bulk_insert[neon-release-pg16].compaction: 0.054 s
```
2024-08-22 10:04:42 +00:00

665 lines
24 KiB
Rust

//! An in-memory layer stores recently received key-value pairs.
//!
//! The "in-memory" part of the name is a bit misleading: the actual page versions are
//! held in an ephemeral file, not in memory. The metadata for each page version, i.e.
//! its position in the file, is kept in memory, though.
//!
use crate::config::PageServerConf;
use crate::context::{PageContentKind, RequestContext, RequestContextBuilder};
use crate::page_cache::PAGE_SZ;
use crate::repository::{Key, Value};
use crate::tenant::block_io::{BlockCursor, BlockReader, BlockReaderRef};
use crate::tenant::ephemeral_file::EphemeralFile;
use crate::tenant::timeline::GetVectoredError;
use crate::tenant::PageReconstructError;
use crate::virtual_file::owned_buffers_io::io_buf_ext::IoBufExt;
use crate::{l0_flush, page_cache};
use anyhow::{anyhow, Result};
use camino::Utf8PathBuf;
use pageserver_api::key::CompactKey;
use pageserver_api::keyspace::KeySpace;
use pageserver_api::models::InMemoryLayerInfo;
use pageserver_api::shard::TenantShardId;
use std::collections::BTreeMap;
use std::sync::{Arc, OnceLock};
use std::time::Instant;
use tracing::*;
use utils::{bin_ser::BeSer, id::TimelineId, lsn::Lsn, vec_map::VecMap};
// avoid binding to Write (conflicts with std::io::Write)
// while being able to use std::fmt::Write's methods
use crate::metrics::TIMELINE_EPHEMERAL_BYTES;
use std::cmp::Ordering;
use std::fmt::Write;
use std::ops::Range;
use std::sync::atomic::Ordering as AtomicOrdering;
use std::sync::atomic::{AtomicU64, AtomicUsize};
use tokio::sync::RwLock;
use super::{
DeltaLayerWriter, PersistentLayerDesc, ValueReconstructSituation, ValuesReconstructState,
};
#[derive(Debug, PartialEq, Eq, Clone, Copy, Hash)]
pub(crate) struct InMemoryLayerFileId(page_cache::FileId);
pub struct InMemoryLayer {
conf: &'static PageServerConf,
tenant_shard_id: TenantShardId,
timeline_id: TimelineId,
file_id: InMemoryLayerFileId,
/// This layer contains all the changes from 'start_lsn'. The
/// start is inclusive.
start_lsn: Lsn,
/// Frozen layers have an exclusive end LSN.
/// Writes are only allowed when this is `None`.
pub(crate) end_lsn: OnceLock<Lsn>,
/// Used for traversal path. Cached representation of the in-memory layer after frozen.
frozen_local_path_str: OnceLock<Arc<str>>,
opened_at: Instant,
/// The above fields never change, except for `end_lsn`, which is only set once.
/// All other changing parts are in `inner`, and protected by a mutex.
inner: RwLock<InMemoryLayerInner>,
}
impl std::fmt::Debug for InMemoryLayer {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
f.debug_struct("InMemoryLayer")
.field("start_lsn", &self.start_lsn)
.field("end_lsn", &self.end_lsn)
.field("inner", &self.inner)
.finish()
}
}
pub struct InMemoryLayerInner {
/// All versions of all pages in the layer are kept here. Indexed
/// by block number and LSN. The value is an offset into the
/// ephemeral file where the page version is stored.
index: BTreeMap<CompactKey, VecMap<Lsn, u64>>,
/// The values are stored in a serialized format in this file.
/// Each serialized Value is preceded by a 'u32' length field.
/// PerSeg::page_versions map stores offsets into this file.
file: EphemeralFile,
resource_units: GlobalResourceUnits,
}
impl std::fmt::Debug for InMemoryLayerInner {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
f.debug_struct("InMemoryLayerInner").finish()
}
}
/// State shared by all in-memory (ephemeral) layers. Updated infrequently during background ticks in Timeline,
/// to minimize contention.
///
/// This global state is used to implement behaviors that require a global view of the system, e.g.
/// rolling layers proactively to limit the total amount of dirty data.
pub(crate) struct GlobalResources {
// Limit on how high dirty_bytes may grow before we start freezing layers to reduce it.
// Zero means unlimited.
pub(crate) max_dirty_bytes: AtomicU64,
// How many bytes are in all EphemeralFile objects
dirty_bytes: AtomicU64,
// How many layers are contributing to dirty_bytes
dirty_layers: AtomicUsize,
}
// Per-timeline RAII struct for its contribution to [`GlobalResources`]
struct GlobalResourceUnits {
// How many dirty bytes have I added to the global dirty_bytes: this guard object is responsible
// for decrementing the global counter by this many bytes when dropped.
dirty_bytes: u64,
}
impl GlobalResourceUnits {
// Hint for the layer append path to update us when the layer size differs from the last
// call to update_size by this much. If we don't reach this threshold, we'll still get
// updated when the Timeline "ticks" in the background.
const MAX_SIZE_DRIFT: u64 = 10 * 1024 * 1024;
fn new() -> Self {
GLOBAL_RESOURCES
.dirty_layers
.fetch_add(1, AtomicOrdering::Relaxed);
Self { dirty_bytes: 0 }
}
/// Do not call this frequently: all timelines will write to these same global atomics,
/// so this is a relatively expensive operation. Wait at least a few seconds between calls.
///
/// Returns the effective layer size limit that should be applied, if any, to keep
/// the total number of dirty bytes below the configured maximum.
fn publish_size(&mut self, size: u64) -> Option<u64> {
let new_global_dirty_bytes = match size.cmp(&self.dirty_bytes) {
Ordering::Equal => GLOBAL_RESOURCES.dirty_bytes.load(AtomicOrdering::Relaxed),
Ordering::Greater => {
let delta = size - self.dirty_bytes;
let old = GLOBAL_RESOURCES
.dirty_bytes
.fetch_add(delta, AtomicOrdering::Relaxed);
old + delta
}
Ordering::Less => {
let delta = self.dirty_bytes - size;
let old = GLOBAL_RESOURCES
.dirty_bytes
.fetch_sub(delta, AtomicOrdering::Relaxed);
old - delta
}
};
// This is a sloppy update: concurrent updates to the counter will race, and the exact
// value of the metric might not be the exact latest value of GLOBAL_RESOURCES::dirty_bytes.
// That's okay: as long as the metric contains some recent value, it doesn't have to always
// be literally the last update.
TIMELINE_EPHEMERAL_BYTES.set(new_global_dirty_bytes);
self.dirty_bytes = size;
let max_dirty_bytes = GLOBAL_RESOURCES
.max_dirty_bytes
.load(AtomicOrdering::Relaxed);
if max_dirty_bytes > 0 && new_global_dirty_bytes > max_dirty_bytes {
// Set the layer file limit to the average layer size: this implies that all above-average
// sized layers will be elegible for freezing. They will be frozen in the order they
// next enter publish_size.
Some(
new_global_dirty_bytes
/ GLOBAL_RESOURCES.dirty_layers.load(AtomicOrdering::Relaxed) as u64,
)
} else {
None
}
}
// Call publish_size if the input size differs from last published size by more than
// the drift limit
fn maybe_publish_size(&mut self, size: u64) {
let publish = match size.cmp(&self.dirty_bytes) {
Ordering::Equal => false,
Ordering::Greater => size - self.dirty_bytes > Self::MAX_SIZE_DRIFT,
Ordering::Less => self.dirty_bytes - size > Self::MAX_SIZE_DRIFT,
};
if publish {
self.publish_size(size);
}
}
}
impl Drop for GlobalResourceUnits {
fn drop(&mut self) {
GLOBAL_RESOURCES
.dirty_layers
.fetch_sub(1, AtomicOrdering::Relaxed);
// Subtract our contribution to the global total dirty bytes
self.publish_size(0);
}
}
pub(crate) static GLOBAL_RESOURCES: GlobalResources = GlobalResources {
max_dirty_bytes: AtomicU64::new(0),
dirty_bytes: AtomicU64::new(0),
dirty_layers: AtomicUsize::new(0),
};
impl InMemoryLayer {
pub(crate) fn file_id(&self) -> InMemoryLayerFileId {
self.file_id
}
pub(crate) fn get_timeline_id(&self) -> TimelineId {
self.timeline_id
}
pub(crate) fn info(&self) -> InMemoryLayerInfo {
let lsn_start = self.start_lsn;
if let Some(&lsn_end) = self.end_lsn.get() {
InMemoryLayerInfo::Frozen { lsn_start, lsn_end }
} else {
InMemoryLayerInfo::Open { lsn_start }
}
}
pub(crate) fn try_len(&self) -> Option<u64> {
self.inner.try_read().map(|i| i.file.len()).ok()
}
pub(crate) fn assert_writable(&self) {
assert!(self.end_lsn.get().is_none());
}
pub(crate) fn end_lsn_or_max(&self) -> Lsn {
self.end_lsn.get().copied().unwrap_or(Lsn::MAX)
}
pub(crate) fn get_lsn_range(&self) -> Range<Lsn> {
self.start_lsn..self.end_lsn_or_max()
}
/// debugging function to print out the contents of the layer
///
/// this is likely completly unused
pub async fn dump(&self, _verbose: bool, _ctx: &RequestContext) -> Result<()> {
let end_str = self.end_lsn_or_max();
println!(
"----- in-memory layer for tli {} LSNs {}-{} ----",
self.timeline_id, self.start_lsn, end_str,
);
Ok(())
}
// Look up the keys in the provided keyspace and update
// the reconstruct state with whatever is found.
//
// If the key is cached, go no further than the cached Lsn.
pub(crate) async fn get_values_reconstruct_data(
&self,
keyspace: KeySpace,
end_lsn: Lsn,
reconstruct_state: &mut ValuesReconstructState,
ctx: &RequestContext,
) -> Result<(), GetVectoredError> {
let ctx = RequestContextBuilder::extend(ctx)
.page_content_kind(PageContentKind::InMemoryLayer)
.build();
let inner = self.inner.read().await;
let reader = inner.file.block_cursor();
for range in keyspace.ranges.iter() {
for (key, vec_map) in inner
.index
.range(range.start.to_compact()..range.end.to_compact())
{
let key = Key::from_compact(*key);
let lsn_range = match reconstruct_state.get_cached_lsn(&key) {
Some(cached_lsn) => (cached_lsn + 1)..end_lsn,
None => self.start_lsn..end_lsn,
};
let slice = vec_map.slice_range(lsn_range);
for (entry_lsn, pos) in slice.iter().rev() {
// TODO: this uses the page cache => https://github.com/neondatabase/neon/issues/8183
let buf = reader.read_blob(*pos, &ctx).await;
if let Err(e) = buf {
reconstruct_state.on_key_error(key, PageReconstructError::from(anyhow!(e)));
break;
}
let value = Value::des(&buf.unwrap());
if let Err(e) = value {
reconstruct_state.on_key_error(key, PageReconstructError::from(anyhow!(e)));
break;
}
let key_situation =
reconstruct_state.update_key(&key, *entry_lsn, value.unwrap());
if key_situation == ValueReconstructSituation::Complete {
break;
}
}
}
}
reconstruct_state.on_lsn_advanced(&keyspace, self.start_lsn);
Ok(())
}
}
/// Offset of a particular Value within a serialized batch.
struct SerializedBatchOffset {
key: CompactKey,
lsn: Lsn,
/// offset in bytes from the start of the batch's buffer to the Value's serialized size header.
offset: u64,
}
pub struct SerializedBatch {
/// Blobs serialized in EphemeralFile's native format, ready for passing to [`EphemeralFile::write_raw`].
pub(crate) raw: Vec<u8>,
/// Index of values in [`Self::raw`], using offsets relative to the start of the buffer.
offsets: Vec<SerializedBatchOffset>,
/// The highest LSN of any value in the batch
pub(crate) max_lsn: Lsn,
}
impl SerializedBatch {
/// Write a blob length in the internal format of the EphemeralFile
pub(crate) fn write_blob_length(len: usize, cursor: &mut std::io::Cursor<Vec<u8>>) {
use std::io::Write;
if len < 0x80 {
// short one-byte length header
let len_buf = [len as u8];
cursor
.write_all(&len_buf)
.expect("Writing to Vec is infallible");
} else {
let mut len_buf = u32::to_be_bytes(len as u32);
len_buf[0] |= 0x80;
cursor
.write_all(&len_buf)
.expect("Writing to Vec is infallible");
}
}
pub fn from_values(batch: Vec<(CompactKey, Lsn, usize, Value)>) -> Self {
// Pre-allocate a big flat buffer to write into. This should be large but not huge: it is soft-limited in practice by
// [`crate::pgdatadir_mapping::DatadirModification::MAX_PENDING_BYTES`]
let buffer_size = batch.iter().map(|i| i.2).sum::<usize>() + 4 * batch.len();
let mut cursor = std::io::Cursor::new(Vec::<u8>::with_capacity(buffer_size));
let mut offsets: Vec<SerializedBatchOffset> = Vec::with_capacity(batch.len());
let mut max_lsn: Lsn = Lsn(0);
for (key, lsn, val_ser_size, val) in batch {
let relative_off = cursor.position();
Self::write_blob_length(val_ser_size, &mut cursor);
val.ser_into(&mut cursor)
.expect("Writing into in-memory buffer is infallible");
offsets.push(SerializedBatchOffset {
key,
lsn,
offset: relative_off,
});
max_lsn = std::cmp::max(max_lsn, lsn);
}
let buffer = cursor.into_inner();
// Assert that we didn't do any extra allocations while building buffer.
debug_assert!(buffer.len() <= buffer_size);
Self {
raw: buffer,
offsets,
max_lsn,
}
}
}
fn inmem_layer_display(mut f: impl Write, start_lsn: Lsn, end_lsn: Lsn) -> std::fmt::Result {
write!(f, "inmem-{:016X}-{:016X}", start_lsn.0, end_lsn.0)
}
fn inmem_layer_log_display(
mut f: impl Write,
timeline: TimelineId,
start_lsn: Lsn,
end_lsn: Lsn,
) -> std::fmt::Result {
write!(f, "timeline {} in-memory ", timeline)?;
inmem_layer_display(f, start_lsn, end_lsn)
}
impl std::fmt::Display for InMemoryLayer {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
let end_lsn = self.end_lsn_or_max();
inmem_layer_display(f, self.start_lsn, end_lsn)
}
}
impl InMemoryLayer {
/// Get layer size.
pub async fn size(&self) -> Result<u64> {
let inner = self.inner.read().await;
Ok(inner.file.len())
}
/// Create a new, empty, in-memory layer
pub async fn create(
conf: &'static PageServerConf,
timeline_id: TimelineId,
tenant_shard_id: TenantShardId,
start_lsn: Lsn,
gate_guard: utils::sync::gate::GateGuard,
ctx: &RequestContext,
) -> Result<InMemoryLayer> {
trace!("initializing new empty InMemoryLayer for writing on timeline {timeline_id} at {start_lsn}");
let file =
EphemeralFile::create(conf, tenant_shard_id, timeline_id, gate_guard, ctx).await?;
let key = InMemoryLayerFileId(file.page_cache_file_id());
Ok(InMemoryLayer {
file_id: key,
frozen_local_path_str: OnceLock::new(),
conf,
timeline_id,
tenant_shard_id,
start_lsn,
end_lsn: OnceLock::new(),
opened_at: Instant::now(),
inner: RwLock::new(InMemoryLayerInner {
index: BTreeMap::new(),
file,
resource_units: GlobalResourceUnits::new(),
}),
})
}
// Write path.
pub async fn put_batch(
&self,
serialized_batch: SerializedBatch,
ctx: &RequestContext,
) -> Result<()> {
let mut inner = self.inner.write().await;
self.assert_writable();
let base_off = {
inner
.file
.write_raw(
&serialized_batch.raw,
&RequestContextBuilder::extend(ctx)
.page_content_kind(PageContentKind::InMemoryLayer)
.build(),
)
.await?
};
for SerializedBatchOffset {
key,
lsn,
offset: relative_off,
} in serialized_batch.offsets
{
let off = base_off + relative_off;
let vec_map = inner.index.entry(key).or_default();
let old = vec_map.append_or_update_last(lsn, off).unwrap().0;
if old.is_some() {
// We already had an entry for this LSN. That's odd..
warn!("Key {} at {} already exists", key, lsn);
}
}
let size = inner.file.len();
inner.resource_units.maybe_publish_size(size);
Ok(())
}
pub(crate) fn get_opened_at(&self) -> Instant {
self.opened_at
}
pub(crate) async fn tick(&self) -> Option<u64> {
let mut inner = self.inner.write().await;
let size = inner.file.len();
inner.resource_units.publish_size(size)
}
pub(crate) async fn put_tombstones(&self, _key_ranges: &[(Range<Key>, Lsn)]) -> Result<()> {
// TODO: Currently, we just leak the storage for any deleted keys
Ok(())
}
/// Records the end_lsn for non-dropped layers.
/// `end_lsn` is exclusive
pub async fn freeze(&self, end_lsn: Lsn) {
assert!(
self.start_lsn < end_lsn,
"{} >= {}",
self.start_lsn,
end_lsn
);
self.end_lsn.set(end_lsn).expect("end_lsn set only once");
self.frozen_local_path_str
.set({
let mut buf = String::new();
inmem_layer_log_display(&mut buf, self.get_timeline_id(), self.start_lsn, end_lsn)
.unwrap();
buf.into()
})
.expect("frozen_local_path_str set only once");
#[cfg(debug_assertions)]
{
let inner = self.inner.write().await;
for vec_map in inner.index.values() {
for (lsn, _pos) in vec_map.as_slice() {
assert!(*lsn < end_lsn);
}
}
}
}
/// Write this frozen in-memory layer to disk. If `key_range` is set, the delta
/// layer will only contain the key range the user specifies, and may return `None`
/// if there are no matching keys.
///
/// Returns a new delta layer with all the same data as this in-memory layer
pub async fn write_to_disk(
&self,
ctx: &RequestContext,
key_range: Option<Range<Key>>,
l0_flush_global_state: &l0_flush::Inner,
) -> Result<Option<(PersistentLayerDesc, Utf8PathBuf)>> {
// Grab the lock in read-mode. We hold it over the I/O, but because this
// layer is not writeable anymore, no one should be trying to acquire the
// write lock on it, so we shouldn't block anyone. There's one exception
// though: another thread might have grabbed a reference to this layer
// in `get_layer_for_write' just before the checkpointer called
// `freeze`, and then `write_to_disk` on it. When the thread gets the
// lock, it will see that it's not writeable anymore and retry, but it
// would have to wait until we release it. That race condition is very
// rare though, so we just accept the potential latency hit for now.
let inner = self.inner.read().await;
use l0_flush::Inner;
let _concurrency_permit = match l0_flush_global_state {
Inner::Direct { semaphore, .. } => Some(semaphore.acquire().await),
};
let end_lsn = *self.end_lsn.get().unwrap();
let key_count = if let Some(key_range) = key_range {
let key_range = key_range.start.to_compact()..key_range.end.to_compact();
inner
.index
.iter()
.filter(|(k, _)| key_range.contains(k))
.count()
} else {
inner.index.len()
};
if key_count == 0 {
return Ok(None);
}
let mut delta_layer_writer = DeltaLayerWriter::new(
self.conf,
self.timeline_id,
self.tenant_shard_id,
Key::MIN,
self.start_lsn..end_lsn,
ctx,
)
.await?;
match l0_flush_global_state {
l0_flush::Inner::Direct { .. } => {
let file_contents: Vec<u8> = inner.file.load_to_vec(ctx).await?;
assert_eq!(
file_contents.len() % PAGE_SZ,
0,
"needed by BlockReaderRef::Slice"
);
assert_eq!(file_contents.len(), {
let written = usize::try_from(inner.file.len()).unwrap();
if written % PAGE_SZ == 0 {
written
} else {
written.checked_add(PAGE_SZ - (written % PAGE_SZ)).unwrap()
}
});
let cursor = BlockCursor::new(BlockReaderRef::Slice(&file_contents));
let mut buf = Vec::new();
for (key, vec_map) in inner.index.iter() {
// Write all page versions
for (lsn, pos) in vec_map.as_slice() {
// TODO: once we have blob lengths in the in-memory index, we can
// 1. get rid of the blob_io / BlockReaderRef::Slice business and
// 2. load the file contents into a Bytes and
// 3. the use `Bytes::slice` to get the `buf` that is our blob
// 4. pass that `buf` into `put_value_bytes`
// => https://github.com/neondatabase/neon/issues/8183
cursor.read_blob_into_buf(*pos, &mut buf, ctx).await?;
let will_init = Value::des(&buf)?.will_init();
let (tmp, res) = delta_layer_writer
.put_value_bytes(
Key::from_compact(*key),
*lsn,
buf.slice_len(),
will_init,
ctx,
)
.await;
res?;
buf = tmp.into_raw_slice().into_inner();
}
}
}
}
// MAX is used here because we identify L0 layers by full key range
let (desc, path) = delta_layer_writer.finish(Key::MAX, ctx).await?;
// Hold the permit until all the IO is done, including the fsync in `delta_layer_writer.finish()``.
//
// If we didn't and our caller drops this future, tokio-epoll-uring would extend the lifetime of
// the `file_contents: Vec<u8>` until the IO is done, but not the permit's lifetime.
// Thus, we'd have more concurrenct `Vec<u8>` in existence than the semaphore allows.
//
// We hold across the fsync so that on ext4 mounted with data=ordered, all the kernel page cache pages
// we dirtied when writing to the filesystem have been flushed and marked !dirty.
drop(_concurrency_permit);
Ok(Some((desc, path)))
}
}