Files
neon/pageserver/src/tenant/storage_layer/image_layer.rs
Vlad Lazar 414ed82c1f pageserver: issue concurrent IO on the read path (#9353)
## Refs

- Epic: https://github.com/neondatabase/neon/issues/9378

Co-authored-by: Vlad Lazar <vlad@neon.tech>
Co-authored-by: Christian Schwarz <christian@neon.tech>

## Problem

The read path does its IOs sequentially.
This means that if N values need to be read to reconstruct a page,
we will do N IOs and getpage latency is `O(N*IoLatency)`.

## Solution

With this PR we gain the ability to issue IO concurrently within one
layer visit **and** to move on to the next layer without waiting for IOs
from the previous visit to complete.

This is an evolved version of the work done at the Lisbon hackathon,
cf https://github.com/neondatabase/neon/pull/9002.

## Design

### `will_init` now sourced from disk btree index keys

On the algorithmic level, the only change is that the
`get_values_reconstruct_data`
now sources `will_init` from the disk btree index key (which is
PS-page_cache'd), instead
of from the `Value`, which is only available after the IO completes.

### Concurrent IOs, Submission & Completion 

To separate IO submission from waiting for its completion, while
simultaneously
feature-gating the change, we introduce the notion of an `IoConcurrency`
struct
through which IO futures are "spawned".

An IO is an opaque future, and waiting for completions is handled
through
`tokio::sync::oneshot` channels.
The oneshot Receiver's take the place of the `img` and `records` fields
inside `VectoredValueReconstructState`.

When we're done visiting all the layers and submitting all the IOs along
the way
we concurrently `collect_pending_ios` for each value, which means
for each value there is a future that awaits all the oneshot receivers
and then calls into walredo to reconstruct the page image.
Walredo is now invoked concurrently for each value instead of
sequentially.
Walredo itself remains unchanged.

The spawned IO futures are driven to completion by a sidecar tokio task
that
is separate from the task that performs all the layer visiting and
spawning of IOs.
That tasks receives the IO futures via an unbounded mpsc channel and
drives them to completion inside a `FuturedUnordered`.

(The behavior from before this PR is available through
`IoConcurrency::Sequential`,
which awaits the IO futures in place, without "spawning" or "submitting"
them
anywhere.)

#### Alternatives Explored

A few words on the rationale behind having a sidecar *task* and what
alternatives were considered.

One option is to queue up all IO futures in a FuturesUnordered that is
polled
the first time when we `collect_pending_ios`.

Firstly, the IO futures are opaque, compiler-generated futures that need
to be polled at least once to submit their IO. "At least once" because
tokio-epoll-uring may not be able to submit the IO to the kernel on
first
poll right away.

Second, there are deadlocks if we don't drive the IO futures to
completion
independently of the spawning task.
The reason is that both the IO futures and the spawning task may hold
some
_and_ try to acquire _more_ shared limited resources.
For example, both spawning task and IO future may try to acquire
* a VirtualFile file descriptor cache slot async mutex (observed during
impl)
* a tokio-epoll-uring submission slot (observed during impl)
* a PageCache slot (currently this is not the case but we may move more
code into the IO futures in the future)

Another option is to spawn a short-lived `tokio::task` for each IO
future.
We implemented and benchmarked it during development, but found little
throughput improvement and moderate mean & tail latency degradation.
Concerns about pressure on the tokio scheduler made us discard this
variant.

The sidecar task could be obsoleted if the IOs were not arbitrary code
but a well-defined struct.
However,
1. the opaque futures approach taken in this PR allows leaving the
existing
   code unchanged, which
2. allows us to implement the `IoConcurrency::Sequential` mode for
feature-gating
   the change.

Once the new mode sidecar task implementation is rolled out everywhere,
and `::Sequential` removed, we can think about a descriptive submission
& completion interface.
The problems around deadlocks pointed out earlier will need to be solved
then.
For example, we could eliminate VirtualFile file descriptor cache and
tokio-epoll-uring slots.
The latter has been drafted in
https://github.com/neondatabase/tokio-epoll-uring/pull/63.

See the lengthy doc comment on `spawn_io()` for more details.

### Error handling

There are two error classes during reconstruct data retrieval:
* traversal errors: index lookup, move to next layer, and the like
* value read IO errors

A traversal error fails the entire get_vectored request, as before this
PR.
A value read error only fails that value.

In any case, we preserve the existing behavior that once
`get_vectored` returns, all IOs are done. Panics and failing
to poll `get_vectored` to completion will leave the IOs dangling,
which is safe but shouldn't happen, and so, a rate-limited
log statement will be emitted at warning level.
There is a doc comment on `collect_pending_ios` giving more code-level
details and rationale.

### Feature Gating

The new behavior is opt-in via pageserver config.
The `Sequential` mode is the default.
The only significant change in `Sequential` mode compared to before
this PR is the buffering of results in the `oneshot`s.

## Code-Level Changes

Prep work:
  * Make `GateGuard` clonable.

Core Feature:
* Traversal code: track  `will_init` in `BlobMeta` and source it from
the Delta/Image/InMemory layer index, instead of determining `will_init`
  after we've read the value. This avoids having to read the value to
  determine whether traversal can stop.
* Introduce `IoConcurrency` & its sidecar task.
  * `IoConcurrency` is the clonable handle.
  * It connects to the sidecar task via an `mpsc`.
* Plumb through `IoConcurrency` from high level code to the
  individual layer implementations' `get_values_reconstruct_data`.
  We piggy-back on the `ValuesReconstructState` for this.
   * The sidecar task should be long-lived, so, `IoConcurrency` needs
     to be rooted up "high" in the call stack.
   * Roots as of this PR:
     * `page_service`: outside of pagestream loop
     * `create_image_layers`: when it is called
     * `basebackup`(only auxfiles + replorigin + SLRU segments)
   * Code with no roots that uses `IoConcurrency::sequential`
     * any `Timeline::get` call
       * `collect_keyspace` is a good example
       * follow-up: https://github.com/neondatabase/neon/issues/10460
* `TimelineAdaptor` code used by the compaction simulator, unused in
practive
     * `ingest_xlog_dbase_create`
* Transform Delta/Image/InMemoryLayer to
  * do their values IO in a distinct `async {}` block
  * extend the residence of the Delta/Image layer until the IO is done
  * buffer their results in a `oneshot` channel instead of straight
    in `ValuesReconstructState` 
* the `oneshot` channel is wrapped in `OnDiskValueIo` /
`OnDiskValueIoWaiter`
    types that aid in expressiveness and are used to keep track of
    in-flight IOs so we can print warnings if we leave them dangling.
* Change `ValuesReconstructState` to hold the receiving end of the
 `oneshot` channel aka `OnDiskValueIoWaiter`.
* Change `get_vectored_impl` to `collect_pending_ios` and issue walredo
concurrently, in a `FuturesUnordered`.

Testing / Benchmarking:
* Support queue-depth in pagebench for manual benchmarkinng.
* Add test suite support for setting concurrency mode ps config
   field via a) an env var and b) via NeonEnvBuilder.
* Hacky helper to have sidecar-based IoConcurrency in tests.
   This will be cleaned up later.

More benchmarking will happen post-merge in nightly benchmarks, plus in
staging/pre-prod.
Some intermediate helpers for manual benchmarking have been preserved in
https://github.com/neondatabase/neon/pull/10466 and will be landed in
later PRs.
(L0 layer stack generator!)

Drive-By:
* test suite actually didn't enable batching by default because
`config.compatibility_neon_binpath` is always Truthy in our CI
environment
  => https://neondb.slack.com/archives/C059ZC138NR/p1737490501941309
* initial logical size calculation wasn't always polled to completion,
which was
  surfaced through the added WARN logs emitted when dropping a 
  `ValuesReconstructState` that still has inflight IOs.
* remove the timing histograms
`pageserver_getpage_get_reconstruct_data_seconds`
and `pageserver_getpage_reconstruct_seconds` because with planning,
value read
IO, and walredo happening concurrently, one can no longer attribute
latency
to any one of them; we'll revisit this when Vlad's work on
tracing/sampling
  through RequestContext lands.
* remove code related to `get_cached_lsn()`.
  The logic around this has been dead at runtime for a long time,
  ever since the removal of the materialized page cache in #8105.

## Testing

Unit tests use the sidecar task by default and run both modes in CI.
Python regression tests and benchmarks also use the sidecar task by
default.
We'll test more in staging and possibly preprod.

# Future Work

Please refer to the parent epic for the full plan.

The next step will be to fold the plumbing of IoConcurrency
into RequestContext so that the function signatures get cleaned up.

Once `Sequential` isn't used anymore, we can take the next
big leap which is replacing the opaque IOs with structs
that have well-defined semantics.

---------

Co-authored-by: Christian Schwarz <christian@neon.tech>
2025-01-22 15:30:23 +00:00

1448 lines
48 KiB
Rust

//! An ImageLayer represents an image or a snapshot of a key-range at
//! one particular LSN.
//!
//! It contains an image of all key-value pairs in its key-range. Any key
//! that falls into the image layer's range but does not exist in the layer,
//! does not exist.
//!
//! An image layer is stored in a file on disk. The file is stored in
//! timelines/<timeline_id> directory. Currently, there are no
//! subdirectories, and each image layer file is named like this:
//!
//! ```text
//! <key start>-<key end>__<LSN>
//! ```
//!
//! For example:
//!
//! ```text
//! 000000067F000032BE0000400000000070B6-000000067F000032BE0000400000000080B6__00000000346BC568
//! ```
//!
//! Every image layer file consists of three parts: "summary",
//! "index", and "values". The summary is a fixed size header at the
//! beginning of the file, and it contains basic information about the
//! layer, and offsets to the other parts. The "index" is a B-tree,
//! mapping from Key to an offset in the "values" part. The
//! actual page images are stored in the "values" part.
use crate::config::PageServerConf;
use crate::context::{PageContentKind, RequestContext, RequestContextBuilder};
use crate::page_cache::{self, FileId, PAGE_SZ};
use crate::tenant::blob_io::BlobWriter;
use crate::tenant::block_io::{BlockBuf, FileBlockReader};
use crate::tenant::disk_btree::{
DiskBtreeBuilder, DiskBtreeIterator, DiskBtreeReader, VisitDirection,
};
use crate::tenant::timeline::GetVectoredError;
use crate::tenant::vectored_blob_io::{
BlobFlag, BufView, StreamingVectoredReadPlanner, VectoredBlobReader, VectoredRead,
VectoredReadPlanner,
};
use crate::virtual_file::owned_buffers_io::io_buf_ext::IoBufExt;
use crate::virtual_file::IoBufferMut;
use crate::virtual_file::{self, MaybeFatalIo, VirtualFile};
use crate::{IMAGE_FILE_MAGIC, STORAGE_FORMAT_VERSION, TEMP_FILE_SUFFIX};
use anyhow::{bail, ensure, Context, Result};
use bytes::Bytes;
use camino::{Utf8Path, Utf8PathBuf};
use hex;
use itertools::Itertools;
use pageserver_api::config::MaxVectoredReadBytes;
use pageserver_api::key::DBDIR_KEY;
use pageserver_api::key::{Key, KEY_SIZE};
use pageserver_api::keyspace::KeySpace;
use pageserver_api::shard::{ShardIdentity, TenantShardId};
use pageserver_api::value::Value;
use rand::{distributions::Alphanumeric, Rng};
use serde::{Deserialize, Serialize};
use std::collections::{HashMap, VecDeque};
use std::fs::File;
use std::io::SeekFrom;
use std::ops::Range;
use std::os::unix::prelude::FileExt;
use std::str::FromStr;
use std::sync::Arc;
use tokio::sync::OnceCell;
use tokio_stream::StreamExt;
use tracing::*;
use utils::{
bin_ser::BeSer,
id::{TenantId, TimelineId},
lsn::Lsn,
};
use super::layer_name::ImageLayerName;
use super::{
AsLayerDesc, LayerName, OnDiskValue, OnDiskValueIo, PersistentLayerDesc, ResidentLayer,
ValuesReconstructState,
};
///
/// Header stored in the beginning of the file
///
/// After this comes the 'values' part, starting on block 1. After that,
/// the 'index' starts at the block indicated by 'index_start_blk'
///
#[derive(Debug, Serialize, Deserialize, PartialEq, Eq)]
pub struct Summary {
/// Magic value to identify this as a neon image file. Always IMAGE_FILE_MAGIC.
pub magic: u16,
pub format_version: u16,
pub tenant_id: TenantId,
pub timeline_id: TimelineId,
pub key_range: Range<Key>,
pub lsn: Lsn,
/// Block number where the 'index' part of the file begins.
pub index_start_blk: u32,
/// Block within the 'index', where the B-tree root page is stored
pub index_root_blk: u32,
// the 'values' part starts after the summary header, on block 1.
}
impl From<&ImageLayer> for Summary {
fn from(layer: &ImageLayer) -> Self {
Self::expected(
layer.desc.tenant_shard_id.tenant_id,
layer.desc.timeline_id,
layer.desc.key_range.clone(),
layer.lsn,
)
}
}
impl Summary {
pub(super) fn expected(
tenant_id: TenantId,
timeline_id: TimelineId,
key_range: Range<Key>,
lsn: Lsn,
) -> Self {
Self {
magic: IMAGE_FILE_MAGIC,
format_version: STORAGE_FORMAT_VERSION,
tenant_id,
timeline_id,
key_range,
lsn,
index_start_blk: 0,
index_root_blk: 0,
}
}
}
/// This is used only from `pagectl`. Within pageserver, all layers are
/// [`crate::tenant::storage_layer::Layer`], which can hold an [`ImageLayerInner`].
pub struct ImageLayer {
path: Utf8PathBuf,
pub desc: PersistentLayerDesc,
// This entry contains an image of all pages as of this LSN, should be the same as desc.lsn
pub lsn: Lsn,
inner: OnceCell<ImageLayerInner>,
}
impl std::fmt::Debug for ImageLayer {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
use super::RangeDisplayDebug;
f.debug_struct("ImageLayer")
.field("key_range", &RangeDisplayDebug(&self.desc.key_range))
.field("file_size", &self.desc.file_size)
.field("lsn", &self.lsn)
.field("inner", &self.inner)
.finish()
}
}
/// ImageLayer is the in-memory data structure associated with an on-disk image
/// file.
pub struct ImageLayerInner {
// values copied from summary
index_start_blk: u32,
index_root_blk: u32,
key_range: Range<Key>,
lsn: Lsn,
file: Arc<VirtualFile>,
file_id: FileId,
max_vectored_read_bytes: Option<MaxVectoredReadBytes>,
}
impl ImageLayerInner {
pub(crate) fn layer_dbg_info(&self) -> String {
format!(
"image {}..{} {}",
self.key_range().start,
self.key_range().end,
self.lsn()
)
}
}
impl std::fmt::Debug for ImageLayerInner {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
f.debug_struct("ImageLayerInner")
.field("index_start_blk", &self.index_start_blk)
.field("index_root_blk", &self.index_root_blk)
.finish()
}
}
impl ImageLayerInner {
pub(super) async fn dump(&self, ctx: &RequestContext) -> anyhow::Result<()> {
let block_reader = FileBlockReader::new(&self.file, self.file_id);
let tree_reader = DiskBtreeReader::<_, KEY_SIZE>::new(
self.index_start_blk,
self.index_root_blk,
block_reader,
);
tree_reader.dump().await?;
tree_reader
.visit(
&[0u8; KEY_SIZE],
VisitDirection::Forwards,
|key, value| {
println!("key: {} offset {}", hex::encode(key), value);
true
},
ctx,
)
.await?;
Ok(())
}
}
/// Boilerplate to implement the Layer trait, always use layer_desc for persistent layers.
impl std::fmt::Display for ImageLayer {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(f, "{}", self.layer_desc().short_id())
}
}
impl AsLayerDesc for ImageLayer {
fn layer_desc(&self) -> &PersistentLayerDesc {
&self.desc
}
}
impl ImageLayer {
pub async fn dump(&self, verbose: bool, ctx: &RequestContext) -> Result<()> {
self.desc.dump();
if !verbose {
return Ok(());
}
let inner = self.load(ctx).await?;
inner.dump(ctx).await?;
Ok(())
}
fn temp_path_for(
conf: &PageServerConf,
timeline_id: TimelineId,
tenant_shard_id: TenantShardId,
fname: &ImageLayerName,
) -> Utf8PathBuf {
let rand_string: String = rand::thread_rng()
.sample_iter(&Alphanumeric)
.take(8)
.map(char::from)
.collect();
conf.timeline_path(&tenant_shard_id, &timeline_id)
.join(format!("{fname}.{rand_string}.{TEMP_FILE_SUFFIX}"))
}
///
/// Open the underlying file and read the metadata into memory, if it's
/// not loaded already.
///
async fn load(&self, ctx: &RequestContext) -> Result<&ImageLayerInner> {
self.inner
.get_or_try_init(|| self.load_inner(ctx))
.await
.with_context(|| format!("Failed to load image layer {}", self.path()))
}
async fn load_inner(&self, ctx: &RequestContext) -> Result<ImageLayerInner> {
let path = self.path();
let loaded =
ImageLayerInner::load(&path, self.desc.image_layer_lsn(), None, None, ctx).await?;
// not production code
let actual_layer_name = LayerName::from_str(path.file_name().unwrap()).unwrap();
let expected_layer_name = self.layer_desc().layer_name();
if actual_layer_name != expected_layer_name {
println!("warning: filename does not match what is expected from in-file summary");
println!("actual: {:?}", actual_layer_name.to_string());
println!("expected: {:?}", expected_layer_name.to_string());
}
Ok(loaded)
}
/// Create an ImageLayer struct representing an existing file on disk.
///
/// This variant is only used for debugging purposes, by the 'pagectl' binary.
pub fn new_for_path(path: &Utf8Path, file: File) -> Result<ImageLayer> {
let mut summary_buf = vec![0; PAGE_SZ];
file.read_exact_at(&mut summary_buf, 0)?;
let summary = Summary::des_prefix(&summary_buf)?;
let metadata = file
.metadata()
.context("get file metadata to determine size")?;
// This function is never used for constructing layers in a running pageserver,
// so it does not need an accurate TenantShardId.
let tenant_shard_id = TenantShardId::unsharded(summary.tenant_id);
Ok(ImageLayer {
path: path.to_path_buf(),
desc: PersistentLayerDesc::new_img(
tenant_shard_id,
summary.timeline_id,
summary.key_range,
summary.lsn,
metadata.len(),
), // Now we assume image layer ALWAYS covers the full range. This may change in the future.
lsn: summary.lsn,
inner: OnceCell::new(),
})
}
fn path(&self) -> Utf8PathBuf {
self.path.clone()
}
}
#[derive(thiserror::Error, Debug)]
pub enum RewriteSummaryError {
#[error("magic mismatch")]
MagicMismatch,
#[error(transparent)]
Other(#[from] anyhow::Error),
}
impl From<std::io::Error> for RewriteSummaryError {
fn from(e: std::io::Error) -> Self {
Self::Other(anyhow::anyhow!(e))
}
}
impl ImageLayer {
pub async fn rewrite_summary<F>(
path: &Utf8Path,
rewrite: F,
ctx: &RequestContext,
) -> Result<(), RewriteSummaryError>
where
F: Fn(Summary) -> Summary,
{
let mut file = VirtualFile::open_with_options(
path,
virtual_file::OpenOptions::new().read(true).write(true),
ctx,
)
.await
.with_context(|| format!("Failed to open file '{}'", path))?;
let file_id = page_cache::next_file_id();
let block_reader = FileBlockReader::new(&file, file_id);
let summary_blk = block_reader.read_blk(0, ctx).await?;
let actual_summary = Summary::des_prefix(summary_blk.as_ref()).context("deserialize")?;
if actual_summary.magic != IMAGE_FILE_MAGIC {
return Err(RewriteSummaryError::MagicMismatch);
}
let new_summary = rewrite(actual_summary);
let mut buf = Vec::with_capacity(PAGE_SZ);
// TODO: could use smallvec here but it's a pain with Slice<T>
Summary::ser_into(&new_summary, &mut buf).context("serialize")?;
file.seek(SeekFrom::Start(0)).await?;
let (_buf, res) = file.write_all(buf.slice_len(), ctx).await;
res?;
Ok(())
}
}
impl ImageLayerInner {
pub(crate) fn key_range(&self) -> &Range<Key> {
&self.key_range
}
pub(crate) fn lsn(&self) -> Lsn {
self.lsn
}
pub(super) async fn load(
path: &Utf8Path,
lsn: Lsn,
summary: Option<Summary>,
max_vectored_read_bytes: Option<MaxVectoredReadBytes>,
ctx: &RequestContext,
) -> anyhow::Result<Self> {
let file = Arc::new(
VirtualFile::open_v2(path, ctx)
.await
.context("open layer file")?,
);
let file_id = page_cache::next_file_id();
let block_reader = FileBlockReader::new(&file, file_id);
let summary_blk = block_reader
.read_blk(0, ctx)
.await
.context("read first block")?;
// length is the only way how this could fail, so it's not actually likely at all unless
// read_blk returns wrong sized block.
//
// TODO: confirm and make this into assertion
let actual_summary =
Summary::des_prefix(summary_blk.as_ref()).context("deserialize first block")?;
if let Some(mut expected_summary) = summary {
// production code path
expected_summary.index_start_blk = actual_summary.index_start_blk;
expected_summary.index_root_blk = actual_summary.index_root_blk;
// mask out the timeline_id, but still require the layers to be from the same tenant
expected_summary.timeline_id = actual_summary.timeline_id;
if actual_summary != expected_summary {
bail!(
"in-file summary does not match expected summary. actual = {:?} expected = {:?}",
actual_summary,
expected_summary
);
}
}
Ok(ImageLayerInner {
index_start_blk: actual_summary.index_start_blk,
index_root_blk: actual_summary.index_root_blk,
lsn,
file,
file_id,
max_vectored_read_bytes,
key_range: actual_summary.key_range,
})
}
// Look up the keys in the provided keyspace and update
// the reconstruct state with whatever is found.
pub(super) async fn get_values_reconstruct_data(
&self,
this: ResidentLayer,
keyspace: KeySpace,
reconstruct_state: &mut ValuesReconstructState,
ctx: &RequestContext,
) -> Result<(), GetVectoredError> {
let reads = self
.plan_reads(keyspace, None, ctx)
.await
.map_err(GetVectoredError::Other)?;
self.do_reads_and_update_state(this, reads, reconstruct_state, ctx)
.await;
reconstruct_state.on_image_layer_visited(&self.key_range);
Ok(())
}
/// Traverse the layer's index to build read operations on the overlap of the input keyspace
/// and the keys in this layer.
///
/// If shard_identity is provided, it will be used to filter keys down to those stored on
/// this shard.
async fn plan_reads(
&self,
keyspace: KeySpace,
shard_identity: Option<&ShardIdentity>,
ctx: &RequestContext,
) -> anyhow::Result<Vec<VectoredRead>> {
let mut planner = VectoredReadPlanner::new(
self.max_vectored_read_bytes
.expect("Layer is loaded with max vectored bytes config")
.0
.into(),
);
let block_reader = FileBlockReader::new(&self.file, self.file_id);
let tree_reader =
DiskBtreeReader::new(self.index_start_blk, self.index_root_blk, block_reader);
let ctx = RequestContextBuilder::extend(ctx)
.page_content_kind(PageContentKind::ImageLayerBtreeNode)
.build();
for range in keyspace.ranges.iter() {
let mut range_end_handled = false;
let mut search_key: [u8; KEY_SIZE] = [0u8; KEY_SIZE];
range.start.write_to_byte_slice(&mut search_key);
let index_stream = tree_reader.clone().into_stream(&search_key, &ctx);
let mut index_stream = std::pin::pin!(index_stream);
while let Some(index_entry) = index_stream.next().await {
let (raw_key, offset) = index_entry?;
let key = Key::from_slice(&raw_key[..KEY_SIZE]);
assert!(key >= range.start);
let flag = if let Some(shard_identity) = shard_identity {
if shard_identity.is_key_disposable(&key) {
BlobFlag::Ignore
} else {
BlobFlag::None
}
} else {
BlobFlag::None
};
if key >= range.end {
planner.handle_range_end(offset);
range_end_handled = true;
break;
} else {
planner.handle(key, self.lsn, offset, flag);
}
}
if !range_end_handled {
let payload_end = self.index_start_blk as u64 * PAGE_SZ as u64;
planner.handle_range_end(payload_end);
}
}
Ok(planner.finish())
}
/// Given a key range, select the parts of that range that should be retained by the ShardIdentity,
/// then execute vectored GET operations, passing the results of all read keys into the writer.
pub(super) async fn filter(
&self,
shard_identity: &ShardIdentity,
writer: &mut ImageLayerWriter,
ctx: &RequestContext,
) -> anyhow::Result<usize> {
// Fragment the range into the regions owned by this ShardIdentity
let plan = self
.plan_reads(
KeySpace {
// If asked for the total key space, plan_reads will give us all the keys in the layer
ranges: vec![Key::MIN..Key::MAX],
},
Some(shard_identity),
ctx,
)
.await?;
let vectored_blob_reader = VectoredBlobReader::new(&self.file);
let mut key_count = 0;
for read in plan.into_iter() {
let buf_size = read.size();
let buf = IoBufferMut::with_capacity(buf_size);
let blobs_buf = vectored_blob_reader.read_blobs(&read, buf, ctx).await?;
let view = BufView::new_slice(&blobs_buf.buf);
for meta in blobs_buf.blobs.iter() {
let img_buf = meta.read(&view).await?;
key_count += 1;
writer
.put_image(meta.meta.key, img_buf.into_bytes(), ctx)
.await
.context(format!("Storing key {}", meta.meta.key))?;
}
}
Ok(key_count)
}
async fn do_reads_and_update_state(
&self,
this: ResidentLayer,
reads: Vec<VectoredRead>,
reconstruct_state: &mut ValuesReconstructState,
ctx: &RequestContext,
) {
let max_vectored_read_bytes = self
.max_vectored_read_bytes
.expect("Layer is loaded with max vectored bytes config")
.0
.into();
for read in reads.into_iter() {
let mut ios: HashMap<(Key, Lsn), OnDiskValueIo> = Default::default();
for (_, blob_meta) in read.blobs_at.as_slice() {
let io = reconstruct_state.update_key(&blob_meta.key, blob_meta.lsn, true);
ios.insert((blob_meta.key, blob_meta.lsn), io);
}
let buf_size = read.size();
if buf_size > max_vectored_read_bytes {
// If the read is oversized, it should only contain one key.
let offenders = read
.blobs_at
.as_slice()
.iter()
.filter_map(|(_, blob_meta)| {
if blob_meta.key.is_rel_dir_key() || blob_meta.key == DBDIR_KEY {
// The size of values for these keys is unbounded and can
// grow very large in pathological cases.
None
} else {
Some(format!("{}@{}", blob_meta.key, blob_meta.lsn))
}
})
.join(", ");
if !offenders.is_empty() {
tracing::warn!(
"Oversized vectored read ({} > {}) for keys {}",
buf_size,
max_vectored_read_bytes,
offenders
);
}
}
let read_extend_residency = this.clone();
let read_from = self.file.clone();
let read_ctx = ctx.attached_child();
reconstruct_state
.spawn_io(async move {
let buf = IoBufferMut::with_capacity(buf_size);
let vectored_blob_reader = VectoredBlobReader::new(&read_from);
let res = vectored_blob_reader.read_blobs(&read, buf, &read_ctx).await;
match res {
Ok(blobs_buf) => {
let view = BufView::new_slice(&blobs_buf.buf);
for meta in blobs_buf.blobs.iter() {
let io: OnDiskValueIo =
ios.remove(&(meta.meta.key, meta.meta.lsn)).unwrap();
let img_buf = meta.read(&view).await;
let img_buf = match img_buf {
Ok(img_buf) => img_buf,
Err(e) => {
io.complete(Err(e));
continue;
}
};
io.complete(Ok(OnDiskValue::RawImage(img_buf.into_bytes())));
}
assert!(ios.is_empty());
}
Err(err) => {
for (_, io) in ios {
io.complete(Err(std::io::Error::new(
err.kind(),
"vec read failed",
)));
}
}
}
// keep layer resident until this IO is done; this spawned IO future generally outlives the
// call to `self` / the `Arc<DownloadedLayer>` / the `ResidentLayer` that guarantees residency
drop(read_extend_residency);
})
.await;
}
}
pub(crate) fn iter<'a>(&'a self, ctx: &'a RequestContext) -> ImageLayerIterator<'a> {
let block_reader = FileBlockReader::new(&self.file, self.file_id);
let tree_reader =
DiskBtreeReader::new(self.index_start_blk, self.index_root_blk, block_reader);
ImageLayerIterator {
image_layer: self,
ctx,
index_iter: tree_reader.iter(&[0; KEY_SIZE], ctx),
key_values_batch: VecDeque::new(),
is_end: false,
planner: StreamingVectoredReadPlanner::new(
1024 * 8192, // The default value. Unit tests might use a different value. 1024 * 8K = 8MB buffer.
1024, // The default value. Unit tests might use a different value
),
}
}
/// NB: not super efficient, but not terrible either. Should prob be an iterator.
//
// We're reusing the index traversal logical in plan_reads; would be nice to
// factor that out.
pub(crate) async fn load_keys(&self, ctx: &RequestContext) -> anyhow::Result<Vec<Key>> {
let plan = self
.plan_reads(KeySpace::single(self.key_range.clone()), None, ctx)
.await?;
Ok(plan
.into_iter()
.flat_map(|read| read.blobs_at)
.map(|(_, blob_meta)| blob_meta.key)
.collect())
}
}
/// A builder object for constructing a new image layer.
///
/// Usage:
///
/// 1. Create the ImageLayerWriter by calling ImageLayerWriter::new(...)
///
/// 2. Write the contents by calling `put_page_image` for every key-value
/// pair in the key range.
///
/// 3. Call `finish`.
///
struct ImageLayerWriterInner {
conf: &'static PageServerConf,
path: Utf8PathBuf,
timeline_id: TimelineId,
tenant_shard_id: TenantShardId,
key_range: Range<Key>,
lsn: Lsn,
// Total uncompressed bytes passed into put_image
uncompressed_bytes: u64,
// Like `uncompressed_bytes`,
// but only of images we might consider for compression
uncompressed_bytes_eligible: u64,
// Like `uncompressed_bytes`, but only of images
// where we have chosen their compressed form
uncompressed_bytes_chosen: u64,
// Number of keys in the layer.
num_keys: usize,
blob_writer: BlobWriter<false>,
tree: DiskBtreeBuilder<BlockBuf, KEY_SIZE>,
#[cfg(feature = "testing")]
last_written_key: Key,
}
impl ImageLayerWriterInner {
///
/// Start building a new image layer.
///
async fn new(
conf: &'static PageServerConf,
timeline_id: TimelineId,
tenant_shard_id: TenantShardId,
key_range: &Range<Key>,
lsn: Lsn,
ctx: &RequestContext,
) -> anyhow::Result<Self> {
// Create the file initially with a temporary filename.
// We'll atomically rename it to the final name when we're done.
let path = ImageLayer::temp_path_for(
conf,
timeline_id,
tenant_shard_id,
&ImageLayerName {
key_range: key_range.clone(),
lsn,
},
);
trace!("creating image layer {}", path);
let mut file = {
VirtualFile::open_with_options(
&path,
virtual_file::OpenOptions::new()
.write(true)
.create_new(true),
ctx,
)
.await?
};
// make room for the header block
file.seek(SeekFrom::Start(PAGE_SZ as u64)).await?;
let blob_writer = BlobWriter::new(file, PAGE_SZ as u64);
// Initialize the b-tree index builder
let block_buf = BlockBuf::new();
let tree_builder = DiskBtreeBuilder::new(block_buf);
let writer = Self {
conf,
path,
timeline_id,
tenant_shard_id,
key_range: key_range.clone(),
lsn,
tree: tree_builder,
blob_writer,
uncompressed_bytes: 0,
uncompressed_bytes_eligible: 0,
uncompressed_bytes_chosen: 0,
num_keys: 0,
#[cfg(feature = "testing")]
last_written_key: Key::MIN,
};
Ok(writer)
}
///
/// Write next value to the file.
///
/// The page versions must be appended in blknum order.
///
async fn put_image(
&mut self,
key: Key,
img: Bytes,
ctx: &RequestContext,
) -> anyhow::Result<()> {
ensure!(self.key_range.contains(&key));
let compression = self.conf.image_compression;
let uncompressed_len = img.len() as u64;
self.uncompressed_bytes += uncompressed_len;
self.num_keys += 1;
let (_img, res) = self
.blob_writer
.write_blob_maybe_compressed(img.slice_len(), ctx, compression)
.await;
// TODO: re-use the buffer for `img` further upstack
let (off, compression_info) = res?;
if compression_info.compressed_size.is_some() {
// The image has been considered for compression at least
self.uncompressed_bytes_eligible += uncompressed_len;
}
if compression_info.written_compressed {
// The image has been compressed
self.uncompressed_bytes_chosen += uncompressed_len;
}
let mut keybuf: [u8; KEY_SIZE] = [0u8; KEY_SIZE];
key.write_to_byte_slice(&mut keybuf);
self.tree.append(&keybuf, off)?;
#[cfg(feature = "testing")]
{
self.last_written_key = key;
}
Ok(())
}
///
/// Finish writing the image layer.
///
async fn finish(
self,
ctx: &RequestContext,
end_key: Option<Key>,
) -> anyhow::Result<(PersistentLayerDesc, Utf8PathBuf)> {
let temp_path = self.path.clone();
let result = self.finish0(ctx, end_key).await;
if let Err(ref e) = result {
tracing::info!(%temp_path, "cleaning up temporary file after error during writing: {e}");
if let Err(e) = std::fs::remove_file(&temp_path) {
tracing::warn!(error=%e, %temp_path, "error cleaning up temporary layer file after error during writing");
}
}
result
}
///
/// Finish writing the image layer.
///
async fn finish0(
self,
ctx: &RequestContext,
end_key: Option<Key>,
) -> anyhow::Result<(PersistentLayerDesc, Utf8PathBuf)> {
let index_start_blk = self.blob_writer.size().div_ceil(PAGE_SZ as u64) as u32;
// Calculate compression ratio
let compressed_size = self.blob_writer.size() - PAGE_SZ as u64; // Subtract PAGE_SZ for header
crate::metrics::COMPRESSION_IMAGE_INPUT_BYTES.inc_by(self.uncompressed_bytes);
crate::metrics::COMPRESSION_IMAGE_INPUT_BYTES_CONSIDERED
.inc_by(self.uncompressed_bytes_eligible);
crate::metrics::COMPRESSION_IMAGE_INPUT_BYTES_CHOSEN.inc_by(self.uncompressed_bytes_chosen);
crate::metrics::COMPRESSION_IMAGE_OUTPUT_BYTES.inc_by(compressed_size);
let mut file = self.blob_writer.into_inner();
// Write out the index
file.seek(SeekFrom::Start(index_start_blk as u64 * PAGE_SZ as u64))
.await?;
let (index_root_blk, block_buf) = self.tree.finish()?;
for buf in block_buf.blocks {
let (_buf, res) = file.write_all(buf.slice_len(), ctx).await;
res?;
}
let final_key_range = if let Some(end_key) = end_key {
self.key_range.start..end_key
} else {
self.key_range.clone()
};
// Fill in the summary on blk 0
let summary = Summary {
magic: IMAGE_FILE_MAGIC,
format_version: STORAGE_FORMAT_VERSION,
tenant_id: self.tenant_shard_id.tenant_id,
timeline_id: self.timeline_id,
key_range: final_key_range.clone(),
lsn: self.lsn,
index_start_blk,
index_root_blk,
};
let mut buf = Vec::with_capacity(PAGE_SZ);
// TODO: could use smallvec here but it's a pain with Slice<T>
Summary::ser_into(&summary, &mut buf)?;
file.seek(SeekFrom::Start(0)).await?;
let (_buf, res) = file.write_all(buf.slice_len(), ctx).await;
res?;
let metadata = file
.metadata()
.await
.context("get metadata to determine file size")?;
let desc = PersistentLayerDesc::new_img(
self.tenant_shard_id,
self.timeline_id,
final_key_range,
self.lsn,
metadata.len(),
);
#[cfg(feature = "testing")]
if let Some(end_key) = end_key {
assert!(
self.last_written_key < end_key,
"written key violates end_key range"
);
}
// Note: Because we open the file in write-only mode, we cannot
// reuse the same VirtualFile for reading later. That's why we don't
// set inner.file here. The first read will have to re-open it.
// fsync the file
file.sync_all()
.await
.maybe_fatal_err("image_layer sync_all")?;
trace!("created image layer {}", self.path);
Ok((desc, self.path))
}
}
/// A builder object for constructing a new image layer.
///
/// Usage:
///
/// 1. Create the ImageLayerWriter by calling ImageLayerWriter::new(...)
///
/// 2. Write the contents by calling `put_page_image` for every key-value
/// pair in the key range.
///
/// 3. Call `finish`.
///
/// # Note
///
/// As described in <https://github.com/neondatabase/neon/issues/2650>, it's
/// possible for the writer to drop before `finish` is actually called. So this
/// could lead to odd temporary files in the directory, exhausting file system.
/// This structure wraps `ImageLayerWriterInner` and also contains `Drop`
/// implementation that cleans up the temporary file in failure. It's not
/// possible to do this directly in `ImageLayerWriterInner` since `finish` moves
/// out some fields, making it impossible to implement `Drop`.
///
#[must_use]
pub struct ImageLayerWriter {
inner: Option<ImageLayerWriterInner>,
}
impl ImageLayerWriter {
///
/// Start building a new image layer.
///
pub async fn new(
conf: &'static PageServerConf,
timeline_id: TimelineId,
tenant_shard_id: TenantShardId,
key_range: &Range<Key>,
lsn: Lsn,
ctx: &RequestContext,
) -> anyhow::Result<ImageLayerWriter> {
Ok(Self {
inner: Some(
ImageLayerWriterInner::new(conf, timeline_id, tenant_shard_id, key_range, lsn, ctx)
.await?,
),
})
}
///
/// Write next value to the file.
///
/// The page versions must be appended in blknum order.
///
pub async fn put_image(
&mut self,
key: Key,
img: Bytes,
ctx: &RequestContext,
) -> anyhow::Result<()> {
self.inner.as_mut().unwrap().put_image(key, img, ctx).await
}
/// Estimated size of the image layer.
pub(crate) fn estimated_size(&self) -> u64 {
let inner = self.inner.as_ref().unwrap();
inner.blob_writer.size() + inner.tree.borrow_writer().size() + PAGE_SZ as u64
}
pub(crate) fn num_keys(&self) -> usize {
self.inner.as_ref().unwrap().num_keys
}
///
/// Finish writing the image layer.
///
pub(crate) async fn finish(
mut self,
ctx: &RequestContext,
) -> anyhow::Result<(PersistentLayerDesc, Utf8PathBuf)> {
self.inner.take().unwrap().finish(ctx, None).await
}
/// Finish writing the image layer with an end key, used in [`super::batch_split_writer::SplitImageLayerWriter`]. The end key determines the end of the image layer's covered range and is exclusive.
pub(super) async fn finish_with_end_key(
mut self,
end_key: Key,
ctx: &RequestContext,
) -> anyhow::Result<(PersistentLayerDesc, Utf8PathBuf)> {
self.inner.take().unwrap().finish(ctx, Some(end_key)).await
}
}
impl Drop for ImageLayerWriter {
fn drop(&mut self) {
if let Some(inner) = self.inner.take() {
inner.blob_writer.into_inner().remove();
}
}
}
pub struct ImageLayerIterator<'a> {
image_layer: &'a ImageLayerInner,
ctx: &'a RequestContext,
planner: StreamingVectoredReadPlanner,
index_iter: DiskBtreeIterator<'a>,
key_values_batch: VecDeque<(Key, Lsn, Value)>,
is_end: bool,
}
impl ImageLayerIterator<'_> {
pub(crate) fn layer_dbg_info(&self) -> String {
self.image_layer.layer_dbg_info()
}
/// Retrieve a batch of key-value pairs into the iterator buffer.
async fn next_batch(&mut self) -> anyhow::Result<()> {
assert!(self.key_values_batch.is_empty());
assert!(!self.is_end);
let plan = loop {
if let Some(res) = self.index_iter.next().await {
let (raw_key, offset) = res?;
if let Some(batch_plan) = self.planner.handle(
Key::from_slice(&raw_key[..KEY_SIZE]),
self.image_layer.lsn,
offset,
true,
) {
break batch_plan;
}
} else {
self.is_end = true;
let payload_end = self.image_layer.index_start_blk as u64 * PAGE_SZ as u64;
if let Some(item) = self.planner.handle_range_end(payload_end) {
break item;
} else {
return Ok(()); // TODO: a test case on empty iterator
}
}
};
let vectored_blob_reader = VectoredBlobReader::new(&self.image_layer.file);
let mut next_batch = std::collections::VecDeque::new();
let buf_size = plan.size();
let buf = IoBufferMut::with_capacity(buf_size);
let blobs_buf = vectored_blob_reader
.read_blobs(&plan, buf, self.ctx)
.await?;
let view = BufView::new_slice(&blobs_buf.buf);
for meta in blobs_buf.blobs.iter() {
let img_buf = meta.read(&view).await?;
next_batch.push_back((
meta.meta.key,
self.image_layer.lsn,
Value::Image(img_buf.into_bytes()),
));
}
self.key_values_batch = next_batch;
Ok(())
}
pub async fn next(&mut self) -> anyhow::Result<Option<(Key, Lsn, Value)>> {
if self.key_values_batch.is_empty() {
if self.is_end {
return Ok(None);
}
self.next_batch().await?;
}
Ok(Some(
self.key_values_batch
.pop_front()
.expect("should not be empty"),
))
}
}
#[cfg(test)]
mod test {
use std::{sync::Arc, time::Duration};
use bytes::Bytes;
use itertools::Itertools;
use pageserver_api::{
key::Key,
shard::{ShardCount, ShardIdentity, ShardNumber, ShardStripeSize},
value::Value,
};
use utils::{
generation::Generation,
id::{TenantId, TimelineId},
lsn::Lsn,
};
use crate::{
context::RequestContext,
tenant::{
config::TenantConf,
harness::{TenantHarness, TIMELINE_ID},
storage_layer::{Layer, ResidentLayer},
vectored_blob_io::StreamingVectoredReadPlanner,
Tenant, Timeline,
},
DEFAULT_PG_VERSION,
};
use super::{ImageLayerIterator, ImageLayerWriter};
#[tokio::test]
async fn image_layer_rewrite() {
let tenant_conf = TenantConf {
gc_period: Duration::ZERO,
compaction_period: Duration::ZERO,
..TenantConf::default()
};
let tenant_id = TenantId::generate();
let mut gen = Generation::new(0xdead0001);
let mut get_next_gen = || {
let ret = gen;
gen = gen.next();
ret
};
// The LSN at which we will create an image layer to filter
let lsn = Lsn(0xdeadbeef0000);
let timeline_id = TimelineId::generate();
//
// Create an unsharded parent with a layer.
//
let harness = TenantHarness::create_custom(
"test_image_layer_rewrite--parent",
tenant_conf.clone(),
tenant_id,
ShardIdentity::unsharded(),
get_next_gen(),
)
.await
.unwrap();
let (tenant, ctx) = harness.load().await;
let timeline = tenant
.create_test_timeline(timeline_id, lsn, DEFAULT_PG_VERSION, &ctx)
.await
.unwrap();
// This key range contains several 0x8000 page stripes, only one of which belongs to shard zero
let input_start = Key::from_hex("000000067f00000001000000ae0000000000").unwrap();
let input_end = Key::from_hex("000000067f00000001000000ae0000020000").unwrap();
let range = input_start..input_end;
// Build an image layer to filter
let resident = {
let mut writer = ImageLayerWriter::new(
harness.conf,
timeline_id,
harness.tenant_shard_id,
&range,
lsn,
&ctx,
)
.await
.unwrap();
let foo_img = Bytes::from_static(&[1, 2, 3, 4]);
let mut key = range.start;
while key < range.end {
writer.put_image(key, foo_img.clone(), &ctx).await.unwrap();
key = key.next();
}
let (desc, path) = writer.finish(&ctx).await.unwrap();
Layer::finish_creating(tenant.conf, &timeline, desc, &path).unwrap()
};
let original_size = resident.metadata().file_size;
//
// Create child shards and do the rewrite, exercising filter().
// TODO: abstraction in TenantHarness for splits.
//
// Filter for various shards: this exercises cases like values at start of key range, end of key
// range, middle of key range.
let shard_count = ShardCount::new(4);
for shard_number in 0..shard_count.count() {
//
// mimic the shard split
//
let shard_identity = ShardIdentity::new(
ShardNumber(shard_number),
shard_count,
ShardStripeSize(0x8000),
)
.unwrap();
let harness = TenantHarness::create_custom(
Box::leak(Box::new(format!(
"test_image_layer_rewrite--child{}",
shard_identity.shard_slug()
))),
tenant_conf.clone(),
tenant_id,
shard_identity,
// NB: in reality, the shards would each fork off their own gen number sequence from the parent.
// But here, all we care about is that the gen number is unique.
get_next_gen(),
)
.await
.unwrap();
let (tenant, ctx) = harness.load().await;
let timeline = tenant
.create_test_timeline(timeline_id, lsn, DEFAULT_PG_VERSION, &ctx)
.await
.unwrap();
//
// use filter() and make assertions
//
let mut filtered_writer = ImageLayerWriter::new(
harness.conf,
timeline_id,
harness.tenant_shard_id,
&range,
lsn,
&ctx,
)
.await
.unwrap();
let wrote_keys = resident
.filter(&shard_identity, &mut filtered_writer, &ctx)
.await
.unwrap();
let replacement = if wrote_keys > 0 {
let (desc, path) = filtered_writer.finish(&ctx).await.unwrap();
let resident = Layer::finish_creating(tenant.conf, &timeline, desc, &path).unwrap();
Some(resident)
} else {
None
};
// This exact size and those below will need updating as/when the layer encoding changes, but
// should be deterministic for a given version of the format, as we used no randomness generating the input.
assert_eq!(original_size, 1597440);
match shard_number {
0 => {
// We should have written out just one stripe for our shard identity
assert_eq!(wrote_keys, 0x8000);
let replacement = replacement.unwrap();
// We should have dropped some of the data
assert!(replacement.metadata().file_size < original_size);
assert!(replacement.metadata().file_size > 0);
// Assert that we dropped ~3/4 of the data.
assert_eq!(replacement.metadata().file_size, 417792);
}
1 => {
// Shard 1 has no keys in our input range
assert_eq!(wrote_keys, 0x0);
assert!(replacement.is_none());
}
2 => {
// Shard 2 has one stripes in the input range
assert_eq!(wrote_keys, 0x8000);
let replacement = replacement.unwrap();
assert!(replacement.metadata().file_size < original_size);
assert!(replacement.metadata().file_size > 0);
assert_eq!(replacement.metadata().file_size, 417792);
}
3 => {
// Shard 3 has two stripes in the input range
assert_eq!(wrote_keys, 0x10000);
let replacement = replacement.unwrap();
assert!(replacement.metadata().file_size < original_size);
assert!(replacement.metadata().file_size > 0);
assert_eq!(replacement.metadata().file_size, 811008);
}
_ => unreachable!(),
}
}
}
async fn produce_image_layer(
tenant: &Tenant,
tline: &Arc<Timeline>,
mut images: Vec<(Key, Bytes)>,
lsn: Lsn,
ctx: &RequestContext,
) -> anyhow::Result<ResidentLayer> {
images.sort();
let (key_start, _) = images.first().unwrap();
let (key_last, _) = images.last().unwrap();
let key_end = key_last.next();
let key_range = *key_start..key_end;
let mut writer = ImageLayerWriter::new(
tenant.conf,
tline.timeline_id,
tenant.tenant_shard_id,
&key_range,
lsn,
ctx,
)
.await?;
for (key, img) in images {
writer.put_image(key, img, ctx).await?;
}
let (desc, path) = writer.finish(ctx).await?;
let img_layer = Layer::finish_creating(tenant.conf, tline, desc, &path)?;
Ok::<_, anyhow::Error>(img_layer)
}
async fn assert_img_iter_equal(
img_iter: &mut ImageLayerIterator<'_>,
expect: &[(Key, Bytes)],
expect_lsn: Lsn,
) {
let mut expect_iter = expect.iter();
loop {
let o1 = img_iter.next().await.unwrap();
let o2 = expect_iter.next();
match (o1, o2) {
(None, None) => break,
(Some((k1, l1, v1)), Some((k2, i2))) => {
let Value::Image(i1) = v1 else {
panic!("expect Value::Image")
};
assert_eq!(&k1, k2);
assert_eq!(l1, expect_lsn);
assert_eq!(&i1, i2);
}
(o1, o2) => panic!("iterators length mismatch: {:?}, {:?}", o1, o2),
}
}
}
#[tokio::test]
async fn image_layer_iterator() {
let harness = TenantHarness::create("image_layer_iterator").await.unwrap();
let (tenant, ctx) = harness.load().await;
let tline = tenant
.create_test_timeline(TIMELINE_ID, Lsn(0x10), DEFAULT_PG_VERSION, &ctx)
.await
.unwrap();
fn get_key(id: u32) -> Key {
let mut key = Key::from_hex("000000000033333333444444445500000000").unwrap();
key.field6 = id;
key
}
const N: usize = 1000;
let test_imgs = (0..N)
.map(|idx| (get_key(idx as u32), Bytes::from(format!("img{idx:05}"))))
.collect_vec();
let resident_layer =
produce_image_layer(&tenant, &tline, test_imgs.clone(), Lsn(0x10), &ctx)
.await
.unwrap();
let img_layer = resident_layer.get_as_image(&ctx).await.unwrap();
for max_read_size in [1, 1024] {
for batch_size in [1, 2, 4, 8, 3, 7, 13] {
println!("running with batch_size={batch_size} max_read_size={max_read_size}");
// Test if the batch size is correctly determined
let mut iter = img_layer.iter(&ctx);
iter.planner = StreamingVectoredReadPlanner::new(max_read_size, batch_size);
let mut num_items = 0;
for _ in 0..3 {
iter.next_batch().await.unwrap();
num_items += iter.key_values_batch.len();
if max_read_size == 1 {
// every key should be a batch b/c the value is larger than max_read_size
assert_eq!(iter.key_values_batch.len(), 1);
} else {
assert!(iter.key_values_batch.len() <= batch_size);
}
if num_items >= N {
break;
}
iter.key_values_batch.clear();
}
// Test if the result is correct
let mut iter = img_layer.iter(&ctx);
iter.planner = StreamingVectoredReadPlanner::new(max_read_size, batch_size);
assert_img_iter_equal(&mut iter, &test_imgs, Lsn(0x10)).await;
}
}
}
}