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Updates storage components to edition 2024. We like to stay on the latest edition if possible. There is no functional changes, however some code changes had to be done to accommodate the edition's breaking changes. The PR has two commits: * the first commit updates storage crates to edition 2024 and appeases `cargo clippy` by changing code. i have accidentially ran the formatter on some files that had other edits. * the second commit performs a `cargo fmt` I would recommend a closer review of the first commit and a less close review of the second one (as it just runs `cargo fmt`). part of https://github.com/neondatabase/neon/issues/10918
88 lines
3.5 KiB
Rust
88 lines
3.5 KiB
Rust
//! Upload queue benchmarks.
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use std::str::FromStr as _;
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use std::sync::Arc;
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use std::sync::atomic::AtomicU32;
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use criterion::{Bencher, Criterion, criterion_group, criterion_main};
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use pageserver::tenant::IndexPart;
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use pageserver::tenant::metadata::TimelineMetadata;
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use pageserver::tenant::remote_timeline_client::index::LayerFileMetadata;
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use pageserver::tenant::storage_layer::LayerName;
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use pageserver::tenant::upload_queue::{Delete, UploadOp, UploadQueue, UploadTask};
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use pprof::criterion::{Output, PProfProfiler};
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use utils::generation::Generation;
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use utils::shard::{ShardCount, ShardIndex, ShardNumber};
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// Register benchmarks with Criterion.
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criterion_group!(
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name = benches;
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config = Criterion::default().with_profiler(PProfProfiler::new(100, Output::Flamegraph(None)));
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targets = bench_upload_queue_next_ready,
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);
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criterion_main!(benches);
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/// Benchmarks the cost of UploadQueue::next_ready() with the given number of in-progress tasks
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/// (which is equivalent to tasks ahead of it in the queue). This has linear cost, and the upload
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/// queue as a whole is thus quadratic.
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///
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/// UploadOp::UploadLayer requires an entire tenant and timeline to construct, so we just test
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/// Delete and UploadMetadata instead. This is incidentally the most expensive case.
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fn bench_upload_queue_next_ready(c: &mut Criterion) {
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let mut g = c.benchmark_group("upload_queue_next_ready");
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for inprogress in [0, 1, 10, 100, 1_000, 10_000, 100_000, 1_000_000] {
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g.bench_function(format!("inprogress={inprogress}"), |b| {
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run_bench(b, inprogress).unwrap()
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});
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}
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fn run_bench(b: &mut Bencher, inprogress: usize) -> anyhow::Result<()> {
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// Construct two layers. layer0 is in the indexes, layer1 will be deleted.
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let layer0 = LayerName::from_str("000000000000000000000000000000000000-100000000000000000000000000000000000__00000000016B59D8-00000000016B5A51").expect("invalid name");
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let layer1 = LayerName::from_str("100000000000000000000000000000000001-200000000000000000000000000000000000__00000000016B59D8-00000000016B5A51").expect("invalid name");
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let metadata = LayerFileMetadata {
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shard: ShardIndex::new(ShardNumber(1), ShardCount(2)),
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generation: Generation::Valid(1),
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file_size: 0,
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};
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// Construct the (initial and uploaded) index with layer0.
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let mut index = IndexPart::empty(TimelineMetadata::example());
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index.layer_metadata.insert(layer0, metadata.clone());
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// Construct the queue.
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let mut queue = UploadQueue::Uninitialized;
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let queue = queue.initialize_with_current_remote_index_part(&index, 0)?;
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// Populate inprogress_tasks with a bunch of layer1 deletions.
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let delete = UploadOp::Delete(Delete {
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layers: vec![(layer1, metadata)],
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});
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for task_id in 0..(inprogress as u64) {
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queue.inprogress_tasks.insert(
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task_id,
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Arc::new(UploadTask {
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task_id,
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retries: AtomicU32::new(0),
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op: delete.clone(),
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coalesced_ops: Vec::new(),
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}),
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);
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}
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// Benchmark index upload scheduling.
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let index_upload = UploadOp::UploadMetadata {
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uploaded: Box::new(index),
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};
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b.iter(|| {
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queue.queued_operations.push_front(index_upload.clone());
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assert!(queue.next_ready().is_some());
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});
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Ok(())
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}
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}
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