format: read a contiguous selection's runs merged across small gaps
gather_storage merged only runs that touch, so a strided selection of a contiguous dataset over a Storage became one range (and one owned Vec) per element: a stride-2 read of 32M f32 through File::open_storage made 16,777,232 read_at calls, took 2.0 s and peaked at 2.09 GB. The selection is now walked twice. The first walk checks the runs and plans spans: runs in increasing order at most 4 KiB apart (GATHER_GAP_BYTES) are read as one span up to 8 MiB (GATHER_SPAN_BYTES; a longer run is split), so nothing is stored per run. The spans are fetched in RAW_BATCH_BYTES batches while the second walk copies each run out of its span. Same checks and errors as before. The same read is now 32 reads and 0.31 s (File::open: 0.08 s). contiguous_read_interop: every h5py-checked selection is also read through File::open_storage and must give libhdf5's bytes; a new test bounds the range reads of strided, blocked, column and point selections (stride 2: at most 1 data read; 563,200 before). Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
This commit is contained in:
+4
-1
@@ -61,7 +61,10 @@
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`chunks x extent` bytes (`tests/raw_fetch_bounds.rs`). Chunks the
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file's chunk cache already holds are not fetched. A selection fetches
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only the chunks its bounding box overlaps; a contiguous selection only
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its runs (adjacent ones merged). A global-heap collection is read once
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its runs, merged into reads of up to 8 MiB across gaps of up to 4 KiB
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(a stride-2 selection of 32M `f32` is 32 reads and 0.3 s over a
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`CountingStorage`, where one read per element was 16.8M reads, 2.0 s
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and 2.1 GB peak). A global-heap collection is read once
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per resolver and kept (within the resolver's 32 MiB budget).
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- Each extent's bounds error is the one the slice readers gave, reported
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when the read reaches that extent, so a damaged file fails with the
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@@ -13,7 +13,7 @@ use alloc::{vec, vec::Vec};
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use crate::data_read::NativeElement;
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use crate::error::FormatError;
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use crate::selection::Selection;
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use crate::storage::Storage;
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use crate::storage::{ExtentBytes, ExtentReq, Storage, raw_batches};
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/// Row-major element strides of `dims` (the last dimension has stride 1).
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fn strides(dims: &[u64]) -> Vec<u64> {
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@@ -262,12 +262,88 @@ pub(crate) fn gather<T: NativeElement>(
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Ok(out)
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}
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/// Largest gap between two of a selection's runs that [`gather_storage`]
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/// reads through rather than asking for the runs separately: skipping a
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/// few KiB costs a remote backend far less than another request (and a
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/// local one less than another call and allocation).
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pub(crate) const GATHER_GAP_BYTES: usize = 4 << 10;
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/// Largest single read [`gather_storage`] makes of a selection's runs: runs
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/// are merged into reads up to this size, and a longer run is split.
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pub(crate) const GATHER_SPAN_BYTES: usize = 8 << 20;
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/// Call `emit(first_element, element_count)` for each run of a validated
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/// hyperslab or point selection (in output order; see [`hyperslab_runs`]),
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/// or the error for a hyperslab of the wrong rank or a point outside `dims`
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/// (runs before that point have been emitted).
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fn selection_runs(
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dims: &[u64],
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selection: &Selection,
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emit: &mut dyn FnMut(u64, u64),
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) -> Result<(), FormatError> {
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match selection {
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Selection::Hyperslab {
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start,
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stride,
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count,
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block,
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} => {
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let rank = dims.len();
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if [start.len(), stride.len(), count.len(), block.len()] != [rank; 4] {
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return Err(FormatError::SelectionOutOfBounds(
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"hyperslab rank does not match dataset rank".into(),
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));
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}
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hyperslab_runs(dims, start, stride, count, block, emit);
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}
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Selection::Points(points) => {
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let strides = strides(dims);
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let mut coalesce = Coalesce {
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start: 0,
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len: 0,
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emit,
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};
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for p in points {
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if p.len() != dims.len() || p.iter().zip(dims).any(|(c, n)| c >= n) {
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return Err(FormatError::SelectionOutOfBounds(
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"selection addresses elements outside the dataset".into(),
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));
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}
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let at = p
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.iter()
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.zip(&strides)
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.fold(0u64, |acc, (c, s)| acc.wrapping_add(c.wrapping_mul(*s)));
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coalesce.push(at, 1);
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}
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coalesce.flush();
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}
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Selection::None | Selection::All => {}
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}
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Ok(())
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}
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/// One read of [`gather_storage`]: bytes `[start, end)` of the dataset,
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/// which hold the output's bytes up to `out_end` (from where the previous
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/// span's end left off).
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#[derive(Clone, Copy)]
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struct Span {
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start: usize,
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end: usize,
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out_end: usize,
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}
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/// [`gather`] of bytes (`T = u8`) from a dataset that is not in memory: the
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/// dataset's `src_len` bytes start at `base` in `file`, which must hold all
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/// of them (the caller checks). The selection's runs are collected first,
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/// adjacent ones merged, and fetched with one [`Storage::read_ranges`] call,
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/// so only the selected bytes are read. Same checks and errors as
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/// [`gather`].
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/// of them (the caller checks). Same checks and errors as [`gather`].
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///
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/// The selection's runs are walked twice. The first walk checks them and
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/// plans the reads: runs in increasing order with at most
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/// [`GATHER_GAP_BYTES`] between them are read as one span (the gap is read
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/// and dropped), up to [`GATHER_SPAN_BYTES`] per span. So a strided
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/// selection is a few large reads, not one per element, and nothing is
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/// allocated per run. The spans are fetched batch by batch (one
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/// [`Storage::read_ranges`] call per [`crate::storage::RAW_BATCH_BYTES`])
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/// while the second walk copies each run out of its span.
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pub(crate) fn gather_storage<S: Storage + ?Sized>(
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file: &S,
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base: u64,
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@@ -297,11 +373,15 @@ pub(crate) fn gather_storage<S: Storage + ?Sized>(
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}
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};
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let out_bytes = crate::chunked_read::checked_byte_len(n_elements, elem_size)?;
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// Runs as (byte offset in the dataset, byte length), in output order.
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let mut runs: Vec<(usize, usize)> = Vec::new();
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let outside = || {
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FormatError::SelectionOutOfBounds("selection addresses elements outside the dataset".into())
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};
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// First walk: check every run and plan the spans.
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let mut spans: Vec<Span> = Vec::new();
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let mut total = 0usize;
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let mut failed = false;
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let mut collect = |first: u64, n: u64| {
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selection_runs(dims, selection, &mut |first: u64, n: u64| {
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if failed {
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return;
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}
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@@ -314,78 +394,123 @@ pub(crate) fn gather_storage<S: Storage + ?Sized>(
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.and_then(|n| n.checked_mul(elem_size)),
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)
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.and_then(|(at, len)| Some((at, len, at.checked_add(len)?)));
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match range {
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Some((at, len, end)) if end <= src_len && total + len <= out_bytes => {
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match runs.last_mut() {
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Some((a, l)) if *a + *l == at => *l += len,
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_ => runs.push((at, len)),
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}
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total += len;
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}
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_ => failed = true,
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}
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};
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let mut bad_point = false;
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match selection {
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Selection::Hyperslab {
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start,
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stride,
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count,
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block,
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} => {
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let rank = dims.len();
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if [start.len(), stride.len(), count.len(), block.len()] != [rank; 4] {
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return Err(FormatError::SelectionOutOfBounds(
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"hyperslab rank does not match dataset rank".into(),
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));
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}
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hyperslab_runs(dims, start, stride, count, block, &mut collect);
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}
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Selection::Points(points) => {
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let strides = strides(dims);
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let mut coalesce = Coalesce {
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start: 0,
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len: 0,
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emit: &mut collect,
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};
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for p in points {
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if p.len() != dims.len() || p.iter().zip(dims).any(|(c, n)| c >= n) {
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bad_point = true;
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break;
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}
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let at = p
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.iter()
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.zip(&strides)
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.fold(0u64, |acc, (c, s)| acc.wrapping_add(c.wrapping_mul(*s)));
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coalesce.push(at, 1);
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}
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coalesce.flush();
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}
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Selection::None | Selection::All => {}
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}
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if failed || bad_point || total != out_bytes {
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return Err(FormatError::SelectionOutOfBounds(
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"selection addresses elements outside the dataset".into(),
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));
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}
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let ranges: Vec<core::ops::Range<u64>> = runs
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.iter()
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.map(|&(at, len)| base + at as u64..base + (at + len) as u64)
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.collect();
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let fetched = file.read_ranges(&ranges)?;
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if fetched.len() != ranges.len() {
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return Err(FormatError::Storage(
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"read_ranges returned the wrong number of ranges".into(),
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));
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}
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let mut out = crate::bulk_alloc::vec_for_bulk(out_bytes);
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for (bytes, &(_, len)) in fetched.iter().zip(&runs) {
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let Some(b) = bytes.get(..len) else {
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return Err(FormatError::Storage(
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"short read inside the file (the storage shrank or the backend failed)".into(),
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));
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let Some((mut at, mut len)) = range
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.filter(|&(_, len, end)| end <= src_len && len <= out_bytes - total)
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.map(|(at, len, _)| (at, len))
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else {
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failed = true;
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return;
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};
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out.extend_from_slice(b);
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while len > 0 {
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let room = match spans.last_mut() {
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Some(s)
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if at >= s.end
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&& at - s.end <= GATHER_GAP_BYTES
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&& at - s.start < GATHER_SPAN_BYTES =>
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{
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let take = len.min(GATHER_SPAN_BYTES - (at - s.start));
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s.end = at + take;
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s.out_end += take;
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take
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}
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_ => {
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let take = len.min(GATHER_SPAN_BYTES);
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spans.push(Span {
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start: at,
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end: at + take,
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out_end: total + take,
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});
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take
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}
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};
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total += room;
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at += room;
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len -= room;
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}
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})?;
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if failed || total != out_bytes {
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return Err(outside());
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}
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// The spans' reads, and the batches they are fetched in.
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let reqs: Vec<ExtentReq> = spans
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.iter()
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.map(|s| ExtentReq {
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addr: base + s.start as u64,
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len: s.end - s.start,
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fetch: Some(s.end - s.start),
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})
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.collect();
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let batches = raw_batches(reqs.len(), false, |i| reqs[i].len);
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// Second walk: copy each run out of its span, fetching each batch of
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// spans when the walk reaches it (and dropping the previous one).
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let mut out = crate::bulk_alloc::vec_for_bulk(out_bytes);
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let mut span = 0usize;
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let mut batch = 0usize;
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let mut fetched: Option<ExtentBytes<'_>> = None;
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let mut error: Option<FormatError> = None;
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selection_runs(dims, selection, &mut |first: u64, n: u64| {
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if error.is_some() {
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return;
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}
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// Checked by the first walk.
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let mut at = first as usize * elem_size;
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let mut len = n as usize * elem_size;
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while len > 0 {
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while spans.get(span).is_some_and(|s| s.out_end <= out.len()) {
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span += 1;
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}
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if fetched.is_none() || span >= batches[batch].end {
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fetched = None;
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while batches.get(batch).is_some_and(|b| span >= b.end) {
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batch += 1;
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}
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let (Some(b), Some(_)) = (batches.get(batch).cloned(), spans.get(span)) else {
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// The second walk emitted more than the first.
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error = Some(outside());
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return;
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};
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match ExtentBytes::fetch(file, &reqs[b.clone()], b.start) {
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Ok(f) => fetched = Some(f),
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Err(e) => {
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error = Some(e);
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return;
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}
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}
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}
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let s = spans[span];
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let take = len.min(s.out_end - out.len());
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let bytes = match fetched
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.as_ref()
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.map(|f| f.get(span, &reqs[span]))
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.unwrap_or_else(|| Err(outside()))
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{
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Ok(b) => b,
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Err(e) => {
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error = Some(e);
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return;
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}
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};
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match at
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.checked_sub(s.start)
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.and_then(|o| bytes.get(o..o.checked_add(take)?))
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{
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Some(b) => out.extend_from_slice(b),
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None => {
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error = Some(outside());
|
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return;
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||||
}
|
||||
}
|
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at += take;
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len -= take;
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||||
}
|
||||
})?;
|
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if let Some(e) = error {
|
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return Err(e);
|
||||
}
|
||||
if out.len() != out_bytes {
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return Err(outside());
|
||||
}
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Ok(out)
|
||||
}
|
||||
|
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@@ -420,7 +420,7 @@ pub(crate) enum Extent<'a> {
|
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impl<'a> ExtentBytes<'a> {
|
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/// Fetch `reqs`, extents `base..base + reqs.len()` of the read: the
|
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/// bytes of those wanted, and the bounds check of all of them.
|
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fn fetch<S: Storage + ?Sized>(
|
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pub(crate) fn fetch<S: Storage + ?Sized>(
|
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file: &'a S,
|
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reqs: &[ExtentReq],
|
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base: usize,
|
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|
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@@ -12,9 +12,11 @@
|
||||
|
||||
use std::path::Path;
|
||||
use std::process::Command;
|
||||
use std::sync::Arc;
|
||||
|
||||
use clawhdf5::File;
|
||||
use clawhdf5_format::selection::Selection;
|
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use clawhdf5_format::storage::CountingStorage;
|
||||
|
||||
fn python() -> String {
|
||||
std::env::var("CLAWHDF5_PYTHON").unwrap_or_else(|_| "python3".to_string())
|
||||
@@ -364,9 +366,31 @@ with h5py.File("{path}", "r") as f:
|
||||
));
|
||||
|
||||
let file = File::open(&path).unwrap();
|
||||
// The same file over a storage that serves only range reads: the
|
||||
// selections read only their runs (see `strided_selections_over_storage_
|
||||
// read_few_ranges`) and must give the same bytes.
|
||||
let remote = File::open_storage(Arc::new(CountingStorage::new(
|
||||
std::fs::read(&path).unwrap(),
|
||||
)))
|
||||
.unwrap();
|
||||
for (k, (name, code, sel)) in cases.iter().enumerate() {
|
||||
let ds = file.dataset(name).unwrap();
|
||||
let want_bytes = std::fs::read(dir.path().join(format!("sel_{k}.bin"))).unwrap();
|
||||
let rds = remote.dataset(name).unwrap();
|
||||
assert!(
|
||||
rds.read_selection(sel).unwrap() == want_bytes,
|
||||
"{name} {sel:?}: bytes over a range storage differ from libhdf5's"
|
||||
);
|
||||
assert_eq!(
|
||||
rds.read_f64_selection(sel).unwrap(),
|
||||
ds.read_f64_selection(sel).unwrap(),
|
||||
"{name} {sel:?}: f64 over a range storage"
|
||||
);
|
||||
assert_eq!(
|
||||
rds.read_i32_selection(sel).unwrap(),
|
||||
ds.read_i32_selection(sel).unwrap(),
|
||||
"{name} {sel:?}: i32 over a range storage"
|
||||
);
|
||||
let got_bytes = ds.read_selection(sel).unwrap();
|
||||
assert!(
|
||||
got_bytes == want_bytes,
|
||||
@@ -401,3 +425,64 @@ with h5py.File("{path}", "r") as f:
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
/// Over a storage without the file in memory, a selection of a contiguous
|
||||
/// dataset reads its runs merged across small gaps: a strided selection is
|
||||
/// a few large reads, not one per element (563 200 for the stride-2 case
|
||||
/// before), and the values are libhdf5's.
|
||||
#[test]
|
||||
fn strided_selections_over_storage_read_few_ranges() {
|
||||
skip_if_no_python!();
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let path = dir.path().join("contig.h5");
|
||||
write_file(&path);
|
||||
let storage = Arc::new(CountingStorage::new(std::fs::read(&path).unwrap()));
|
||||
let remote = File::open_storage(storage.clone()).unwrap();
|
||||
let local = File::open(&path).unwrap();
|
||||
// f4le_big is 1100 x 1024 f32: 4 KiB rows, 4.4 MB in all.
|
||||
let name = "f4le_big";
|
||||
let every_100th: Vec<Vec<u64>> = (0..1100u64 * 1024)
|
||||
.step_by(100)
|
||||
.map(|i| vec![i / 1024, i % 1024])
|
||||
.collect();
|
||||
let backwards: Vec<Vec<u64>> = every_100th.iter().rev().take(50).cloned().collect();
|
||||
// (selection, most range reads it may take)
|
||||
let cases: Vec<(Selection, u64)> = vec![
|
||||
// Every other element of every row: one read of the whole dataset.
|
||||
(slab(&[(0, 1, 1100, 1), (0, 2, 512, 1)]), 1),
|
||||
// Blocks of 3 every 7 on every other row: rows are 4 KiB apart, so
|
||||
// one read per selected row at most.
|
||||
(slab(&[(0, 2, 550, 1), (1, 7, 146, 3)]), 550),
|
||||
// Every 100th element, in order: 400-byte gaps, one read.
|
||||
(Selection::Points(every_100th), 1),
|
||||
// Points going backwards are not merged.
|
||||
(Selection::Points(backwards), 50),
|
||||
// A column: 4 KiB apart, merged.
|
||||
(slab(&[(0, 1, 1100, 1), (5, 1, 1, 1)]), 1),
|
||||
];
|
||||
let ds = remote.dataset(name).unwrap();
|
||||
for (sel, most) in cases {
|
||||
storage.reset();
|
||||
let got = ds.read_f32_selection(&sel).unwrap();
|
||||
let reads = storage.reads();
|
||||
assert_eq!(
|
||||
got,
|
||||
local
|
||||
.dataset(name)
|
||||
.unwrap()
|
||||
.read_f32_selection(&sel)
|
||||
.unwrap(),
|
||||
"{sel:?}"
|
||||
);
|
||||
// A few reads of metadata besides the data.
|
||||
assert!(reads <= most + 8, "{sel:?}: {reads} range reads");
|
||||
storage.reset();
|
||||
let bytes = ds.read_selection(&sel).unwrap();
|
||||
assert!(
|
||||
storage.reads() <= most + 8,
|
||||
"{sel:?}: {} reads",
|
||||
storage.reads()
|
||||
);
|
||||
assert_eq!(bytes.len(), got.len() * 4);
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user