clawhdf5-remote: block cache and HTTP range reads (open_url)
Range-read milestone M3, first half: a new crate with the block cache the
design makes mandatory for remote files and an HTTP backend, so
open_url("http://...") gives a clawhdf5::File over File::open_storage.
BlockCache wraps any Storage: aligned blocks (1 MiB by default, the size
docs/design/range-reads.md section 2 measured), LRU with a byte budget,
the missing blocks of one read_at/read_ranges fetched with one backend
read_ranges call as runs of consecutive blocks (a one-block gap filled to
merge runs, each request at most 8 MiB), and reads that miss more than
half the budget not kept. Thread-safe without holding the lock across a
fetch: a block being fetched is in flight, a second reader waits for it
instead of fetching it again, and a failed fetch fails its waiters and is
not cached. A backend holding the file in memory passes through.
HttpStorage (ureq, no TLS by default; `https` adds rustls with ring):
opening is one ranged GET of the first block, whose Content-Range gives
the length (the cache keeps the bytes). The file is pinned by a strong
ETag (If-Match), else Last-Modified (If-Unmodified-Since), and its length,
checked on every response: a change is RemoteError::FileChanged, never
mixed data. A server that ignores Range is refused without reading the
body unless a full download is allowed. Connection errors, timeouts,
408/429/5xx and short bodies are retried with exponential backoff;
Accept-Encoding: identity, and an encoded body is refused. read_ranges
fetches its ranges in parallel.
Tests (a std-only HTTP/1.1 server in tests/common/server.rs, also the
range_server example): every fixture read over HTTP gives File::open's
transcript (CLAWHDF5_REMOTE_CORPUS adds the conformance corpus), with
request counts per file with and without the cache; an h5py-written file
against libhdf5's values; a multi-block file fetched in whole blocks, each
once; a server ignoring Range; a file replaced mid-read (ETag,
Last-Modified, length only); truncated bodies and 503s (retried, then an
error, never cached); a slow server with 8 concurrent readers (no block
fetched twice); bad URLs, 404, encoded bodies, non-HDF5 data. The cache
has unit tests for coalescing, splitting, LRU order, large reads,
failures and concurrent in-flight dedup.
ci-test.sh: clawhdf5-remote joins the no-C default-build check, and its
https feature is linted.
Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
This commit is contained in:
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//! List a remote HDF5 file and read one dataset, then print what it cost.
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//!
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//! ```text
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//! cargo run -p clawhdf5-remote --example read_url -- URL [DATASET]
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//! ```
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use clawhdf5::File;
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use clawhdf5_remote::{Options, storage_for_url};
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fn main() -> Result<(), Box<dyn std::error::Error>> {
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let mut args = std::env::args().skip(1);
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let url = args.next().ok_or("usage: read_url URL [DATASET]")?;
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let dataset = args.next();
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let storage = storage_for_url(&url, &Options::default())?;
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let file = File::open_storage(storage.clone())?;
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// Walk the tree.
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let mut stack = vec![("/".to_string(), file.root())];
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while let Some((path, group)) = stack.pop() {
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for (name, addr) in group.entries()? {
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let child = format!("{}/{name}", path.trim_end_matches('/'));
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match file.dataset_at(addr) {
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Ok(ds) => println!("{child} dataset {:?} {:?}", ds.shape()?, ds.dtype()?),
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Err(_) => {
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println!("{child} group");
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stack.push((child, file.group_at(addr)));
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}
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}
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}
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}
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if let Some(name) = dataset {
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let values = file.dataset(&name)?.read_f64()?;
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let shown: Vec<_> = values.iter().take(8).collect();
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println!("{name}: {} values, first {shown:?}", values.len());
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}
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let s = storage.stats();
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println!(
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"{} range requests (the one at open included), {} bytes fetched, {} bytes cached",
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s.requests, s.bytes_fetched, s.cached_bytes
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);
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Ok(())
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}
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