From 6f9724cb14686e0737ed144be5d945fe1fbde578 Mon Sep 17 00:00:00 2001 From: Davis Bennett Date: Thu, 30 Jul 2026 11:08:29 +0200 Subject: [PATCH 1/5] fix: minor correctness and hygiene fixes from the sync-pipeline audit (#4205) - Codec construction warnings (e.g. sharding's "disables partial reads") fired twice per array open, and on every decode/encode through the fused pipeline's async fallback. Re-constructions of an already-validated codec chain now go through codecs_from_list_unchecked, which validates structure without repeating first-construction advisory warnings; each warning fires exactly once per open under both pipelines. - concurrent_iter returned a lazy generator while its docstring promised eagerly scheduled tasks; it now materializes the task list so awaiting one at a time cannot serialize the batch. - A garbage codec_pipeline.max_workers value (e.g. from the environment) raised ValueError mid-read; it now warns and falls back to the default, consistent with tolerant handling of config input. - The as-completed pipeline helpers abandoned in-flight tasks when one failed, leaving stray background writes and "Task exception was never retrieved" warnings; failures now cancel and drain outstanding tasks. - Benchmarks: seed the data generator for reproducibility; fix a copy-pasted docstring. - Remove dead commented-out test blocks referencing the removed set_range API. Assisted-by: ClaudeCode:claude-sonnet-5 --- changes/4205.bugfix.md | 9 ++ src/zarr/core/array.py | 6 ++ src/zarr/core/chunk_utils.py | 8 +- src/zarr/core/codec_pipeline.py | 145 +++++++++++++++++++++++++------ src/zarr/core/common.py | 20 ++--- tests/benchmarks/test_e2e.py | 5 +- tests/test_codecs/test_codecs.py | 46 +++++++++- tests/test_common.py | 28 ++++++ tests/test_fused_pipeline.py | 101 ++++++++++++++++++++- tests/test_store/test_local.py | 52 ----------- tests/test_store/test_memory.py | 53 ----------- 11 files changed, 325 insertions(+), 148 deletions(-) create mode 100644 changes/4205.bugfix.md diff --git a/changes/4205.bugfix.md b/changes/4205.bugfix.md new file mode 100644 index 0000000000..0492febb7d --- /dev/null +++ b/changes/4205.bugfix.md @@ -0,0 +1,9 @@ +Fixed several small correctness issues from the codec-pipeline performance work: construction-time +codec warnings (e.g. sharding's "disables partial reads" warning) no longer fire twice per array +open — including for `FusedCodecPipeline`, which previously re-warned via its own codec-chain +reconstruction and, on the async fallback path, on every decode/encode call; `concurrent_iter` now +schedules its tasks eagerly, matching its documented contract; an invalid +`codec_pipeline.max_workers` config/environment value now warns and falls back to the default +instead of raising mid-read; and `FusedCodecPipeline`'s async fallback helpers now cancel +already-spawned fetch/decode/write tasks instead of abandoning them in the background when one +fails. diff --git a/src/zarr/core/array.py b/src/zarr/core/array.py index f75ef72415..cd51dad50c 100644 --- a/src/zarr/core/array.py +++ b/src/zarr/core/array.py @@ -228,6 +228,12 @@ def create_codec_pipeline(metadata: ArrayMetadata, *, store: Store | None = None pass if isinstance(metadata, ArrayV3Metadata): + # The pipeline built here is a throwaway: `evolve_from_array_spec` below + # reconstructs codecs against the evolved spec. `from_codecs` is the + # chain's first construction, so its advisory warnings (e.g. sharding's + # "disables partial reads" warning) fire here; `evolve_from_array_spec` + # re-splits the same already-warned-about chain via + # `codecs_from_list_unchecked`, so it does not re-emit them. pipeline = get_pipeline_class().from_codecs(metadata.codecs) from zarr.core.metadata.v3 import RegularChunkGridMetadata diff --git a/src/zarr/core/chunk_utils.py b/src/zarr/core/chunk_utils.py index d93793f853..b26d5478b2 100644 --- a/src/zarr/core/chunk_utils.py +++ b/src/zarr/core/chunk_utils.py @@ -238,7 +238,7 @@ class ChunkTransform: ) def __post_init__(self) -> None: - from zarr.core.codec_pipeline import codecs_from_list + from zarr.core.codec_pipeline import codecs_from_list_unchecked # _codec_supports_sync, not a bare isinstance check: a codec can satisfy # the SupportsSyncCodec protocol structurally yet be unable to run @@ -253,7 +253,11 @@ def __post_init__(self) -> None: f"All codecs must implement SupportsSyncCodec. The following do not: {names}" ) - aa, ab, bb = codecs_from_list(list(self.codecs)) + # `ChunkTransform` is built from a codec chain that already went + # through `codecs_from_list` when the owning pipeline was constructed + # (see `FusedCodecPipeline.evolve_from_array_spec`), so re-splitting it + # here must not re-emit that chain's advisory warnings. + aa, ab, bb = codecs_from_list_unchecked(list(self.codecs)) # SupportsSyncCodec was verified above; the cast is purely for mypy. self._aa_codecs = cast("tuple[SupportsSyncCodec[NDBuffer, NDBuffer], ...]", tuple(aa)) self._ab_codec = cast("SupportsSyncCodec[NDBuffer, Buffer]", ab) diff --git a/src/zarr/core/codec_pipeline.py b/src/zarr/core/codec_pipeline.py index ca760ece59..92fd0970fe 100644 --- a/src/zarr/core/codec_pipeline.py +++ b/src/zarr/core/codec_pipeline.py @@ -4,7 +4,7 @@ import threading from concurrent.futures import ThreadPoolExecutor from dataclasses import dataclass, field -from itertools import batched, pairwise +from itertools import batched, chain, pairwise from typing import TYPE_CHECKING, Any, cast from warnings import warn @@ -54,10 +54,23 @@ def _resolve_max_workers() -> int: """Helper for getting the maximum number of workers available to the `FusedCodecPipeline`""" import os as _os + default = _os.cpu_count() or 1 cfg = config.get("codec_pipeline.max_workers", default=None) if cfg is None: - return _os.cpu_count() or 1 - return max(1, int(cfg)) + return default + try: + return max(1, int(cfg)) + except (TypeError, ValueError): + # This value arrives via the config/env layer (e.g. + # `ZARR_CODEC_PIPELINE__MAX_WORKERS`), so tolerate bad input here + # instead of raising mid-read. + warn( + f"Ignoring invalid `codec_pipeline.max_workers` config value {cfg!r}; " + f"falling back to {default}.", + category=ZarrUserWarning, + stacklevel=2, + ) + return default def _get_pool(max_workers: int) -> ThreadPoolExecutor: @@ -169,6 +182,23 @@ def pipeline_supports_partial_encode( return isinstance(array_bytes_codec, ArrayBytesCodecPartialEncodeMixin) +async def _cancel_and_drain(futures: Iterable[asyncio.Future[Any]]) -> None: + """Cancel every not-yet-done future/task and await its outcome. + + Used to clean up work spawned by a drain loop (`asyncio.as_completed` + + `await`) when the loop exits early via exception. Without this, tasks + already spawned keep running unattended after the caller has moved on, + and an eventual failure surfaces as an unraisable "exception was never + retrieved" warning instead of being observed here. + """ + pending = [f for f in futures if not f.done()] + if len(pending) == 0: + return + for f in pending: + f.cancel() + await asyncio.gather(*pending, return_exceptions=True) + + async def _fetch_and_decode_as_completed( batch: Sequence[tuple[ByteGetter | None, ArraySpec]], transform: ChunkTransform, @@ -201,20 +231,29 @@ def _decode(buffer: Buffer | None, chunk_spec: ArraySpec) -> NDBuffer | None: _fetch, config.get("async.concurrency"), ) - for fetch_coro in asyncio.as_completed(fetch_tasks): - idx, buffer = await fetch_coro - chunk_spec = batch[idx][1] - # Bridge both paths to asyncio.Future so the final collection loop - # can `await` uniformly without blocking the event loop. For the - # pool path that means `wrap_future` (not `pool.submit(...).result()`, - # which would block the loop thread for the duration of every decode - # — freezing any unrelated coroutines sharing this loop). - if pool is None: - decode_futures[idx].set_result(_decode(buffer, chunk_spec)) - else: - decode_futures[idx] = asyncio.wrap_future(pool.submit(_decode, buffer, chunk_spec)) + try: + for fetch_coro in asyncio.as_completed(fetch_tasks): + idx, buffer = await fetch_coro + chunk_spec = batch[idx][1] + # Bridge both paths to asyncio.Future so the final collection loop + # can `await` uniformly without blocking the event loop. For the + # pool path that means `wrap_future` (not `pool.submit(...).result()`, + # which would block the loop thread for the duration of every decode + # — freezing any unrelated coroutines sharing this loop). + if pool is None: + decode_futures[idx].set_result(_decode(buffer, chunk_spec)) + else: + decode_futures[idx] = asyncio.wrap_future(pool.submit(_decode, buffer, chunk_spec)) - return await asyncio.gather(*decode_futures) + return await asyncio.gather(*decode_futures) + finally: + # On the happy path every future here is already done, so this is a + # no-op; on failure it stops abandoned fetches/decodes from + # continuing to run unattended after this function has raised. A + # single call over both iterables (not two sequential calls) so that + # outer-task cancellation during the first drain can't skip the + # second, leaving its futures/tasks unobserved. + await _cancel_and_drain(chain(fetch_tasks, decode_futures)) async def _encode_and_write_as_completed( @@ -263,10 +302,20 @@ async def _write(idx: int, chunk_bytes: Buffer | None) -> None: # Kick off each chunk's write the instant its encode lands, so writes of # already-compressed chunks proceed while the rest are still encoding. write_tasks: list[asyncio.Task[None]] = [] - for encode_coro in asyncio.as_completed(encode_futures): - idx, chunk_bytes = await encode_coro - write_tasks.append(asyncio.ensure_future(_write(idx, chunk_bytes))) - await asyncio.gather(*write_tasks) + try: + for encode_coro in asyncio.as_completed(encode_futures): + idx, chunk_bytes = await encode_coro + write_tasks.append(asyncio.ensure_future(_write(idx, chunk_bytes))) + await asyncio.gather(*write_tasks) + finally: + # On the happy path every future here is already done, so this is a + # no-op; on failure (an encode or a write raising) it stops + # already-spawned writes from continuing in the background after + # this function has raised. A single call over both iterables (not + # two sequential calls) so that outer-task cancellation during the + # first drain can't skip the second, leaving its futures/tasks + # unobserved. + await _cancel_and_drain(chain(write_tasks, encode_futures)) async def _async_read_fallback( @@ -468,7 +517,11 @@ class AsyncChunkTransform: _bb_codecs: tuple[BytesBytesCodec, ...] = field(init=False, repr=False, compare=False) def __post_init__(self) -> None: - aa, ab, bb = codecs_from_list(list(self.codecs)) + # `AsyncChunkTransform` is (re)constructed per decode/encode call from a + # codec chain that already went through `codecs_from_list` when the + # pipeline itself was built, so re-splitting it here must not re-emit + # that chain's advisory warnings on every call. + aa, ab, bb = codecs_from_list_unchecked(list(self.codecs)) self._aa_codecs = aa self._ab_codec = ab self._bb_codecs = bb @@ -532,7 +585,19 @@ class BatchedCodecPipeline(CodecPipeline): batch_size: int def evolve_from_array_spec(self, array_spec: ArraySpec) -> Self: - return type(self).from_codecs(evolve_codecs(self, array_spec)) + # Re-splits an already-`codecs_from_list`-validated (and warned-about) + # chain against the evolved spec, so this uses the quiet variant rather + # than routing through `from_codecs` (which would re-warn). + evolved_codecs = evolve_codecs(self, array_spec) + array_array_codecs, array_bytes_codec, bytes_bytes_codecs = codecs_from_list_unchecked( + evolved_codecs + ) + return type(self)( + array_array_codecs=array_array_codecs, + array_bytes_codec=array_bytes_codec, + bytes_bytes_codecs=bytes_bytes_codecs, + batch_size=self.batch_size, + ) @classmethod def from_codecs(cls, codecs: Iterable[Codec], *, batch_size: int | None = None) -> Self: @@ -794,14 +859,20 @@ async def write( def codecs_from_list( codecs: Iterable[Codec], ) -> tuple[tuple[ArrayArrayCodec, ...], ArrayBytesCodec, tuple[BytesBytesCodec, ...]]: + """Split `codecs` into `(array_array, array_bytes, bytes_bytes)`, validating order. + + Emits user-facing advisory warnings about the codec chain (e.g. sharding's + "disables partial reads" warning). Use this for the FIRST construction of a + codec chain from user-supplied codecs. Use `codecs_from_list_unchecked` when + re-splitting a chain that was already validated and warned about by a prior + `codecs_from_list` call (e.g. `evolve_from_array_spec` re-splitting the same + codecs against an evolved spec) — re-warning there would fire the same + advisory once per reconstruction instead of once per user-facing chain. + """ from zarr.codecs.sharding import ShardingCodec codecs = tuple(codecs) # materialize to avoid generator consumption issues - array_array: tuple[ArrayArrayCodec, ...] = () - array_bytes_maybe: ArrayBytesCodec | None = None - bytes_bytes: tuple[BytesBytesCodec, ...] = () - if any(isinstance(codec, ShardingCodec) for codec in codecs) and len(codecs) > 1: warn( "Combining a `sharding_indexed` codec disables partial reads and " @@ -809,6 +880,23 @@ def codecs_from_list( category=ZarrUserWarning, stacklevel=3, ) + return codecs_from_list_unchecked(codecs) + + +def codecs_from_list_unchecked( + codecs: Iterable[Codec], +) -> tuple[tuple[ArrayArrayCodec, ...], ArrayBytesCodec, tuple[BytesBytesCodec, ...]]: + """Split `codecs` into `(array_array, array_bytes, bytes_bytes)`, validating order. + + Same structural validation as `codecs_from_list` (raises on bad codec + ordering or a missing/duplicate array-bytes codec) but does NOT emit + user-facing advisory warnings. See `codecs_from_list` for when to use each. + """ + codecs = tuple(codecs) # materialize to avoid generator consumption issues + + array_array: tuple[ArrayArrayCodec, ...] = () + array_bytes_maybe: ArrayBytesCodec | None = None + bytes_bytes: tuple[BytesBytesCodec, ...] = () for prev_codec, cur_codec in pairwise((None, *codecs)): if isinstance(cur_codec, ArrayArrayCodec): @@ -911,8 +999,11 @@ def from_codecs(cls, codecs: Iterable[Codec], *, batch_size: int | None = None) ) def evolve_from_array_spec(self, array_spec: ArraySpec) -> Self: + # Re-splits an already-`codecs_from_list`-validated (and warned-about) + # chain against the evolved spec, so this uses the quiet variant to + # avoid re-emitting the same advisory warning on every array open. evolved_codecs = evolve_codecs(self.codecs, array_spec) - aa, ab, bb = codecs_from_list(evolved_codecs) + aa, ab, bb = codecs_from_list_unchecked(evolved_codecs) try: sync_transform: ChunkTransform | None = ChunkTransform(codecs=evolved_codecs) diff --git a/src/zarr/core/common.py b/src/zarr/core/common.py index 4114cb7645..1541683b09 100644 --- a/src/zarr/core/common.py +++ b/src/zarr/core/common.py @@ -93,26 +93,26 @@ def concurrent_iter[T: tuple[Any, ...], V]( items: Iterable[T], func: Callable[..., Awaitable[V]], limit: int | None = None, -) -> Iterator[asyncio.Task[V]]: +) -> list[asyncio.Task[V]]: """Launch `func(*item)` for each item concurrently, returning the tasks. When `limit` is set, no more than `limit` calls are in flight at once. Tasks are returned in input order; callers that want completion order should wrap the result in `asyncio.as_completed`. - Note on `ensure_future`: when the result is passed to `asyncio.gather` or - `asyncio.as_completed`, those already wrap awaitables into tasks, so the - `ensure_future` here is redundant. It matters for callers that iterate and - await tasks one at a time — without eager scheduling, each coroutine would - only start when individually awaited, serializing the work and defeating - the semaphore. It also makes the return type honest (real `Task`s support - `.cancel()`, `.done()`, callbacks) rather than bare coroutines. + Every task is scheduled (via `ensure_future`) before this function + returns, not on first iteration of the result. That matters for callers + that await the returned tasks one at a time — without eager scheduling, + each coroutine would only start when individually awaited, serializing + the work and defeating the semaphore. It also makes the return type + honest (real `Task`s support `.cancel()`, `.done()`, callbacks) rather + than bare coroutines. See https://docs.python.org/3/library/asyncio-task.html#coroutines: "Note that simply calling a coroutine will not schedule it to be executed:" """ if limit is None: - return (asyncio.ensure_future(func(*item)) for item in items) + return [asyncio.ensure_future(func(*item)) for item in items] sem = asyncio.Semaphore(limit) @@ -120,7 +120,7 @@ async def run(item: T) -> V: async with sem: return await func(*item) - return (asyncio.ensure_future(run(item)) for item in items) + return [asyncio.ensure_future(run(item)) for item in items] async def concurrent_map[T: tuple[Any, ...], V]( diff --git a/tests/benchmarks/test_e2e.py b/tests/benchmarks/test_e2e.py index de69fca59b..9720778d8f 100644 --- a/tests/benchmarks/test_e2e.py +++ b/tests/benchmarks/test_e2e.py @@ -63,7 +63,8 @@ def _data(shape: tuple[int]) -> np.ndarray: noise_level = 1 pattern = (np.sin(np.linspace(0, 2 * np.pi, period)) * 50 + 128).round().astype(np.uint8) data = np.tile(pattern, int(np.ceil(n / period)))[:n].astype(np.int16) - data += np.random.randint(-noise_level, noise_level + 1, size=n, dtype=np.int16) + rng = np.random.default_rng(0) + data += rng.integers(-noise_level, noise_level + 1, size=n, dtype=np.int16) return np.clip(data, 0, 255).astype(np.uint8) @@ -189,7 +190,7 @@ def test_read_array( get_data: Callable[[tuple[int]], np.ndarray | int], ) -> None: """ - Test the time required to fill an array with a single value + Test the time required to read the entirety of an array """ arr = create_array( bench_store, diff --git a/tests/test_codecs/test_codecs.py b/tests/test_codecs/test_codecs.py index 01ac02920f..8b4585503c 100644 --- a/tests/test_codecs/test_codecs.py +++ b/tests/test_codecs/test_codecs.py @@ -1,6 +1,7 @@ from __future__ import annotations import json +import warnings from dataclasses import dataclass from typing import TYPE_CHECKING, Any @@ -22,7 +23,7 @@ from zarr.core.metadata.v3 import ArrayV3Metadata from zarr.dtype import UInt8 from zarr.errors import ZarrUserWarning -from zarr.storage import StorePath +from zarr.storage import MemoryStore, StorePath if TYPE_CHECKING: from zarr.abc.codec import Codec @@ -375,6 +376,49 @@ def test_invalid_metadata_create_array() -> None: ) +@pytest.mark.parametrize( + "pipeline_path", + [ + "zarr.core.codec_pipeline.BatchedCodecPipeline", + "zarr.core.codec_pipeline.FusedCodecPipeline", + ], +) +def test_sharding_warning_fires_once_per_open(pipeline_path: str) -> None: + """Construction-time codec warnings (e.g. sharding's partial-reads warning) + must fire exactly once per array open, not once per internal codec-chain + reconstruction. + + `create_codec_pipeline` builds a throwaway pipeline via `from_codecs` (which + warns) and then calls `evolve_from_array_spec` on it, which re-splits the + (already-warned-about) codec chain against the evolved spec. That re-split + goes through `codecs_from_list_unchecked` rather than `codecs_from_list`, so + it does not re-emit the warning. `FusedCodecPipeline` additionally builds a + `ChunkTransform` (and, on the async fallback path, an `AsyncChunkTransform` + per call) from the same evolved codec chain, which must use the same quiet + variant. + """ + with config.set({"codec_pipeline.path": pipeline_path}): + store = MemoryStore() + with warnings.catch_warnings(): + warnings.simplefilter("ignore") + zarr.create_array( + store, + shape=(16, 16), + chunks=(16, 16), + dtype=np.dtype("uint8"), + fill_value=0, + serializer=ShardingCodec(chunk_shape=(8, 8)), + compressors=[GzipCodec()], + ) + + with warnings.catch_warnings(record=True) as caught: + warnings.simplefilter("always") + zarr.open_array(store, mode="r") + + matches = [w for w in caught if "disables partial reads" in str(w.message)] + assert len(matches) == 1 + + @pytest.mark.parametrize("store", ["local", "memory"], indirect=["store"]) async def test_resize(store: Store) -> None: data = np.zeros((16, 18), dtype="uint16") diff --git a/tests/test_common.py b/tests/test_common.py index 2fe0743e14..5d8df326da 100644 --- a/tests/test_common.py +++ b/tests/test_common.py @@ -1,5 +1,6 @@ from __future__ import annotations +import asyncio from collections.abc import Iterable from typing import TYPE_CHECKING, get_args @@ -9,6 +10,7 @@ from zarr.core.common import ( ANY_ACCESS_MODE, AccessModeLiteral, + concurrent_iter, parse_int, parse_name, parse_shapelike, @@ -32,6 +34,32 @@ def test_access_modes() -> None: assert set(ANY_ACCESS_MODE) == set(get_args(AccessModeLiteral)) +async def test_concurrent_iter_schedules_eagerly() -> None: + """`concurrent_iter` must return already-scheduled tasks, not a lazy generator. + + Its docstring promises `func(*item)` is launched concurrently for every + item up front; a caller that awaits the returned tasks one at a time + (rather than via `gather`/`as_completed`, which force iteration) relies + on that eager scheduling to get any overlap at all. + """ + started = [False, False, False] + + async def mark(i: int) -> int: + started[i] = True + return i + + tasks = concurrent_iter([(0,), (1,), (2,)], mark) + + # Give the event loop one chance to run before awaiting anything + # individually. If `concurrent_iter` were lazy, nothing would have been + # scheduled yet and `started` would still be all-False here. + await asyncio.sleep(0) + assert started == [True, True, True] + + results = [await t for t in tasks] + assert results == [0, 1, 2] + + # todo: test def test_concurrent_map() -> None: ... diff --git a/tests/test_fused_pipeline.py b/tests/test_fused_pipeline.py index fd86936853..7fa3ef2277 100644 --- a/tests/test_fused_pipeline.py +++ b/tests/test_fused_pipeline.py @@ -2,6 +2,7 @@ from __future__ import annotations +import asyncio from dataclasses import dataclass, field, replace from typing import TYPE_CHECKING, Any @@ -25,8 +26,9 @@ from zarr.storage import MemoryStore, StorePath if TYPE_CHECKING: + from zarr.abc.store import ByteRequest from zarr.core.array_spec import ArraySpec - from zarr.core.buffer import Buffer, NDBuffer + from zarr.core.buffer import Buffer, BufferPrototype, NDBuffer @pytest.mark.parametrize( @@ -439,6 +441,103 @@ def test_thread_pool_read_worker_exception_propagates() -> None: arr[:] +def test_resolve_max_workers_warns_and_falls_back_on_invalid_config() -> None: + """`codec_pipeline.max_workers` arrives via the config/env layer (e.g. + `ZARR_CODEC_PIPELINE__MAX_WORKERS`), so garbage input should warn and fall + back to the default rather than raising mid-read. + """ + import os + + import zarr.core.codec_pipeline as cp_mod + from zarr.errors import ZarrUserWarning + + default = os.cpu_count() or 1 + with zarr_config.set({"codec_pipeline.max_workers": "fast"}): + with pytest.warns(ZarrUserWarning, match="max_workers"): + result = cp_mod._resolve_max_workers() + assert result == default + + +async def test_encode_and_write_as_completed_cancels_stray_writes_on_failure() -> None: + """A failing write must not leave sibling writes running in the background. + + `_encode_and_write_as_completed` fires one write task per chunk as soon as + its encode completes, then `gather`s them. Plain `gather` (without + `return_exceptions=True`) re-raises the first exception without cancelling + the other in-flight tasks, so a still-running write would keep going after + the caller has already seen the exception -- and its eventual outcome is + never retrieved (an unraisable "Task exception was never retrieved" + warning if it later fails). + """ + from zarr.core.array_spec import ArrayConfig, ArraySpec + from zarr.core.buffer import default_buffer_prototype + from zarr.core.buffer.cpu import NDBuffer as CPUNDBuffer + from zarr.core.chunk_utils import ChunkTransform + from zarr.core.codec_pipeline import _encode_and_write_as_completed + from zarr.core.dtype import get_data_type_from_native_dtype + + write_started = asyncio.Event() + write_finished = False + + class _SlowByteSetter: + async def get( + self, prototype: BufferPrototype, byte_range: ByteRequest | None = None + ) -> Buffer | None: + return None + + async def set(self, value: Buffer) -> None: + nonlocal write_finished + write_started.set() + await asyncio.sleep(0.2) + write_finished = True + + async def delete(self) -> None: + pass + + async def set_if_not_exists(self, default: Buffer) -> None: + pass + + class _FailingByteSetter: + async def get( + self, prototype: BufferPrototype, byte_range: ByteRequest | None = None + ) -> Buffer | None: + return None + + async def set(self, value: Buffer) -> None: + raise RuntimeError("simulated write failure") + + async def delete(self) -> None: + pass + + async def set_if_not_exists(self, default: Buffer) -> None: + pass + + zdtype = get_data_type_from_native_dtype(np.dtype("uint8")) + chunk_spec = ArraySpec( + shape=(1,), + dtype=zdtype, + fill_value=zdtype.cast_scalar(0), + config=ArrayConfig(order="C", write_empty_chunks=True), + prototype=default_buffer_prototype(), + ) + chunk_array = CPUNDBuffer.from_numpy_array(np.zeros(1, dtype="uint8")) + transform = ChunkTransform(codecs=(BytesCodec(),)) + + batch = [ + (_SlowByteSetter(), chunk_array, chunk_spec), + (_FailingByteSetter(), chunk_array, chunk_spec), + ] + + with pytest.raises(RuntimeError, match="simulated write failure"): + await _encode_and_write_as_completed(batch, transform) # type: ignore[arg-type] + + assert write_started.is_set() + # Give the slow write's sleep long enough to finish if it were left + # running unattended in the background instead of being cancelled. + await asyncio.sleep(0.3) + assert not write_finished, "the slow write should have been cancelled, not left running" + + def test_concurrent_reads_shared_transform_with_pool() -> None: """Concurrent decode through the shared ChunkTransform produces correct data. diff --git a/tests/test_store/test_local.py b/tests/test_store/test_local.py index 61e48a269f..90d214ee2c 100644 --- a/tests/test_store/test_local.py +++ b/tests/test_store/test_local.py @@ -122,58 +122,6 @@ async def test_move( ): await store2.move(destination) - # --- byte-range-write tests: disabled --- - # Byte-range-write support (set_range / set_range_sync / SupportsSetRange) - # was removed from this PR pending a decision on the store interface. These - # tests are known-good and kept commented out to restore once that lands. - # def test_supports_set_range(self, store: LocalStore) -> None: - # """LocalStore should implement SupportsSetRange.""" - # assert isinstance(store, SupportsSetRange) - # - # @pytest.mark.parametrize( - # ("start", "patch", "expected"), - # [ - # (0, b"XX", b"XXAAAAAAAA"), - # (3, b"XX", b"AAAXXAAAAA"), - # (8, b"XX", b"AAAAAAAAXX"), - # (0, b"ZZZZZZZZZZ", b"ZZZZZZZZZZ"), - # (5, b"B", b"AAAAABAAAA"), - # (0, b"BCDE", b"BCDEAAAAAA"), - # ], - # ids=["start", "middle", "end", "full-overwrite", "single-byte", "multi-byte-start"], - # ) - # async def test_set_range( - # self, store: LocalStore, start: int, patch: bytes, expected: bytes - # ) -> None: - # """set_range should overwrite bytes at the given offset.""" - # await store.set("test/key", cpu.Buffer.from_bytes(b"AAAAAAAAAA")) - # await store.set_range("test/key", cpu.Buffer.from_bytes(patch), start=start) - # result = await store.get("test/key", prototype=cpu.buffer_prototype) - # assert result is not None - # assert result.to_bytes() == expected - # - # @pytest.mark.parametrize( - # ("start", "patch", "expected"), - # [ - # (0, b"XX", b"XXAAAAAAAA"), - # (3, b"XX", b"AAAXXAAAAA"), - # (8, b"XX", b"AAAAAAAAXX"), - # (0, b"ZZZZZZZZZZ", b"ZZZZZZZZZZ"), - # (5, b"B", b"AAAAABAAAA"), - # (0, b"BCDE", b"BCDEAAAAAA"), - # ], - # ids=["start", "middle", "end", "full-overwrite", "single-byte", "multi-byte-start"], - # ) - # def test_set_range_sync( - # self, store: LocalStore, start: int, patch: bytes, expected: bytes - # ) -> None: - # """set_range_sync should overwrite bytes at the given offset.""" - # sync(store.set("test/key", cpu.Buffer.from_bytes(b"AAAAAAAAAA"))) - # store.set_range_sync("test/key", cpu.Buffer.from_bytes(patch), start=start) - # result = store.get_sync(key="test/key", prototype=cpu.buffer_prototype) - # assert result is not None - # assert result.to_bytes() == expected - @pytest.mark.parametrize("exclusive", [True, False]) def test_atomic_write_successful(tmp_path: pathlib.Path, exclusive: bool) -> None: diff --git a/tests/test_store/test_memory.py b/tests/test_store/test_memory.py index a976f3738e..013dae7044 100644 --- a/tests/test_store/test_memory.py +++ b/tests/test_store/test_memory.py @@ -126,59 +126,6 @@ def test_write_does_not_alias_source_array( np.testing.assert_array_equal(array[:], expected) - # --- byte-range-write tests: disabled --- - # Byte-range-write support (set_range / set_range_sync / SupportsSetRange) - # was removed from this PR pending a decision on the store interface. These - # tests are known-good and kept commented out to restore once that lands. - # def test_supports_set_range(self, store: MemoryStore) -> None: - # """MemoryStore should implement SupportsSetRange.""" - # assert isinstance(store, SupportsSetRange) - # - # @pytest.mark.parametrize( - # ("start", "patch", "expected"), - # [ - # (0, b"XX", b"XXAAAAAAAA"), - # (3, b"XX", b"AAAXXAAAAA"), - # (8, b"XX", b"AAAAAAAAXX"), - # (0, b"ZZZZZZZZZZ", b"ZZZZZZZZZZ"), - # (5, b"B", b"AAAAABAAAA"), - # (0, b"BCDE", b"BCDEAAAAAA"), - # ], - # ids=["start", "middle", "end", "full-overwrite", "single-byte", "multi-byte-start"], - # ) - # async def test_set_range( - # self, store: MemoryStore, start: int, patch: bytes, expected: bytes - # ) -> None: - # """set_range should overwrite bytes at the given offset.""" - # await store.set("test/key", cpu.Buffer.from_bytes(b"AAAAAAAAAA")) - # await store.set_range("test/key", cpu.Buffer.from_bytes(patch), start=start) - # result = await store.get("test/key", prototype=cpu.buffer_prototype) - # assert result is not None - # assert result.to_bytes() == expected - # - # @pytest.mark.parametrize( - # ("start", "patch", "expected"), - # [ - # (0, b"XX", b"XXAAAAAAAA"), - # (3, b"XX", b"AAAXXAAAAA"), - # (8, b"XX", b"AAAAAAAAXX"), - # (0, b"ZZZZZZZZZZ", b"ZZZZZZZZZZ"), - # (5, b"B", b"AAAAABAAAA"), - # (0, b"BCDE", b"BCDEAAAAAA"), - # ], - # ids=["start", "middle", "end", "full-overwrite", "single-byte", "multi-byte-start"], - # ) - # def test_set_range_sync( - # self, store: MemoryStore, start: int, patch: bytes, expected: bytes - # ) -> None: - # """set_range_sync should overwrite bytes at the given offset.""" - # store._is_open = True - # store._store_dict["test/key"] = cpu.Buffer.from_bytes(b"AAAAAAAAAA") - # store.set_range_sync("test/key", cpu.Buffer.from_bytes(patch), start=start) - # result = store.get_sync(key="test/key", prototype=cpu.buffer_prototype) - # assert result is not None - # assert result.to_bytes() == expected - # TODO: fix this warning @pytest.mark.filterwarnings("ignore:Unclosed client session:ResourceWarning") From ec8e70ad86990e4c1bf57478fe13769885e31882 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Thu, 30 Jul 2026 12:00:36 +0000 Subject: [PATCH 2/5] chore(deps): bump the python-dependencies group across 1 directory with 11 updates (#4216) * chore(deps): bump the python-dependencies group across 1 directory with 11 updates Bumps the python-dependencies group with 11 updates in the / directory: | Package | From | To | | --- | --- | --- | | [numpy](https://github.com/numpy/numpy) | `2.5.0` | `2.5.1` | | [typer](https://github.com/fastapi/typer) | `0.26.8` | `0.27.0` | | [coverage](https://github.com/coveragepy/coveragepy) | `7.14.3` | `7.15.2` | | [hypothesis](https://github.com/HypothesisWorks/hypothesis) | `6.155.7` | `6.160.0` | | [tomlkit](https://github.com/python-poetry/tomlkit) | `0.15.0` | `0.15.1` | | [uv](https://github.com/astral-sh/uv) | `0.11.26` | `0.11.31` | | [mkdocs-material[imaging]](https://github.com/squidfunk/mkdocs-material) | `9.7.6` | `9.7.7` | | [mkdocstrings](https://github.com/mkdocstrings/mkdocstrings) | `1.0.4` | `1.0.6` | | [markdown-exec[ansi]](https://github.com/pawamoy/markdown-exec) | `1.12.1` | `1.12.3` | | [ruff](https://github.com/astral-sh/ruff) | `0.15.20` | `0.15.22` | | [mypy](https://github.com/python/mypy) | `2.1.0` | `2.3.0` | Updates `numpy` from 2.5.0 to 2.5.1 - [Release notes](https://github.com/numpy/numpy/releases) - [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst) - [Commits](https://github.com/numpy/numpy/compare/v2.5.0...v2.5.1) Updates `typer` from 0.26.8 to 0.27.0 - [Release notes](https://github.com/fastapi/typer/releases) - [Changelog](https://github.com/fastapi/typer/blob/master/docs/release-notes.md) - [Commits](https://github.com/fastapi/typer/compare/0.26.8...0.27.0) Updates `coverage` from 7.14.3 to 7.15.2 - [Release notes](https://github.com/coveragepy/coveragepy/releases) - [Changelog](https://github.com/coveragepy/coveragepy/blob/main/CHANGES.rst) - [Commits](https://github.com/coveragepy/coveragepy/compare/7.14.3...7.15.2) Updates `hypothesis` from 6.155.7 to 6.160.0 - [Release notes](https://github.com/HypothesisWorks/hypothesis/releases) - [Commits](https://github.com/HypothesisWorks/hypothesis/compare/v6.155.7...v6.160.0) Updates `tomlkit` from 0.15.0 to 0.15.1 - [Release notes](https://github.com/python-poetry/tomlkit/releases) - [Changelog](https://github.com/python-poetry/tomlkit/blob/master/CHANGELOG.md) - [Commits](https://github.com/python-poetry/tomlkit/compare/0.15.0...0.15.1) Updates `uv` from 0.11.26 to 0.11.31 - [Release notes](https://github.com/astral-sh/uv/releases) - [Changelog](https://github.com/astral-sh/uv/blob/0.11.31/CHANGELOG.md) - [Commits](https://github.com/astral-sh/uv/compare/0.11.26...0.11.31) Updates `mkdocs-material[imaging]` from 9.7.6 to 9.7.7 - [Release notes](https://github.com/squidfunk/mkdocs-material/releases) - [Changelog](https://github.com/squidfunk/mkdocs-material/blob/master/CHANGELOG) - [Commits](https://github.com/squidfunk/mkdocs-material/compare/9.7.6...9.7.7) Updates `mkdocstrings` from 1.0.4 to 1.0.6 - [Release notes](https://github.com/mkdocstrings/mkdocstrings/releases) - [Changelog](https://github.com/mkdocstrings/mkdocstrings/blob/main/CHANGELOG.md) - [Commits](https://github.com/mkdocstrings/mkdocstrings/compare/1.0.4...1.0.6) Updates `markdown-exec[ansi]` from 1.12.1 to 1.12.3 - [Release notes](https://github.com/pawamoy/markdown-exec/releases) - [Changelog](https://github.com/pawamoy/markdown-exec/blob/main/CHANGELOG.md) - [Commits](https://github.com/pawamoy/markdown-exec/compare/1.12.1...1.12.3) Updates `ruff` from 0.15.20 to 0.15.22 - [Release notes](https://github.com/astral-sh/ruff/releases) - [Changelog](https://github.com/astral-sh/ruff/blob/0.15.22/CHANGELOG.md) - [Commits](https://github.com/astral-sh/ruff/compare/0.15.20...0.15.22) Updates `mypy` from 2.1.0 to 2.3.0 - [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md) - [Commits](https://github.com/python/mypy/compare/v2.1.0...v2.3.0) --- updated-dependencies: - dependency-name: coverage dependency-version: 7.15.2 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: python-dependencies - dependency-name: hypothesis dependency-version: 6.160.0 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: python-dependencies - dependency-name: markdown-exec[ansi] dependency-version: 1.12.3 dependency-type: direct:development update-type: version-update:semver-patch dependency-group: python-dependencies - dependency-name: mkdocs-material[imaging] dependency-version: 9.7.7 dependency-type: direct:development update-type: version-update:semver-patch dependency-group: python-dependencies - dependency-name: mkdocstrings dependency-version: 1.0.6 dependency-type: direct:development update-type: version-update:semver-patch dependency-group: python-dependencies - dependency-name: mypy dependency-version: 2.3.0 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: python-dependencies - dependency-name: numpy dependency-version: 2.5.1 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: python-dependencies - dependency-name: ruff dependency-version: 0.15.22 dependency-type: direct:development update-type: version-update:semver-patch dependency-group: python-dependencies - dependency-name: tomlkit dependency-version: 0.15.1 dependency-type: direct:development update-type: version-update:semver-patch dependency-group: python-dependencies - dependency-name: typer dependency-version: 0.27.0 dependency-type: direct:production update-type: version-update:semver-minor dependency-group: python-dependencies - dependency-name: uv dependency-version: 0.11.31 dependency-type: direct:development update-type: version-update:semver-patch dependency-group: python-dependencies ... Signed-off-by: dependabot[bot] * fix: satisfy numpy 2.5.1 type stubs in indexing selection normalization numpy 2.5.1 stubs infer np.asarray() as a float64 array, so mypy now rejects the untyped asarray calls in replace_lists and CoordinateIndexer. Pass dtype=np.intp where the integer dtype is guaranteed, and cast to ArrayOfIntOrBool where the list contents are only known at runtime. Assisted-by: ClaudeCode:claude-fable-5 --------- Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Davis Bennett --- pyproject.toml | 18 +- src/zarr/core/indexing.py | 5 +- uv.lock | 675 ++++++++++++++++++++------------------ 3 files changed, 371 insertions(+), 327 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 1927ce4d7c..684ac80b77 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -94,18 +94,18 @@ homepage = "https://github.com/zarr-developers/zarr-python" # pins deliberately, e.g. via dependabot or `uv lock --upgrade`. [dependency-groups] test = [ - "coverage==7.14.3", + "coverage==7.15.2", "pytest==9.1.1", "pytest-asyncio==1.4.0", "pytest-cov==7.1.0", "pytest-accept==0.3.0", "numpydoc==1.10.0", - "hypothesis==6.155.7", + "hypothesis==6.160.0", "pytest-xdist==3.8.0", "pytest-benchmark==5.2.3", "pytest-codspeed==5.0.3", - "tomlkit==0.15.0", - "uv==0.11.26", + "tomlkit==0.15.1", + "uv==0.11.31", ] remote-tests = [ {include-group = "test"}, @@ -121,15 +121,15 @@ release = [ ] docs = [ # Doc building - "mkdocs-material[imaging]==9.7.6", + "mkdocs-material[imaging]==9.7.7", "mkdocs==1.6.1", - "mkdocstrings==1.0.4", + "mkdocstrings==1.0.6", "mkdocstrings-python==2.0.5", "mike==2.2.0", "mkdocs-redirects==1.2.3", - "markdown-exec[ansi]==1.12.1", + "markdown-exec[ansi]==1.12.3", "griffe-inherited-docstrings==1.1.3", - "ruff==0.15.20", + "ruff==0.15.22", # Changelog generation {include-group = "release"}, # Optional dependencies to run examples @@ -143,7 +143,7 @@ dev = [ {include-group = "remote-tests"}, {include-group = "docs"}, "universal-pathlib", - "mypy==2.1.0", + "mypy==2.3.0", ] [tool.coverage.report] diff --git a/src/zarr/core/indexing.py b/src/zarr/core/indexing.py index 875c22fbd3..a1b050cb7b 100644 --- a/src/zarr/core/indexing.py +++ b/src/zarr/core/indexing.py @@ -512,7 +512,8 @@ def replace_ellipsis(selection: Any, shape: tuple[int, ...]) -> SelectionNormali def replace_lists(selection: SelectionNormalized) -> SelectionNormalized: return tuple( - np.asarray(dim_sel) if isinstance(dim_sel, list) else dim_sel for dim_sel in selection + cast("ArrayOfIntOrBool", np.asarray(dim_sel)) if isinstance(dim_sel, list) else dim_sel + for dim_sel in selection ) @@ -1193,7 +1194,7 @@ def __init__( # some initial normalization selection_normalized = cast("CoordinateSelectionNormalized", ensure_tuple(selection)) selection_normalized = tuple( - np.asarray([i]) if is_integer(i) else i for i in selection_normalized + np.asarray([i], dtype=np.intp) if is_integer(i) else i for i in 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"markdown-exec", extras = ["ansi"], specifier = "==1.12.1" }, + { name = "markdown-exec", extras = ["ansi"], specifier = "==1.12.3" }, { name = "mike", specifier = "==2.2.0" }, { name = "mkdocs", specifier = "==1.6.1" }, - { name = "mkdocs-material", extras = ["imaging"], specifier = "==9.7.6" }, + { name = "mkdocs-material", extras = ["imaging"], specifier = "==9.7.7" }, { name = "mkdocs-redirects", specifier = "==1.2.3" }, - { name = "mkdocstrings", specifier = "==1.0.4" }, + { name = "mkdocstrings", specifier = "==1.0.6" }, { name = "mkdocstrings-python", specifier = "==2.0.5" }, { name = "numcodecs", extras = ["msgpack"] }, { name = "pytest", specifier = "==9.1.1" }, - { name = "ruff", specifier = "==0.15.20" }, + { name = "ruff", specifier = "==0.15.22" }, { name = "s3fs", specifier = ">=2023.10.0" }, { name = "towncrier", specifier = "==25.8.0" }, ] release = [{ name = "towncrier", specifier = "==25.8.0" }] remote-tests = [ { name = "botocore" }, - { name = "coverage", specifier = "==7.14.3" }, + { name = "coverage", specifier = "==7.15.2" }, { name = "fsspec", specifier = ">=2023.10.0" }, - { name = "hypothesis", specifier = "==6.155.7" }, + { name = "hypothesis", specifier = "==6.160.0" }, { name = "moto", extras = ["s3", "server"], specifier = "==5.2.2" }, { name = "numpydoc", specifier = "==1.10.0" }, { name = "obstore", specifier = ">=0.5.1" }, @@ -3587,12 +3630,12 @@ remote-tests = [ { name = "pytest-xdist", specifier = "==3.8.0" }, { name = "requests", specifier = "==2.34.2" }, { name = "s3fs", specifier = ">=2023.10.0" }, - { name = "tomlkit", specifier = "==0.15.0" }, - { name = "uv", specifier = "==0.11.26" }, + { name = "tomlkit", specifier = "==0.15.1" }, + { name = "uv", specifier = "==0.11.31" }, ] test = [ - { name = "coverage", specifier = "==7.14.3" }, - { name = "hypothesis", specifier = "==6.155.7" }, + { name = "coverage", specifier = "==7.15.2" }, + { name = "hypothesis", specifier = "==6.160.0" }, { name = "numpydoc", specifier = "==1.10.0" }, { name = "pytest", specifier = "==9.1.1" }, { name = "pytest-accept", specifier = "==0.3.0" }, @@ -3601,6 +3644,6 @@ test = [ { name = "pytest-codspeed", specifier = "==5.0.3" }, { name = "pytest-cov", specifier = "==7.1.0" }, { name = "pytest-xdist", specifier = "==3.8.0" }, - { name = "tomlkit", specifier = "==0.15.0" }, - { name = "uv", specifier = "==0.11.26" }, + { name = "tomlkit", specifier = "==0.15.1" }, + { name = "uv", specifier = "==0.11.31" }, ] From 57e66d92ed26eb02ca3931f253de052c0a890042 Mon Sep 17 00:00:00 2001 From: Davis Bennett Date: Thu, 30 Jul 2026 14:28:22 +0200 Subject: [PATCH 3/5] fix: reject malformed chunk keys in DefaultChunkKeyEncoding (#4219) * fix: reject malformed chunk keys in DefaultChunkKeyEncoding decode_chunk_key stripped a single leading character and split the rest, so any key at all decoded to something. "0/1" silently became (1,) -- the "0" was eaten as if it were the "c" prefix -- and a key written with one separator decoded wrongly under an encoding configured with the other. Validate the "c" prefix and raise ValueError when it is absent, so a key that is not a chunk key for this encoding is reported rather than silently misread. Adds the tests this method never had, covering the round trip for both separators and each way a key can fail to carry the prefix. Assisted-by: ClaudeCode:claude-fable-5 * Rename 250.bugfix.md to 4219.bugfix.md --- changes/4219.bugfix.md | 3 ++ src/zarr/core/chunk_key_encodings.py | 6 ++- tests/test_chunk_key_encodings.py | 65 ++++++++++++++++++++++++++++ 3 files changed, 73 insertions(+), 1 deletion(-) create mode 100644 changes/4219.bugfix.md create mode 100644 tests/test_chunk_key_encodings.py diff --git a/changes/4219.bugfix.md b/changes/4219.bugfix.md new file mode 100644 index 0000000000..728e8a7e3a --- /dev/null +++ b/changes/4219.bugfix.md @@ -0,0 +1,3 @@ +`DefaultChunkKeyEncoding.decode_chunk_key` now validates that a chunk key +starts with the configured `c` prefix and raises `ValueError` for +malformed keys, instead of silently decoding them incorrectly. diff --git a/src/zarr/core/chunk_key_encodings.py b/src/zarr/core/chunk_key_encodings.py index 098f2c8981..fb2fd95dee 100644 --- a/src/zarr/core/chunk_key_encodings.py +++ b/src/zarr/core/chunk_key_encodings.py @@ -79,7 +79,11 @@ def __post_init__(self) -> None: def decode_chunk_key(self, chunk_key: str) -> tuple[int, ...]: if chunk_key == "c": return () - return tuple(map(int, chunk_key[1:].split(self.separator))) + # Strip the "c" prefix (e.g. "c/" or "c.") before splitting. + prefix = "c" + self.separator + if chunk_key.startswith(prefix): + return tuple(map(int, chunk_key[len(prefix) :].split(self.separator))) + raise ValueError(f"Invalid chunk key for default encoding: {chunk_key!r}") def encode_chunk_key(self, chunk_coords: tuple[int, ...]) -> str: return self.separator.join(map(str, ("c",) + chunk_coords)) diff --git a/tests/test_chunk_key_encodings.py b/tests/test_chunk_key_encodings.py new file mode 100644 index 0000000000..dcc93b9249 --- /dev/null +++ b/tests/test_chunk_key_encodings.py @@ -0,0 +1,65 @@ +from __future__ import annotations + +import pytest + +from zarr.core.chunk_key_encodings import DefaultChunkKeyEncoding, V2ChunkKeyEncoding + + +@pytest.mark.parametrize("separator", ["/", "."]) +@pytest.mark.parametrize( + "coords", + [(), (0,), (1, 2), (10, 0, 3)], +) +def test_default_encoding_round_trips(separator: str, coords: tuple[int, ...]) -> None: + """Encoding coordinates and decoding the result returns the coordinates.""" + encoding = DefaultChunkKeyEncoding(separator=separator) # type: ignore[arg-type] + + key = encoding.encode_chunk_key(coords) + assert encoding.decode_chunk_key(key) == coords + + +@pytest.mark.parametrize("separator", ["/", "."]) +@pytest.mark.parametrize("coords", [(0,), (1, 2), (10, 0, 3)]) +def test_v2_encoding_round_trips(separator: str, coords: tuple[int, ...]) -> None: + """The v2 encoding round-trips coordinates for either separator.""" + encoding = V2ChunkKeyEncoding(separator=separator) # type: ignore[arg-type] + + key = encoding.encode_chunk_key(coords) + assert encoding.decode_chunk_key(key) == coords + + +@pytest.mark.parametrize("separator", ["/", "."]) +def test_v2_zero_dimensional_key_is_ambiguous(separator: str) -> None: + """A 0-d v2 array stores its sole chunk under `"0"`, the same key a 1-d + array uses for chunk 0, so decoding cannot recover the empty tuple on its + own -- the array's dimensionality is what disambiguates it.""" + encoding = V2ChunkKeyEncoding(separator=separator) # type: ignore[arg-type] + + assert encoding.encode_chunk_key(()) == "0" + assert encoding.decode_chunk_key("0") == (0,) + + +@pytest.mark.parametrize( + "chunk_key", + [ + "0/1", # no "c" prefix at all + "c0/1", # "c" not followed by the separator + "x/0/1", # wrong prefix character + "", + ], +) +def test_default_encoding_rejects_key_without_prefix(chunk_key: str) -> None: + """A key that does not carry the `c` prefix is not a chunk key + for this encoding, and must be rejected rather than silently decoded.""" + encoding = DefaultChunkKeyEncoding(separator="/") + + with pytest.raises(ValueError, match="Invalid chunk key"): + encoding.decode_chunk_key(chunk_key) + + +def test_default_encoding_rejects_key_using_the_other_separator() -> None: + """A key encoded with `.` is not valid for a `/`-separated encoding.""" + encoding = DefaultChunkKeyEncoding(separator="/") + + with pytest.raises(ValueError, match="Invalid chunk key"): + encoding.decode_chunk_key("c.0.1") From 6f52da5b8ce4e28031f4ad6c3287795fec971105 Mon Sep 17 00:00:00 2001 From: Davis Bennett Date: Thu, 30 Jul 2026 17:44:37 +0200 Subject: [PATCH 4/5] fix: gate fused sync fast paths on full store sync capability; wrappers forward it (#4206) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The fused write gate checked only SupportsSetSync, but write_sync also needs get_sync (partial-chunk read-modify-write) and delete_sync (all-fill chunk cleanup): a set-sync-only store passed the gate, wrote some chunks, then died mid-batch with TypeError. And WrapperStore forwarded no *_sync method, so every wrapped store (e.g. LatencyStore) silently lost the sync fast path — latency benchmarks measured the async fallback while claiming to measure the fused sync path. Both gates now consult _store_supports_sync_io: structural membership in SupportsSyncStore (the full get/set/delete sync surface) combined with a per-instance _supports_sync_io opt-out (absent means capable). This is a private, interim convention pending a formal sync/async store architecture — the store-side twin of the codec-side _sync_capable convention from #4179 — deliberately not new public API. WrapperStore delegates the three sync methods and forwards the wrapped store's capability, so wrapping a sync store keeps the fast path and wrapping an async-only store falls back cleanly; LoggingStore logs the delegated sync calls. LatencyStore fixes: sync reads/writes now sleep the configured latency on the worker thread; get_ranges/get_partial_values route through the latency-injecting get instead of bypassing the wrapper; _with_store passes the raw (loc, scale) latency config instead of a single sampled float, so derived stores keep the distribution. Assisted-by: ClaudeCode:claude-fable-5 --- changes/4206.bugfix.md | 1 + src/zarr/abc/store.py | 47 +++++- src/zarr/codecs/sharding.py | 4 +- src/zarr/core/codec_pipeline.py | 32 ++-- src/zarr/experimental/cache_store.py | 10 ++ src/zarr/storage/_logging.py | 21 +++ src/zarr/storage/_wrapper.py | 42 ++++- src/zarr/testing/store.py | 80 ++++++++- tests/test_codec_pipeline_suite.py | 18 ++- tests/test_experimental/test_cache_store.py | 37 +++++ tests/test_fused_pipeline.py | 170 +++++++++++++++++++- tests/test_store/test_get_ranges.py | 8 +- tests/test_store/test_latency.py | 108 +++++++++++++ tests/test_store/test_wrapper.py | 50 +++++- 14 files changed, 596 insertions(+), 32 deletions(-) create mode 100644 changes/4206.bugfix.md diff --git a/changes/4206.bugfix.md b/changes/4206.bugfix.md new file mode 100644 index 0000000000..a01c969449 --- /dev/null +++ b/changes/4206.bugfix.md @@ -0,0 +1 @@ +Fixed `FusedCodecPipeline`'s gating of its synchronous fast paths: stores exposing only part of the sync surface (e.g. `set_sync` without `get_sync`) now fall back cleanly to the async path instead of failing mid-write, and `WrapperStore` now forwards `get_sync`/`set_sync`/`delete_sync` to the wrapped store so wrapped sync-capable stores keep the fast path. The capability decision uses a private, interim convention (`zarr.abc.store._store_supports_sync_io`) rather than new public API, pending a formal sync/async store architecture. Also fixed `LatencyStore`: synchronous reads and writes now pay the configured latency, `get_ranges`/`get_partial_values` no longer bypass latency injection, and derived stores (e.g. from `with_read_only`) keep a stochastic `(loc, scale)` latency configuration instead of freezing a single sample. diff --git a/src/zarr/abc/store.py b/src/zarr/abc/store.py index c60d2468c5..af528ec533 100644 --- a/src/zarr/abc/store.py +++ b/src/zarr/abc/store.py @@ -662,6 +662,15 @@ def delete_sync(self) -> None: ... @runtime_checkable class SupportsGetSync(Protocol): + """Store protocol for synchronous reads (`get_sync`). + + The store sync surface is all-or-nothing: a store implementing any of the + `*_sync` methods must implement all of them (`SupportsSyncStore`), because + consumers mix sync reads, writes, and deletes within one operation. + Capability-gated callers consult `_store_supports_sync_io` rather than the + individual protocols. + """ + def get_sync( self, key: str, @@ -673,16 +682,52 @@ def get_sync( @runtime_checkable class SupportsSetSync(Protocol): + """Store protocol for synchronous writes (`set_sync`). + + See `SupportsGetSync` for the all-or-nothing contract on the store sync + surface. + """ + def set_sync(self, key: str, value: Buffer) -> None: ... @runtime_checkable class SupportsDeleteSync(Protocol): + """Store protocol for synchronous deletes (`delete_sync`). + + See `SupportsGetSync` for the all-or-nothing contract on the store sync + surface. + """ + def delete_sync(self, key: str) -> None: ... @runtime_checkable -class SupportsSyncStore(SupportsGetSync, SupportsSetSync, SupportsDeleteSync, Protocol): ... +class SupportsSyncStore(SupportsGetSync, SupportsSetSync, SupportsDeleteSync, Protocol): + """The full store sync surface: `get_sync`, `set_sync`, and `delete_sync`.""" + + +def _store_supports_sync_io(store: object) -> bool: + """Whether `store` can serve the full synchronous IO surface right now. + + Structural membership in `SupportsSyncStore` is necessary but not always + sufficient: a store can present the `*_sync` methods while its ability to + run them depends on runtime state the type system cannot see. Wrapper + stores are the canonical case — `WrapperStore` delegates the sync methods + to the store it wraps, so they only work when the wrapped store is itself + sync-capable. Such stores opt out dynamically via a `_supports_sync_io` + attribute/property (absent means capable). + + This is an interim, private convention pending a formal sync/async store + architecture — the store-side twin of the codec-side `_sync_capable` + convention consulted by `zarr.abc.codec._codec_supports_sync`. + + Synchronous IO is all-or-nothing: consumers such as the fused codec + pipeline mix synchronous reads, writes, and deletes within one batch + (e.g. a partial-chunk write reads existing bytes and an all-fill chunk is + deleted), so a partial sync surface never satisfies this predicate. + """ + return isinstance(store, SupportsSyncStore) and getattr(store, "_supports_sync_io", True) async def set_or_delete(byte_setter: ByteSetter, value: Buffer | None) -> None: diff --git a/src/zarr/codecs/sharding.py b/src/zarr/codecs/sharding.py index cdfdae6c89..d8ca8bdf62 100644 --- a/src/zarr/codecs/sharding.py +++ b/src/zarr/codecs/sharding.py @@ -23,7 +23,7 @@ RangeByteRequest, Store, SuffixByteRequest, - SupportsGetSync, + _store_supports_sync_io, ) from zarr.codecs._deprecated_enum import _coerce_enum_input, _DeprecatedStrEnumMeta from zarr.codecs.bytes import BytesCodec @@ -1721,7 +1721,7 @@ def _load_partial_shard_maybe_sync( shard_dict: ShardMutableMapping = {} store = byte_getter.store if hasattr(byte_getter, "store") else None - if isinstance(store, Store) and isinstance(store, SupportsGetSync): + if isinstance(store, Store) and _store_supports_sync_io(store): # External store: coalesce via get_ranges_sync (mirrors get_ranges). byte_ranges = [byte_range for _, byte_range in chunk_coord_byte_ranges] try: diff --git a/src/zarr/core/codec_pipeline.py b/src/zarr/core/codec_pipeline.py index 92fd0970fe..597f338c42 100644 --- a/src/zarr/core/codec_pipeline.py +++ b/src/zarr/core/codec_pipeline.py @@ -331,8 +331,8 @@ async def _async_read_fallback( then scatters each decoded chunk into `out` at its `out_selection`. Used by both `BatchedCodecPipeline.read_batch` (non-partial-decode - branch) and `FusedCodecPipeline.read` (when the store is not a - `SupportsGetSync` / sync transform is unavailable). + branch) and `FusedCodecPipeline.read` (when the store does not advertise + sync IO / sync transform is unavailable). """ chunk_array_batch: list[NDBuffer | None] @@ -393,8 +393,8 @@ async def _async_write_fallback( if encoding produced `None` or the chunk dropped). Used by both `BatchedCodecPipeline.write_batch` (non-partial-encode - branch) and `FusedCodecPipeline.write` (when the store is not a - `SupportsSetSync` / sync transform is unavailable). + branch) and `FusedCodecPipeline.write` (when the store does not advertise + sync IO / sync transform is unavailable). """ if use_sync := ( @@ -1265,16 +1265,17 @@ async def read( return () # Fast path: sync transform plus synchronous IO. For StorePath the gate - # is on the STORE's sync support (StorePath always has a get_sync - # method, but it only works when its store does); for other byte - # getters (e.g. the sharding codec's in-memory _ShardingByteGetter) the - # SyncByteGetter protocol is the gate. - from zarr.abc.store import SupportsGetSync, SyncByteGetter + # is the STORE's sync-IO capability (`_store_supports_sync_io`) (StorePath always has a + # get_sync method, but it only works when its store implements the full + # sync surface); for other byte getters (e.g. the sharding codec's + # in-memory _ShardingByteGetter) the SyncByteGetter protocol is the + # gate. + from zarr.abc.store import SyncByteGetter, _store_supports_sync_io from zarr.storage._common import StorePath first_bg = batch[0][0] if self.sync_transform is not None and ( - (isinstance(first_bg, StorePath) and isinstance(first_bg.store, SupportsGetSync)) + (isinstance(first_bg, StorePath) and _store_supports_sync_io(first_bg.store)) or (not isinstance(first_bg, StorePath) and isinstance(first_bg, SyncByteGetter)) ): # One thread hop for the WHOLE batch — not per chunk, so the fused @@ -1328,14 +1329,17 @@ async def write( return # Fast path: sync transform plus synchronous IO. Mirrors `read`: gate - # StorePath on the store's sync support, other byte setters (e.g. the - # sharding codec's in-memory _ShardingByteSetter) on SyncByteSetter. - from zarr.abc.store import SupportsSetSync, SyncByteSetter + # StorePath on the store's sync-IO capability (`_store_supports_sync_io`) — write_sync + # needs the FULL sync surface (get_sync for partial-chunk + # read-modify-write, delete_sync for all-fill chunks), not just + # set_sync — and other byte setters (e.g. the sharding codec's + # in-memory _ShardingByteSetter) on SyncByteSetter. + from zarr.abc.store import SyncByteSetter, _store_supports_sync_io from zarr.storage._common import StorePath first_bs = batch[0][0] if self.sync_transform is not None and ( - (isinstance(first_bs, StorePath) and isinstance(first_bs.store, SupportsSetSync)) + (isinstance(first_bs, StorePath) and _store_supports_sync_io(first_bs.store)) or (not isinstance(first_bs, StorePath) and isinstance(first_bs, SyncByteSetter)) ): # One thread hop for the whole batch; see the matching comment in diff --git a/src/zarr/experimental/cache_store.py b/src/zarr/experimental/cache_store.py index dd50693ad9..20cb4d4c0f 100644 --- a/src/zarr/experimental/cache_store.py +++ b/src/zarr/experimental/cache_store.py @@ -329,6 +329,16 @@ async def _get_no_cache( await self._cache_miss(key, byte_range, result) return result + @property + def _supports_sync_io(self) -> bool: + # The caching logic lives only in the async get/set/delete overrides; + # the sync methods inherited from `WrapperStore` delegate straight to + # the source store, so a sync-capable consumer (the fused codec + # pipeline) would write and delete around the cache, leaving stale + # entries that later async reads serve as current data. Opt out of + # sync IO until the sync surface is cache-aware. + return False + async def get( self, key: str, diff --git a/src/zarr/storage/_logging.py b/src/zarr/storage/_logging.py index c6f58ccd61..cdf0731430 100644 --- a/src/zarr/storage/_logging.py +++ b/src/zarr/storage/_logging.py @@ -204,6 +204,27 @@ async def delete(self, key: str) -> None: with self.log(key): return await self._store.delete(key=key) + def get_sync( + self, + key: str, + *, + prototype: BufferPrototype | None = None, + byte_range: ByteRequest | None = None, + ) -> Buffer | None: + # docstring inherited + with self.log(key): + return super().get_sync(key, prototype=prototype, byte_range=byte_range) + + def set_sync(self, key: str, value: Buffer) -> None: + # docstring inherited + with self.log(key): + return super().set_sync(key, value) + + def delete_sync(self, key: str) -> None: + # docstring inherited + with self.log(key): + return super().delete_sync(key) + async def list(self) -> AsyncGenerator[str, None]: # docstring inherited with self.log(): diff --git a/src/zarr/storage/_wrapper.py b/src/zarr/storage/_wrapper.py index 37aeb8166f..6f498a655d 100644 --- a/src/zarr/storage/_wrapper.py +++ b/src/zarr/storage/_wrapper.py @@ -11,7 +11,13 @@ from zarr.abc.store import ByteRequest from zarr.core.buffer import BufferPrototype -from zarr.abc.store import Store +from zarr.abc.store import ( + Store, + SupportsDeleteSync, + SupportsGetSync, + SupportsSetSync, + _store_supports_sync_io, +) class WrapperStore[T_Store: Store](Store): @@ -149,6 +155,40 @@ def supports_writes(self) -> bool: def supports_deletes(self) -> bool: return self._store.supports_deletes + @property + def _supports_sync_io(self) -> bool: + # The delegating `*_sync` methods below make every wrapper structurally + # satisfy `SupportsSyncStore`; whether they can actually run depends on + # the wrapped store, so forward its capability (see + # `zarr.abc.store._store_supports_sync_io`). + return _store_supports_sync_io(self._store) + + def get_sync( + self, + key: str, + *, + prototype: BufferPrototype | None = None, + byte_range: ByteRequest | None = None, + ) -> Buffer | None: + """Forward `get_sync` to the wrapped store.""" + if not isinstance(self._store, SupportsGetSync): + raise TypeError(f"Store {type(self._store).__name__} does not support synchronous get.") + return self._store.get_sync(key, prototype=prototype, byte_range=byte_range) # type: ignore[unreachable] + + def set_sync(self, key: str, value: Buffer) -> None: + """Forward `set_sync` to the wrapped store.""" + if not isinstance(self._store, SupportsSetSync): + raise TypeError(f"Store {type(self._store).__name__} does not support synchronous set.") + self._store.set_sync(key, value) # type: ignore[unreachable] + + def delete_sync(self, key: str) -> None: + """Forward `delete_sync` to the wrapped store.""" + if not isinstance(self._store, SupportsDeleteSync): + raise TypeError( + f"Store {type(self._store).__name__} does not support synchronous delete." + ) + self._store.delete_sync(key) # type: ignore[unreachable] + async def delete(self, key: str) -> None: await self._store.delete(key) diff --git a/src/zarr/testing/store.py b/src/zarr/testing/store.py index d7011440e0..f64d8e9364 100644 --- a/src/zarr/testing/store.py +++ b/src/zarr/testing/store.py @@ -2,6 +2,7 @@ import asyncio import pickle +import time from abc import abstractmethod from typing import TYPE_CHECKING, Self @@ -10,6 +11,7 @@ from zarr.storage import WrapperStore if TYPE_CHECKING: + from collections.abc import AsyncIterator, Iterable, Sequence from typing import Any from zarr.core.buffer.core import BufferPrototype @@ -718,7 +720,10 @@ def set_latency(self) -> float: return max(0.0, np.random.normal(loc=self._set_latency[0], scale=self._set_latency[1])) def _with_store(self, store: Store) -> Self: - return type(self)(store, get_latency=self.get_latency, set_latency=self.set_latency) + # Pass the raw latency config, not the sampled `get_latency`/`set_latency` + # properties — sampling would freeze a `(loc, scale)` distribution into + # one fixed float on derived stores (e.g. via `with_read_only`). + return type(self)(store, get_latency=self._get_latency, set_latency=self._set_latency) async def set(self, key: str, value: Buffer) -> None: """ @@ -763,3 +768,76 @@ async def get( """ await asyncio.sleep(self.get_latency) return await self._store.get(key, prototype=prototype, byte_range=byte_range) + + def get_sync( + self, + key: str, + *, + prototype: BufferPrototype | None = None, + byte_range: ByteRequest | None = None, + ) -> Buffer | None: + """Add latency to `get_sync`. + + Sleeps `self.get_latency` on the calling thread (the sync path runs on + worker threads, not the event loop) before delegating to the wrapped + store. + """ + time.sleep(self.get_latency) + return super().get_sync(key, prototype=prototype, byte_range=byte_range) + + def set_sync(self, key: str, value: Buffer) -> None: + """Add latency to `set_sync`. + + Sleeps `self.set_latency` on the calling thread (the sync path runs on + worker threads, not the event loop) before delegating to the wrapped + store. + """ + time.sleep(self.set_latency) + super().set_sync(key, value) + + async def get_ranges( + self, + key: str, + byte_ranges: Sequence[ByteRequest | None], + *, + prototype: BufferPrototype, + max_concurrency: int | None = None, + max_gap_bytes: int | None = None, + max_coalesced_bytes: int | None = None, + ) -> AsyncIterator[Sequence[tuple[int, Buffer | None]]]: + """Byte-range reads built on `self.get`, so each fetch pays latency. + + Routes through the coalescing `Store.get_ranges` default instead of the + `WrapperStore` delegation, which would bypass this wrapper's `get` and + therefore the synthetic latency. `None` for a coalescing kwarg means + "use the `Store` default". + """ + kwargs: dict[str, int] = {} + if max_concurrency is not None: + kwargs["max_concurrency"] = max_concurrency + if max_gap_bytes is not None: + kwargs["max_gap_bytes"] = max_gap_bytes + if max_coalesced_bytes is not None: + kwargs["max_coalesced_bytes"] = max_coalesced_bytes + async for group in Store.get_ranges(self, key, byte_ranges, prototype=prototype, **kwargs): + yield group + + async def get_partial_values( + self, + prototype: BufferPrototype, + key_ranges: Iterable[tuple[str, ByteRequest | None]], + ) -> list[Buffer | None]: + """Partial-value reads built on `self.get`, so each fetch pays latency. + + Issues one `self.get` per `(key, byte_range)` pair instead of the + `WrapperStore` delegation, which would bypass this wrapper's `get` and + therefore the synthetic latency. + """ + return list( + await asyncio.gather( + *( + self.get(key, prototype=prototype, byte_range=byte_range) + for key, byte_range in key_ranges + ) + ) + ) diff --git a/tests/test_codec_pipeline_suite.py b/tests/test_codec_pipeline_suite.py index 07e1aa2ec4..f0376d185a 100644 --- a/tests/test_codec_pipeline_suite.py +++ b/tests/test_codec_pipeline_suite.py @@ -9,8 +9,8 @@ Each test also runs over a *store axis* that exercises both code paths the synchronous pipelines branch on: -* ``sync`` -> ``MemoryStore`` (supports ``get_sync``/``set_sync``: fast path) -* ``async`` -> ``LatencyStore(MemoryStore())`` (NOT sync-capable: async fallback) +* ``sync`` -> ``MemoryStore`` (full sync surface: fast path) +* ``async`` -> ``_NoSyncIOStore(MemoryStore())`` (NOT sync-capable: async fallback) The async axis is deliberate: a regression that only affects the async fallback of the default pipeline (e.g. a codec-spec-evolution bug that surfaces only on @@ -50,14 +50,22 @@ STORE_KINDS = ["sync", "async"] +class _NoSyncIOStore(LatencyStore): + """An in-memory store that advertises no sync IO capability, so a + synchronous pipeline must fall back to its async path. (A plain wrapper + won't do: `WrapperStore` forwards the wrapped store's sync capability.)""" + + @property + def _supports_sync_io(self) -> bool: + return False + + def _make_store(kind: str) -> Store: if kind == "sync": # MemoryStore supports get_sync/set_sync -> synchronous fast path. return MemoryStore() if kind == "async": - # LatencyStore is NOT SupportsGetSync/SupportsSetSync, so a synchronous - # pipeline must fall back to its async path. Zero latency keeps it fast. - return LatencyStore(MemoryStore(), get_latency=0.0, set_latency=0.0) + return _NoSyncIOStore(MemoryStore(), get_latency=0.0, set_latency=0.0) raise AssertionError(kind) diff --git a/tests/test_experimental/test_cache_store.py b/tests/test_experimental/test_cache_store.py index 5ad56a4335..f688a6ca02 100644 --- a/tests/test_experimental/test_cache_store.py +++ b/tests/test_experimental/test_cache_store.py @@ -1036,3 +1036,40 @@ async def test_delete_invalidates_cached_byte_ranges(self) -> None: # Key is gone from source result = await cached_store.get("key", proto) assert result is None + + +def test_cache_store_opts_out_of_sync_io() -> None: + """`CacheStore` must not advertise sync IO capability. + + Its caching logic lives only in the async `get`/`set`/`delete` overrides, + while the inherited `WrapperStore` sync methods delegate straight to the + source store. If the fused codec pipeline took the sync fast path, writes + and deletes would bypass the cache and later async reads would serve stale + entries. The opt-out forces sync-capable consumers onto the async path, + which keeps the cache coherent. + """ + from zarr.abc.store import _store_supports_sync_io + from zarr.storage import MemoryStore + + cached = CacheStore(MemoryStore(), cache_store=MemoryStore()) + assert _store_supports_sync_io(cached) is False + + +async def test_cache_coherent_after_fused_pipeline_write() -> None: + """Writing through the fused pipeline must not leave stale cache entries.""" + import numpy as np + + import zarr + from zarr.core.config import config as zarr_config + from zarr.storage import MemoryStore + + source = MemoryStore() + cached = CacheStore(source, cache_store=MemoryStore()) + with zarr_config.set({"codec_pipeline.path": "zarr.core.codec_pipeline.FusedCodecPipeline"}): + arr = zarr.create_array(cached, shape=(8,), chunks=(8,), dtype="int32", fill_value=0) + arr[:] = np.arange(8, dtype="int32") + np.testing.assert_array_equal(arr[:], np.arange(8)) + # Overwrite, then read back through the same cached handle: the read + # must observe the overwrite, not a cached copy of the first write. + arr[:] = np.arange(100, 108, dtype="int32") + np.testing.assert_array_equal(arr[:], np.arange(100, 108)) diff --git a/tests/test_fused_pipeline.py b/tests/test_fused_pipeline.py index 7fa3ef2277..5c712fa97a 100644 --- a/tests/test_fused_pipeline.py +++ b/tests/test_fused_pipeline.py @@ -16,6 +16,7 @@ ArrayBytesCodecPartialEncodeMixin, BytesBytesCodec, ) +from zarr.abc.store import Store, _store_supports_sync_io from zarr.codecs.bytes import BytesCodec from zarr.codecs.gzip import GzipCodec from zarr.codecs.transpose import TransposeCodec @@ -23,9 +24,13 @@ from zarr.core.codec_pipeline import FusedCodecPipeline from zarr.core.config import config as zarr_config from zarr.registry import register_codec -from zarr.storage import MemoryStore, StorePath +from zarr.storage import MemoryStore, StorePath, WrapperStore +from zarr.storage._utils import _normalize_byte_range_index +from zarr.testing.store import LatencyStore if TYPE_CHECKING: + from collections.abc import AsyncIterator, Callable, Iterable + from zarr.abc.store import ByteRequest from zarr.core.array_spec import ArraySpec from zarr.core.buffer import Buffer, BufferPrototype, NDBuffer @@ -1065,3 +1070,166 @@ def test_partial_mixin_codec_async_partial_only_round_trip(dtype: str) -> None: with zarr_config.set(_BATCHED): np.testing.assert_array_equal(zarr.open_array(store, mode="r")[:], expected) + + +# Sync-IO capability gating (`zarr.abc.store._store_supports_sync_io`) +# +# The fused read/write fast paths must engage iff the store advertises the +# FULL synchronous IO surface (get_sync + set_sync + delete_sync): write_sync +# needs get_sync for partial-chunk read-modify-write and delete_sync for +# all-fill chunk cleanup, so gating on any single protocol can crash +# mid-batch. Wrappers must forward the capability of the wrapped store. +# --------------------------------------------------------------------------- + + +class AsyncOnlyStore(Store): + """Dict-backed store implementing only the async `Store` surface (no `*_sync`).""" + + def __init__(self) -> None: + super().__init__(read_only=False) + self._data: dict[str, Buffer] = {} + + def __eq__(self, other: object) -> bool: + return other is self + + @property + def supports_writes(self) -> bool: + return True + + @property + def supports_deletes(self) -> bool: + return True + + @property + def supports_listing(self) -> bool: + return True + + async def get( + self, key: str, prototype: BufferPrototype, byte_range: ByteRequest | None = None + ) -> Buffer | None: + try: + value = self._data[key] + except KeyError: + return None + start, stop = _normalize_byte_range_index(value, byte_range) + return prototype.buffer.from_buffer(value[start:stop]) + + async def get_partial_values( + self, + prototype: BufferPrototype, + key_ranges: Iterable[tuple[str, ByteRequest | None]], + ) -> list[Buffer | None]: + return [await self.get(key, prototype, byte_range) for key, byte_range in key_ranges] + + async def exists(self, key: str) -> bool: + return key in self._data + + async def set(self, key: str, value: Buffer) -> None: + self._check_writable() + self._data[key] = value + + async def delete(self, key: str) -> None: + self._check_writable() + self._data.pop(key, None) + + async def list(self) -> AsyncIterator[str]: + for key in list(self._data): + yield key + + async def list_prefix(self, prefix: str) -> AsyncIterator[str]: + for key in list(self._data): + if key.startswith(prefix): + yield key + + async def list_dir(self, prefix: str) -> AsyncIterator[str]: + if prefix and not prefix.endswith("/"): + prefix += "/" + seen: set[str] = set() + for key in list(self._data): + if key.startswith(prefix): + head = key.removeprefix(prefix).split("/")[0] + if head not in seen: + seen.add(head) + yield head + + +class SetOnlySyncStore(AsyncOnlyStore): + """Implements `set_sync` but not `get_sync`/`delete_sync` (partial sync surface).""" + + def set_sync(self, key: str, value: Buffer) -> None: + self._check_writable() + self._data[key] = value + + +@pytest.mark.parametrize( + ("store_factory", "expect_sync_path"), + [ + (MemoryStore, True), + (lambda: WrapperStore(MemoryStore()), True), + (lambda: LatencyStore(MemoryStore()), True), + (SetOnlySyncStore, False), + (lambda: WrapperStore(AsyncOnlyStore()), False), + ], + ids=[ + "full-sync", + "wrapper-of-sync", + "latency-wrapper-of-sync", + "set-sync-only", + "wrapper-of-async-only", + ], +) +def test_sync_io_capability_gates_fused_paths( + store_factory: Callable[[], Store], expect_sync_path: bool +) -> None: + """The fused pipeline takes the sync fast path iff the store satisfies + `_store_supports_sync_io`, + and every store round-trips correctly through full writes, partial + (read-modify-write) writes, and all-fill (delete) writes — a store with a + partial sync surface must get a clean async fallback, never a mid-batch + error.""" + from unittest.mock import patch + + store = store_factory() + assert _store_supports_sync_io(store) is expect_sync_path + + calls = {"read_sync": 0, "write_sync": 0} + orig_read_sync = FusedCodecPipeline.read_sync + orig_write_sync = FusedCodecPipeline.write_sync + + def spy_read_sync(self: FusedCodecPipeline, *args: Any, **kwargs: Any) -> Any: + calls["read_sync"] += 1 + return orig_read_sync(self, *args, **kwargs) + + def spy_write_sync(self: FusedCodecPipeline, *args: Any, **kwargs: Any) -> Any: + calls["write_sync"] += 1 + return orig_write_sync(self, *args, **kwargs) + + with zarr_config.set({"codec_pipeline.path": "zarr.core.codec_pipeline.FusedCodecPipeline"}): + arr = zarr.create_array( + store=store, + shape=(8,), + chunks=(4,), + dtype="uint8", + compressors=None, + fill_value=0, + ) + assert isinstance(arr._async_array.codec_pipeline, FusedCodecPipeline) + with ( + patch.object(FusedCodecPipeline, "read_sync", spy_read_sync), + patch.object(FusedCodecPipeline, "write_sync", spy_write_sync), + ): + data = np.arange(8, dtype="uint8") + arr[:] = data # complete-chunk writes + arr[:3] = 7 # partial write -> read-modify-write needs get + data[:3] = 7 + np.testing.assert_array_equal(arr[:], data) + arr[4:8] = 0 # all-fill chunk -> delete needed + data[4:8] = 0 + np.testing.assert_array_equal(arr[:], data) + + if expect_sync_path: + assert calls["write_sync"] > 0, "sync-capable store did not take the sync write path" + assert calls["read_sync"] > 0, "sync-capable store did not take the sync read path" + else: + assert calls["write_sync"] == 0, "non-sync store took the sync write path" + assert calls["read_sync"] == 0, "non-sync store took the sync read path" diff --git a/tests/test_store/test_get_ranges.py b/tests/test_store/test_get_ranges.py index f04251adf4..522d6565aa 100644 --- a/tests/test_store/test_get_ranges.py +++ b/tests/test_store/test_get_ranges.py @@ -16,12 +16,12 @@ from zarr.abc.store import RangeByteRequest from zarr.core.buffer import default_buffer_prototype -from zarr.storage import MemoryStore +from zarr.storage import MemoryStore, ZipStore from zarr.storage._wrapper import WrapperStore -from zarr.testing.store import LatencyStore if TYPE_CHECKING: from collections.abc import AsyncIterator, Sequence + from pathlib import Path from zarr.abc.store import ByteRequest from zarr.core.buffer import Buffer, BufferPrototype @@ -89,11 +89,11 @@ def test_get_ranges_sync_missing_key_raises() -> None: store.get_ranges_sync("does-not-exist", [RangeByteRequest(0, 10)], prototype=proto) -def test_get_ranges_sync_on_non_sync_store_raises_type_error() -> None: +def test_get_ranges_sync_on_non_sync_store_raises_type_error(tmp_path: Path) -> None: """`get_ranges_sync` requires the store to support synchronous reads (`SupportsGetSync`); a non-sync store raises TypeError rather than silently falling back.""" - store = LatencyStore(MemoryStore(), get_latency=0.0, set_latency=0.0) + store = ZipStore(tmp_path / "store.zip", mode="w") proto = default_buffer_prototype() with pytest.raises(TypeError, match="does not support synchronous reads"): store.get_ranges_sync("k", [RangeByteRequest(0, 10)], prototype=proto) diff --git a/tests/test_store/test_latency.py b/tests/test_store/test_latency.py index 38ffb17dd6..9cb71fd6a0 100644 --- a/tests/test_store/test_latency.py +++ b/tests/test_store/test_latency.py @@ -1,8 +1,16 @@ from __future__ import annotations +import time +from unittest.mock import patch + +import numpy as np import pytest +import zarr +from zarr.abc.store import RangeByteRequest from zarr.core.buffer import default_buffer_prototype +from zarr.core.codec_pipeline import FusedCodecPipeline +from zarr.core.config import config as zarr_config from zarr.storage import MemoryStore from zarr.testing.store import LatencyStore @@ -55,3 +63,103 @@ async def test_latency_store_with_read_only_round_trip() -> None: # The original read-only wrapper remains read-only assert latency_ro.read_only + + +@pytest.mark.parametrize( + ("get_latency", "set_latency"), + [ + (0.01, 0.02), + ((0.1, 0.05), (0.2, 0.01)), + ], + ids=["scalar", "distribution"], +) +def test_with_store_preserves_latency_config( + get_latency: float | tuple[float, float], set_latency: float | tuple[float, float] +) -> None: + """Derived stores (e.g. via `with_read_only`) keep the raw latency config — + a `(loc, scale)` distribution must not collapse to one sampled float.""" + store = LatencyStore(MemoryStore(), get_latency=get_latency, set_latency=set_latency) + derived = store.with_read_only(True) + assert derived._get_latency == store._get_latency + assert derived._set_latency == store._set_latency + + +def test_sync_methods_inject_latency(monkeypatch: pytest.MonkeyPatch) -> None: + """`get_sync`/`set_sync` sleep the configured latency on the calling thread + before delegating to the wrapped store.""" + sleeps: list[float] = [] + monkeypatch.setattr(time, "sleep", sleeps.append) + + store = LatencyStore(MemoryStore(), get_latency=0.123, set_latency=0.456) + buf = default_buffer_prototype().buffer.from_bytes(b"abcd") + store.set_sync("key", buf) + assert sleeps == [pytest.approx(0.456)] + out = store.get_sync("key", prototype=default_buffer_prototype()) + assert out is not None + assert out.to_bytes() == b"abcd" + assert sleeps == [pytest.approx(0.456), pytest.approx(0.123)] + + +async def test_get_ranges_pays_latency_per_fetch() -> None: + """`get_ranges` routes through the coalescing default built on `self.get`, + so each merged fetch pays the configured latency instead of bypassing it + via WrapperStore delegation. Two ranges further apart than `max_gap_bytes` + cannot coalesce -> exactly two `get` calls.""" + proto = default_buffer_prototype() + inner = MemoryStore() + await inner.set("blob", proto.buffer.from_bytes(bytes(4 << 20))) + store = LatencyStore(inner, get_latency=0.0) + + requests = [RangeByteRequest(0, 10), RangeByteRequest(2 << 20, (2 << 20) + 10)] + results: list[tuple[int, object]] = [] + with patch.object(store, "get", wraps=store.get) as get_spy: + async for group in store.get_ranges("blob", requests, prototype=proto): + results.extend(group) + assert get_spy.await_count == 2 + assert sorted(idx for idx, _ in results) == [0, 1] + for _, buf in results: + assert buf is not None + assert len(buf) == 10 # type: ignore[arg-type] + + +async def test_get_partial_values_routes_through_get() -> None: + """`get_partial_values` issues one `self.get` per key-range so each fetch + pays the configured latency instead of bypassing it via WrapperStore + delegation.""" + proto = default_buffer_prototype() + inner = MemoryStore() + await inner.set("blob", proto.buffer.from_bytes(b"0123456789")) + store = LatencyStore(inner, get_latency=0.0) + + with patch.object(store, "get", wraps=store.get) as get_spy: + results = await store.get_partial_values( + proto, [("blob", RangeByteRequest(0, 4)), ("blob", None)] + ) + assert get_spy.await_count == 2 + assert results[0] is not None + assert results[0].to_bytes() == b"0123" + assert results[1] is not None + assert results[1].to_bytes() == b"0123456789" + + +def test_latency_store_engages_fused_sync_path() -> None: + """A LatencyStore wrapping a sync-capable store must take the fused sync + fast path: reads go through the inner store's `get_sync`, not the async + fallback.""" + inner = MemoryStore() + store = LatencyStore(inner, get_latency=0.0, set_latency=0.0) + with zarr_config.set({"codec_pipeline.path": "zarr.core.codec_pipeline.FusedCodecPipeline"}): + arr = zarr.create_array( + store=store, + shape=(8,), + chunks=(4,), + dtype="uint8", + compressors=None, + fill_value=0, + ) + assert isinstance(arr._async_array.codec_pipeline, FusedCodecPipeline) + data = np.arange(8, dtype="uint8") + arr[:] = data + with patch.object(inner, "get_sync", wraps=inner.get_sync) as get_sync_spy: + np.testing.assert_array_equal(arr[:], data) + assert get_sync_spy.call_count == 2 # one per chunk diff --git a/tests/test_store/test_wrapper.py b/tests/test_store/test_wrapper.py index b34a63d5d0..e556a108c5 100644 --- a/tests/test_store/test_wrapper.py +++ b/tests/test_store/test_wrapper.py @@ -4,12 +4,12 @@ import pytest -from zarr.abc.store import ByteRequest, Store +from zarr.abc.store import ByteRequest, Store, _store_supports_sync_io from zarr.core.buffer import Buffer from zarr.core.buffer.cpu import Buffer as CPUBuffer from zarr.core.buffer.cpu import buffer_prototype -from zarr.storage import LocalStore, WrapperStore -from zarr.testing.store import StoreTests +from zarr.storage import LocalStore, MemoryStore, WrapperStore, ZipStore +from zarr.testing.store import LatencyStore, StoreTests if TYPE_CHECKING: from pathlib import Path @@ -123,3 +123,47 @@ async def get( await store_wrapped.get(key, buffer_prototype) captured = capsys.readouterr() assert f"getting {key}" in captured.out + + +@pytest.mark.parametrize( + ("store_factory", "expected"), + [ + (lambda tmp: MemoryStore(), True), + (lambda tmp: LocalStore(str(tmp)), True), + (lambda tmp: WrapperStore(MemoryStore()), True), + (lambda tmp: LatencyStore(MemoryStore()), True), + (lambda tmp: ZipStore(tmp / "store.zip", mode="w"), False), + (lambda tmp: WrapperStore(ZipStore(tmp / "store.zip", mode="w")), False), + ], + ids=[ + "memory", + "local", + "wrapper-of-memory", + "latency-wrapper-of-memory", + "zip", + "wrapper-of-zip", + ], +) +def test_supports_sync_io(store_factory: Any, expected: bool, tmp_path: Path | Any) -> None: + """`_store_supports_sync_io` is True only for stores implementing the full + sync surface (get_sync + set_sync + delete_sync); wrappers forward the + wrapped store's capability via `_supports_sync_io`.""" + assert _store_supports_sync_io(store_factory(tmp_path)) is expected + + +def test_wrapper_get_sync_without_inner_sync_raises(tmp_path: Any) -> None: + store = WrapperStore(ZipStore(tmp_path / "store.zip", mode="w")) + with pytest.raises(TypeError, match="does not support synchronous get"): + store.get_sync("key") + + +def test_wrapper_set_sync_without_inner_sync_raises(tmp_path: Any) -> None: + store = WrapperStore(ZipStore(tmp_path / "store.zip", mode="w")) + with pytest.raises(TypeError, match="does not support synchronous set"): + store.set_sync("key", CPUBuffer.from_bytes(b"data")) + + +def test_wrapper_delete_sync_without_inner_sync_raises(tmp_path: Any) -> None: + store = WrapperStore(ZipStore(tmp_path / "store.zip", mode="w")) + with pytest.raises(TypeError, match="does not support synchronous delete"): + store.delete_sync("key") From 2a549d1c7251a4c10a9aa1e5cac68dd3c5942dba Mon Sep 17 00:00:00 2001 From: Davis Vann Bennett Date: Thu, 30 Jul 2026 17:55:38 +0200 Subject: [PATCH 5/5] docs: dev blog, performance examples, and compiled 3.3.0 release notes MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Adds a development blog to the documentation site with a 3.3.0 release post covering the FusedCodecPipeline and sharded partial-read coalescing, plus two runnable examples referenced by the post (examples/codec_pipeline_performance, examples/sharding_coalescing). Compiles every pending changelog fragment into a single 3.3.0 release notes section dated 2026-07-30, merging it with the section compiled earlier in #4148, and empties changes/ — making this commit suitable to tag as v3.3.0. Assisted-by: ClaudeCode:claude-fable-5 --- changes/3352.bugfix.md | 3 - changes/4128.feature.md | 1 - changes/4157.bugfix.md | 11 - changes/4172.misc.md | 7 - changes/4179.bugfix.md | 1 - changes/4183.bugfix.md | 3 - changes/4187.feature.md | 4 - changes/4194.bugfix.md | 10 - changes/4199.bugfix.md | 1 - changes/4201.bugfix.md | 1 - changes/4202.bugfix.md | 10 - changes/4203.bugfix.md | 1 - changes/4204.bugfix.md | 16 -- changes/4205.bugfix.md | 9 - changes/4206.bugfix.md | 1 - changes/4219.bugfix.md | 3 - docs/blog/.authors.yml | 6 + docs/blog/index.md | 3 + docs/blog/posts/3.3.0-release.md | 169 +++++++++++++ docs/release-notes.md | 134 +++++++++-- .../examples/codec_pipeline_performance.md | 7 + .../examples/sharding_coalescing.md | 7 + examples/codec_pipeline_performance/README.md | 59 +++++ .../codec_pipeline_performance.py | 214 +++++++++++++++++ examples/sharding_coalescing/README.md | 63 +++++ .../sharding_coalescing.py | 226 ++++++++++++++++++ mkdocs.yml | 12 + 27 files changed, 876 insertions(+), 106 deletions(-) delete mode 100644 changes/3352.bugfix.md delete mode 100644 changes/4128.feature.md delete mode 100644 changes/4157.bugfix.md delete mode 100644 changes/4172.misc.md delete mode 100644 changes/4179.bugfix.md delete mode 100644 changes/4183.bugfix.md delete mode 100644 changes/4187.feature.md delete mode 100644 changes/4194.bugfix.md delete mode 100644 changes/4199.bugfix.md delete mode 100644 changes/4201.bugfix.md delete mode 100644 changes/4202.bugfix.md delete mode 100644 changes/4203.bugfix.md delete mode 100644 changes/4204.bugfix.md delete mode 100644 changes/4205.bugfix.md delete mode 100644 changes/4206.bugfix.md delete mode 100644 changes/4219.bugfix.md create mode 100644 docs/blog/.authors.yml create mode 100644 docs/blog/index.md create mode 100644 docs/blog/posts/3.3.0-release.md create mode 100644 docs/user-guide/examples/codec_pipeline_performance.md create mode 100644 docs/user-guide/examples/sharding_coalescing.md create mode 100644 examples/codec_pipeline_performance/README.md create mode 100644 examples/codec_pipeline_performance/codec_pipeline_performance.py create mode 100644 examples/sharding_coalescing/README.md create mode 100644 examples/sharding_coalescing/sharding_coalescing.py diff --git a/changes/3352.bugfix.md b/changes/3352.bugfix.md deleted file mode 100644 index 7461486776..0000000000 --- a/changes/3352.bugfix.md +++ /dev/null @@ -1,3 +0,0 @@ -Fix `zarr.api.asynchronous.open_like` so it can create a new array by default when the -target path does not already exist. It now defaults to `mode="a"`; when using a read-only -store to open an existing array, pass `mode="r"` explicitly. diff --git a/changes/4128.feature.md b/changes/4128.feature.md deleted file mode 100644 index c62a615ac2..0000000000 --- a/changes/4128.feature.md +++ /dev/null @@ -1 +0,0 @@ -Added `Group.get_array`, `Group.get_group`, `AsyncGroup.get_array`, and `AsyncGroup.get_group`: type-safe accessors that return the child array or group at a given path, raising `ArrayNotFoundError` / `GroupNotFoundError` if no node exists there, and `ContainsGroupError` / `ContainsArrayError` if the node is not of the requested kind. Unlike `Group.__getitem__`, which returns `Array | Group`, these methods have precise return types. Nested paths like `"subgroup/subarray"` are supported. diff --git a/changes/4157.bugfix.md b/changes/4157.bugfix.md deleted file mode 100644 index 6b0d0fcc67..0000000000 --- a/changes/4157.bugfix.md +++ /dev/null @@ -1,11 +0,0 @@ -`MemoryStore` now copies buffers as they are written, so it never retains the -caller's memory. Previously an uncompressed write handed the store a zero-copy -view of the user's array, and mutating that array afterwards would silently -rewrite chunks already committed to the store. - -Only `MemoryStore` is affected: stores that serialize on write, such as -`LocalStore` and `ZipStore`, never aliased the caller's memory. Uncompressed -writes to a `MemoryStore` are correspondingly slower, since the copy that makes -the stored data independent is now actually performed; compressed writes are -unchanged. Buffers supplied through the `store_dict` argument remain the -caller's responsibility and are stored as-is. diff --git a/changes/4172.misc.md b/changes/4172.misc.md deleted file mode 100644 index 0be7226476..0000000000 --- a/changes/4172.misc.md +++ /dev/null @@ -1,7 +0,0 @@ -Improved `CoordinateIndexer` construction for large, sorted, in-bounds, one-dimensional integer -coordinate selections over regular chunk grids (e.g. `arr.get_coordinate_selection(sorted_idx)`, -`arr.vindex[sorted_idx]`, and the gather behind sparse/CSR row selections). When boundary searching -is estimated to be cheaper than processing every coordinate, per-chunk projections are now built -with `searchsorted`, making index construction ~15x faster for large gathers. Sparse sorted -selections spanning many chunks relative to their coordinate count, as well as unsorted, negative, -multi-dimensional, and irregular-grid selections, continue to use the existing implementation. diff --git a/changes/4179.bugfix.md b/changes/4179.bugfix.md deleted file mode 100644 index e02523114c..0000000000 --- a/changes/4179.bugfix.md +++ /dev/null @@ -1 +0,0 @@ -Fixed the opt-in `FusedCodecPipeline` for sharded arrays whose inner or index codec chain contains a codec implementing only the async codec interface (no `SupportsSyncCodec`). Such arrays previously raised `TypeError: All codecs must implement SupportsSyncCodec` on both read and write; the pipeline now declines its synchronous fast path for them and falls back to the async path, matching the behavior of the default `BatchedCodecPipeline`. Fully sync-capable codec chains keep the fast path unchanged. diff --git a/changes/4183.bugfix.md b/changes/4183.bugfix.md deleted file mode 100644 index 809708f596..0000000000 --- a/changes/4183.bugfix.md +++ /dev/null @@ -1,3 +0,0 @@ -Fixed `TypeError: unhashable type: 'writeable void-scalar'` when writing to sharded arrays whose fill value is a `np.void` scalar, e.g. arrays with a structured dtype. - -`ArraySpec` equality and hashing now compare the fill value by its byte representation rather than numeric equality. As a result, two specs with a `NaN` (or `NaT`) fill value now compare equal, while fill values of `-0.0` and `0.0` now compare unequal. This also restores the sharding codec's per-chunk spec cache, which had been disabled because of this bug. diff --git a/changes/4187.feature.md b/changes/4187.feature.md deleted file mode 100644 index 87133e2034..0000000000 --- a/changes/4187.feature.md +++ /dev/null @@ -1,4 +0,0 @@ -`ZipStore` now accepts an open binary file-like object in place of a path, enabling -zip archives on remote storage (e.g. a file opened with `fsspec` or an -`obstore.ReadableFile`). Operations that require a filesystem location -(`clear`, `move`) raise `NotImplementedError` for file-object-backed stores. diff --git a/changes/4194.bugfix.md b/changes/4194.bugfix.md deleted file mode 100644 index 21a4924664..0000000000 --- a/changes/4194.bugfix.md +++ /dev/null @@ -1,10 +0,0 @@ -`FusedCodecPipeline` no longer runs chunk IO and codec compute on the thread -driving zarr's internal event loop. Previously each read/write executed its -synchronous fast path inline on that loop thread, and because every sync-API -call from every user thread is serviced by the same loop, concurrent -operations serialized behind each other's codec work — reported as the fused -pipeline being slower than `BatchedCodecPipeline` for zstd-compressed data -under multi-threaded (e.g. dask) access. The synchronous batch now runs on a -worker thread (one hop per batch, not per chunk), keeping the loop free. -Multi-threaded single-chunk reads of zstd data are ~4.5x faster than before -and now scale with reader threads; single-threaded performance is unchanged. diff --git a/changes/4199.bugfix.md b/changes/4199.bugfix.md deleted file mode 100644 index d0c522cd7e..0000000000 --- a/changes/4199.bugfix.md +++ /dev/null @@ -1 +0,0 @@ -The end-to-end benchmarks no longer invoke `sudo` to drop the OS page cache during a regular `pytest` run. Cache clearing is now opt-in via the `ZARR_BENCHMARK_CLEAR_CACHE` environment variable, which the benchmark CI jobs set. diff --git a/changes/4201.bugfix.md b/changes/4201.bugfix.md deleted file mode 100644 index d837a8a9e2..0000000000 --- a/changes/4201.bugfix.md +++ /dev/null @@ -1 +0,0 @@ -Fixed the opt-in `FusedCodecPipeline` for serializers that advertise the partial-decode/encode mixins with only the documented async partial methods: the partial dispatch previously asserted on the private `_decode_partial_sync`/`_encode_partial_sync` hooks (an `AssertionError`, or an `AttributeError` mid-IO under `python -O`); such codecs now take the full-chunk sync path. diff --git a/changes/4202.bugfix.md b/changes/4202.bugfix.md deleted file mode 100644 index 6130fc5b33..0000000000 --- a/changes/4202.bugfix.md +++ /dev/null @@ -1,10 +0,0 @@ -Fixed `FusedCodecPipeline` (the opt-in synchronous pipeline) silently skipping -array-array/bytes-bytes codecs placed outside a sharding serializer on its -partial-decode/partial-encode fast paths. With an outer compressor (e.g. -`compressors=[GzipCodec()]` around a `ShardingCodec` serializer), the fused -pipeline wrote non-conforming stored bytes that `BatchedCodecPipeline` (and any -other conforming reader) could not read, and could fail to read data that -`BatchedCodecPipeline` had written. With an outer array-array codec (e.g. -`TransposeCodec`), it silently returned wrong data in both directions with no -error. Only the opt-in `FusedCodecPipeline` was affected; the default -`BatchedCodecPipeline` was never impacted. diff --git a/changes/4203.bugfix.md b/changes/4203.bugfix.md deleted file mode 100644 index 42ca977193..0000000000 --- a/changes/4203.bugfix.md +++ /dev/null @@ -1 +0,0 @@ -Fixed silent data corruption in the experimental `FusedCodecPipeline`: reordering or duplicating fancy-index reads (e.g. `arr[perm, :]`, `arr.oindex[[0, 0, 1], :]`) on uncompressed, crc-free sharded arrays could return the shard in natural order because the vectorized whole-shard decode accepted any selection whose output shape matched the shard shape. The bulk decode now fires only for identity full-shard reads, declines structured dtypes (whose byte-order handling it lacks), and requires shard-index offsets to exactly tile the data section, so corrupt indexes with overlapping or out-of-range offsets can no longer be served as array data. diff --git a/changes/4204.bugfix.md b/changes/4204.bugfix.md deleted file mode 100644 index 90101d1059..0000000000 --- a/changes/4204.bugfix.md +++ /dev/null @@ -1,16 +0,0 @@ -`ManagedMemoryStore.get_sync`/`set_sync`/`delete_sync` now apply the store's -`path` prefix, matching the async `get`/`set`/`delete` methods. Previously the -sync methods were inherited unchanged from `MemoryStore` and used the raw key, -so code that takes the sync fast path (e.g. `FusedCodecPipeline`) would read -and write chunks outside the store's `path` prefix, silently returning fill -values when the data was re-read through a fresh handle. `GpuMemoryStore.set_sync` -now converts its value to a `gpu.Buffer`, matching `set`, so writes through the -sync API keep the store's all-values-are-GPU invariant. Also fixed -`ManagedMemoryStore.get_partial_values` applying its `path` prefix twice -whenever `path` is non-empty, which made it always return `None` for every -requested key. - -The shared store test suite (`zarr.testing.store.StoreTests`) gained -sync/async parity checks — comparing sync and async observations of the same -key on the same store instance, including with a `byte_range` — so every -store subclass now exercises this invariant. diff --git a/changes/4205.bugfix.md b/changes/4205.bugfix.md deleted file mode 100644 index 0492febb7d..0000000000 --- a/changes/4205.bugfix.md +++ /dev/null @@ -1,9 +0,0 @@ -Fixed several small correctness issues from the codec-pipeline performance work: construction-time -codec warnings (e.g. sharding's "disables partial reads" warning) no longer fire twice per array -open — including for `FusedCodecPipeline`, which previously re-warned via its own codec-chain -reconstruction and, on the async fallback path, on every decode/encode call; `concurrent_iter` now -schedules its tasks eagerly, matching its documented contract; an invalid -`codec_pipeline.max_workers` config/environment value now warns and falls back to the default -instead of raising mid-read; and `FusedCodecPipeline`'s async fallback helpers now cancel -already-spawned fetch/decode/write tasks instead of abandoning them in the background when one -fails. diff --git a/changes/4206.bugfix.md b/changes/4206.bugfix.md deleted file mode 100644 index a01c969449..0000000000 --- a/changes/4206.bugfix.md +++ /dev/null @@ -1 +0,0 @@ -Fixed `FusedCodecPipeline`'s gating of its synchronous fast paths: stores exposing only part of the sync surface (e.g. `set_sync` without `get_sync`) now fall back cleanly to the async path instead of failing mid-write, and `WrapperStore` now forwards `get_sync`/`set_sync`/`delete_sync` to the wrapped store so wrapped sync-capable stores keep the fast path. The capability decision uses a private, interim convention (`zarr.abc.store._store_supports_sync_io`) rather than new public API, pending a formal sync/async store architecture. Also fixed `LatencyStore`: synchronous reads and writes now pay the configured latency, `get_ranges`/`get_partial_values` no longer bypass latency injection, and derived stores (e.g. from `with_read_only`) keep a stochastic `(loc, scale)` latency configuration instead of freezing a single sample. diff --git a/changes/4219.bugfix.md b/changes/4219.bugfix.md deleted file mode 100644 index 728e8a7e3a..0000000000 --- a/changes/4219.bugfix.md +++ /dev/null @@ -1,3 +0,0 @@ -`DefaultChunkKeyEncoding.decode_chunk_key` now validates that a chunk key -starts with the configured `c` prefix and raises `ValueError` for -malformed keys, instead of silently decoding them incorrectly. diff --git a/docs/blog/.authors.yml b/docs/blog/.authors.yml new file mode 100644 index 0000000000..10ce423cfc --- /dev/null +++ b/docs/blog/.authors.yml @@ -0,0 +1,6 @@ +authors: + d-v-b: + name: Davis Bennett + description: Core developer + avatar: https://github.com/d-v-b.png + url: https://github.com/d-v-b diff --git a/docs/blog/index.md b/docs/blog/index.md new file mode 100644 index 0000000000..fca29e2578 --- /dev/null +++ b/docs/blog/index.md @@ -0,0 +1,3 @@ +# Blog + +News, release highlights, and design notes from the Zarr-Python developers. diff --git a/docs/blog/posts/3.3.0-release.md b/docs/blog/posts/3.3.0-release.md new file mode 100644 index 0000000000..13368848ae --- /dev/null +++ b/docs/blog/posts/3.3.0-release.md @@ -0,0 +1,169 @@ +--- +date: 2026-07-30 +authors: + - d-v-b +categories: + - Release +--- + +# Zarr-Python 3.3.0 + +We're happy to announce the release of version 3.3.0 of Zarr-Python. It's been a while since our last release ([3.2.1](https://github.com/zarr-developers/zarr-python/releases/tag/v3.2.1) dropped in May of this year), +and we're bringing some exciting additions to the latest version. For the full release notes, see the [3.3.0 release notes](../../release-notes.md), otherwise stick around for an overview of two performance-centric highlights of this release. + + + +## Faster low-latency storage + +Relevant issues and pull requests: + +- [#3524](https://github.com/zarr-developers/zarr-python/issues/3524) -- the performance report that started this work +- [#3885](https://github.com/zarr-developers/zarr-python/pull/3885) -- synchronous codec APIs and the `FusedCodecPipeline` + +### The cost of async overhead + +Zarr-Python 3.x uses async routines for fetching data and decoding chunks. In terms of code, this means our store (data fetching) and codec (chunk decoding) APIs are both async. This makes +I/O against high-latency storage backends like cloud object storage efficient. But for *low-latency* storage, like in-process memory or the file system, async routines add measurable overhead and offer no benefit. Async only adds value when there's work to be done while waiting for I/O to complete, but when I/O latency is low, it completes too quickly to run anything while waiting, and we are left paying the performance bill for obligatory async task scheduling that offered no value. + +This performance problem became acute when Zarr-Python users reported that in-memory array indexing workloads ran *slower* in Zarr-Python 3.1.3 relative to Zarr-Python 2.18.7 ([#3524](https://github.com/zarr-developers/zarr-python/issues/3524)). Fortunately this performance regression had a straightforward fix (I don't say "easy" because it was a lot of work). + +### Synchronous execution restores performance + +If async overhead makes low-latency storage slow, does *removing* that overhead restore performance? Yes, it does! + +In [#3885](https://github.com/zarr-developers/zarr-python/pull/3885) we defined synchronous versions of our storage and codec APIs -- the `SyncByteGetter` and `SyncByteSetter` protocols, plus a `get_ranges_sync` method on the `Store` ABC -- and then combined them in a new codec orchestration class called `FusedCodecPipeline`. The `FusedCodecPipeline` is an opt-in alternative to the default (the `BatchedCodecPipeline`) that gives large speedups for low-latency storage. It is currently marked [experimental](../../user-guide/experimental.md), so we may change it as we learn more; the default pipeline is untouched, and existing code keeps working unless you opt in. + +The win here is *not* a faster compressor. It is the removal of async scheduling overhead (including some [nasty `asyncio.to_thread` overhead](https://github.com/python/cpython/issues/136084)), plus a few vectorized fast paths for dense, uncompressed shards. And we only expect this new pipeline to accelerate workloads targeting a subset of storage backends, namely any store with methods that advertise low latency. + +On this author's 10-core Apple M4 laptop, the `FusedCodecPipeline` delivers the following results against memory-backed arrays: + +- uncompressed writes are *~4 times faster* +- uncompressed reads are *~5 times faster* +- compressed writes are *~2 times faster* +- compressed reads are *~2 times faster* + +These numbers came from a [runnable example](../../user-guide/examples/codec_pipeline_performance.md) that ships with the documentation. Run it yourself to get a sense of how the `FusedCodecPipeline` behaves on your system -- when and how you use it depends on your hardware, your array layout, and how your chunks are compressed. What's certain is that for in-memory arrays, and arrays saved to the local file system, the `FusedCodecPipeline` is worth a try. + +Getting good numbers requires choosing the right level of thread-based parallelism for your workload, which is part of the configuration of the `FusedCodecPipeline`. For uncompressed chunks there's no CPU-bound work to do after fetching a chunk and so +thread-based parallelism is worse than useless and slows things down. But for compressed chunks, threading offers a substantial payoff. + +### How to use it + +Select the pipeline through the [runtime configuration](../../user-guide/config.md) by setting `codec_pipeline.path`. Set it globally to affect every array created or opened afterwards: + +```python exec="true" session="blog-330" source="above" +import zarr + +zarr.config.set( + {"codec_pipeline.path": "zarr.core.codec_pipeline.FusedCodecPipeline"} +) +``` + +Or scope it to a block of code by using `zarr.config.set` as a context manager, which is the safer choice if you only want the new pipeline for part of your program: + +```python exec="true" session="blog-330" source="above" result="ansi" +import numpy as np +import zarr +from zarr.storage import MemoryStore + +with zarr.config.set( + {"codec_pipeline.path": "zarr.core.codec_pipeline.FusedCodecPipeline"} +): + arr = zarr.create_array( + store=MemoryStore(), + shape=(1000, 1000), + chunks=(100, 100), + shards=(1000, 1000), + dtype="float32", + ) + arr[:] = np.random.random((1000, 1000)).astype("float32") + result = arr[:] + +print(result.shape) +``` + +Thread-based parallelism is configured separately, via `codec_pipeline.max_workers`. It defaults to `None`, meaning a pool sized to `os.cpu_count()`. Note that this setting is read *only* by the `FusedCodecPipeline` -- the default `BatchedCodecPipeline` ignores it, so tuning it without opting in above does nothing. + +As noted, memory-backed and uncompressed workloads often do better with a single worker, which runs everything inline on the calling thread: + +```python exec="true" session="blog-330" source="above" +import zarr + +# No thread pool: run codec compute inline. Often best for uncompressed, +# memory-backed arrays, where there's no CPU-bound work to overlap. +zarr.config.set({"codec_pipeline.max_workers": 1}) + +# A fixed-size thread pool, which pays off once compression is in play. +zarr.config.set({"codec_pipeline.max_workers": 8}) + +# Or back to the default, sized to the number of CPUs. +zarr.config.set({"codec_pipeline.max_workers": None}) +``` + +To return to the default pipeline, set `codec_pipeline.path` back to the batched implementation: + +```python exec="true" session="blog-330" source="above" +import zarr + +zarr.config.set( + {"codec_pipeline.path": "zarr.core.codec_pipeline.BatchedCodecPipeline"} +) +``` + +## Faster sharded reads + +Relevant issues and pull requests: + +- [#3004](https://github.com/zarr-developers/zarr-python/pull/3004) -- optimize partial shard reads +- [#3925](https://github.com/zarr-developers/zarr-python/pull/3925) -- `Store.get_ranges` for concurrent, coalesced multi-range reads +- [#3987](https://github.com/zarr-developers/zarr-python/pull/3987) -- control coalescing through `ArrayConfig` and the runtime config + +### How sharding works + +Chunks encoded with the `sharding_indexed` codec contain a secondary level of chunking, called subchunks. For example, if the `chunk_grid` field of the array metadata declares an "outer chunk" size of, say `(10, 10)`, a `sharding_indexed` codec in the `codecs` field could declare an "inner chunk" size of `(5, 5)`. Readers accessing such a chunk will observe a stored object (a stream of bytes) that decodes to an array with size `(10, 10)` (the "outer chunk"), which is comprised of four separate, contiguous byte ranges that each decode to a `(5, 5)` inner chunk. Each inner chunk occupies its own byte range in the outer chunk. + +A reader can satisfy a request for all four inner chunks by issuing four separate byte-range requests, or by making a *single* request for a byte range that spans all four inner chunks. The latter option is nice because it cuts down on the number of requests we need. Historically Zarr-Python used this optimization when reading entire outer chunks; in 3.3.0, we use this optimization in more cases, resulting in more efficient I/O patterns for sharded reads. + +### Interval equivalence + +Byte ranges, being intervals, obey some combination rules: the values in two half-open intervals `[a, b), [b, c)` can be captured by the single interval `[a, c)`. That means a reader can get multiple inner chunks with *one* byte-range request by requesting a range of bytes starting with the first byte of the first subchunk and ending with the last byte of the last subchunk. When individual requests are expensive, this kind of optimization is worth a lot. + +The requested inner chunks are not necessarily contiguous -- there might be a byte range gap between them. As long as that gap is not too big, its often efficient to fetch the entire byte range, gap included, and pick out the inner chunk byte ranges after I/O is done. + +### Byte range coalescing + +We call this procedure -- merging adjacent byte ranges -- "byte range coalescing", and it's a new performance optimization shipping in Zarr-Python 3.3.0. Unlike the `FusedCodecPipeline`, this one is on by default with base settings we think are good, so most users won't need to tune anything. + +Two knobs control it, both documented in the [runtime configuration guide](../../user-guide/config.md). Nearby byte ranges in the same shard are merged into a single request when the gap between them is no larger than `array.sharding_coalesce_max_gap_bytes` (default 1 MiB) and the merged read stays within `array.sharding_coalesce_max_bytes` (default 16 MiB). The gap threshold is what trades wasted bytes against saved requests: raising it reads more data you didn't ask for, in exchange for fewer requests. + +For a runnable demonstration -- counting the store requests saved and timing them against a store with simulated latency -- see the [sharded read coalescing example](../../user-guide/examples/sharding_coalescing.md). + +You can set them globally, or per array by passing `config={...}` to [`zarr.create_array`][]: + +```python exec="true" session="blog-330" source="above" result="ansi" +import zarr +from zarr.storage import MemoryStore + +arr = zarr.create_array( + store=MemoryStore(), + shape=(1000, 1000), + chunks=(100, 100), + shards=(1000, 1000), + dtype="float32", + config={ + "sharding_coalesce_max_gap_bytes": 4 * 1024**2, # 4 MiB + "sharding_coalesce_max_bytes": 64 * 1024**2, # 64 MiB + }, +) +print(arr.shape) +``` + +## Tell us what you think + +We hope these new features are helpful, and we would appreciate any feedback that helps us improve them, or any other aspect of Zarr-Python. + +## Going faster + +The updates in this release are just the first step of a larger performance-oriented direction for Zarr-Python. Landing these two enhancements taught us a *lot* about the performance-sensitive areas of the library. We can and will invest more time in performance tuning, e.g. by adding or changing abstractions, writing code for special cases, etc. + +We plan to consider including compiled code that should enable significant performance improvements. The [`zarrs`](https://zarrs.dev/) project is an ecosystem of Zarr tools written in Rust, with [extremely high performance](https://book.zarrs.dev/#-zarrs-is-fast-). Is there a `zarrs` binding in Zarr-Python's future? I hope so! We are keenly observing development of [`zarrista`](https://developmentseed.org/zarrista/latest/) as a proof-of-concept for what a Python-`zarrs` binding layer might look like. Stay tuned! diff --git a/docs/release-notes.md b/docs/release-notes.md index 7b147a30bd..3b54ea993a 100644 --- a/docs/release-notes.md +++ b/docs/release-notes.md @@ -4,7 +4,7 @@ -## 3.3.0 (2026-07-15) +## 3.3.0 (2026-07-30) ### Features @@ -14,13 +14,19 @@ concurrently. ([#3004](https://github.com/zarr-developers/zarr-python/pull/3004)) - Added a `subchunk_write_order` option to `ShardingCodec` to control the physical order of subchunks within a shard. Supported values are `morton`, `unordered`, `lexicographic`, and `colexicographic`. `unordered` makes no guarantee about subchunk layout. This setting affects only on-disk layout, not the data read back, and is not persisted in array metadata: it applies per codec instance and is not recovered when reopening a sharded array. ([#3826](https://github.com/zarr-developers/zarr-python/pull/3826)) - Added `SyncByteGetter` and `SyncByteSetter` runtime-checkable protocols and a `get_ranges_sync` method on the `Store` ABC. These let custom byte getters/setters opt into the synchronous codec pipeline's fast path for in-memory IO, which the sharding codec uses for its inner chunks. ([#3885](https://github.com/zarr-developers/zarr-python/pull/3885)) -- Added `FusedCodecPipeline`, an opt-in codec pipeline that runs codec compute synchronously and in bulk (avoiding the per-chunk async scheduling overhead of the default `BatchedCodecPipeline`), giving large speedups for sharded arrays (up to ~24x writes / ~14x reads on many-chunks-per-shard layouts, more with compression) and no regressions on compute-bound workloads. The default `BatchedCodecPipeline` is unchanged for standard configurations, so existing code keeps working unless you opt in; enable the new pipeline with `zarr.config.set({"codec_pipeline.path": "zarr.core.codec_pipeline.FusedCodecPipeline"})`. ([#3885](https://github.com/zarr-developers/zarr-python/pull/3885)) +- Added `FusedCodecPipeline`, an opt-in codec pipeline that runs codec compute synchronously and in bulk (avoiding the per-chunk async scheduling overhead of the default `BatchedCodecPipeline`), giving large speedups for sharded arrays. The default `BatchedCodecPipeline` is unchanged for standard configurations, so existing code keeps working unless you opt in; enable the new pipeline with `zarr.config.set({"codec_pipeline.path": "zarr.core.codec_pipeline.FusedCodecPipeline"})`. ([#3885](https://github.com/zarr-developers/zarr-python/pull/3885)) - Add `zarr.abc.store.Store.get_ranges` for concurrent, coalesced multi-range reads from a single key. The method is defined on the `Store` ABC with a default implementation built on `Store.get`, so every store inherits a working version; stores with native multi-range backends (e.g. `FsspecStore`) can override for efficiency. Coalescing knobs (`max_concurrency`, `max_gap_bytes`, `max_coalesced_bytes`) are passed as keyword arguments to `get_ranges`. Failures from underlying fetches surface as a `BaseExceptionGroup` (PEP 654); callers should use `except*` to filter for specific exception types such as `FileNotFoundError`. ([#3925](https://github.com/zarr-developers/zarr-python/pull/3925)) - Two new fields on `ArrayConfig` control how the sharding codec coalesces partial-shard reads: `sharding_coalesce_max_gap_bytes` (default 1 MiB) and `sharding_coalesce_max_bytes` (default 16 MiB). When reading multiple chunks from the same shard, nearby byte ranges are merged into a single request to the store if separated by no more than `sharding_coalesce_max_gap_bytes` and the merged read stays within `sharding_coalesce_max_bytes`. Defaults are seeded from the matching `array.sharding_coalesce_max_gap_bytes` / `array.sharding_coalesce_max_bytes` keys in [`zarr.config`][] at array-creation time, and can be overridden per array by passing `config={...}` to [`zarr.create_array`][]. ([#3987](https://github.com/zarr-developers/zarr-python/pull/3987)) +- Added `Group.get_array`, `Group.get_group`, `AsyncGroup.get_array`, and `AsyncGroup.get_group`: type-safe accessors that return the child array or group at a given path, raising `ArrayNotFoundError` / `GroupNotFoundError` if no node exists there, and `ContainsGroupError` / `ContainsArrayError` if the node is not of the requested kind. Unlike `Group.__getitem__`, which returns `Array | Group`, these methods have precise return types. Nested paths like `"subgroup/subarray"` are supported. ([#4128](https://github.com/zarr-developers/zarr-python/pull/4128)) +- `ZipStore` now accepts an open binary file-like object in place of a path, enabling + zip archives on remote storage (e.g. a file opened with `fsspec` or an + `obstore.ReadableFile`). Operations that require a filesystem location + (`clear`, `move`) raise `NotImplementedError` for file-object-backed stores. ([#4187](https://github.com/zarr-developers/zarr-python/pull/4187)) + ### Bugfixes -- Stop emitting an `UnstableSpecificationWarning` when serializing the `struct` data type to Zarr V3 metadata. The `struct` data type now has a stable Zarr V3 specification. The legacy `structured` alias and the unspecified `null_terminated_bytes`, `raw_bytes`, and `variable_length_bytes` data types continue to warn. ([#202](https://github.com/zarr-developers/zarr-python/issues/202)) +- Stop emitting an `UnstableSpecificationWarning` when serializing the `struct` data type to Zarr V3 metadata. The `struct` data type now has a stable Zarr V3 specification. The legacy `structured` alias and the unspecified `null_terminated_bytes`, `raw_bytes`, and `variable_length_bytes` data types continue to warn. ([#4100](https://github.com/zarr-developers/zarr-python/pull/4100)) - Fix equality comparison of `ArrayV2Metadata` and `ArrayV3Metadata` objects with a `NaN` fill value. Such objects are now compared by their JSON-serialized form, so two otherwise-identical metadata objects with a `NaN` (or infinite) fill value compare equal. ([#2929](https://github.com/zarr-developers/zarr-python/issues/2929)) @@ -46,25 +52,11 @@ - Fixed writing to 0-dimensional arrays that use the sharding codec. Previously assigning to a 0-dimensional sharded array raised an error. ([#3966](https://github.com/zarr-developers/zarr-python/pull/3966)) - Fix flaky stateful test bookkeeping when `delete_dir` matches string prefixes instead of true directory descendants. Previously a path such as `6/faNT…` could be incorrectly removed when deleting `6/f`. (See [issue #3977](https://github.com/zarr-developers/zarr-python/issues/3977).) ([#3977](https://github.com/zarr-developers/zarr-python/issues/3977)) -- `FsspecStore.from_url()` and `from_mapper()` now close the async filesystem - they create when `store.close()` is called. Previously the underlying aiohttp - `ClientSession` was left open until garbage collection, producing - `"Unclosed client session"` `ResourceWarning`s from aiohttp. - - The fix introduces `FsspecStore._owns_fs`, a boolean that is ``True`` only when - `FsspecStore` itself created the filesystem (via `from_url` or `from_mapper` - when a sync→async conversion was performed). When `_owns_fs` is ``True``, - `store.close()` calls the new `_close_fs()` helper, which invokes - `fs.set_session()` and closes the returned client. Callers who supply their own - filesystem instance to `FsspecStore()` directly remain responsible for its - lifecycle; `_owns_fs` is ``False`` for those stores. - - **Scope note**: This fix closes the S3 client session that is active at the time - `store.close()` is called. Some S3-backed filesystem implementations (e.g. - s3fs with ``cache_regions=True``) may internally refresh and replace their - client during I/O operations, abandoning prior sessions before ``store.close()`` - is invoked. Those intermediate sessions are outside the scope of this fix and - are an issue in the upstream filesystem library. ([#4003](https://github.com/zarr-developers/zarr-python/pull/4003)) +- `FsspecStore.close()` no longer closes the underlying fsspec filesystem or its + network session. fsspec caches and shares filesystem instances across callers, + so the store cannot know whether it is the only user, and closing a shared + session would break other stores; the filesystem's lifecycle belongs to + whoever created it. ([#4165](https://github.com/zarr-developers/zarr-python/pull/4165)) - Fixed an invalid `zarr.create_array` example in the quick-start documentation (it passed an unsupported `mode` argument) and made the cloud-storage example execute against a mock S3 backend in CI. Added a test ensuring every Python code block in the documentation is either executed or explicitly opted out with a documented reason, so an invalid example can no longer go untested. ([#4016](https://github.com/zarr-developers/zarr-python/issues/4016)) - Fixed `ObjectStore.list_dir` for object-store listings that include a directory-marker object matching the requested non-root prefix. ([#4032](https://github.com/zarr-developers/zarr-python/issues/4032)) @@ -82,6 +74,82 @@ - Fixed writing Fortran-ordered (F-contiguous) arrays through the variable-length string and bytes codecs and through numcodecs array-array filters such as `Delta`, `FixedScaleOffset` and `PackBits`. Chunks are now passed to numcodecs as C-contiguous arrays, so elements are no longer stored in transposed order. ([#4116](https://github.com/zarr-developers/zarr-python/pull/4116)) - Fix silent byte-order corruption for structured dtypes with the `bytes` codec: multi-byte fields are now byte-swapped to the codec's configured `endian` on write and decoded honoring it on read, so non-native-endian structured data (e.g. big-endian fields, as produced by virtual references to external data) round-trips correctly. ([#4141](https://github.com/zarr-developers/zarr-python/issues/4141)) +- Fix `zarr.api.asynchronous.open_like` so it can create a new array by default when the + target path does not already exist. It now defaults to `mode="a"`; when using a read-only + store to open an existing array, pass `mode="r"` explicitly. ([#3352](https://github.com/zarr-developers/zarr-python/pull/3352)) +- `MemoryStore` now copies buffers as they are written, so it never retains the + caller's memory. Previously an uncompressed write handed the store a zero-copy + view of the user's array, and mutating that array afterwards would silently + rewrite chunks already committed to the store. + + Only `MemoryStore` is affected: stores that serialize on write, such as + `LocalStore` and `ZipStore`, never aliased the caller's memory. Uncompressed + writes to a `MemoryStore` are correspondingly slower, since the copy that makes + the stored data independent is now actually performed; compressed writes are + unchanged. Buffers supplied through the `store_dict` argument remain the + caller's responsibility and are stored as-is. ([#4157](https://github.com/zarr-developers/zarr-python/pull/4157)) + +- Fixed the opt-in `FusedCodecPipeline` for sharded arrays whose inner or index codec chain contains a codec implementing only the async codec interface (no `SupportsSyncCodec`). Such arrays previously raised `TypeError: All codecs must implement SupportsSyncCodec` on both read and write; the pipeline now declines its synchronous fast path for them and falls back to the async path, matching the behavior of the default `BatchedCodecPipeline`. Fully sync-capable codec chains keep the fast path unchanged. ([#4179](https://github.com/zarr-developers/zarr-python/pull/4179)) +- Fixed `TypeError: unhashable type: 'writeable void-scalar'` when writing to sharded arrays whose fill value is a `np.void` scalar, e.g. arrays with a structured dtype. + + `ArraySpec` equality and hashing now compare the fill value by its byte representation rather than numeric equality. As a result, two specs with a `NaN` (or `NaT`) fill value now compare equal, while fill values of `-0.0` and `0.0` now compare unequal. This also restores the sharding codec's per-chunk spec cache, which had been disabled because of this bug. ([#4183](https://github.com/zarr-developers/zarr-python/pull/4183)) + +- `FusedCodecPipeline` no longer runs chunk IO and codec compute on the thread + driving zarr's internal event loop. Previously each read/write executed its + synchronous fast path inline on that loop thread, and because every sync-API + call from every user thread is serviced by the same loop, concurrent + operations serialized behind each other's codec work — reported as the fused + pipeline being slower than `BatchedCodecPipeline` for zstd-compressed data + under multi-threaded (e.g. dask) access. The synchronous batch now runs on a + worker thread (one hop per batch, not per chunk), keeping the loop free. + Multi-threaded single-chunk reads of compressed data now scale with reader + threads; single-threaded performance is unchanged. ([#4194](https://github.com/zarr-developers/zarr-python/pull/4194)) +- The end-to-end benchmarks no longer invoke `sudo` to drop the OS page cache during a regular `pytest` run. Cache clearing is now opt-in via the `ZARR_BENCHMARK_CLEAR_CACHE` environment variable, which the benchmark CI jobs set. ([#4199](https://github.com/zarr-developers/zarr-python/pull/4199)) +- Fixed the opt-in `FusedCodecPipeline` for serializers that advertise the partial-decode/encode mixins with only the documented async partial methods: the partial dispatch previously asserted on the private `_decode_partial_sync`/`_encode_partial_sync` hooks (an `AssertionError`, or an `AttributeError` mid-IO under `python -O`); such codecs now take the full-chunk sync path. ([#4201](https://github.com/zarr-developers/zarr-python/pull/4201)) +- Fixed `FusedCodecPipeline` (the opt-in synchronous pipeline) silently skipping + array-array/bytes-bytes codecs placed outside a sharding serializer on its + partial-decode/partial-encode fast paths. With an outer compressor (e.g. + `compressors=[GzipCodec()]` around a `ShardingCodec` serializer), the fused + pipeline wrote non-conforming stored bytes that `BatchedCodecPipeline` (and any + other conforming reader) could not read, and could fail to read data that + `BatchedCodecPipeline` had written. With an outer array-array codec (e.g. + `TransposeCodec`), it silently returned wrong data in both directions with no + error. Only the opt-in `FusedCodecPipeline` was affected; the default + `BatchedCodecPipeline` was never impacted. ([#4202](https://github.com/zarr-developers/zarr-python/pull/4202)) +- Fixed silent data corruption in the experimental `FusedCodecPipeline`: reordering or duplicating fancy-index reads (e.g. `arr[perm, :]`, `arr.oindex[[0, 0, 1], :]`) on uncompressed, crc-free sharded arrays could return the shard in natural order because the vectorized whole-shard decode accepted any selection whose output shape matched the shard shape. The bulk decode now fires only for identity full-shard reads, declines structured dtypes (whose byte-order handling it lacks), and requires shard-index offsets to exactly tile the data section, so corrupt indexes with overlapping or out-of-range offsets can no longer be served as array data. ([#4203](https://github.com/zarr-developers/zarr-python/pull/4203)) +- `ManagedMemoryStore.get_sync`/`set_sync`/`delete_sync` now apply the store's + `path` prefix, matching the async `get`/`set`/`delete` methods. Previously the + sync methods were inherited unchanged from `MemoryStore` and used the raw key, + so code that takes the sync fast path (e.g. `FusedCodecPipeline`) would read + and write chunks outside the store's `path` prefix, silently returning fill + values when the data was re-read through a fresh handle. `GpuMemoryStore.set_sync` + now converts its value to a `gpu.Buffer`, matching `set`, so writes through the + sync API keep the store's all-values-are-GPU invariant. Also fixed + `ManagedMemoryStore.get_partial_values` applying its `path` prefix twice + whenever `path` is non-empty, which made it always return `None` for every + requested key. + + The shared store test suite (`zarr.testing.store.StoreTests`) gained + sync/async parity checks — comparing sync and async observations of the same + key on the same store instance, including with a `byte_range` — so every + store subclass now exercises this invariant. The suite's former + `test_get_bytes`/`test_get_json` methods (and their `_sync` variants) were + folded into these parity tests and no longer exist as separate methods. ([#4204](https://github.com/zarr-developers/zarr-python/pull/4204)) + +- Fixed several small correctness issues from the codec-pipeline performance work: construction-time + codec warnings (e.g. sharding's "disables partial reads" warning) no longer fire twice per array + open — including for `FusedCodecPipeline`, which previously re-warned via its own codec-chain + reconstruction and, on the async fallback path, on every decode/encode call; `concurrent_iter` now + schedules its tasks eagerly, matching its documented contract; an invalid + `codec_pipeline.max_workers` config/environment value now warns and falls back to the default + instead of raising mid-read; and `FusedCodecPipeline`'s async fallback helpers now cancel + already-spawned fetch/decode/write tasks instead of abandoning them in the background when one + fails. ([#4205](https://github.com/zarr-developers/zarr-python/pull/4205)) +- Fixed `FusedCodecPipeline`'s gating of its synchronous fast paths: stores exposing only part of the sync surface (e.g. `set_sync` without `get_sync`) now fall back cleanly to the async path instead of failing mid-write, and `WrapperStore` now forwards `get_sync`/`set_sync`/`delete_sync` to the wrapped store so wrapped sync-capable stores keep the fast path. The capability decision uses a private, interim convention (`zarr.abc.store._store_supports_sync_io`) rather than new public API, pending a formal sync/async store architecture. Also fixed `LatencyStore`: synchronous reads and writes now pay the configured latency, `get_ranges`/`get_partial_values` no longer bypass latency injection, and derived stores (e.g. from `with_read_only`) keep a stochastic `(loc, scale)` latency configuration instead of freezing a single sample. ([#4206](https://github.com/zarr-developers/zarr-python/pull/4206)) +- `DefaultChunkKeyEncoding.decode_chunk_key` now validates that a chunk key + starts with the configured `c` prefix and raises `ValueError` for + malformed keys, instead of silently decoding them incorrectly. ([#4219](https://github.com/zarr-developers/zarr-python/pull/4219)) + ### Improved Documentation - Document the changes to `zarr.errors` in the 3.0 migration guide, including the removal of v2 exception classes and the introduction of `NodeNotFoundError`. ([#3009](https://github.com/zarr-developers/zarr-python/issues/3009)) @@ -120,13 +188,30 @@ enumeration, bulk attribute updates, and the `use_consolidated` keyword. ([#4132](https://github.com/zarr-developers/zarr-python/pull/4132)) - Fixed the documented default of ``max_age_seconds`` in the ``CacheStore`` docstring: the default is ``"infinity"`` (no expiration), not ``None``, which is rejected. Also noted that ``cache_store`` must support deletes. ([#4133](https://github.com/zarr-developers/zarr-python/pull/4133)) +- Added a blog section to the documentation, with a post covering two performance + highlights of the 3.3.0 release: the opt-in `FusedCodecPipeline` and byte-range + coalescing for partial reads of sharded arrays. + + Added two runnable examples that accompany the post: + `examples/codec_pipeline_performance` compares the `BatchedCodecPipeline` and + `FusedCodecPipeline` on a sharded array across two stores and two codec + regimes, showing when the fused pipeline's thread pool helps and when it does + not, and `examples/sharding_coalescing` demonstrates how read coalescing + reduces the number of store requests when reading subregions of a sharded + array. + + Also removed the hardware-specific speedup figures from the `FusedCodecPipeline` + release note, since they depend on the array layout, codec, and machine. ([#4191](https://github.com/zarr-developers/zarr-python/pull/4191)) + ### Deprecations and Removals - The ``BloscShuffle`` and ``BloscCname`` enums (``zarr.codecs.BloscShuffle``, ``zarr.codecs.BloscCname``) are now deprecated. Pass the equivalent literal string (e.g. ``"zstd"``, ``"bitshuffle"``) when constructing a ``BloscCodec``. The enum classes remain importable but emit ``DeprecationWarning`` on member - access, and will be removed in a future release. ``BloscCodec.cname`` and + access, and will be removed in a future release. They are no longer ``Enum`` + subclasses: constructor calls (e.g. ``BloscCname("zstd")``), iteration, and + ``.value`` access no longer work. ``BloscCodec.cname`` and ``BloscCodec.shuffle`` are now plain strings rather than enum members. Additional renames in ``zarr.codecs.blosc`` from the same change: the type @@ -162,8 +247,9 @@ ### Misc -- [#214](https://github.com/zarr-developers/zarr-python/issues/214), [#215](https://github.com/zarr-developers/zarr-python/pull/215), [#3908](https://github.com/zarr-developers/zarr-python/pull/3908), [#3972](https://github.com/zarr-developers/zarr-python/pull/3972), [#3975](https://github.com/zarr-developers/zarr-python/pull/3975), [#3979](https://github.com/zarr-developers/zarr-python/pull/3979), [#3990](https://github.com/zarr-developers/zarr-python/pull/3990), [#3998](https://github.com/zarr-developers/zarr-python/pull/3998), [#4000](https://github.com/zarr-developers/zarr-python/pull/4000), [#4001](https://github.com/zarr-developers/zarr-python/pull/4001), [#4046](https://github.com/zarr-developers/zarr-python/pull/4046), [#4054](https://github.com/zarr-developers/zarr-python/pull/4054), [#4073](https://github.com/zarr-developers/zarr-python/issues/4073), [#4086](https://github.com/zarr-developers/zarr-python/issues/4086), [#4138](https://github.com/zarr-developers/zarr-python/pull/4138) +- [#4139](https://github.com/zarr-developers/zarr-python/pull/4139), [#4140](https://github.com/zarr-developers/zarr-python/pull/4140), [#3908](https://github.com/zarr-developers/zarr-python/pull/3908), [#3972](https://github.com/zarr-developers/zarr-python/pull/3972), [#3975](https://github.com/zarr-developers/zarr-python/pull/3975), [#3979](https://github.com/zarr-developers/zarr-python/pull/3979), [#3990](https://github.com/zarr-developers/zarr-python/pull/3990), [#3998](https://github.com/zarr-developers/zarr-python/pull/3998), [#4000](https://github.com/zarr-developers/zarr-python/pull/4000), [#4001](https://github.com/zarr-developers/zarr-python/pull/4001), [#4012](https://github.com/zarr-developers/zarr-python/pull/4012), [#4046](https://github.com/zarr-developers/zarr-python/pull/4046), [#4054](https://github.com/zarr-developers/zarr-python/pull/4054), [#4073](https://github.com/zarr-developers/zarr-python/issues/4073), [#4086](https://github.com/zarr-developers/zarr-python/issues/4086), [#4138](https://github.com/zarr-developers/zarr-python/pull/4138) +- [#4172](https://github.com/zarr-developers/zarr-python/pull/4172) ## 3.2.1 (2026-05-05) diff --git a/docs/user-guide/examples/codec_pipeline_performance.md b/docs/user-guide/examples/codec_pipeline_performance.md new file mode 100644 index 0000000000..f21e31636e --- /dev/null +++ b/docs/user-guide/examples/codec_pipeline_performance.md @@ -0,0 +1,7 @@ +--8<-- "examples/codec_pipeline_performance/README.md" + +## Source Code + +```python exec="false" reason="pymdownx snippet include directive, not python source" +--8<-- "examples/codec_pipeline_performance/codec_pipeline_performance.py" +``` diff --git a/docs/user-guide/examples/sharding_coalescing.md b/docs/user-guide/examples/sharding_coalescing.md new file mode 100644 index 0000000000..8b2e054af5 --- /dev/null +++ b/docs/user-guide/examples/sharding_coalescing.md @@ -0,0 +1,7 @@ +--8<-- "examples/sharding_coalescing/README.md" + +## Source Code + +```python exec="false" reason="pymdownx snippet include directive, not python source" +--8<-- "examples/sharding_coalescing/sharding_coalescing.py" +``` diff --git a/examples/codec_pipeline_performance/README.md b/examples/codec_pipeline_performance/README.md new file mode 100644 index 0000000000..5d85412c29 --- /dev/null +++ b/examples/codec_pipeline_performance/README.md @@ -0,0 +1,59 @@ +# Codec Pipeline Performance + +This example compares the default `BatchedCodecPipeline` against the opt-in +`FusedCodecPipeline` on a sharded array, across two stores (memory and local) +and two codec regimes (uncompressed and gzip), at one worker and at `cpu_count`. + +A *codec pipeline* turns chunks of array data into stored bytes and back, running +the configured codecs and performing the storage IO. The default +`BatchedCodecPipeline` schedules both asynchronously -- roughly one coroutine per +chunk operation. That model pays off for high-latency stores, where there is +useful work to do while waiting on IO. For low-latency stores (in-process memory, +the local filesystem) the IO completes too quickly for the overlap to be worth +its cost, and the async scheduling becomes pure overhead. + +`FusedCodecPipeline` runs codec compute and synchronous IO synchronously, +removing that overhead. It is +[experimental](https://zarr.readthedocs.io/en/stable/user-guide/experimental/) +and opt-in; the default pipeline is unchanged. + +## What it shows + +- How to select a pipeline with `zarr.config.set`, and why the array must be + *created* inside the config block: the pipeline class is resolved at array + construction time and then travels with the array. +- That the benefit depends strongly on layout and on whether compression is in + play. Some configurations are slower under the fused pipeline -- the script + reports speedups below 1.00x rather than hiding them. +- That `codec_pipeline.max_workers` is read only by `FusedCodecPipeline`; the + default pipeline ignores it entirely. + +## Running + +```bash +uv run codec_pipeline_performance.py +``` + +The script has no arguments and writes only to an in-memory store. + +## Interpreting the output + +The numbers are specific to your CPU, your Python build, and the workload chosen +here. They are a measurement of your machine, not a published benchmark -- treat +a single run as indicative and re-measure against your own data and store before +switching pipelines in production. + +Two effects are worth watching for: + +- **The two codec regimes tell opposite stories about `max_workers`.** + Uncompressed IO is dominated by per-chunk *scheduling*, so `Fused (1 worker)` + is already fastest and a thread pool only adds overhead. gzip is genuinely + CPU-bound: a single worker compresses chunk after chunk sequentially and can + be *slower than the default*, while a thread pool spreads that compression + over cores and reclaims the win. That flip is why the fused pipeline is + threaded by default, and why pinning `max_workers=1` is worth it for + memory-backed uncompressed data. +- **Chunk size decides whether threading can help at all.** The 64×64 inner + chunks here are small enough that per-chunk scheduling dominates uncompressed + IO, yet large enough that per-chunk gzip is real work to parallelize. Much + coarser chunks leave the pool with too few items to spread. diff --git a/examples/codec_pipeline_performance/codec_pipeline_performance.py b/examples/codec_pipeline_performance/codec_pipeline_performance.py new file mode 100644 index 0000000000..b821f3e6a7 --- /dev/null +++ b/examples/codec_pipeline_performance/codec_pipeline_performance.py @@ -0,0 +1,214 @@ +# /// script +# requires-python = ">=3.11" +# dependencies = [ +# "zarr @ git+https://github.com/zarr-developers/zarr-python.git@main", +# "numpy", +# ] +# /// + +""" +Compare the `BatchedCodecPipeline` and the `FusedCodecPipeline`. + +The default `BatchedCodecPipeline` schedules storage IO and codec compute +asynchronously -- roughly one coroutine per chunk operation. For a *sharded* +array that means one coroutine per inner chunk inside every shard. That is the +right model for high-latency stores, where there is useful work to do while +waiting for IO. For low-latency stores (in-process memory, the local +filesystem) the IO completes too quickly for the overlap to pay for itself, and +the scheduling becomes pure overhead. + +The `FusedCodecPipeline` runs codec compute and synchronous IO synchronously, +removing that overhead. Whether it wins, and whether its thread pool helps, +depends on which resource is actually scarce: + + * Uncompressed IO is dominated by per-chunk *scheduling*, not compute. There + is nothing for a thread pool to parallelize, so a single worker is already + fastest and extra workers only add overhead. + * gzip is genuinely CPU-bound. A single worker compresses every chunk + sequentially and can be *slower than the default*, while a thread pool + spreads that compression across cores and reclaims the win. This is when + `max_workers > 1` earns its keep. + +Run it with: + + uv run codec_pipeline_performance.py + +Numbers are hardware-, layout-, and codec-dependent. Treat the output as a +measurement of *your* machine, not as a published benchmark. +""" + +from __future__ import annotations + +import operator +import os +import statistics +import tempfile +import timeit +from pathlib import Path +from typing import TYPE_CHECKING + +import numpy as np + +import zarr +from zarr.storage import LocalStore, MemoryStore + +if TYPE_CHECKING: + from collections.abc import Callable + + from zarr.abc.store import Store + +BATCHED = "zarr.core.codec_pipeline.BatchedCodecPipeline" +FUSED = "zarr.core.codec_pipeline.FusedCodecPipeline" + +# gzip is CPU-bound to encode, which is exactly the regime where the thread +# pool matters. Level 6 is gzip's own default. +GZIP = {"name": "gzip", "configuration": {"level": 6}} + +# 4096x4096 int32 = 64 MiB, split into 16 shards of 1024x1024, each holding +# 16x16 = 256 inner chunks of 64x64 -> 4096 inner chunks in total. The chunks +# are small enough that per-chunk coroutine scheduling dominates uncompressed +# IO, yet large enough that per-chunk gzip is real work to spread over cores. +SHAPE = (4096, 4096) +SHARDS = (1024, 1024) +CHUNKS = (64, 64) +DTYPE = "int32" + +CONFIGS: tuple[tuple[str, dict[str, object]], ...] = ( + ("Batched (default)", {"codec_pipeline.path": BATCHED}), + ("Fused (1 worker)", {"codec_pipeline.path": FUSED, "codec_pipeline.max_workers": 1}), + ("Fused (cpu_count)", {"codec_pipeline.path": FUSED, "codec_pipeline.max_workers": None}), +) + + +def time_call(fn: Callable[[], object], repeat: int = 3) -> float: + """Median wall-clock seconds for one call to `fn`. + + `timeit.Timer` supplies `perf_counter` and disables the cyclic garbage + collector during each run, so a collection triggered by earlier work cannot + land inside a measurement. `number=1` because a single call here already + moves 64 MiB -- the per-call overhead `timeit` amortizes is irrelevant at + this scale. + """ + return statistics.median(timeit.Timer(fn).repeat(repeat=repeat, number=1)) + + +def measure( + settings: dict[str, object], + store: Store, + data: np.ndarray, + compressors: object, +) -> tuple[float, float]: + """Time one full write and one full read of `data` under `settings`. + + The whole operation runs inside `zarr.config.set`, not just the array + construction. The pipeline class is resolved when the array is built, but + `codec_pipeline.max_workers` is read *per operation*, so a timed call made + outside the config block would silently use whatever worker count was + globally in effect -- which makes every configuration look identical. + """ + everything = slice(None) + + def write_once() -> None: + with zarr.config.set(settings): + array = zarr.create_array( + store=store, + shape=SHAPE, + chunks=CHUNKS, + shards=SHARDS, + dtype=DTYPE, + compressors=compressors, + fill_value=0, + overwrite=True, + ) + operator.setitem(array, everything, data) + + write = time_call(write_once) + + # The bytes on disk are identical whichever pipeline wrote them, so reading + # back what we just wrote isolates read performance on the same data. + def read_once() -> object: + with zarr.config.set(settings): + return zarr.open_array(store=store, mode="r")[everything] + + read = time_call(read_once) + + if not np.array_equal(read_once(), data): + raise AssertionError("round trip mismatch") + return write, read + + +def make_store(kind: str, tmp: Path) -> Store: + if kind == "memory": + return MemoryStore() + return LocalStore(tmp / f"demo_{kind}_{os.getpid()}.zarr") + + +def main() -> None: + n_cpu = os.cpu_count() or 1 + + # Each regime gets the data that actually exercises it. `arange` is + # trivially compressible, which is fine when nothing compresses it, but it + # would make gzip finish almost instantly and hide the CPU-bound behavior + # this example is about. The noisy array keeps gzip genuinely busy. + n = int(np.prod(SHAPE)) + plain_data = np.arange(n, dtype=DTYPE).reshape(SHAPE) + noisy_data = np.random.default_rng(0).integers(0, 2**24, size=SHAPE, dtype=DTYPE) + + n_shards = int(np.prod([s // c for s, c in zip(SHAPE, SHARDS, strict=True)])) + per_shard = int(np.prod([s // c for s, c in zip(SHARDS, CHUNKS, strict=True)])) + print(f"zarr {zarr.__version__} | {n_cpu} CPUs") + print( + f"array {SHAPE} {DTYPE} = {plain_data.nbytes / 2**20:.0f} MiB | " + f"{n_shards} shards x {per_shard} inner chunks = {n_shards * per_shard} chunks\n" + ) + + with tempfile.TemporaryDirectory() as tmp: + for store_kind in ("memory", "local"): + for codec_label, compressors, data in ( + ("uncompressed", None, plain_data), + ("gzip-6 (CPU-bound)", GZIP, noisy_data), + ): + print(f"=== {store_kind} store / {codec_label} ===") + print( + f"{'pipeline':<22}{'write (s)':>11}{'vs base':>10}" + f"{'read (s)':>12}{'vs base':>10}" + ) + results: dict[str, tuple[float, float]] = {} + for label, settings in CONFIGS: + store = make_store(store_kind, Path(tmp)) + results[label] = measure(settings, store, data, compressors) + + base_write, base_read = results[CONFIGS[0][0]] + for label, (write, read) in results.items(): + print( + f"{label:<22}{write:>10.3f}{base_write / write:>9.1f}x" + f"{read:>11.3f}{base_read / read:>9.1f}x" + ) + + # The headline comparison: does the thread pool earn its keep? + single_write, single_read = results["Fused (1 worker)"] + pool_write, pool_read = results["Fused (cpu_count)"] + print( + f" workers (cpu_count vs 1 worker): " + f"write {single_write / pool_write:.1f}x " + f"read {single_read / pool_read:.1f}x" + ) + print() + + print( + "Reading it:\n" + " * Uncompressed IO is scheduling-bound, so Fused (1 worker) is already\n" + " fastest -- a thread pool has nothing to parallelize and only adds\n" + " overhead.\n" + " * gzip is CPU-bound, so Fused (1 worker) can be *slower* than the\n" + " default, while Fused (cpu_count) spreads compression across cores\n" + " and reclaims the win. That flip is why the fused pipeline is\n" + " threaded by default, and why pinning max_workers=1 is worth it for\n" + " memory-backed uncompressed data.\n" + " * `codec_pipeline.max_workers` is read only by the FusedCodecPipeline;\n" + " the default BatchedCodecPipeline ignores it." + ) + + +if __name__ == "__main__": + main() diff --git a/examples/sharding_coalescing/README.md b/examples/sharding_coalescing/README.md new file mode 100644 index 0000000000..29ba08c9ce --- /dev/null +++ b/examples/sharding_coalescing/README.md @@ -0,0 +1,63 @@ +# Sharded Read Coalescing + +This example demonstrates byte-range coalescing for partial reads of sharded +arrays, a performance optimization added in Zarr-Python 3.3.0 and enabled by +default. + +A shard is one stored object containing many inner chunks, each occupying its own +byte range. Reading N inner chunks could mean N separate byte-range requests. +Because byte ranges are intervals, nearby ranges can be merged: `[a, b)` and +`[b, c)` together cover `[a, c)`, so a single request can serve both. Merging +trades reading some bytes you did not ask for against issuing fewer requests -- +worthwhile whenever a request is expensive, as with object storage. + +## What it shows + +- Reading scattered inner chunks from one shard with coalescing **off** issues + one store request per inner chunk; with the **default** settings the same read + collapses to a single request. +- The resulting wall-clock difference against a store with simulated latency. +- That coalescing changes only *how* data is fetched, never *what* is returned -- + the script asserts both configurations produce identical arrays. +- A case where coalescing changes nothing: a contiguous selection already has + adjacent byte ranges, so it merges under any setting. + +## Running + +```bash +uv run sharding_coalescing.py +``` + +## How the comparison is set up + +Two details make the effect observable, and both are worth understanding if you +adapt this script: + +- **The selection must have gaps.** A contiguous read produces adjacent byte + ranges that merge regardless of configuration. The strided selections skip + inner chunks, creating the gaps that the `sharding_coalesce_max_gap_bytes` + budget decides whether to bridge. +- **Latency must be charged per merged fetch.** The example defines a small + `WrapperStore` subclass that sleeps in `get`. It deliberately does *not* keep + `WrapperStore.get_ranges`, which forwards straight to the wrapped store and + would bypass the latency entirely; inheriting the `Store` ABC's `get_ranges` + instead runs the coalescer over its own `get`, so each merged fetch pays once. + + `zarr.testing.store` ships a ready-made `LatencyStore`, but importing it pulls + in `pytest`. Defining the wrapper inline keeps the example runnable with only + `zarr` and `numpy` installed. + +## Configuration + +Two settings control the behavior, both settable globally via `zarr.config` or +per array via `config=` on `zarr.create_array` / `Array.with_config`: + +| Setting | Default | Meaning | +| --- | --- | --- | +| `sharding_coalesce_max_gap_bytes` | 1 MiB | Merge two ranges only if the gap between them is no larger than this | +| `sharding_coalesce_max_bytes` | 16 MiB | Never let a merged read exceed this size | + +Setting the gap to `0` merges only exactly-adjacent ranges, which approximates +the pre-3.3.0 behavior; that is how the example emulates the old path. Raising +the gap reads more unwanted bytes in exchange for fewer round trips -- the right +value depends on how expensive a request is against how fast your link is. diff --git a/examples/sharding_coalescing/sharding_coalescing.py b/examples/sharding_coalescing/sharding_coalescing.py new file mode 100644 index 0000000000..5da62ed806 --- /dev/null +++ b/examples/sharding_coalescing/sharding_coalescing.py @@ -0,0 +1,226 @@ +# /// script +# requires-python = ">=3.11" +# dependencies = [ +# "zarr @ git+https://github.com/zarr-developers/zarr-python.git@main", +# "numpy", +# ] +# /// + +""" +Demonstrate byte-range coalescing for partial reads of sharded arrays. + +A shard is a single stored object holding many inner chunks, each occupying +its own byte range. Reading N inner chunks could mean issuing N separate +byte-range requests to the store. Because byte ranges are intervals, a reader +can instead merge nearby ranges: `[a, b)` and `[b, c)` together cover +`[a, c)`, so one request can serve both. Merging trades reading some bytes you +did not ask for against issuing fewer requests -- a good trade whenever a +request is expensive, which is the normal case for object storage. + +Zarr-Python 3.3.0 does this automatically. Two settings control it: + + * `sharding_coalesce_max_gap_bytes` (default 1 MiB) -- merge two ranges only + if the gap between them is no larger than this. + * `sharding_coalesce_max_bytes` (default 16 MiB) -- never let a merged read + exceed this size. + +Setting the gap to 0 disables merging of non-adjacent ranges, which +approximates the pre-3.3.0 behavior. This script compares the two, counting +store requests and measuring wall-clock time against a store with simulated +latency. + +Run it with: + + uv run sharding_coalescing.py +""" + +from __future__ import annotations + +import asyncio +import operator +import statistics +import timeit +from contextlib import contextmanager +from functools import partial +from typing import TYPE_CHECKING + +import numpy as np + +import zarr +import zarr.core._coalesce as coalesce_module +from zarr.abc.store import ByteRequest, RangeByteRequest, Store +from zarr.storage import MemoryStore, WrapperStore + +if TYPE_CHECKING: + from collections.abc import Callable, Iterator, Sequence + + from zarr.core.buffer import Buffer, BufferPrototype + +# Emulates the pre-3.3.0 behavior: with a zero gap budget, only ranges that are +# exactly adjacent get merged, so scattered inner chunks are fetched one by one. +NO_COALESCING = {"sharding_coalesce_max_gap_bytes": 0} + +# The shipped defaults. Spelled out here so the comparison is explicit rather +# than relying on whatever the global config happens to be. +DEFAULT_COALESCING = { + "sharding_coalesce_max_gap_bytes": 1 << 20, # 1 MiB + "sharding_coalesce_max_bytes": 16 << 20, # 16 MiB +} + +GET_LATENCY_S = 0.005 # 5 ms per request, a modest stand-in for object storage + + +class PerRequestLatencyStore(WrapperStore[Store]): + """Wraps a store, charging a fixed latency per byte-range fetch. + + `zarr.testing.store` ships a `LatencyStore`, but importing it pulls in + `pytest`; defining the wrapper here keeps this example runnable with only + zarr and numpy installed. + + Two details matter for the measurement: + + * The latency is applied in `get`, which is what an individual fetch costs. + * `get_ranges` is explicitly *not* overridden to forward to the wrapped + store. `WrapperStore.get_ranges` does forward, which would skip this + class's `get` entirely and make every configuration look identical. + Inheriting the `Store` ABC's implementation instead runs the coalescer + over `self.get`, so each *merged* fetch pays the latency once -- which is + exactly the cost coalescing exists to reduce. + """ + + get_ranges = Store.get_ranges + + def __init__(self, store: Store, *, get_latency: float) -> None: + super().__init__(store) + self.get_latency = get_latency + + def _with_store(self, store: Store) -> PerRequestLatencyStore: + # `WrapperStore` rebuilds the wrapper when opening read-only, so the + # latency setting has to be carried across. + return type(self)(store, get_latency=self.get_latency) + + async def get( + self, + key: str, + prototype: BufferPrototype, + byte_range: ByteRequest | None = None, + ) -> Buffer | None: + await asyncio.sleep(self.get_latency) + return await self._store.get(key, prototype, byte_range) + + +@contextmanager +def counting_requests() -> Iterator[Callable[[], int]]: + """Count the store fetches issued inside the block. + + Wraps the coalescing planner rather than the store: every merged group it + returns, plus every range it declined to merge, becomes exactly one fetch. + Counting here rather than at the store means the number reported is the + planner's decision, which is precisely what the settings control. + """ + original = coalesce_module.coalesce_ranges + total = 0 + + def counting_coalesce_ranges( + byte_ranges: Sequence[ByteRequest | None], + *, + max_gap_bytes: int, + max_coalesced_bytes: int, + ) -> tuple[ + list[list[tuple[int, RangeByteRequest]]], + list[tuple[int, ByteRequest | None]], + ]: + nonlocal total + groups, uncoalescable = original( + byte_ranges, + max_gap_bytes=max_gap_bytes, + max_coalesced_bytes=max_coalesced_bytes, + ) + total += len(groups) + len(uncoalescable) + return groups, uncoalescable + + coalesce_module.coalesce_ranges = counting_coalesce_ranges + try: + yield lambda: total + finally: + coalesce_module.coalesce_ranges = original + + +def measure_read(array: zarr.Array, selection: slice) -> tuple[int, float]: + """Return (store fetches, median seconds) for reading `selection`.""" + read = partial(operator.getitem, array, selection) + + with counting_requests() as fetches: + result = read() + requests = fetches() + + # `timeit.Timer` supplies the loop, `perf_counter`, and GC handling. The + # median of several runs keeps one unlucky run from dominating. + elapsed = statistics.median(timeit.Timer(read).repeat(repeat=5, number=1)) + + assert result.size > 0 # a read that returned nothing would time as "fast" + return requests, elapsed + + +def main() -> None: + n = 8192 + chunk = 64 + inner_chunks = n // chunk + + base = MemoryStore() + source = (np.arange(n, dtype="uint64") % 251).astype("uint8") + + # One shard holding every inner chunk, uncompressed so inner-chunk byte + # offsets stay predictable and the demonstration is easy to reason about. + writable = zarr.create_array( + store=base, shape=(n,), chunks=(chunk,), shards=(n,), dtype="uint8", compressors=None + ) + writable[:] = source + + store = PerRequestLatencyStore(base, get_latency=GET_LATENCY_S) + + print(f"zarr {zarr.__version__}") + print(f"array: {n} uint8 values, {inner_chunks} inner chunks of {chunk} in a single shard") + print(f"store: MemoryStore wrapped with {GET_LATENCY_S * 1000:.0f} ms of latency per request\n") + + # A strided selection touches inner chunks with unread chunks in between, + # so there are real gaps for the coalescer to bridge. A contiguous + # selection would merge under any setting, since its ranges are adjacent. + selections = { + "every 2nd inner chunk": slice(None, None, chunk * 2), + "every 4th inner chunk": slice(None, None, chunk * 4), + "contiguous quarter": slice(0, n // 4), + } + + header = f"{'selection':<24} {'coalescing':<12} {'requests':>9} {'time':>10}" + print(header) + print("-" * len(header)) + + for label, selection in selections.items(): + results = {} + for mode, config in (("off", NO_COALESCING), ("default", DEFAULT_COALESCING)): + array = zarr.open_array(store=store, mode="r").with_config(config) + requests, elapsed = measure_read(array, selection) + results[mode] = (requests, elapsed) + print(f"{label:<24} {mode:<12} {requests:>9} {elapsed * 1000:>9.1f}ms") + + off_requests, off_time = results["off"] + on_requests, on_time = results["default"] + if on_requests < off_requests: + print( + f"{'':<24} {'->':<12} " + f"{off_requests // on_requests:>8}x fewer {off_time / on_time:>9.1f}x faster" + ) + else: + print(f"{'':<24} {'->':<12} {'no change (ranges already adjacent)':>30}") + print() + + # Correctness is the point: coalescing must not change what you read back. + for mode, config in (("off", NO_COALESCING), ("default", DEFAULT_COALESCING)): + array = zarr.open_array(store=store, mode="r").with_config(config) + assert np.array_equal(array[::128], source[::128]), mode + print("Both configurations return identical data; coalescing only changes how it is fetched.") + + +if __name__ == "__main__": + main() diff --git a/mkdocs.yml b/mkdocs.yml index 87aaf23430..b414c73196 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -31,6 +31,8 @@ nav: - Examples: - user-guide/examples/custom_dtype.md - user-guide/examples/rectilinear_chunks.md + - user-guide/examples/codec_pipeline_performance.md + - user-guide/examples/sharding_coalescing.md - API Reference: - api/zarr/index.md - ' zarr.abc': @@ -95,6 +97,8 @@ nav: - 'zarr-metadata ↪': https://zarr-metadata.readthedocs.io/ - release-notes.md - contributing.md + - Blog: + - blog/index.md hooks: - mkdocs_hooks.py @@ -153,6 +157,14 @@ extra_css: plugins: - autorefs + - blog: + blog_dir: blog + post_dir: "{blog}/posts" + post_url_format: "{slug}" + # The blog is a simple reverse-chronological list of posts; the archive + # and category indexes add navigation we don't have the volume to justify. + archive: false + categories: false - search - markdown-exec - mkdocstrings: