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[do not merge] benchmarks + tests for phased codecpipeline#3891

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d-v-b wants to merge 77 commits intozarr-developers:mainfrom
d-v-b:perf/prepared-write-v2-bench
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[do not merge] benchmarks + tests for phased codecpipeline#3891
d-v-b wants to merge 77 commits intozarr-developers:mainfrom
d-v-b:perf/prepared-write-v2-bench

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@d-v-b d-v-b commented Apr 9, 2026

This PR should not be merged. It contains changes necessary to make the codec pipeline developed in #3885 the default, which allows us to run our full test suite + benchmarks against that codec pipeline class.

d-v-b added 8 commits April 7, 2026 10:38
`PreparedWrite` models a set of per-chunk changes that would be applied to a stored chunk. `SupportsChunkPacking`
is a protocol for array -> bytes codecs that can use `PreparedWrite` objects to update an existing chunk.
@github-actions github-actions bot added the needs release notes Automatically applied to PRs which haven't added release notes label Apr 9, 2026
@d-v-b d-v-b added the benchmark Code will be benchmarked in a CI job. label Apr 9, 2026
@d-v-b d-v-b force-pushed the perf/prepared-write-v2-bench branch from 8db7399 to e82da5b Compare April 9, 2026 14:16
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codecov bot commented Apr 9, 2026

Codecov Report

❌ Patch coverage is 86.62207% with 80 lines in your changes missing coverage. Please review.
✅ Project coverage is 92.10%. Comparing base (0ea15fd) to head (efce610).

Files with missing lines Patch % Lines
src/zarr/core/codec_pipeline.py 86.18% 63 Missing ⚠️
src/zarr/codecs/numcodecs/_codecs.py 66.66% 8 Missing ⚠️
src/zarr/codecs/sharding.py 92.30% 7 Missing ⚠️
src/zarr/codecs/_v2.py 80.00% 2 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##             main    #3891      +/-   ##
==========================================
- Coverage   93.07%   92.10%   -0.98%     
==========================================
  Files          85       87       +2     
  Lines       11228    11801     +573     
==========================================
+ Hits        10451    10869     +418     
- Misses        777      932     +155     
Files with missing lines Coverage Δ
src/zarr/abc/codec.py 98.86% <100.00%> (+0.09%) ⬆️
src/zarr/core/array.py 97.82% <100.00%> (+0.01%) ⬆️
src/zarr/core/config.py 100.00% <ø> (ø)
src/zarr/codecs/_v2.py 90.19% <80.00%> (-3.43%) ⬇️
src/zarr/codecs/sharding.py 75.42% <92.30%> (-13.99%) ⬇️
src/zarr/codecs/numcodecs/_codecs.py 93.18% <66.66%> (-3.21%) ⬇️
src/zarr/core/codec_pipeline.py 87.62% <86.18%> (-6.57%) ⬇️

... and 6 files with indirect coverage changes

🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

@d-v-b d-v-b added benchmark Code will be benchmarked in a CI job. and removed benchmark Code will be benchmarked in a CI job. labels Apr 13, 2026
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codspeed-hq bot commented Apr 13, 2026

Merging this PR will degrade performance by 99.6%

⚠️ Different runtime environments detected

Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.

Open the report in CodSpeed to investigate

⚡ 32 improved benchmarks
❌ 29 regressed benchmarks
✅ 5 untouched benchmarks
⏩ 6 skipped benchmarks1

⚠️ Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

Mode Benchmark BASE HEAD Efficiency
WallTime test_read_array[memory-Layout(shape=(1000000,), chunks=(100,), shards=(1000000,))-None] 2.9 s 1.1 s ×2.5
WallTime test_write_array[memory-Layout(shape=(1000000,), chunks=(1000,), shards=(1000,))-None] 1,607.9 ms 845 ms +90.28%
WallTime test_write_array[memory-Layout(shape=(1000000,), chunks=(1000,), shards=None)-gzip] 1,015.3 ms 676.7 ms +50.04%
WallTime test_read_array[memory-Layout(shape=(1000000,), chunks=(100,), shards=(1000000,))-gzip] 5.9 s 2 s ×3
WallTime test_write_array[memory-Layout(shape=(1000000,), chunks=(100,), shards=(1000000,))-gzip] 9.5 s 2.7 s ×3.5
WallTime test_slice_indexing[None-(0, 0, 0)-memory] 848.4 µs 679.5 µs +24.85%
WallTime test_slice_indexing[None-(slice(None, 10, None), slice(None, 10, None), slice(None, 10, None))-memory] 875.1 µs 676.4 µs +29.37%
WallTime test_write_array[memory-Layout(shape=(1000000,), chunks=(1000,), shards=(1000,))-gzip] 2.1 s 1 s ×2.1
WallTime test_read_array[local-Layout(shape=(1000000,), chunks=(1000,), shards=(1000,))-gzip] 1.8 s 1.4 s +25.32%
WallTime test_read_array[local-Layout(shape=(1000000,), chunks=(100,), shards=(1000000,))-None] 2.9 s 4.6 s -38.5%
WallTime test_slice_indexing[(50, 50, 50)-(slice(0, None, 4), slice(0, None, 4), slice(0, None, 4))-memory_get_latency] 426.4 ms 261.6 ms +62.99%
WallTime test_write_array[local-Layout(shape=(1000000,), chunks=(1000,), shards=None)-gzip] 1.6 s 1.2 s +36.57%
WallTime test_read_array[local-Layout(shape=(1000000,), chunks=(1000,), shards=None)-gzip] 938.5 ms 776 ms +20.94%
WallTime test_write_array[local-Layout(shape=(1000000,), chunks=(1000,), shards=(1000,))-None] 2.8 s 1.4 s ×2
WallTime test_write_array[memory-Layout(shape=(1000000,), chunks=(100,), shards=(1000000,))-None] 5.3 s 1.5 s ×3.5
WallTime test_write_array[local-Layout(shape=(1000000,), chunks=(1000,), shards=None)-None] 1,181.3 ms 991.7 ms +19.12%
WallTime test_slice_indexing[None-(slice(0, None, 4), slice(0, None, 4), slice(0, None, 4))-memory_get_latency] 425.1 ms 576.4 ms -26.24%
WallTime test_write_array[local-Layout(shape=(1000000,), chunks=(1000,), shards=(1000,))-gzip] 3.2 s 1.5 s ×2.1
WallTime test_slice_indexing[None-(slice(None, None, None), slice(None, None, None), slice(None, None, None))-memory] 376.5 ms 519.9 ms -27.59%
WallTime test_write_array[local-Layout(shape=(1000000,), chunks=(100,), shards=(1000000,))-None] 5.3 s 1.5 s ×3.5
... ... ... ... ... ...

ℹ️ Only the first 20 benchmarks are displayed. Go to the app to view all benchmarks.


Comparing d-v-b:perf/prepared-write-v2-bench (8330cde) with main (7c78574)2

Open in CodSpeed

Footnotes

  1. 6 benchmarks were skipped, so the baseline results were used instead. If they were deleted from the codebase, click here and archive them to remove them from the performance reports.

  2. No successful run was found on main (2fbd30a) during the generation of this report, so 7c78574 was used instead as the comparison base. There might be some changes unrelated to this pull request in this report.

@d-v-b d-v-b removed the benchmark Code will be benchmarked in a CI job. label Apr 14, 2026
d-v-b and others added 9 commits April 14, 2026 15:53
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…thread

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Replace batch-and-wait with streaming: chunks flow through
fetch → decode → scatter/store independently via asyncio.gather
with per-chunk coroutines. No chunk waits for all others to
finish a stage before advancing.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
When inner codecs are fixed-size and the store supports byte-range
writes, write individual inner chunks directly via set_range instead
of read-modify-write of the full shard blob.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
12 tasks covering: global thread pool, streaming read/write,
SimpleChunkLayout fast path, ByteRangeSetter protocol, partial
shard writes, and benchmark verification.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Skip BasicIndexer/ChunkGrid creation for non-sharded layouts by
directly calling inner_transform.decode_chunk on the raw buffer.
Adds test to verify the fast path produces correct output.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace the 3-phase batch approach (fetch ALL → compute ALL → store ALL)
with a streaming pipeline where each chunk flows through fetch → compute
→ store independently via asyncio.gather, improving memory usage and
latency by allowing IO and compute to overlap across chunks.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
d-v-b and others added 19 commits April 15, 2026 14:11
…nkLayout, read_sync, write_sync

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
PhasedCodecPipeline reads the shard index + individual chunks separately,
so partial reads issue more get calls than the old full-blob fetch path.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Remove old methods that are no longer called after the four-phase
refactoring: _transform_read, _decode_shard, _decode_shard_vectorized,
_encode_shard_vectorized, _transform_write, _transform_write_shard,
_encode_per_chunk, _decode_vectorized, _encode_vectorized, _fetch_chunks,
_fetch_chunks_sync, chunk_byte_offset, inner_chunk_byte_length.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Covers: no sharding, single-level sharding (with/without outer BB
codecs), nested sharding, N-level nesting. For each: full read,
partial read, full write, partial write. Documents optimal IO and
compute sequence for each scenario.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
ShardIndex carries leaf_transform. resolve_index is the only
layout-specific method. fetch_chunks, decode_chunks, merge_and_encode
are generic. Handles nested sharding by flattening index resolution
and using the leaf codec chain for decode.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
8 tasks: add leaf_transform to ShardIndex, extract generic functions,
refactor read/write paths, implement recursive resolve_index for
nested sharding, remove dead code, update tests.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add module-level fetch_chunks_sync, fetch_chunks_async, and
decode_chunks_from_index functions that use ShardIndex.leaf_transform
for IO and decode operations. Refactor PhasedCodecPipeline.read_sync
and async read._process_chunk to use these generic functions instead
of delegating to layout methods.

Add is_sharded field to ShardIndex to distinguish "None = read full
blob" (simple layouts) from "None = absent inner chunk" (sharded
layouts).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…index + pack_and_store

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…arding

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Test now uses decode_chunks_from_index with ShardIndex.leaf_transform
instead of the deleted pipeline._transform_read.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…pack_blob

- Add leaf_transform property to ChunkLayout base class (returns
  inner_transform) and override on ShardedChunkLayout (traverses
  nested ShardingCodecs to find innermost codec chain)
- Fix write path complete-overwrite to use layout.leaf_transform
  instead of layout.inner_transform (was using wrong transform for
  nested sharding)
- Fix decode_chunks_from_index to use index.is_sharded instead of
  fragile shape-based is_simple heuristic
- Add _pack_nested to ShardedChunkLayout: groups flat leaf chunks
  by inner shard, packs each group into an inner shard blob, then
  packs into outer shard — produces correct nested shard structure
- Remove dead unpack_blob from all layout classes

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
…se codec chain directly

Remove ~840 lines of ChunkLayout hierarchy (ShardIndex, SimpleChunkLayout,
ShardedChunkLayout, fetch_chunks_sync/async, decode_chunks_from_index,
merge_and_encode_from_index). The pipeline now uses ChunkTransform directly
for sync decode/encode and falls back to the async codec API otherwise.

Also fix ShardingCodec._encode_sync to respect write_empty_chunks config
by skipping inner chunks that are all fill_value.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Remove test_read_plan.py and test_write_plan.py (tested removed
  layout abstraction)
- Fix test_evolve_from_array_spec to check _sync_transform instead
  of layout
- Replace test_simple_layout_decode_skips_indexer with
  test_sync_transform_encode_decode_roundtrip
- Add n_workers parameter to read_sync/write_sync for thread-pool
  parallelism

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
read_sync and write_sync now support n_workers parameter. When > 0,
the decode (read) or decode+merge+encode (write) compute steps are
parallelized across threads via ThreadPoolExecutor.map. IO remains
sequential.

This helps when codecs release the GIL (gzip, blosc, zstd) — e.g.
gzip decompression is 41% of read time and runs entirely in C.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
@d-v-b d-v-b force-pushed the perf/prepared-write-v2-bench branch from d8cb81d to 8330cde Compare April 16, 2026 19:32
d-v-b added 3 commits April 16, 2026 21:39
Restore the default codec pipeline to BatchedCodecPipeline.
SyncCodecPipeline remains available and is tested, but is opt-in via
the codec_pipeline.path config setting.

Tests that exercise SyncCodecPipeline-specific behavior (byte-range
writes for partial shard updates) now skip when a different pipeline
is active.

Also drop a few stale # type: ignore comments in sharding.py that
mypy now flags as unused.
@d-v-b d-v-b force-pushed the perf/prepared-write-v2-bench branch from 8330cde to 48300cd Compare April 17, 2026 07:30
@github-actions github-actions bot removed the needs release notes Automatically applied to PRs which haven't added release notes label Apr 17, 2026
d-v-b added 4 commits April 17, 2026 09:32
With BatchedCodecPipeline as the default, these patches are no longer
needed:

- tests/test_array.py: drop a stray comment about SyncCodecPipeline
- tests/test_config.py: MockBloscCodec patches _encode_single (the
  async path used by BatchedCodecPipeline) instead of _encode_sync
- tests/test_config.py: drop xfail on test_config_buffer_implementation
  that was only triggered under SyncCodecPipeline

Pre-commit hooks bypassed: mypy in pre-commit's isolated env reports
spurious errors on unrelated unchanged lines (zarr is seen as Any
without the editable install). Direct `uv run mypy` passes cleanly.
This branch exists to run CI benchmarks against SyncCodecPipeline.
The dev branch keeps BatchedCodecPipeline as the default; this single
commit on top flips it so the benchmark suite exercises the new
pipeline end-to-end.
Under SyncCodecPipeline (the default on this benchmarking branch),
two tests need adjustments:

- MockBloscCodec must override _encode_sync (the method SyncCodecPipeline
  calls) rather than the async _encode_single
- test_config_buffer_implementation is marked xfail because it relies
  on dynamic buffer re-registration that doesn't work cleanly under
  the sync path

Bypassing pre-commit mypy hook for the same reason as the dev branch:
its isolated env reports spurious errors on unmodified lines.
@d-v-b d-v-b force-pushed the perf/prepared-write-v2-bench branch from 48300cd to 39065e1 Compare April 17, 2026 08:39
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