Comments (1)
Here's some profiling data on an operation that takes 15 milliseconds with a DirectoryStore:
24842632 function calls in 16.836 seconds
Ordered by: cumulative time
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 16.836 16.836 {built-in method builtins.exec}
1 0.000 0.000 16.836 16.836 <string>:1(<module>)
1 0.001 0.001 16.836 16.836 core.py:292(__getitem__)
20 0.302 0.015 16.834 0.842 core.py:539(_chunk_getitem)
20 0.000 0.000 16.518 0.826 storage.py:732(__getitem__)
20 0.000 0.000 16.515 0.826 zipfile.py:981(__init__)
20 6.168 0.308 16.514 0.826 zipfile.py:1085(_RealGetContents)
1307400 3.530 0.000 4.484 0.000 {method 'decode' of 'bytes' objects}
1307380 1.774 0.000 2.376 0.000 zipfile.py:436(_decodeExtra)
1307380 1.780 0.000 2.302 0.000 zipfile.py:320(__init__)
1307400 0.427 0.000 0.954 0.000 cp437.py:14(decode)
3922200 0.806 0.000 0.806 0.000 {built-in method _struct.unpack}
5229520 0.599 0.000 0.599 0.000 {method 'read' of '_io.BytesIO' objects}
1307400 0.527 0.000 0.527 0.000 {built-in method _codecs.charmap_decode}
1307380 0.317 0.000 0.317 0.000 {method 'find' of 'str' objects}
5229623 0.270 0.000 0.270 0.000 {built-in method builtins.len}
1307380 0.205 0.000 0.205 0.000 {built-in method builtins.chr}
1307420 0.087 0.000 0.087 0.000 {method 'append' of 'list' objects}
from zarr-python.
Related Issues (20)
- [v3] benchmarks and performance tools HOT 1
- `zarr.{array,config,group}` are both modules and functions HOT 5
- _merge_chunk_array could allocate memory more carefully HOT 5
- Adding GPU CI HOT 7
- Re-enable dependabot on `main` branch HOT 2
- [v3] Inner chunk size validation behavior for `ShardingCodec` when downstream of `TransposeCodec` HOT 1
- zarr-python cannot read arrays saved by tensorstore using the zstd compressor HOT 1
- write_empty_chunks and zarr.zeros HOT 1
- Boolean array uses same amount of space as uint8 HOT 2
- pytest is an unnecessary dependency? HOT 4
- Keys not URL-decoded when loaded over the network
- parallel append broken with ProcessSynchronizer HOT 3
- User attributes not being saved to file HOT 9
- Failure to encode `object` types when used with `zarr.full` HOT 4
- How easy can it be to create a zarr array
- Inconsistent reading performance with multiple cpu threads
- deprecate n5 HOT 1
- Enable ruff rull B905 on v2 branch
- Store ABC doesn't match spec HOT 2
- [v3] Implement store methods for erase and rename operations
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from zarr-python.