issues: 937264431
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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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| 937264431 | MDExOlB1bGxSZXF1ZXN0NjgzODQ5MjQ5 | 5577 | Faster unstacking to sparse | 2448579 | closed | 0 | 4 | 2021-07-05T17:20:59Z | 2021-12-03T16:38:51Z | 2021-12-03T16:38:49Z | MEMBER | 0 | pydata/xarray/pulls/5577 |
From 7s to 25 ms and 3.5GB to 850MB memory usage =) by passing the coordinate locations directly to the sparse constructor. ``` asv run -e --bench unstacking.UnstackingSparse.time_unstack_to_sparse --cpu-affinity=3 HEAD [ 0.00%] · For xarray commit c9251e1c <sparse-unstack>: [ 0.00%] ·· Building for conda-py3.8-bottleneck-dask-distributed-netcdf4-numpy-pandas-scipy-sparse [ 0.00%] ·· Benchmarking conda-py3.8-bottleneck-dask-distributed-netcdf4-numpy-pandas-scipy-sparse [ 0.01%] ··· Running (unstacking.UnstackingSparse.time_unstack_to_sparse_2d--).. [ 0.02%] ··· unstacking.UnstackingSparse.time_unstack_to_sparse_2d 623±30μs [ 0.02%] ··· unstacking.UnstackingSparse.time_unstack_to_sparse_3d 22.8±2ms [ 0.06%] ··· unstacking.UnstackingSparse.peakmem_unstack_to_sparse_2d 793M [ 0.06%] ··· unstacking.UnstackingSparse.peakmem_unstack_to_sparse_3d 794M [ 0.04%] · For xarray commit 80905135 <main>: [ 0.04%] ·· Building for conda-py3.8-bottleneck-dask-distributed-netcdf4-numpy-pandas-scipy-sparse.. [ 0.04%] ·· Benchmarking conda-py3.8-bottleneck-dask-distributed-netcdf4-numpy-pandas-scipy-sparse [ 0.05%] ··· Running (unstacking.UnstackingSparse.time_unstack_to_sparse_2d--).. [ 0.06%] ··· unstacking.UnstackingSparse.time_unstack_to_sparse_2d 596±30ms [ 0.06%] ··· unstacking.UnstackingSparse.time_unstack_to_sparse_3d 7.72±0.1s [ 0.02%] ··· unstacking.UnstackingSparse.peakmem_unstack_to_sparse_2d 867M [ 0.02%] ··· unstacking.UnstackingSparse.peakmem_unstack_to_sparse_3d 3.56G ``` cc @bonnland |
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13221727 | pull |