pull_requests: 1188736584

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id node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
1188736584 PR_kwDOAMm_X85G2q5I 7426 closed 0 Add lazy backend ASV test 14371165 This tests xr.open_dataset without any slow file reading that can quickly become the majority of the performance time. Related to #7374. Timings for the new ASV-tests: ``` [ 50.85%] ··· dataset_io.IOReadCustomEngine.time_open_dataset ok [ 50.85%] ··· ======== ============ chunks -------- ------------ None 265±4ms {} 1.17±0.02s ======== ============ [ 54.69%] ··· dataset_io.IOReadSingleFile.time_read_dataset ok [ 54.69%] ··· ========= ============= ============= -- chunks --------- --------------------------- engine None {} ========= ============= ============= scipy 4.81±0.1ms 6.65±0.01ms netcdf4 8.41±0.08ms 10.9±0.2ms ========= ============= ============= ``` From the IOReadCustomEngine test we can see that chunking datasets with many variables (2000+) is considerably slower. 2023-01-06T22:01:26Z 2023-01-12T16:00:05Z 2023-01-11T18:56:25Z 2023-01-11T18:56:25Z 17933e7654d5502c2a580b1433c585241f915c18     0 cd9fae42815949e6441a8fde3c8dec4bb48a79ec f3b7c69e21a35452e7ba307815bc80ef39ebd2c1 MEMBER   13221727 https://github.com/pydata/xarray/pull/7426  

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