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- cisaacstern · 5 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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1124068133 | https://github.com/pydata/xarray/pull/6476#issuecomment-1124068133 | https://api.github.com/repos/pydata/xarray/issues/6476 | IC_kwDOAMm_X85C_-sl | cisaacstern 62192187 | 2022-05-11T17:39:42Z | 2022-05-11T17:39:42Z | CONTRIBUTOR | Thanks all for your mentorship on this! Excited to continue contributing. |
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Fix zarr append dtype checks 1200716594 | |
1122850296 | https://github.com/pydata/xarray/pull/6476#issuecomment-1122850296 | https://api.github.com/repos/pydata/xarray/issues/6476 | IC_kwDOAMm_X85C7VX4 | cisaacstern 62192187 | 2022-05-10T20:54:05Z | 2022-05-10T20:55:46Z | CONTRIBUTOR | @shoyer just wanted to chime in with a bump to say that I'll greatly appreciate your review of this PR when you get a moment. This fix is currently the only blocker for https://github.com/pangeo-forge/staged-recipes/issues/120. (I've just confirmed today that installing xarray from this PR branch resolves the error there, as detailed in bullets 2-3 of https://github.com/pangeo-forge/staged-recipes/issues/120#issuecomment-1122846802.) I'm sure you're quite busy, so just want to emphasize how much I appreciate your attention to this, whenever you get a chance. |
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Fix zarr append dtype checks 1200716594 | |
1097408858 | https://github.com/pydata/xarray/pull/6476#issuecomment-1097408858 | https://api.github.com/repos/pydata/xarray/issues/6476 | IC_kwDOAMm_X85BaSFa | cisaacstern 62192187 | 2022-04-13T00:08:33Z | 2022-04-13T19:59:32Z | CONTRIBUTOR | Here's a first pass at a solution for #6345. This is a new area for me, so I certainly look forward to feedback from those with more experience. The issue identified in #6345 was lack of support for append-mode Zarr writes for variables with dtype The MRE at the top of the linked issue demonstrated this problem for the case in which a new variable is being added, to which @shoyer replied in https://github.com/pydata/xarray/issues/6345#issuecomment-1065381346:
In this comment, Stephan also links to the motivating case for the datatype check, which was to prevent truncation of strings of a greater maximum length (e.g. In sum, it seems to me that the requirements for a fix to these datatype checks are as follows:
This PR accomplishes this by leaving the initial checks largely intact, with the following adjustments: | Existing checks | This PR |
| --------------- | -------- |
| Raise an error in every case if the datatype of the variable to append is not known to easily be appended (e.g. floats, etc.) | If the datatype of the variable to append is not known to be easy to append, only raise an error if its datatype does not exactly match the datatype of the corresponding variable in the existing store |
| Opinionated about datatype regardless of whether the variable is present or not in the existing store | Permissive of all datatypes if the user is adding an entirely new variable (because no potential incompatibility in this case) |
| Assumes variable will be easy to append if I've incorporated coverage for the above-listed requirements into the test suite. The way the datatype validation is now written, any datatype (not just Thank you in advance to reviewers of my first xarray PR. (Noting also that it looks like the docs build failure is common to other current PRs, and not specific to this PR.) |
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Fix zarr append dtype checks 1200716594 | |
1095736626 | https://github.com/pydata/xarray/pull/6476#issuecomment-1095736626 | https://api.github.com/repos/pydata/xarray/issues/6476 | IC_kwDOAMm_X85BT50y | cisaacstern 62192187 | 2022-04-12T00:35:20Z | 2022-04-12T00:35:20Z | CONTRIBUTOR | This WIP should close https://github.com/pydata/xarray/issues/6345 when complete. I'll mark as Ready for review along with an explanatory comment when it's ready. |
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Fix zarr append dtype checks 1200716594 | |
1065424051 | https://github.com/pydata/xarray/issues/6345#issuecomment-1065424051 | https://api.github.com/repos/pydata/xarray/issues/6345 | IC_kwDOAMm_X84_gRSz | cisaacstern 62192187 | 2022-03-11T19:28:18Z | 2022-03-11T19:31:18Z | CONTRIBUTOR | So it looks like changing to ```python def _validate_datatypes_for_zarr_append(store, dataset): """DataArray.name and Dataset keys must be a string or None"""
``` could work? |
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`to_zarr` raises `ValueError: Invalid dtype` with `mode='a'` (but not with `mode='w'`) 1164454058 |
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