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  • delgadom · 9 ✖

issue 1

  • docs on specifying chunks in to_zarr encoding arg · 9 ✖

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  • CONTRIBUTOR · 9 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1165821172 https://github.com/pydata/xarray/pull/6542#issuecomment-1165821172 https://api.github.com/repos/pydata/xarray/issues/6542 IC_kwDOAMm_X85FfQT0 delgadom 3698640 2022-06-24T18:18:47Z 2022-06-24T18:18:47Z CONTRIBUTOR

@andersy005 last I saw this was still not building on readthedocs! I never figured out how to get around the build timeout are you sure this PR was good to go?

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  docs on specifying chunks in to_zarr encoding arg 1221393104
1123949197 https://github.com/pydata/xarray/pull/6542#issuecomment-1123949197 https://api.github.com/repos/pydata/xarray/issues/6542 IC_kwDOAMm_X85C_hqN delgadom 3698640 2022-05-11T15:45:24Z 2022-05-11T15:45:24Z CONTRIBUTOR

If there's anything you need help with or would like to discuss, please don't hesitate to raise a Zarr issue. We also enabled GH discussions over there so if that fits better feel free to use that 🙂

@jakirkham appreciate that! And just to clarify my confusion/frustration in the past was simply around the issue that I'm documenting here, which I've finally figured out! so hopefully this will help resolve the problem for future users. I agree with Ryan that there might be some changes in the defaults that could be helpful here, though setting intuitive defaults other than zarr's defaults could get messy for complex datasets with a mix of dask and in-memory arrays. But I think that's all on the xarray side?

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  docs on specifying chunks in to_zarr encoding arg 1221393104
1122796867 https://github.com/pydata/xarray/pull/6542#issuecomment-1122796867 https://api.github.com/repos/pydata/xarray/issues/6542 IC_kwDOAMm_X85C7IVD delgadom 3698640 2022-05-10T19:48:34Z 2022-05-10T19:49:04Z CONTRIBUTOR

@jakirkham were you thinking a reference to the dask docs for more info on optimal chunk sizing and aligning with storage? or are you suggesting the proposed docs change is too complex?

I was trying to address the lack of documentation on specifying chunks within a zarr array for non-dask arrays/coordinates, but also covering the weedsy (but common) case of datasets with a mix of dask & in-memory arrays/coords like in my example. I have been frustrated by zarr stores I've written with a couple dozen array chunks and thousands of coordinate chunks for this reason, but it's definitely a gnarly topic to cover concisely :P

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  docs on specifying chunks in to_zarr encoding arg 1221393104
1122790681 https://github.com/pydata/xarray/pull/6542#issuecomment-1122790681 https://api.github.com/repos/pydata/xarray/issues/6542 IC_kwDOAMm_X85C7G0Z delgadom 3698640 2022-05-10T19:41:12Z 2022-05-10T19:41:12Z CONTRIBUTOR

thank you all for being patient with this PR! seems the build failed again for the same reason. I think there might be something wrong with my examples, though it beats me what the issue is. As far as I can tell, most builds come in somewhere in the mid 900s range on readthedocs but my branch consistently times out at 1900s. I'll see if I can muster a bit of time to run through the exact rtd build workflow and figure out what's going on but probably won't get to it until this weekend.

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  docs on specifying chunks in to_zarr encoding arg 1221393104
1119775222 https://github.com/pydata/xarray/pull/6542#issuecomment-1119775222 https://api.github.com/repos/pydata/xarray/issues/6542 IC_kwDOAMm_X85Cvmn2 delgadom 3698640 2022-05-06T16:07:44Z 2022-05-06T16:07:44Z CONTRIBUTOR

now I'm getting reproducible build timeouts 😭

The docs build alone (just make html) takes around an hour on my laptop for xarray/main and just a bit longer on my branch. readthedocs seems to be timing out at 31 minutes. How does this usually work? or am I doing something wrong again?

Thanks for all the help everyone!

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  docs on specifying chunks in to_zarr encoding arg 1221393104
1118786888 https://github.com/pydata/xarray/pull/6542#issuecomment-1118786888 https://api.github.com/repos/pydata/xarray/issues/6542 IC_kwDOAMm_X85Cr1VI delgadom 3698640 2022-05-05T16:36:02Z 2022-05-05T16:36:02Z CONTRIBUTOR

@dcherian - yep I was trying to follow that guide closely but was still struggling with building using conda on my laptop's miniconda environment. The sphinx ipython directive kept running in the wrong conda environment, even after deleting sphinx, ipython, and ipykernel on my base env and making sure the env I was running make from had all the dependencies 🤷🏼‍♂️ . The docker image helped with the conda version issue but then I ran afoul of the xarray version because I used a shallow clone. oopps 😞

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  docs on specifying chunks in to_zarr encoding arg 1221393104
1118775756 https://github.com/pydata/xarray/pull/6542#issuecomment-1118775756 https://api.github.com/repos/pydata/xarray/issues/6542 IC_kwDOAMm_X85CrynM delgadom 3698640 2022-05-05T16:31:06Z 2022-05-05T16:31:06Z CONTRIBUTOR

!!! @andersy005 thank you so much! yes - I was using a shallow clone inside the docker version of the build. I really appreciate the review and for catching my error. I'll clean this up and push the changes.

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  docs on specifying chunks in to_zarr encoding arg 1221393104
1114097888 https://github.com/pydata/xarray/pull/6542#issuecomment-1114097888 https://api.github.com/repos/pydata/xarray/issues/6542 IC_kwDOAMm_X85CZ8jg delgadom 3698640 2022-05-01T01:47:27Z 2022-05-01T01:47:27Z CONTRIBUTOR

sorry I know I said I'd fix this but I'm having a very hard time figuring out what is wrong and how to build the docs. I had to set up a docker image to build them because I couldn't get the ipython directive to use the right conda env on my laptop, and now I'm getting a version error when pandas encounters the default build number on my fork. I'm a bit embarrassed that I can't figure this out, but... I think I might need a hand getting this across the finish line 😕

``` ....

13 1597.6 reading sources... [ 97%] getting-started-guide/faq

13 1600.8 reading sources... [ 97%] getting-started-guide/index

13 1600.8 reading sources... [ 97%] getting-started-guide/installing

13 1601.0 reading sources... [ 97%] getting-started-guide/quick-overview

13 1609.3 WARNING:

13 1609.3 >>>-------------------------------------------------------------------------

13 1609.3 Exception in /xarray/doc/getting-started-guide/quick-overview.rst at block ending on line 169

13 1609.3 Specify :okexcept: as an option in the ipython:: block to suppress this message

13 1609.3 ---------------------------------------------------------------------------

13 1609.3 ImportError Traceback (most recent call last)

13 1609.3 Input In [40], in <cell line: 1>()

13 1609.3 ----> 1 series.to_xarray()

13 1609.3

13 1609.3 File /srv/conda/envs/xarray-doc/lib/python3.9/site-packages/pandas/core/generic.py:3173, in NDFrame.to_xarray(self)

13 1609.3 3096 @final

13 1609.3 3097 def to_xarray(self):

13 1609.3 3098 """

13 1609.3 3099 Return an xarray object from the pandas object.

13 1609.3 3100

13 1609.3 (...)

13 1609.3 3171 speed (date, animal) int64 350 18 361 15

13 1609.3 3172 """

13 1609.3 -> 3173 xarray = import_optional_dependency("xarray")

13 1609.3 3175 if self.ndim == 1:

13 1609.3 3176 return xarray.DataArray.from_series(self)

13 1609.3

13 1609.3 File /srv/conda/envs/xarray-doc/lib/python3.9/site-packages/pandas/compat/_optional.py:164, in import_optional_dependency(name, extra, errors, min_version)

13 1609.3 162 return None

13 1609.3 163 elif errors == "raise":

13 1609.3 --> 164 raise ImportError(msg)

13 1609.3 166 return module

13 1609.3

13 1609.3 ImportError: Pandas requires version '0.15.1' or newer of 'xarray' (version '0.1.dev1+gfdf7303' currently installed).

13 1609.3

13 1609.3 <<<-------------------------------------------------------------------------

13 1609.3

13 1609.3 Exception occurred:

13 1609.3 File "/srv/conda/envs/xarray-doc/lib/python3.9/site-packages/IPython/sphinxext/ipython_directive.py", line 584, in process_input

13 1609.3 raise RuntimeError('Non Expected exception in {} line {}'.format(filename, lineno))

13 1609.3 RuntimeError: Non Expected exception in /xarray/doc/getting-started-guide/quick-overview.rst line 169

13 1609.3 The full traceback has been saved in /tmp/sphinx-err-a01y480j.log, if you want to report the issue to the developers.

13 1609.3 Please also report this if it was a user error, so that a better error message can be provided next time.

13 1609.3 A bug report can be filed in the tracker at https://github.com/sphinx-doc/sphinx/issues. Thanks!

13 1611.4 make: *** [Makefile:58: html] Error 2

13 1611.6 ERROR conda.cli.main_run:execute(41): conda run /bin/bash -c make html failed. (See above for error)

13 ERROR: executor failed running [conda run --no-capture-output -n xarray-doc /bin/bash -c make html]: exit code: 2


> [10/10] RUN make html:

executor failed running [conda run --no-capture-output -n xarray-doc /bin/bash -c make html]: exit code: 2 ```

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  docs on specifying chunks in to_zarr encoding arg 1221393104
1113712207 https://github.com/pydata/xarray/pull/6542#issuecomment-1113712207 https://api.github.com/repos/pydata/xarray/issues/6542 IC_kwDOAMm_X85CYeZP delgadom 3698640 2022-04-29T20:44:43Z 2022-04-29T20:44:43Z CONTRIBUTOR

hmmm seems I've messed something up in the docs build. apologize for the churn - will fix.

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  docs on specifying chunks in to_zarr encoding arg 1221393104

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