html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/4648#issuecomment-964099251,https://api.github.com/repos/pydata/xarray/issues/4648,964099251,IC_kwDOAMm_X845dvyz,1312546,2021-11-09T12:17:32Z,2021-11-09T12:17:32Z,MEMBER,"""In charge of"" is overstating it a bit. It's been segfaulting when building pandas and I haven't had a chance to debug it.

If / when I get around to fixing it I'll try adding xarray, but it might be a bit.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,756425955
https://github.com/pydata/xarray/issues/4648#issuecomment-963563959,https://api.github.com/repos/pydata/xarray/issues/4648,963563959,IC_kwDOAMm_X845btG3,2448579,2021-11-08T20:54:19Z,2021-11-08T20:54:19Z,MEMBER,"@TomAugspurger are you still in charge of the pydata benchmarking machine? If so, could you add xarray to the list please (https://pandas.pydata.org/speed/)? @Illviljan has made major improvements so it should be a lot faster now","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,756425955
https://github.com/pydata/xarray/issues/4648#issuecomment-901370189,https://api.github.com/repos/pydata/xarray/issues/4648,901370189,IC_kwDOAMm_X841udFN,2448579,2021-08-18T19:24:15Z,2021-08-18T19:26:31Z,MEMBER,"Looks like Quansight thinks that GH actions is a good place to benchmark scikit-learn: https://labs.quansight.org/blog/2021/08/github-actions-benchmarks/ so may be we can set that up for our existing benchmarks.

Here's the workflow: https://github.com/jaimergp/scikit-image/blob/main/.github/workflows/benchmarks-cron.yml","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,756425955
https://github.com/pydata/xarray/issues/4648#issuecomment-752731737,https://api.github.com/repos/pydata/xarray/issues/4648,752731737,MDEyOklzc3VlQ29tbWVudDc1MjczMTczNw==,5635139,2020-12-30T19:25:44Z,2020-12-30T19:25:44Z,MEMBER,"This would be great. 

Down a couple of levels — I think potentially we could run this as a cron job on GitHub Actions. NCAR would also be a good plan. I'm also happy to supply a VM if that's helpful.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,756425955
https://github.com/pydata/xarray/issues/4648#issuecomment-738969196,https://api.github.com/repos/pydata/xarray/issues/4648,738969196,MDEyOklzc3VlQ29tbWVudDczODk2OTE5Ng==,2448579,2020-12-04T19:19:55Z,2020-12-04T19:22:04Z,MEMBER,"Thanks @scottyhq 

> One other thing that often gets neglected in test suites is operating on remote data. 

This is lining up with the ""pangeo integration tests"" that came up in a Pangeo meeting (cc @rabernat). 

Regardless whether it fits, I think adding benchmarks+tests for the xarray+zarr+fsspec (or xarray+mfdataset+netCDF) is an important and unmet need of the Pangeo community in general that we could address.
","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,756425955
https://github.com/pydata/xarray/issues/4648#issuecomment-738190759,https://api.github.com/repos/pydata/xarray/issues/4648,738190759,MDEyOklzc3VlQ29tbWVudDczODE5MDc1OQ==,3924836,2020-12-03T18:17:13Z,2020-12-03T18:17:13Z,MEMBER,"thanks for the ping @dcherian, i really like the idea! One other thing that often gets neglected in test suites is operating on remote data. I understand the need to avoid long-running tests and tests prone to network failures for PRs, but running these sorts of examples as a cron job could be very helpful for benchmarking and detecting issues. 

In intake-xarray we recently added tests against a local HTTP server and ""S3"" server:
https://github.com/intake/intake-xarray/blob/master/intake_xarray/tests/test_remote.py 

Also added several simple tests requiring a network connection to public data (no auth required) that we run locally but not in CI currently:
https://github.com/intake/intake-xarray/blob/master/intake_xarray/tests/test_network.py ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,756425955