issue_comments: 424470752
This data as json
| 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/2227#issuecomment-424470752 | https://api.github.com/repos/pydata/xarray/issues/2227 | 424470752 | MDEyOklzc3VlQ29tbWVudDQyNDQ3MDc1Mg== | 291576 | 2018-09-25T19:27:28Z | 2018-09-25T19:27:28Z | CONTRIBUTOR | I am looking into a similar performance issue with isel, but it seems that the issue is that it is creating arrays that are much bigger than needed. For my multidimensional case (time/x/y/window), what should end up only taking a few hundred MB is spiking up to 10's of GB of used RAM. Don't know if this might be a possible source of performance issues. |
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