issue_comments
2 rows where author_association = "MEMBER", issue = 277538485 and user = 6213168 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- open_mfdataset() memory error in v0.10 · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
347856861 | https://github.com/pydata/xarray/issues/1745#issuecomment-347856861 | https://api.github.com/repos/pydata/xarray/issues/1745 | MDEyOklzc3VlQ29tbWVudDM0Nzg1Njg2MQ== | crusaderky 6213168 | 2017-11-29T13:15:29Z | 2017-11-29T13:15:29Z | MEMBER | Only if the coords are tridimensional.. |
{ "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
open_mfdataset() memory error in v0.10 277538485 | |
347815737 | https://github.com/pydata/xarray/issues/1745#issuecomment-347815737 | https://api.github.com/repos/pydata/xarray/issues/1745 | MDEyOklzc3VlQ29tbWVudDM0NzgxNTczNw== | crusaderky 6213168 | 2017-11-29T10:19:52Z | 2017-11-29T10:33:15Z | MEMBER | It sounds weird. Even if all the 20 variables he's dropping were coords on the longest dim, and the code was loading them up into memory and then dropping them (that would be wrong - but I didn't check the code yet to verify if that's the case), then we're talking about... @njweber2 how large are these files? Is it feasible to upload them somewhere? If not, could you write a script that generates equivalent dummy data and reproduce the problem with that? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
open_mfdataset() memory error in v0.10 277538485 |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issue_comments] ( [html_url] TEXT, [issue_url] TEXT, [id] INTEGER PRIMARY KEY, [node_id] TEXT, [user] INTEGER REFERENCES [users]([id]), [created_at] TEXT, [updated_at] TEXT, [author_association] TEXT, [body] TEXT, [reactions] TEXT, [performed_via_github_app] TEXT, [issue] INTEGER REFERENCES [issues]([id]) ); CREATE INDEX [idx_issue_comments_issue] ON [issue_comments] ([issue]); CREATE INDEX [idx_issue_comments_user] ON [issue_comments] ([user]);
user 1