issue_comments
4 rows where issue = 429511994 and user = 14314623 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Very slow coordinate assignment with dask array · 4 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 567583795 | https://github.com/pydata/xarray/issues/2867#issuecomment-567583795 | https://api.github.com/repos/pydata/xarray/issues/2867 | MDEyOklzc3VlQ29tbWVudDU2NzU4Mzc5NQ== | jbusecke 14314623 | 2019-12-19T17:24:27Z | 2019-12-19T17:24:27Z | CONTRIBUTOR | I can confirm that this issue is resolved for my project. Seems to not make a difference in speed anymore whether I assign the dataarray as coordinate or data variable. Thanks for the fix! |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Very slow coordinate assignment with dask array 429511994 | |
| 566689340 | https://github.com/pydata/xarray/issues/2867#issuecomment-566689340 | https://api.github.com/repos/pydata/xarray/issues/2867 | MDEyOklzc3VlQ29tbWVudDU2NjY4OTM0MA== | jbusecke 14314623 | 2019-12-17T18:28:32Z | 2019-12-17T18:28:32Z | CONTRIBUTOR | I think this issue was actually a dupe. I remember you pointing me to changes in 14.x, that improved the performance, but I cant find the other issue right now. I will have an opportunity to test this in the coming days on some huge GFDL data |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Very slow coordinate assignment with dask array 429511994 | |
| 566636980 | https://github.com/pydata/xarray/issues/2867#issuecomment-566636980 | https://api.github.com/repos/pydata/xarray/issues/2867 | MDEyOklzc3VlQ29tbWVudDU2NjYzNjk4MA== | jbusecke 14314623 | 2019-12-17T16:21:23Z | 2019-12-17T16:21:23Z | CONTRIBUTOR | I believe this was fixed in a recent version. Closing |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Very slow coordinate assignment with dask array 429511994 | |
| 481417930 | https://github.com/pydata/xarray/issues/2867#issuecomment-481417930 | https://api.github.com/repos/pydata/xarray/issues/2867 | MDEyOklzc3VlQ29tbWVudDQ4MTQxNzkzMA== | jbusecke 14314623 | 2019-04-09T20:16:18Z | 2019-04-09T20:16:18Z | CONTRIBUTOR | Could you think of a way I would be able to diagnose this further? Sorry for these wide questions but I am not very familiar with these xarray internals. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Very slow coordinate assignment with dask array 429511994 |
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