issue_comments
1 row where issue = 1196270877 and user = 3487237 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- In a specific case, `decode_cf` adds encoding dtype that breaks `to_netcdf` · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1095088391 | https://github.com/pydata/xarray/issues/6453#issuecomment-1095088391 | https://api.github.com/repos/pydata/xarray/issues/6453 | IC_kwDOAMm_X85BRbkH | kthyng 3487237 | 2022-04-11T13:58:48Z | 2022-04-11T13:58:48Z | NONE | @spencerkclark Interesting! Good I am glad it is fixed with the dev version. Great if this work up can be used for a test. Mostly, I wanted to also get this documented since it took forever to track down the issue — maybe it will save someone else some time when they are googling. |
{
"total_count": 1,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 1,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
In a specific case, `decode_cf` adds encoding dtype that breaks `to_netcdf` 1196270877 |
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