issue_comments
2 rows where author_association = "CONTRIBUTOR" and issue = 1423948375 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Insertion speed of new dataset elements · 2 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1296006560 | https://github.com/pydata/xarray/issues/7224#issuecomment-1296006560 | https://api.github.com/repos/pydata/xarray/issues/7224 | IC_kwDOAMm_X85NP32g | hmaarrfk 90008 | 2022-10-29T22:39:39Z | 2022-10-29T22:39:39Z | CONTRIBUTOR | {
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Insertion speed of new dataset elements 1423948375 | ||
| 1296006402 | https://github.com/pydata/xarray/issues/7224#issuecomment-1296006402 | https://api.github.com/repos/pydata/xarray/issues/7224 | IC_kwDOAMm_X85NP30C | hmaarrfk 90008 | 2022-10-29T22:39:01Z | 2022-10-29T22:39:01Z | CONTRIBUTOR | Ok, I don't think I have the right tools to really get to the bottom of this. The spyder profiler just seems to slowdown code too much. Any other tools to recommend? |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Insertion speed of new dataset elements 1423948375 |
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