issue_comments
2 rows where issue = 990194656 and user = 14371165 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Create benchmark for groupby · 2 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 914520961 | https://github.com/pydata/xarray/pull/5772#issuecomment-914520961 | https://api.github.com/repos/pydata/xarray/issues/5772 | IC_kwDOAMm_X842gnuB | Illviljan 14371165 | 2021-09-07T18:17:54Z | 2021-09-07T18:17:54Z | MEMBER | I agree we should have more array sizes. I was thinking grouping small, medium, large, 1d, 2d, Nd arrays. But that's for a future PR, I lost interest when I couldn't see the results. It froze during the tests, for example I explicitly tested repr.py because I thought it would be an easy one. PC still froze. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Create benchmark for groupby 990194656 | |
| 914491014 | https://github.com/pydata/xarray/pull/5772#issuecomment-914491014 | https://api.github.com/repos/pydata/xarray/issues/5772 | IC_kwDOAMm_X842ggaG | Illviljan 14371165 | 2021-09-07T17:30:05Z | 2021-09-07T17:48:30Z | MEMBER | Someone who understands asv is free to try it out. Every time I managed to get asv running my entire pc froze and I had to force restart it. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Create benchmark for groupby 990194656 |
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