issue_comments

Table actions

3 rows where issue = 591101988 and user = 5635139 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

user 1

  • max-sixty · 3 ✖

issue 1

  • FIX: correct dask array handling in _calc_idxminmax · 3 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
613525837 https://github.com/pydata/xarray/pull/3922#issuecomment-613525837 https://api.github.com/repos/pydata/xarray/issues/3922 MDEyOklzc3VlQ29tbWVudDYxMzUyNTgzNw== max-sixty 5635139 2020-04-14T15:55:10Z 2020-04-14T15:55:10Z MEMBER

Any suggestions on how and where to resolve? We could check for zero dim dask and .load(), but I'm unsure if this is the correct way.

I use dask less, so I'm not the best person here. Any thoughts so we can merge this @pydata/xarray ?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   FIX: correct dask array handling in _calc_idxminmax 591101988
613525484 https://github.com/pydata/xarray/pull/3922#issuecomment-613525484 https://api.github.com/repos/pydata/xarray/issues/3922 MDEyOklzc3VlQ29tbWVudDYxMzUyNTQ4NA== max-sixty 5635139 2020-04-14T15:54:33Z 2020-04-14T15:54:33Z MEMBER

@kmuehlbauer re the delay: apologies for the reviews being dropped: it's not our intention to leave this hanging and we appreciate your contributions. I was off for a few days. We'll endeavor to have more timely reviews.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   FIX: correct dask array handling in _calc_idxminmax 591101988
608096565 https://github.com/pydata/xarray/pull/3922#issuecomment-608096565 https://api.github.com/repos/pydata/xarray/issues/3922 MDEyOklzc3VlQ29tbWVudDYwODA5NjU2NQ== max-sixty 5635139 2020-04-02T21:21:54Z 2020-04-02T21:21:54Z MEMBER

@kmuehlbauer what's the code that's running to generate that traceback? I can try and help in lieu of @dcherian

Thanks for giving this a go

And CC @toddrjen if they have any insight

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   FIX: correct dask array handling in _calc_idxminmax 591101988

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

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]);