issue_comments

Table actions

1 row where author_association = "MEMBER", issue = 606683601 and user = 2443309 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

  • jhamman · 1 ✖

issue 1

  • xarray.open_mzar: open multiple zarr files (in parallel) · 1 ✖

author_association 1

  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
620169860 https://github.com/pydata/xarray/pull/4003#issuecomment-620169860 https://api.github.com/repos/pydata/xarray/issues/4003 MDEyOklzc3VlQ29tbWVudDYyMDE2OTg2MA== jhamman 2443309 2020-04-27T18:56:10Z 2020-04-27T18:56:10Z MEMBER

+1 on deprecating open_zarr and moving to `open_dataset(..., engine='zarr')

I also agree that globing zarr stores is a tricky nut to crack. For the sake of simplicity, I'd like to suggest handling this functionaly as separate PRs. Given the heterogeneity in zarr storage options, I'm not sure its practical to support this behavior within Xarray but I'd be happy to discuss that in a separate issue.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   xarray.open_mzar: open multiple zarr files (in parallel) 606683601

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]);