issue_comments

Table actions

where author_association = "MEMBER", issue = 243927150 and user = 1217238 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

These facets timed out: author_association, issue

user 1

  • shoyer · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
317050127 https://github.com/pydata/xarray/issues/1481#issuecomment-317050127 https://api.github.com/repos/pydata/xarray/issues/1481 MDEyOklzc3VlQ29tbWVudDMxNzA1MDEyNw== shoyer 1217238 2017-07-21T16:40:19Z 2017-07-21T16:40:19Z MEMBER

Our formatting logic pulls out the first few values of arrays to print them in the repr. It appears that this is failing spectacularly in this case, though I'm not sure why.

Can you share a quick preview of what a single one of your constituent netCDF files looks like?

More broadly: maybe we should disable automatically printing a preview of the contents of xarray.Dataset objects when they have lazily loaded data in the form of dask arrays. This is convenient for interactive use in many cases (when it can be done cheaply!) but fails in many edge cases.

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Excessive memory usage when printing multi-file Dataset 243927150

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]);