issue_comments

Table actions

1 row where issue = 509285415 and user = 13770365 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

  • ngreenwald · 1 ✖

issue 1

  • Cannot write array larger than 4GB with SciPy netCDF backend · 1 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
544183597 https://github.com/pydata/xarray/issues/3416#issuecomment-544183597 https://api.github.com/repos/pydata/xarray/issues/3416 MDEyOklzc3VlQ29tbWVudDU0NDE4MzU5Nw== ngreenwald 13770365 2019-10-19T18:19:08Z 2019-10-19T18:19:33Z NONE

Yes, you're right @max-sixty, seems like the actual IO is happening within scipy. Do you have any suggestions for how I might troubleshoot this further? Could I make a similar example that uses only the scipy netcdf functionality somehow to drill down into where the memory error is coming from?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Cannot write array larger than 4GB with SciPy netCDF backend 509285415

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]);