issue_comments

Table actions

2 rows where issue = 218013400 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

user 2

author_association 2

issue 1

  • Chunking and dask memory errors · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
290237717 https://github.com/pydata/xarray/issues/1338#issuecomment-290237717 https://api.github.com/repos/pydata/xarray/issues/1338 MDEyOklzc3VlQ29tbWVudDI5MDIzNzcxNw== pwolfram 4295853 2017-03-29T21:52:16Z 2017-03-29T21:52:16Z CONTRIBUTOR

Thanks @shoyer. This is what I was thinking but I just wanted to double check. Feel free to close the issue if you would like- I'll move this to dask issues.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Chunking and dask memory errors 218013400
290235797 https://github.com/pydata/xarray/issues/1338#issuecomment-290235797 https://api.github.com/repos/pydata/xarray/issues/1338 MDEyOklzc3VlQ29tbWVudDI5MDIzNTc5Nw== shoyer 1217238 2017-03-29T21:44:46Z 2017-03-29T21:44:46Z MEMBER

Currently it's the user's responsibility to choose appropriate chunk sizes for their workflow and available memory. Dask doesn't provide any functionality to help with this, though perhaps it could. You might raise an issue on the Dask issue tracker.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Chunking and dask memory errors 218013400

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]);