issue_comments

Table actions

5 rows where issue = 373121666 and user = 221526 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

user 1

  • dopplershift · 5 ✖

issue 1

  • Problems with distributed and opendap netCDF endpoint · 5 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
432747410 https://github.com/pydata/xarray/issues/2503#issuecomment-432747410 https://api.github.com/repos/pydata/xarray/issues/2503 MDEyOklzc3VlQ29tbWVudDQzMjc0NzQxMA== dopplershift 221526 2018-10-24T17:13:14Z 2018-10-24T17:13:14Z CONTRIBUTOR

Oh, I didn't even catch that the original was on defaults.

 
{
    "total_count": 1,
    "+1": 0,
    "-1": 0,
    "laugh": 1,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Problems with distributed and opendap netCDF endpoint 373121666
432744441 https://github.com/pydata/xarray/issues/2503#issuecomment-432744441 https://api.github.com/repos/pydata/xarray/issues/2503 MDEyOklzc3VlQ29tbWVudDQzMjc0NDQ0MQ== dopplershift 221526 2018-10-24T17:06:01Z 2018-10-24T17:06:01Z CONTRIBUTOR

That version has the fix for the issue.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Problems with distributed and opendap netCDF endpoint 373121666
432739449 https://github.com/pydata/xarray/issues/2503#issuecomment-432739449 https://api.github.com/repos/pydata/xarray/issues/2503 MDEyOklzc3VlQ29tbWVudDQzMjczOTQ0OQ== dopplershift 221526 2018-10-24T16:54:05Z 2018-10-24T16:54:05Z CONTRIBUTOR

The original version of libnetcdf in @rabernat 's environment definitely had the opendap timeout issue. Not sure if that's the root cause of the problem, or not, but it's suspect.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Problems with distributed and opendap netCDF endpoint 373121666
432422763 https://github.com/pydata/xarray/issues/2503#issuecomment-432422763 https://api.github.com/repos/pydata/xarray/issues/2503 MDEyOklzc3VlQ29tbWVudDQzMjQyMjc2Mw== dopplershift 221526 2018-10-23T21:16:05Z 2018-10-23T21:16:16Z CONTRIBUTOR

@lesserwhirls That's an interesting idea. (@rsignell-usgs That's the one.)

@rabernat What version of the conda-forge libnetcdf package is deployed wherever you're running?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Problems with distributed and opendap netCDF endpoint 373121666
432370887 https://github.com/pydata/xarray/issues/2503#issuecomment-432370887 https://api.github.com/repos/pydata/xarray/issues/2503 MDEyOklzc3VlQ29tbWVudDQzMjM3MDg4Nw== dopplershift 221526 2018-10-23T18:43:23Z 2018-10-23T18:43:23Z CONTRIBUTOR

Just so I'm clear on how the workflow looks: 1. Open dataset with NetCDF/OPeNDAP 2. Serialize NetCDFDataStore (pickle? netcdf file?) 3. Ship to Dask workers 4. Reconstitute NetCDFDataStore

Certainly does seem like there's something stale in what the remote workers are getting. Confused why it works for the others, though.

I can prioritize this a bit and dig in to see what I can figure out--though I'm teaching through tomorrow. May be able to dig into this while at ECMWF.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Problems with distributed and opendap netCDF endpoint 373121666

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]);