issue_comments
5 rows where author_association = "NONE", issue = 253476466 and user = 905179 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Better compression algorithms for NetCDF · 5 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
365479970 | https://github.com/pydata/xarray/issues/1536#issuecomment-365479970 | https://api.github.com/repos/pydata/xarray/issues/1536 | MDEyOklzc3VlQ29tbWVudDM2NTQ3OTk3MA== | DennisHeimbigner 905179 | 2018-02-14T02:55:22Z | 2018-02-14T02:55:22Z | NONE | The methods that need to be implemented are (in the C API) as follows:
|
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Better compression algorithms for NetCDF 253476466 | |
365476120 | https://github.com/pydata/xarray/issues/1536#issuecomment-365476120 | https://api.github.com/repos/pydata/xarray/issues/1536 | MDEyOklzc3VlQ29tbWVudDM2NTQ3NjEyMA== | DennisHeimbigner 905179 | 2018-02-14T02:30:05Z | 2018-02-14T02:30:05Z | NONE | The API is not yet exposed thru anything but the C api. So the python, fortran, and c++ wrappers do not yet show it. Passing it thru netcdf-python is probably pretty trivian, though. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Better compression algorithms for NetCDF 253476466 | |
365475898 | https://github.com/pydata/xarray/issues/1536#issuecomment-365475898 | https://api.github.com/repos/pydata/xarray/issues/1536 | MDEyOklzc3VlQ29tbWVudDM2NTQ3NTg5OA== | DennisHeimbigner 905179 | 2018-02-14T02:28:42Z | 2018-02-14T02:28:42Z | NONE | A bit confusing, but I think the answer is yes. For example we provide a bzip2 compression plugin as an example (see examples/C/hdf5plugins in the netcdf-c distribution). |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Better compression algorithms for NetCDF 253476466 | |
365419155 | https://github.com/pydata/xarray/issues/1536#issuecomment-365419155 | https://api.github.com/repos/pydata/xarray/issues/1536 | MDEyOklzc3VlQ29tbWVudDM2NTQxOTE1NQ== | DennisHeimbigner 905179 | 2018-02-13T21:59:35Z | 2018-02-13T21:59:35Z | NONE | You may already know, but should note that the filter stuff in netcdf-c is now available in netcdf-c library version 4.6.0. So any filter plugin usable with hdf5 can now be used both for reading and writing thru the netcdf-c api. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Better compression algorithms for NetCDF 253476466 | |
325775498 | https://github.com/pydata/xarray/issues/1536#issuecomment-325775498 | https://api.github.com/repos/pydata/xarray/issues/1536 | MDEyOklzc3VlQ29tbWVudDMyNTc3NTQ5OA== | DennisHeimbigner 905179 | 2017-08-29T19:35:55Z | 2017-08-29T19:35:55Z | NONE | The github branch filters.dmh for the netcdf-c library now exposes the HDF5 dynamic filter capability. This is documented here: https://github.com/Unidata/netcdf-c/blob/filters.dmh/docs/filters.md I welcome suggestions for improvements. I also note that I am extending this branch to now handle szip compression. It turns out there is now a patent-free implementation called libaec (HT Rich Signell) so there is no reason not to make it available. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Better compression algorithms for NetCDF 253476466 |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);
user 1