issue_comments
3 rows where issue = 1039037439
This data as json, CSV (advanced)
Suggested facets: user, author_association, created_at (date), updated_at (date)
id ▼ | html_url | issue_url | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
974754412 | https://github.com/simonw/sqlite-utils/pull/333#issuecomment-974754412 | https://api.github.com/repos/simonw/sqlite-utils/issues/333 | IC_kwDOCGYnMM46GZJs | simonw 9599 | 2021-11-21T04:35:32Z | 2021-11-21T04:35:32Z | OWNER | Some other recent projects (like trying to get this library to work in JupyterLite) have made me much more cautious about adding new dependencies, especially dependencies like `pyarrow` which require custom C/Rust extensions. There are a few ways this could work though: - Have this as an optional dependency feature - so it only works if the user installs `pyarrow` as well - Implement this as a separate tool, `parquet-to-sqlite` - which could itself depend on `sqlite-utils` - Add a concept of "plugins" to `sqlite-utils`, similar to how those work in Datasette: https://docs.datasette.io/en/stable/plugins.html My favourite option is `parquet-to-sqlite` because that can be built without any additional changes to `sqlite-utils` at all! I find the concept of plugins for `sqlite-utils` interesting. I've so far not had quite enough potential use-cases to convince me this is worthwhile (especially since it should be very easy to build out separate tools entirely), but I'm ready to be convinced that a plugin mechanism would be worthwhile. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Add functionality to read Parquet files. 1039037439 | |
979345527 | https://github.com/simonw/sqlite-utils/pull/333#issuecomment-979345527 | https://api.github.com/repos/simonw/sqlite-utils/issues/333 | IC_kwDOCGYnMM46X6B3 | Florents-Tselai 2118708 | 2021-11-25T16:31:47Z | 2021-11-25T16:31:47Z | NONE | Thanks for your reply @simonw . Tbh, my first attempt was actually the `parquet-to-sqlite` package but I already had Makefiles that relied on `SQLite-utils` and it was less intrusive to my workflow. Maybe I'll revisit that decision. FYI: there's a `[sqlite-parquet-vtable](https://github.com/cldellow/sqlite-parquet-vtable)` I don't think plugins make much sense either. Probably defeats the purpose of simplicity: simple database along with a pip-able package. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Add functionality to read Parquet files. 1039037439 | |
979442854 | https://github.com/simonw/sqlite-utils/pull/333#issuecomment-979442854 | https://api.github.com/repos/simonw/sqlite-utils/issues/333 | IC_kwDOCGYnMM46YRym | simonw 9599 | 2021-11-25T19:47:26Z | 2021-11-25T19:47:26Z | OWNER | I just remembered that there's one other place that this could fit: as a Datasette "insert" plugin. This is vaporware at the moment, but the idea is that Datasette itself could grow a mechanism for importing data, that's driven by plugins. Out of the box Datasette would be able to import CSV and CSV files, similar to `sqlite-utils insert ... --csv` - but plugins would then be able to add support for additional format such as GeoJSON or - in this case - Parquet. The neat thing about having it as a Datasette plugin is that one plugin would enable three different ways of importing data: 1. Via a new `datasette insert ...` CLI option (similar to `sqlite-utils`) 2. Via a web form upload interface, where authenticated Datasette users would be able to upload files 3. Via an API interface, where files could be programatically submitted to a running Datasette server I started fleshing out this idea quite a while ago but didn't make much concrete progress, maybe I should revisit it: - https://github.com/simonw/datasette/issues/1160 | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Add functionality to read Parquet files. 1039037439 |
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, [issue] INTEGER REFERENCES [issues]([id]) , [performed_via_github_app] TEXT); CREATE INDEX [idx_issue_comments_issue] ON [issue_comments] ([issue]); CREATE INDEX [idx_issue_comments_user] ON [issue_comments] ([user]);