issue_comments: 623044643
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/dogsheep/github-to-sqlite/issues/38#issuecomment-623044643 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/38 | 623044643 | MDEyOklzc3VlQ29tbWVudDYyMzA0NDY0Mw== | 5779832 | 2020-05-03T02:34:32Z | 2020-05-03T02:34:32Z | NONE | 1. More than glad to share feedback from the sidelines as a [starrer](https://github-to-sqlite.dogsheep.net/github?sql=select%0D%0A++starred_at%2C%0D%0A++starred_by%2C%0D%0A++full_name+as+repo_name%0D%0Afrom%0D%0A++repos_starred%0D%0Awhere%0D%0A++starred_by+%3D+%22zzeleznick%22%0D%0Aorder+by%0D%0A++starred_at+desc). ``` -- Motivation: -- Datasette is a data hammer and I'm looking for nails -- e.g. Find which repos a user has starred => trigger a TBD downstream action select starred_at, starred_by, full_name as repo_name from repos_starred where starred_by = "zzeleznick" order by starred_at desc ``` | starred_at | starred_by | repo_name | | --- | --- | --- | | 2020-02-11T01:08:59Z | zzeleznick | dogsheep/twitter-to-sqlite | | 2020-01-11T21:57:34Z | zzeleznick | simonw/datasette | 2. In my day job, I use [airflow](https://github.com/apache/airflow), and that's the mental model I'm bringing to [datasette](https://github.com/simonw/datasette). 3. I see your project like [twitter-to-sqlite](https://github.com/dogsheep/twitter-to-sqlite) akin to [Operators](https://airflow.apache.org/docs/stable/_api/index.html#pythonapi-operators) in Airflow world. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 611284481 |