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- stevecrawshaw · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
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1356842576 | https://github.com/simonw/datasette/issues/1886#issuecomment-1356842576 | https://api.github.com/repos/simonw/datasette/issues/1886 | IC_kwDOBm6k_c5Q38ZQ | stevecrawshaw 18738650 | 2022-12-18T17:34:20Z | 2022-12-18T17:34:20Z | NONE | A bit late to this, but I have made an app to publish air quality data in Bristol, UK. air quality data in Bristol, UK. Next step to see if I can make a streamlit app based on this to produce some nice charts. |
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Call for birthday presents: if you're using Datasette, let us know how you're using it here 1447050738 | |
1312534826 | https://github.com/simonw/datasette/issues/1878#issuecomment-1312534826 | https://api.github.com/repos/simonw/datasette/issues/1878 | IC_kwDOBm6k_c5OO7Eq | stevecrawshaw 18738650 | 2022-11-12T17:34:58Z | 2022-11-12T17:34:58Z | NONE | Hi Simon. I have just started experimenting with datasette in earnest, looking at it's suitability for air quality open data. A bulk upsert \ upsert_all would be very useful for me in enabling real time data to be pushed from a sql server database with FME server to a datasette db. An hourly process queries the last 2 hours of data and pushes that to my database, inserting new data and updating existing combinations of pk siteid and date_time. This is already implemented on our current open data portal. Excited to see your progress with this! Thank you for this amazing software. |
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/db/table/-/upsert API 1432013704 |
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issue 2