github
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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| https://github.com/simonw/datasette/issues/1655#issuecomment-1767248394 | https://api.github.com/repos/simonw/datasette/issues/1655 | 1767248394 | IC_kwDOBm6k_c5pVhIK | 6262071 | 2023-10-17T21:53:17Z | 2023-10-17T21:53:17Z | NONE | @fgregg, I am happy to do that and just could not find a way to create issues at your fork repo. | {
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| https://github.com/simonw/datasette/issues/1655#issuecomment-1767219901 | https://api.github.com/repos/simonw/datasette/issues/1655 | 1767219901 | IC_kwDOBm6k_c5pVaK9 | 536941 | 2023-10-17T21:29:03Z | 2023-10-17T21:29:03Z | CONTRIBUTOR | @yejiyang why don’t you move this discussion to my fork to spare simon’s notifications | {
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| https://github.com/simonw/datasette/issues/1655#issuecomment-1767133832 | https://api.github.com/repos/simonw/datasette/issues/1655 | 1767133832 | IC_kwDOBm6k_c5pVFKI | 6262071 | 2023-10-17T20:37:18Z | 2023-10-17T21:12:48Z | NONE | @fgregg Thanks for your reply. I tried to use your fork branch `datasette = {url = "https://github.com/fgregg/datasette/archive/refs/heads/no_limit_csv_publish.zip"}` and got error - TypeError: 'str' object is not callable. I used the same templates as in your branch [here ](https://github.com/labordata/warehouse/tree/main/templates). ``` INFO: 127.0.0.1:47232 - "GET /-/static/sql-formatter-2.3.3.min.js HTTP/1.1" 200 OK Traceback (most recent call last): File "/home/jiyang/github/global-chemical-inventory-database/.venv/lib/python3.10/site-packages/datasette/app.py", line 1632, in route_path response = await view(request, send) File "/home/jiyang/github/global-chemical-inventory-database/.venv/lib/python3.10/site-packages/datasette/app.py", line 1814, in async_view_fn response = await async_call_with_supported_arguments( File "/home/jiyang/github/global-chemical-inventory-database/.venv/lib/python3.10/site-packages/datasette/utils/__init__.py", line 1016, in async_call_with_supported_arguments return await fn(*call_with) File "/home/jiyang/github/global-chemical-inventory-database/.venv/lib/python3.10/site-packages/datasette/views/table.py", line 673, in table_view response = await table_view_traced(datasette, request) File "/home/jiyang/github/global-chemical-inventory-database/.venv/lib/python3.10/site-packages/datasette/views/table.py", line 822, in table_view_traced await datasette.render_template( File "/home/jiyang/github/global-chemical-inventory-database/.venv/lib/python3.10/site-packages/datasette/app.py", line 1307, in render_template return await template.render_async(template_context) File "/home/jiyang/github/global-chemical-inventory-database/.venv/lib/python3.10/site-packages/jinja2/environment.py", line 1324, in render_async return self.environment.handle_exception() File "/home/jiyang/github/global-chemical-inventory-database/.venv/lib/python3.10/site-packages/jinja2/environment.py", line 936, in handle_exception raise rewri… | {
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| https://github.com/simonw/datasette/issues/1655#issuecomment-1766994810 | https://api.github.com/repos/simonw/datasette/issues/1655 | 1766994810 | IC_kwDOBm6k_c5pUjN6 | 536941 | 2023-10-17T19:01:59Z | 2023-10-17T19:01:59Z | CONTRIBUTOR | hi @yejiyang, have your tried using my fork of datasette: https://github.com/fgregg/datasette/tree/no_limit_csv_publish | {
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| https://github.com/simonw/datasette/issues/1655#issuecomment-1761630595 | https://api.github.com/repos/simonw/datasette/issues/1655 | 1761630595 | IC_kwDOBm6k_c5pAFmD | 6262071 | 2023-10-13T14:37:48Z | 2023-10-13T14:37:48Z | NONE | Hi @fgregg, I came across this issue and found your setup at labordata.bunkum.us can help me with a research project at https://database.zeropm.eu/. I really like the approach [here](https://labordata.bunkum.us/f7-06c761c?sql=select+*+from+f7) when dealing with a custom SQL query returning more than 1000 rows: 1) At the table in HTML page, only first 1000 rows displayed; 2) When click the "Download this data as a CSV Spreadsheet(All Rows)" button, a csv with ALL ROWS (could be > 100 Mb) get downloaded. I am trying to repeat the setup but have yet to be successful so far. What I tried: 1) copy the query.html & table.html templates from this [github repo](https://github.com/labordata/warehouse/tree/main/templates) and use it my project 2) use the same datasette version 1.0a2. Do you know what else I should try to set it correctly? I appreciate your help. @simonw I would like to use this opportunity to thank you for developing & maintaining such an amazing project. I introduce your datasette to several projects in my institute. I am also interested in your cloud version. | {
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| https://github.com/simonw/datasette/issues/1655#issuecomment-1258166572 | https://api.github.com/repos/simonw/datasette/issues/1655 | 1258166572 | IC_kwDOBm6k_c5K_hks | 536941 | 2022-09-26T14:57:04Z | 2022-09-26T14:57:04Z | CONTRIBUTOR | I think that paginating, even in javascript, could be very helpful. Maybe render json or csv into the page and let javascript loading that into the dom? | {
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| https://github.com/simonw/datasette/issues/1655#issuecomment-1062450649 | https://api.github.com/repos/simonw/datasette/issues/1655 | 1062450649 | IC_kwDOBm6k_c4_U7XZ | 536941 | 2022-03-09T01:10:46Z | 2022-03-09T01:10:46Z | CONTRIBUTOR | i increased the max_returned_row, because I have some scripts that get CSVs from this site, and this makes doing pagination of CSVs less annoying for many cases. i know that's streaming csvs is something you are hoping to address in 1.0. let me know if there's anything i can do to help with that. as for what if anything can be done about the size of the dom, I don't have any ideas right now, but i'll poke around. | {
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| https://github.com/simonw/datasette/issues/1655#issuecomment-1062445113 | https://api.github.com/repos/simonw/datasette/issues/1655 | 1062445113 | IC_kwDOBm6k_c4_U6A5 | 9599 | 2022-03-09T01:01:24Z | 2022-03-09T01:01:24Z | OWNER | https://labordata.bunkum.us/-/settings shows `max_returned_rows` had been increased to 5,000 for that instance - the default of 1,000 would help a bit here. Any thoughts on how Datasette could handle this kind of thing better? | {
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