sql_time_limit_ms for deployment to Google Cloud Run #1436
Unanswered
adelaide01
asked this question in
Q&A
Replies: 1 comment
-
|
My solution was to change the default sql_time_limit_ms in the app.py file. You can look at the settings in the app.py file here: On the Mac OSX, app.py is located in this directory: I re-deployed to Google Cloud Run and everything is working well. Thanks for Datasette! I am excited about the possibilities. |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
-
Hi Simon and everyone,
I was able to deploy to Google Cloud Run, but I need to increase the default sql_time_limit_ms to 11000. I have a database with 3.6 million rows and that is how long it took to return a large query on my computer (before I deployed).
https://docs.datasette.io/en/stable/settings.html?highlight=time%20limit#sql-time-limit-ms
Is there a way to change the default sql_time_limit_ms in the Python source files? I searched under sql_time_limit_ms https://github.com/simonw/datasette/search?q=sql_time_limit_ms but it is not clear which Python file to change.
Thank you in advance!
Beta Was this translation helpful? Give feedback.
All reactions