I have several crud apps running sql. With moderate write load and a good concurrency write error handling code it works very well. Good when the product size is not worth a postgres full blown setup.
I backup this. I've been using SQLite for some low to moderate load CRUD apps, and this always worked like a charm. SQLite also make backuping, testing and moving apps so much easier.
How do you workaround the fact that SQLite only supports a single writer? For example, your app could be blocked when you run a long operation like creating an index.
For moderate load: just catch the exception and try again. It will rarely happen, and when it does, you can easily recover from it since your site is not hammered.
For bigger load, have a worker that does the writes with a queue.
You create an index, and the index creation takes 30 seconds. Then instead of writing directly to SQLite (which won't work since the index creation blocks other writers) you suggest to store the write in a queue (for example another SQLite database for durability), and have a worker apply the write to the main database when the index creation is done?
Unless you want to scale. I'm all for the rule of least power, but as soon as the app is exposed to multiple users I would ask and be sure about the expected number of simultaneous users before going with SQlite instead of going with a Client/Server RDBMS. Still, the bound is pretty high if you keep your transactions short.
If you have the correct architecture, multiple users shouldn't matter at all-- I have used SQLite to store and query activity data with something like 10k concurrent "users" without difficulty on a single machine.
I am beginning to suspect that MySQL, PostgreSQL, DB2, Oracle, BigTable, and others allow one to get so far with the wrong architecture, that maybe some even very experienced programmers believe that to go faster they have no choice but more threads.
How do you workaround the fact that SQLite only supports a single writer? For example, your app could be blocked when you run a long operation like creating an index.