How to ensure a safe file sync with sqlite and NFS

I have recently converted my workspace file format for my application to sqlite. In order to ensure robust operation on NFS I've used a common update policy, I do all modifications to a copy stored in a temp location on the local harddisk. Only when saving do I modify the original file (potentially on NFS) by copying over the original file with the temp file. I only open the orginal file to keep an exclusive lock on it so it someone else tries to open they will be warned that someone else is using it.

The problem is this: When I go to save my temp fil开发者_高级运维e back over the original file I must release the lock on the orginal file, this provides a window for someone else to get in and take the original, albeit a small window.

I can think of a few ways around this:

(1) being to simply dump the contents of the temp in to the orginal by using sql, i.e. drop tables on original, vacumm original, select from temp and insert into orginal. I don't like doing sql operations on a sqlite file stored on NFS though. This scares me with corruptions issues. Am I right to think like this?

(2) Use various extra files to act as a guard to prevent other from coming in while copying the temp over the original. Using files as a mutex is problematic at best. I also don't like the idea of having extra files hanging around if the application crashes.

I'm wondering if anyone has any different solutions for this. Again to copy the temp file over the original file while ensuring other application don't sneak in and grab the original file while doing so?

I'm using python2.5, sqlalchemy 0.6.6 and sqlite 3.6.20

Thanks, Dean

---

SQLite NFS issues are due to broken caching and locking. If your process is the only one accessing the file on NFS then you'll be ok.

The SQLite backup API was designed to solve exactly your problem. You can either backup directly to the NFS database or to another local temp file and then copy that. The backup API deals with all the locking and concurrency issues.

You can use APSW to get access to the backup API or the most recent version of pysqlite. (Disclosure: I am the APSW author.)