OperationalError: database is locked

From django doc:

SQLite is meant to be a lightweight database, and thus can't support a high level of concurrency. OperationalError: database is locked errors indicate that your application is experiencing more concurrency than sqlite can handle in default configuration. This error means that one thread or process has an exclusive lock on the database connection and another thread timed out waiting for the lock the be released.

Python's SQLite wrapper has a default timeout value that determines how long the second thread is allowed to wait on the lock before it times out and raises the OperationalError: database is locked error.

If you're getting this error, you can solve it by:

• Switching to another database backend. At a certain point SQLite becomes too "lite" for real-world applications, and these sorts of concurrency errors indicate you've reached that point.
• Rewriting your code to reduce concurrency and ensure that database transactions are short-lived.
• Increase the default timeout value by setting the timeout database option

http://docs.djangoproject.com/en/dev/ref/databases/#database-is-locked-errorsoption

I slightly disagree with the accepted answer which, by quoting this doc, implicitly links OP's problem (Database is locked) to this:

Switching to another database backend. At a certain point SQLite becomes too "lite" for real-world applications, and these sorts of concurrency errors indicate you've reached that point.

This is a bit "too easy" to incriminate SQlite for this problem (which is very powerful when correctly used; it's not only a toy for small databases, fun fact: An SQLite database is limited in size to 140 terabytes ).

Unless you have a very busy server with thousands of connections at the same second, the reason for this Database is locked error is probably more a bad use of the API, than a problem inherent to SQlite which would be "too light". Here are more informations about Implementation Limits for SQLite.

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Now the solution:

I had the same problem when I was using two scripts using the same database at the same time:

• one was accessing the DB with write operations
• the other was accessing the DB in read-only

Solution: always do cursor.close() as soon as possible after having done a (even read-only) query.

Here are more details.

In my case, It was because I open the database from SQLite Browser. When I close it from the browser, the problem is gone.