I have been porting a C# application which uses an MDB database (the old Access/JET format) to one that uses SQLite. The process has been relatively smooth, but I encountered a few oddities.

One is puzzling and is described by another user here. If you have a column that normally stores string values, but insert a string that happens to be numeric such as “12345”, then you get an invalid cast exception from the GetString method of the SQLite DataReader. The odd thing is that the GetFieldType method correctly returns String. You can overcome this by using GetValue and casting the result to a string, or calling GetString() on the result as in dr.GetValue().ToString().

Another strange one is date comparisons. In my case the application only stores dates, not times; but SQLite using the .NET provider stores the values as DateTime strings. The SQLite query engine returns false if you test whether “yyyy-mm-dd 00:00:00” is equal to “yyy-mm-dd”. The solution is to use the date function: date(datefield) = date(datevalue) works as you would expect. Alternatively you can test for a value between two dates, such as more than yesterday and less than tomorrow.

Performance is excellent, with SQLite . Unit tests of various parts of the application that make use of the database showed speed-ups of between 2 and 3 times faster then JET on average; one was 8 times faster. Note though that you must use transactions with SQLite (or disable synchronous operation) for bulk updates, otherwise database writes are very slow. The reason is that SQLite wraps every INSERT or UPDATE in a transaction by default. So you get the effect described here:

Actually, SQLite will easily do 50,000 or more INSERT statements per second on an average desktop computer. But it will only do a few dozen transactions per second. Transaction speed is limited by the rotational speed of your disk drive. A transaction normally requires two complete rotations of the disk platter, which on a 7200RPM disk drive limits you to about 60 transactions per second.

Without a transaction, a unit test that does a bulk insert, for example, took 3 minutes, versus 6 seconds for JET. Refactoring into several transactions reduced the SQLite time to 3 seconds, while JET went down to 5 seconds.