Sqlite limitations driver#

Support for a wide variety of SQL queries.Transactions are atomic, consistent, isolated and durable (ACID).On the other hand, look at all the features that SQLite does provide: After a table is created, columns cannot be dropped or renamed (though you can add new columns).Column data-types are not enforced, e.g.Reasons for this opinion vary, but here are some that come to mind: I've occasionally heard people say that SQLite is not a real database.

Sqlite limitations driver#

If you're interested in trying out the BerkeleyDB SQLite library, compile BerkeleyDB with SQLite compatibility enabled, then build the Python SQLite driver against the custom SQLite shared library. More transactions-per-second when using multiple threads. The image below shows how BerkeleyDB delivers many Then, by compiling the python SQLite driverĪgainst the BerkeleyDB SQLite library, you can achieve some pretty awesome performance. To enable WAL, execute the following query after opening a new connection to the database:Īnother way to achieve higher concurrency is to compile BerkeleyDB Multiple readers to operate on the database, even while a write is occuring. You can gain additional speed when performing concurrent operations. Faster concurrent operationsīy using write-ahead logging (WAL), available since version 3.7.0, If you'd like to learn more about SQLite's locking behavior, I'd suggest reading the In milliseconds, the 5 second timeout is a relative eternity. Parameter, which has a default value of 5 seconds. You can configure this behavior using the timeout So quickly that it's only likely to be an issue if you are doing a lot ofĪdditionally, the Python SQLite driver will automatically retry queries that fail due to theĭatabase being locked. So, even though the database is locked while you are writing, the writes happen

Quickly, and there are ways to make them faster (discussed below). Locking the entire database may sound scary, but typically writes occur very Write transaction, it will lock all the tables. With a multi-threaded or multi-process application. SQLite does support multiple concurrent connections, and therefore it can be used One ofĬan I use SQLite in my web app? I've heard it doesn't do concurrency. I hope to also clear up some common misconceptionsĪs the maintainer of an ORM, I get asked a lot of questions about databases. I'd like to explain why I think that, for many scenarios, SQLite isĪctually a great choice. SQLite is a fantastic database and in this post berkeleydb peewee python sqlite / 10 comments