Far too many things can stop the BLOB

Local mutable filesystem usage is a scalability problem.

It occurs to me that the lack of a standard, well-supported, memory-efficient interface for BLOBs in multiple programming languages is one of the primary driving factors of poor scalability characteristics of open source SaaS applications.

Applications like Gitlab, Redmine, Trac, Wordpress, and so on, all need to store potentially large files (“attachments”). Frequently, they elect to store these attachments (at least by default) in a dedicated filesystem directory. This leads to a number of tricky concurrency issues, as the filesystem has different (and divorced) concurrency semantics from the backend database, and resides only on the individual API nodes, rather than in the shared namespace of the attached database.

Some databases do support writing to BLOBs like files. Postgres, SQLite, and Oracle do, although it seems MySQL lags behind in this area (although I’d love to be corrected on this front). But many higher-level API bindings for these databases don’t expose support for BLOBs in an efficient way.

Directly using the filesystem, as opposed to a backing service, breaks the “expected” scaling behavior of the front-end portion of a web application. Using an object store, like Cloud Files or S3, is a good option to achieve high scalability for public-facing applications, but that creates additional deployment complexity.

So, as both a plea to others and a note to myself: if you’re writing a database-backed application that needs to store some data, please consider making “store it in the database as BLOBs” an option. And if your particular database client library doesn’t support it, consider filing a bug.