Instead of parsing a file format like YAML, a developer can use SQLite as an interface to those files-often far faster than operating on them manually. SQLite also provides a fast and powerful way to store configuration data for a program. SQLite has features found in higher-end databases such as full-text indexing and support for JSON data. Application data typically stuffed into semi-structured formats like YAML or XML can be stored as SQLite tables, allowing the data to be accessed more easily and processed more quickly. ![]() SQLite supports transactions and atomic behaviors, so a program crash or even a power outage won’t leave you with a corrupted database. The most common and obvious use case for SQLite is serving as a conventional, table-oriented relational database. In addition, third parties have written a wide variety of ORMs and data layers that use SQLite, so you’re not stuck accessing SQLite via raw SQL strings (which is not only clumsy but also potentially dangerous).įinally, the source code for SQLite is public domain, so it can be reused in other programs with no practical restrictions. Python, for instance, bundles the SQLite library as a standard-issue element with the stock version of the Python interpreter. Many languages have high-level bindings for SQLite as a library, and can use that in conjunction with other database access layers for the language. SQLite’s binaries are self-contained, so they require no particular magic to deploy-they can simply be dropped into the same directory as the application. ![]() Apps that use SQLite don’t have to be written in any particular language, as long as there is some way to bind and work with external libraries written in C.
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