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Access sqlite command line shell1/25/2024 ![]() Where you need concurrency, ACID compliance isn’t really enough because it relies on file locks, so write transactions are effectively serialized. Although SQLite will happily handle data sizes over a gigabyte, it is limited to a single file. There are reasons for using SQL Server instead once your application grows, because the performance and simplicity comes at a price. There are many tools around for working on SQLite databases if you’re not a programmer by inclination. Of course, there is some compromise since there aren’t nearly so many data types in SQLite and, like most NoSQL databases, the data is represented in storage as a string. In scripts, I can pass tables, and their data, easily between SQL Server and SQLite, using either ODBC, a NET library or a nice, simple command-line file that is reminiscent of SQLCMD. It requires no administration.Ī huge range of utility applications are available to make the creation and administration of databases maintenance of the data easy. Creating a SQLite database instance is as easy as opening a simple cross-platform file that contains the entire database instance. The SQLite library accesses its storage files directly, using a single library, written in C, which contains the entire database system. The benefit of using an ORM is that programmers can continue to think in terms of JavaScript objects rather than database semantics - this is particularly true if you need to work with different databases (on either the same or different websites).It is specifically designed as a zero-configuration, embedded, relational database with full ACID compliance, and a good simple dialect of SQL92. ODM's are often slower because they use translation code to map between objects and the database format, which may not use the most efficient database queries (this is particularly true if the ODM supports different database backends, and must make greater compromises in terms of what database features are supported). The very best performance can be gained by using SQL, or whatever query language is supported by the database. Some ORMs are tied to a specific database, while others provide a database-agnostic backend. An ORM represents the website's data as JavaScript objects, which are then mapped to the underlying database. Using an Object Relational Mapper ("ORM").Using the databases' native query language, such as SQL.There are two common approaches for interacting with a database: Solve common problems in your JavaScript code.Express Tutorial Part 7: Deploying to production.Express Tutorial Part 6: Working with forms.Express Tutorial Part 5: Displaying library data.Express Tutorial Part 4: Routes and controllers.Express Tutorial Part 3: Using a Database (with Mongoose).Express Tutorial Part 2: Creating a skeleton website.Express Tutorial: The Local Library website.Setting up a Node development environment.Express web framework (Node.js/JavaScript).Express Web Framework (Node.js/JavaScript).Django Tutorial Part 11: Deploying Django to production.Django Tutorial Part 10: Testing a Django web application.Django Tutorial Part 9: Working with forms.Django Tutorial Part 8: User authentication and permissions.Django Tutorial Part 7: Sessions framework.Django Tutorial Part 6: Generic list and detail views.Django Tutorial Part 5: Creating our home page.Django Tutorial Part 4: Django admin site.Django Tutorial Part 2: Creating a skeleton website.Django Tutorial: The Local Library website. ![]()
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