Sqlite vs sql update#
When a session starts a transaction and executes the INSERT or UPDATE statement to change the data, these changes are only visible to the current session, not others. Isolation: a pending transaction performed by a session must be isolated from other sessions. However, when the transaction is committed or rolled back, it is important that the transaction must keep the database consistent. When a transaction starts and executes a statement to modify data, the database becomes inconsistent. When you commit a transaction, either the entire transaction is applied or not.Ĭonsistent: a transaction must ensure to change the database from one valid state to another. It means that a change cannot be broken down into smaller ones.
SQLite guarantees all the transactions are ACID compliant even if the transaction is interrupted by a program crash, operation system dump, or power failure to the computer.Ītomic: a transaction should be atomic. It means you can store any value in any column, regardless of the data type.Īllows a single database connection to access multiple database files simultaneously. It means all queries and changes are Atomic, Consistent, Isolated, and Durable, all changes within a transaction take place completely or not at all even when an unexpected situation like application crash, power failure, or operating system crash occurs.Ĭapable of creating in-memory databases that are very fast to work with. This makes SQLite usable in any environment especially in embedded devices like iPhones, Android phones, game consoles, handheld media players. Is self-contained, it requires minimal support from the operating system or external library. SQLite does NOT require a server to run (RDBMS such as MySQL, PostgreSQL, etc., requires a separate server process to operate). Python SQLite can be defined as a C Library developed using ANSI-C, light-weight disc based database doesn't demand for an extra or any other separate server process. SQLite is an open-source, zero-configuration, self-contained, stand-alone, transaction relational database engine designed to be embedded into an application.
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