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  2. ACID - Wikipedia

    en.wikipedia.org/wiki/ACID

    These four properties are the major guarantees of the transaction paradigm, which has influenced many aspects of development in database systems. According to Gray and Reuter, the IBM Information Management System supported ACID transactions as early as 1973 (although the acronym was created later). [3]

  3. Concurrency control - Wikipedia

    en.wikipedia.org/wiki/Concurrency_control

    Each transaction has well defined boundaries in terms of which program/code executions are included in that transaction (determined by the transaction's programmer via special transaction commands). Every database transaction obeys the following rules (by support in the database system; i.e., a database system is designed to guarantee them for ...

  4. Commit (data management) - Wikipedia

    en.wikipedia.org/wiki/Commit_(data_management)

    In terms of transactions, the opposite of commit is to discard the tentative changes of a transaction, a rollback. The transaction, commit and rollback concepts are key to the ACID property of databases. [1] A COMMIT statement in SQL ends a transaction within a relational database management system (RDBMS

  5. Durability (database systems) - Wikipedia

    en.wikipedia.org/wiki/Durability_(database_systems)

    In database systems, durability is the ACID property that guarantees that the effects of transactions that have been committed will survive permanently, even in cases of failures, [1] including incidents and catastrophic events. For example, if a flight booking reports that a seat has successfully been booked, then the seat will remain booked ...

  6. Isolation (database systems) - Wikipedia

    en.wikipedia.org/wiki/Isolation_(database_systems)

    Isolation is typically enforced at the database level. However, various client-side systems can also be used. It can be controlled in application frameworks or runtime containers such as J2EE Entity Beans [2] On older systems, it may be implemented systemically (by the application developers), for example through the use of temporary tables.

  7. Consistency (database systems) - Wikipedia

    en.wikipedia.org/wiki/Consistency_(database_systems)

    The CAP theorem is based on three trade-offs, one of which is "atomic consistency" (shortened to "consistency" for the acronym), about which the authors note, "Discussing atomic consistency is somewhat different than talking about an ACID database, as database consistency refers to transactions, while atomic consistency refers only to a property of a single request/response operation sequence.

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  9. Atomicity (database systems) - Wikipedia

    en.wikipedia.org/wiki/Atomicity_(database_systems)

    Atomicity does not behave completely orthogonally with regard to the other ACID properties of transactions. For example, isolation relies on atomicity to roll back the enclosing transaction in the event of an isolation violation such as a deadlock; consistency also relies on atomicity to roll back the enclosing transaction in the event of a consistency violation by an illegal transaction.