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  2. Record locking - Wikipedia

    en.wikipedia.org/wiki/Record_locking

    This prevents records from being overwritten incorrectly, but allows only one record to be processed at a time, locking out other users who need to edit records at the same time. To allow several users to edit a database table at the same time and also prevent inconsistencies created by unrestricted access, a single record can be locked when ...

  3. Query optimization - Wikipedia

    en.wikipedia.org/wiki/Query_optimization

    Each different way typically requires different processing time. Processing times of the same query may have large variance, from a fraction of a second to hours, depending on the chosen method. The purpose of query optimization, which is an automated process, is to find the way to process a given query in minimum time.

  4. CAP theorem - Wikipedia

    en.wikipedia.org/wiki/CAP_theorem

    The system continues to operate despite an arbitrary number of messages being dropped (or delayed) by the network between nodes. When a network partition failure happens, it must be decided whether to do one of the following: cancel the operation and thus decrease the availability but ensure consistency

  5. 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.

  6. Skyline operator - Wikipedia

    en.wikipedia.org/wiki/Skyline_operator

    The skyline operator is the subject of an optimization problem and computes the Pareto optimum on tuples with multiple dimensions.. This operator is an extension to SQL proposed by Börzsönyi et al. [1] to filter results from a database to keep only those objects that are not worse in multiple dimensions than any other.

  7. Busy waiting - Wikipedia

    en.wikipedia.org/wiki/Busy_waiting

    The scheduler is given the information needed to implement priority inheritance or other mechanisms to avoid starvation. Busy-waiting itself can be made much less wasteful by using a delay function (e.g., sleep()) found in most operating systems. This puts a thread to sleep for a specified time, during which the thread will waste no CPU time.

  8. Real-time database - Wikipedia

    en.wikipedia.org/wiki/Real-time_database

    Real-time databases may be modified to improve accuracy and efficiency and to avoid conflict, by providing deadlines and wait periods to insure temporal consistency. Real-time database systems offer a way of monitoring a physical system and representing it in data streams to a database. A data stream, like memory, fades over time.

  9. Temporal database - Wikipedia

    en.wikipedia.org/wiki/Temporal_database

    Datalog queries, complete data history, and SQL analytics support." For every change made to the data, it records the responsible transaction and the point in time when it happened. [18] Temporal databases were one of the earliest forms of data version control, and influenced the development of modern data versioning systems. [19]