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  2. Database scalability - Wikipedia

    en.wikipedia.org/wiki/Database_scalability

    For example, in OLTP systems, many transactions may attempt to insert data into the same table at the same time. In a shared nothing system, at any given moment, all such inserts are processed by the single server that manages that partition (shard) of the table, possibly overwhelming it, while the rest of the system has little to do. Many such ...

  3. Concurrency control - Wikipedia

    en.wikipedia.org/wiki/Concurrency_control

    Thus concurrency control is an essential element for correctness in any system where two database transactions or more, executed with time overlap, can access the same data, e.g., virtually in any general-purpose database system. Consequently, a vast body of related research has been accumulated since database systems emerged in the early 1970s.

  4. Optimistic concurrency control - Wikipedia

    en.wikipedia.org/wiki/Optimistic_concurrency_control

    Any PUT requests with an out-of-date ETag in the If-Match header can then be rejected. [3] Some database management systems offer OCC natively, without requiring special application code. For others, the application can implement an OCC layer outside of the database, and avoid waiting or silently overwriting records.

  5. 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.

  6. Snapshot isolation - Wikipedia

    en.wikipedia.org/wiki/Snapshot_isolation

    In databases, and transaction processing (transaction management), snapshot isolation is a guarantee that all reads made in a transaction will see a consistent snapshot of the database (in practice it reads the last committed values that existed at the time it started), and the transaction itself will successfully commit only if no updates it has made conflict with any concurrent updates made ...

  7. Slowly changing dimension - Wikipedia

    en.wikipedia.org/wiki/Slowly_changing_dimension

    In data management and data warehousing, a slowly changing dimension (SCD) is a dimension that stores data which, while generally stable, may change over time, often in an unpredictable manner. [1] This contrasts with a rapidly changing dimension , such as transactional parameters like customer ID, product ID, quantity, and price, which undergo ...

  8. 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.

  9. Asynchronous I/O - Wikipedia

    en.wikipedia.org/wiki/Asynchronous_I/O

    Input and output (I/O) operations on a computer can be extremely slow compared to the processing of data. An I/O device can incorporate mechanical devices that must physically move, such as a hard drive seeking a track to read or write; this is often orders of magnitude slower than the switching of electric current.