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  2. Record locking - Wikipedia

    en.wikipedia.org/wiki/Record_locking

    not hold the lock across system or function calls where the entity is no longer running on the processor – this can lead to deadlock; ensure that if the entity is unexpectedly exited for any reason, the lock is freed. Non-holders of the lock (a.k.a. waiters) can be held in a list that is serviced in a round-robin fashion, or in a FIFO queue ...

  3. SQL syntax - Wikipedia

    en.wikipedia.org/wiki/SQL_syntax

    A derived table is the use of referencing an SQL subquery in a FROM clause. Essentially, the derived table is a subquery that can be selected from or joined to. The derived table functionality allows the user to reference the subquery as a table. The derived table is sometimes referred to as an inline view or a subselect.

  4. Two-phase locking - Wikipedia

    en.wikipedia.org/wiki/Two-phase_locking

    For 2PL, the only used data-access locks are read-locks (shared locks) and write-locks (exclusive locks). Below are the rules for read-locks and write-locks : A transaction is allowed to read an object if and only if it is holding a read-lock or write-lock on that object.

  5. Multiple granularity locking - Wikipedia

    en.wikipedia.org/wiki/Multiple_granularity_locking

    The null lock (NL) is compatible with everything. To lock a node in S (or X), MGL has the transaction lock on all of its ancestors with IS (or IX), so if a transaction locks a node in S (or X), no other transaction can access its ancestors in X (or S and X). This protocol is shown in the following table:

  6. Index locking - Wikipedia

    en.wikipedia.org/wiki/Index_locking

    A transaction Ti that inserts, updates or deletes a tuple ti in a relation r must update all indices to r and it must obtain exclusive locks on all index leaf nodes affected by the insert/update/delete; The rules of the two-phase locking protocol must be observed. [1] Specialized concurrency control techniques exist for accessing indexes. These ...

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  8. Locks with ordered sharing - Wikipedia

    en.wikipedia.org/wiki/Locks_with_ordered_sharing

    In databases and transaction processing the term Locks with ordered sharing comprises several variants of the two-phase locking (2PL) concurrency control protocol generated by changing the blocking semantics of locks upon conflicts. Further softening of locks eliminates thrashing.

  9. Optimistic concurrency control - Wikipedia

    en.wikipedia.org/wiki/Optimistic_concurrency_control

    Optimistic concurrency control (OCC), also known as optimistic locking, is a non-locking concurrency control method applied to transactional systems such as relational database management systems and software transactional memory. OCC assumes that multiple transactions can frequently complete without interfering with each other.