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  2. Record locking - Wikipedia

    en.wikipedia.org/wiki/Record_locking

    Record locking is the technique of preventing simultaneous access to data in a database, to prevent inconsistent results. The classic example is demonstrated by two bank clerks attempting to update the same bank account for two different transactions. Clerks 1 and 2 both retrieve (i.e., copy) the account's record. Clerk 1 applies and saves a ...

  3. Change data capture - Wikipedia

    en.wikipedia.org/wiki/Change_data_capture

    The queue table might have schema with the following fields: Id, TableName, RowId, Timestamp, Operation. The data inserted for our Account sample might be: 1, Accounts, 76, 2008-11-02 00:15, Update. More complicated designs might log the actual data that changed.

  4. Update (SQL) - Wikipedia

    en.wikipedia.org/wiki/Update_(SQL)

    An SQL UPDATE statement changes the data of one or more records in a table. Either all the rows can be updated, or a subset may be chosen using a condition. The UPDATE statement has the following form: [1] UPDATE table_name SET column_name = value [, column_name = value ...] [WHERE condition]

  5. 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 ...

  6. Multiversion concurrency control - Wikipedia

    en.wikipedia.org/wiki/Multiversion_concurrency...

    The simplest way is to make all readers wait until the writer is done, which is known as a read-write lock. Locks are known to create contention especially between long read transactions and update transactions. MVCC aims at solving the problem by keeping multiple copies of each data item.

  7. 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.

  8. 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.

  9. Multiple granularity locking - Wikipedia

    en.wikipedia.org/wiki/Multiple_granularity_locking

    IS locks conflict with X locks, while IX locks conflict with S and X locks. 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 ...