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  2. Two-phase locking - Wikipedia

    en.wikipedia.org/wiki/Two-phase_locking

    In databases and transaction processing, two-phase locking (2PL) is a pessimistic concurrency control method that guarantees conflict-serializability. [1] [2] It is also the name of the resulting set of database transaction schedules (histories).

  3. Two-phase commit protocol - Wikipedia

    en.wikipedia.org/wiki/Two-phase_commit_protocol

    The sequence diagram showing the success path of Two Phase Commit protocol created with FizzBee. In transaction processing, databases, and computer networking, the two-phase commit protocol (2PC, tupac) is a type of atomic commitment protocol (ACP).

  4. Record locking - Wikipedia

    en.wikipedia.org/wiki/Record_locking

    In a SQL database, a record is typically called a "row". The introduction of granular (subset) locks creates the possibility for a situation called deadlock. Deadlock is possible when incremental locking (locking one entity, then locking one or more additional entities) is used. To illustrate, if two bank customers asked two clerks to obtain ...

  5. Concurrency control - Wikipedia

    en.wikipedia.org/wiki/Concurrency_control

    The mutual blocking between two transactions (where each one blocks the other) or more results in a deadlock, where the transactions involved are stalled and cannot reach completion. Most non-optimistic mechanisms (with blocking) are prone to deadlocks which are resolved by an intentional abort of a stalled transaction (which releases the other ...

  6. Durability (database systems) - Wikipedia

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

    To guarantee durability at this level, the database system shall rely on stable memory, which is a memory that is completely and ideally failure-resistant. This kind of memory can be achieved with mechanisms of replication and robust writing protocols. [4]

  7. MySQL Cluster - Wikipedia

    en.wikipedia.org/wiki/MySQL_Cluster

    MySQL Cluster automatically creates “node groups” from the number of replicas and data nodes specified by the user. Updates are synchronously replicated between members of the node group to protect against data loss and support fast failover between nodes. Cluster replication differs from "MySQL Replication", which is instead asynchronous.

  8. Multi-master replication - Wikipedia

    en.wikipedia.org/wiki/Multi-master_replication

    MySQL: MySQL Group Replication, a plugin for virtual synchronous multi-master with conflict handling and distributed recovery was released with 5.7.17. Cluster Projects: MySQL Cluster supports conflict detection and resolution between multiple masters since version 6.3 for true multi-master capability for the MySQL Server.

  9. Quorum (distributed computing) - Wikipedia

    en.wikipedia.org/wiki/Quorum_(distributed_computing)

    In a distributed database system, a transaction could execute its operations at multiple sites. Since atomicity requires every distributed transaction to be atomic, the transaction must have the same fate (commit or abort) at every site.