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  2. Insert (SQL) - Wikipedia

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

    Using a SELECT statement after the INSERT statement with a database-specific function that returns the generated primary key for the most recently inserted row. For example, LAST_INSERT_ID() for MySQL. Using a unique combination of elements from the original SQL INSERT in a subsequent SELECT statement.

  3. Data control language - Wikipedia

    en.wikipedia.org/wiki/Data_Control_Language

    For example: GRANT can be used to give privileges to user to do SELECT, INSERT, UPDATE and DELETE on a specific table or multiple tables. The REVOKE command is used take back a privilege (default) or revoking specific command like UPDATE or DELETE based on requirements.

  4. Merge (SQL) - Wikipedia

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

    There is also an IGNORE clause for the INSERT statement, [7] which tells the server to ignore "duplicate key" errors and go on (existing rows will not be inserted or updated, but all new rows will be inserted). SQLite's INSERT OR REPLACE INTO works similarly. It also supports REPLACE INTO as an alias for compatibility with MySQL. [8]

  5. Data manipulation language - Wikipedia

    en.wikipedia.org/wiki/Data_manipulation_language

    In SQL, the data manipulation language comprises the SQL-data change statements, [3] which modify stored data but not the schema or database objects. Manipulation of persistent database objects, e.g., tables or stored procedures, via the SQL schema statements, [3] rather than the data stored within them, is considered to be part of a separate data definition language (DDL).

  6. 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 ...

  7. 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.

  8. Multiversion concurrency control - Wikipedia

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

    Read and write transactions are thus isolated from each other without any need for locking. However, despite locks being unnecessary, they are used by some MVCC databases such as Oracle. Writes create a newer version, while concurrent reads access an older version.

  9. Change data capture - Wikipedia

    en.wikipedia.org/wiki/Change_data_capture

    For optimistic locking each row has an independent version number, typically a sequential counter. This allows a process to atomically update a row and increment its counter only if another process has not incremented the counter. But CDC cannot use row-level versions to find all changes unless it knows the original "starting" version of every row.