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MySQL Connector/ODBC, once known as MyODBC, is computer software from Oracle Corporation. It is an ODBC interface and allows programming languages that support the ODBC interface to communicate with a MySQL database.
Major DBMSs, including SQLite, [5] MySQL, [6] Oracle, [7] IBM Db2, [8] Microsoft SQL Server [9] and PostgreSQL [10] support prepared statements. Prepared statements are normally executed through a non-SQL binary protocol for efficiency and protection from SQL injection, but with some DBMSs such as MySQL prepared statements are also available using a SQL syntax for debugging purposes.
FETCH ABSOLUTE n FROM cursor_name FETCH RELATIVE n FROM cursor_name; Scrollable cursors can potentially access the same row in the result set multiple times. Thus, data modifications (insert, update, delete operations) from other transactions could affect the result set. A cursor can be SENSITIVE or INSENSITIVE to such data modifications.
MySQL (/ ˌ m aɪ ˌ ɛ s ˌ k juː ˈ ɛ l /) [6] is an open-source relational database management system (RDBMS). [6] [7] Its name is a combination of "My", the name of co-founder Michael Widenius's daughter My, [1] and "SQL", the acronym for Structured Query Language.
Storm is a Python programming library for object-relational mapping between one or more SQL databases and Python objects. It allows Python developers to formulate complex queries spanning multiple database tables to support dynamic storage and retrieval of object information.
Db2 is a family of data management products, including database servers, developed by IBM.It initially supported the relational model, but was extended to support object–relational features and non-relational structures like JSON and XML.
Note (2): MariaDB and MySQL provide ACID compliance through the default InnoDB storage engine. [71] [72] Note (3): "For other than InnoDB storage engines, MySQL Server parses and ignores the FOREIGN KEY and REFERENCES syntax in CREATE TABLE statements. The CHECK clause is parsed but ignored by all storage engines." [73]
Horizontal partitioning splits one or more tables by row, usually within a single instance of a schema and a database server. It may offer an advantage by reducing index size (and thus search effort) provided that there is some obvious, robust, implicit way to identify in which partition a particular row will be found, without first needing to search the index, e.g., the classic example of the ...
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