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  2. Database tuning - Wikipedia

    en.wikipedia.org/wiki/Database_tuning

    Database tuning describes a group of activities used to optimize and homogenize the performance of a database.It usually overlaps with query tuning, but refers to design of the database files, selection of the database management system (DBMS) application, and configuration of the database's environment (operating system, CPU, etc.).

  3. Hint (SQL) - Wikipedia

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

    MySQL uses its own extension to the SQL standard, where a table name may be followed by USE INDEX, FORCE INDEX or IGNORE INDEX keywords. [ 1 ] Oracle implements hints by using specially-crafted comments in the query that begin with a + symbol, thus not affecting SQL compatibility.

  4. Query optimization - Wikipedia

    en.wikipedia.org/wiki/Query_optimization

    The performance of a query plan is determined largely by the order in which the tables are joined. For example, when joining 3 tables A, B, C of size 10 rows, 10,000 rows, and 1,000,000 rows, respectively, a query plan that joins B and C first can take several orders-of-magnitude more time to execute than one that joins A and C first.

  5. Database normalization - Wikipedia

    en.wikipedia.org/wiki/Database_normalization

    Beginning MySQL Database Design and Optimization Texas As this table structure consists of a compound primary key , it doesn't contain any non-key attributes and it's already in BCNF (and therefore also satisfies all the previous normal forms ).

  6. MySQL - Wikipedia

    en.wikipedia.org/wiki/MySQL

    MySQL (/ ˌ m aɪ ˌ ɛ s ˌ k juː ˈ ɛ l /) [5] is an open-source relational database management system (RDBMS). [5] [6] Its name is a combination of "My", the name of co-founder Michael Widenius's daughter My, [7] and "SQL", the acronym for Structured Query Language.

  7. Prepared statement - Wikipedia

    en.wikipedia.org/wiki/Prepared_statement

    Implementation limitations may also lead to performance penalties; for example, some versions of MySQL did not cache results of prepared queries. [4] A stored procedure, which is also precompiled and stored on the server for later execution, has similar advantages. Unlike a stored procedure, a prepared statement is not normally written in a ...

  8. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    Specialized editions for (for example) clustering, high availability, 64-bit support, and hybrid (in-memory and persistent) storage. eXtremeDB Financial Edition implements columnar data handling, vector-based statistical function library, integrated performance monitoring. H2 (DBMS) H2 Java, ODBC, JDBC

  9. Sun Microsystems - Wikipedia

    en.wikipedia.org/wiki/Sun_Microsystems

    Sun acquired MySQL AB, the developer of the MySQL database in 2008 for US$1 billion. [93] CEO Jonathan Schwartz mentioned in his blog that optimizing the performance of MySQL was one of the priorities of the acquisition. [94] In February 2008, Sun began to publish results of the MySQL performance optimization work. [95]