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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.
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.).
SQL editors allow users to edit and execute SQL statements. They may support the following features: cut, copy, paste, undo, redo, find (and replace), bookmarks; block indent, print, save file, uppercase/lowercase; keyword highlighting; auto-completion; access to frequently used files; output of query result; editing query-results
FQL enables you to use a SQL-style interface to query the data exposed by the Graph API. It provides advanced features not available in the Graph API. [3] Gellish English is a language that can be used for queries in Gellish English Databases, for dialogues (requests and responses) as well as for information modeling and knowledge modeling; [4]
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He has participated on the ANSI X3H2 Database Standards Committee, and helped write the SQL-89 and SQL-92 standards. He is the author of a Morgan-Kaufmann series of books on SQL, and over 1200 published articles on SQL and other database topics. He had been a full-time statistician for several years.
The following example of a SELECT query returns a list of expensive books. The query retrieves all rows from the Book table in which the price column contains a value greater than 100.00. The result is sorted in ascending order by title. The asterisk (*) in the select list indicates that all columns of the Book table should be included in the ...
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] Sun contributed to the PostgreSQL project. On the Java platform, Sun contributed to and supported Java DB.