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Since SQL is declarative, there are typically many alternative ways to execute a given query, with widely varying performance. When a query is submitted to the database, the query optimizer evaluates some of the different, correct possible plans for executing the query and returns what it considers the best option.
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.).
Database tuning and performance monitoring. Application tuning and performance monitoring. Setup and maintain documentation and standards. Plan growth and changes (capacity planning). Work as part of a team and provide 24/7 support when required. Do general technical troubleshooting and give cons. Database recovery
SQL Performance Tuning by Peter Gulutzan, Trudy Pelzer (Addison Wesley, 2002) ISBN 0-201-79169-2 (Chapter 2, Simple "Searches"); Microsoft SQL Server 2012 Internals by Kalen Delaney, Connor Cunningham, Jonathan Kehayias, Benjamin Nevarez, Paul S. Randal (O'Reily, 2013) ISBN 978-0-7356-5856-1 (Chapter 11, The Query Optimizer)
Microsoft SQL Server (Structured Query Language) is a proprietary relational database management system developed by Microsoft.As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network (including the Internet).
Azure SQL Database includes built-in intelligence that learns app patterns and adapts them to maximize performance, reliability, and data protection. Key capabilities include: Learning of the host app's data access patterns, adaptive performance tuning, and automatic improvements to reliability and data protection. [3] Scaling on demand. [4]
Hekaton (also known as SQL Server In-Memory OLTP) is an in-memory database for OLTP workloads built into Microsoft SQL Server. [1] Hekaton was designed in collaboration with Microsoft Research [2] and was released in SQL Server 2014. [3] [4] Traditional RDBMS systems were designed when memory resources were expensive, and were optimized for ...
Microsoft SQL Server (Newer implementations only) FFTW (Fastest Fourier Transform in the West) ATLAS (Automatically Tuned Linear Algebra Software) libtune (Tunables library for Linux) PhiPAC (Self Tuning Linear Algebra Software for RISC) MILEPOST GCC (Machine learning based self-tuning compiler) Performance benefits can be substantial.