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PowerBuilder, Oracle PL/SQL, SQL Server Transact-SQL (T-SQL) Continuous Code inspection, reports on quality and security issues, helps understand complex code (cross-references, source code documentation, code comparison, code performance analysis).
Performance profiler (sampled or instrumented) and analyzer, focused on game development. Proprietary Systemtap: Linux Programmable system tracing/probing tool; may be scripted to generate time- or performance-counter- or function-based profiles of the kernel and/or its userspace. Open source Valgrind: Linux, macOS, Solaris, Android
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.).
A data dependency in computer science is a situation in which a program statement (instruction) refers to the data of a preceding statement. In compiler theory , the technique used to discover data dependencies among statements (or instructions) is called dependence analysis .
In a SQL database query, a correlated subquery (also known as a synchronized subquery) is a subquery (a query nested inside another query) that uses values from the outer query. This can have major impact on performance because the correlated subquery might get recomputed every time for each row of the outer query is processed.
The opposite of embarrassingly parallel problems are inherently serial problems, which cannot be parallelized at all. A common example of an embarrassingly parallel problem is 3D video rendering handled by a graphics processing unit , where each frame (forward method) or pixel ( ray tracing method) can be handled with no interdependency. [ 3 ]
Database normalization is the process of structuring a relational database in accordance with a series of so-called normal forms in order to reduce data redundancy and improve data integrity.
An entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations where runtime usage patterns are arbitrary, subject to user variation, or otherwise unforeseeable using a fixed design.