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The query optimizer attempts to determine the most efficient way to execute a given query by considering the possible query plans. [1] Generally, the query optimizer cannot be accessed directly by users: once queries are submitted to the database server, and parsed by the parser, they are then passed to the query optimizer where optimization ...
Some query tools can generate embedded hints in the query, for use by the optimizer. Some databases - like Oracle - provide a plan table for query tuning. This plan table will return the cost and time for executing a query. Oracle offers two optimization approaches: CBO or Cost Based Optimization; RBO or Rule Based Optimization
Zen supports stand-alone, client-server, peer-to-peer [7] and software-as-a-service (SaaS) [8] architecture. The central architecture of Zen consists of two database engines: (1) the storage engine, known as MicroKernel Database Engine (MKDE) and described as a transactional database engine, and (2) the relational database engine, known as SQL Relational Database Engine (SRDE).
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.).
Version 1.5 featured an improved query optimizer, SQL-92 conditional expressions, SQL:1999 savepoints and support for explicit locking. [11] Firebird 2.0 was released on 12 November 2006, [12] adding support for 64-bit architectures, tables nested in FROM clauses, and programmable lock timeouts in blocking transactions. [13]
[3] [4] [5] The dynamic programming algorithm for determining join order proposed in that paper still forms the basis for most of the query optimizers used in modern relational systems. She also established and led IBM’s Database Technology Institute, considered one of the most successful examples of a fast technology pipeline from research ...
Query rewriting is a typically automatic transformation that takes a set of database tables, views, and/or queries, usually indices, often gathered data and query statistics, and other metadata, and yields a set of different queries, which produce the same results but execute with better performance (for example, faster, or with lower memory use). [1]
A query language, also known as data query language or database query language (DQL), is a computer language used to make queries in databases and information systems. In database systems, query languages rely on strict theory to retrieve information. [1] A well known example is the Structured Query Language (SQL).