Ad
related to: wikipedia query optimization techniques tutorial youtube
Search results
Results From The WOW.Com Content Network
Query optimization is a feature of many relational database management systems and other databases such as NoSQL and graph databases.The query optimizer attempts to determine the most efficient way to execute a given query by considering the possible query plans.
If a query scans millions of rows, consider breaking it into multiple queries. Query time versus number of rows increases exponentially, not linearly. Indexes - Check the documentation on MediaWiki wiki for each database table. There is a list of indexes. Pay attention to what those are, since you'll want to try to search only those fields.
Some of the most popular and useful queries are run regularly and can be found at Wikipedia:Database reports. If neither of these suits your query, you can request that someone run a query for you, or download your own copy of the database to work on.
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.).
Specific applications of search algorithms include: Problems in combinatorial optimization, such as: . The vehicle routing problem, a form of shortest path problem; The knapsack problem: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as ...
This page is the official project page for the English Wikipedia version of the Video and Interactive Tutorials Project that was approved by a full Wikimedia Foundation Grants Committee. The associated talk page serves as the forum to make your voice heard during the creation of these tutorials. Information on the project itself can be viewed ...
This example of the Pareto principle (or 80–20 rule) allows search engines to employ optimization techniques such as index or database partitioning, caching and pre-fetching. In addition, studies have been conducted into linguistically-oriented attributes that can recognize if a web query is navigational, informational or transactional. [14]
An implication of Amdahl's law is that to speed up real applications which have both serial and parallel portions, heterogeneous computing techniques are required. [12] There are novel speedup and energy consumption models based on a more general representation of heterogeneity, referred to as the normal form heterogeneity, that support a wide ...