Essays about: "Query Response Time"
Showing result 1 - 5 of 22 essays containing the words Query Response Time.
-
1. Database Tuning using Evolutionary and Search Algorithms
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Achieving optimal performance of a database can be crucial for many businesses, and tuning its configuration parameters is a necessary step in this process. Many existing tuning methods involve complex machine learning algorithms and require large amounts of historical data from the system being tuned. READ MORE
-
2. GraphQL vs. REST : A Comparison of Runtime Performance
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Application Programming Interfaces (APIs) are an important component in modern-day web applications. Representation State Transfer (REST) has been the de facto standard for building web APIs since its inception in 2000. In 2015 Facebook launched GraphQL, a technology with the purpose of solving some of the drawbacks of traditional REST APIs. READ MORE
-
3. Clustering SQL-queries using unsupervised machine learning
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Decerno has created a business system that utilizes Microsoft's Entity Framework (EF) which is an object-database mapper. It can automatically generate SQL queries from code written in C#. Some of these queries has started to display significant increase in query response time which require further examination. READ MORE
-
4. GraphQL query performance comparison using MySQL and MongoDB : By conducting Experiments with and without a DataLoader
University essay from Jönköping University/JTH, Avdelningen för datateknik och informatikAbstract : GraphQL is a query language rising in popularity, causing many transitions from traditional API endpoints to a GraphQL solution. Reflecting upon the positives and the flaws to using GraphQL, a DataLoader for batching queries sent to databases is sold as a solution to the infamous N+1 problem. READ MORE
-
5. Exploring Housing Market Dynamics through Google Search : A Case of Taiwan
University essay from KTH/Fastigheter och byggandeAbstract : To capture house price fluctuations, it is important to combine appropriate factors into the price forecasting model. Fundamental macroeconomic variables have been considered quite completely in many housing price models. However, the ability of these models to predict housing prices are still limited. READ MORE