Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
Performance Comparison Of The Filesystem And Embedded Key-Value Databases, Jesse Hines, Nicholas Cunningham
Performance Comparison Of The Filesystem And Embedded Key-Value Databases, Jesse Hines, Nicholas Cunningham
Campus Research Day
A common scenario when developing local applications is storing many records and then retrieving them by ID. A developer can simply save the records as files or use an embedded database. Large numbers of files can slow down filesystems, but developers may want to avoid a dependency on an embedded database if it offers little benefit for their use case. We will compare the performance for the insert, update, get and delete operations and the space efficiency of storing records as files vs. using key-value embedded databases including RocksDB, LevelDB, Berkley DB, and SQLite.
Database Query Execution Through Virtual Reality, Logan Bateman, Marc Butler
Database Query Execution Through Virtual Reality, Logan Bateman, Marc Butler
Campus Research Day
Building database queries often requires technical knowledge of a query language. However, company employees, such as executives, managers, and others (outside of software research and development, generally) may not have the pre-required knowledge to accurately construct and execute database queries. This paper proposes an approach to constructing database queries using virtual reality. This approach utilizes natural hand or controller gestures which map to various components of building and visualizing database queries.
Realtime Visualization Of Kafka Architectures, Matthew Jensen, Miro Manestar
Realtime Visualization Of Kafka Architectures, Matthew Jensen, Miro Manestar
Campus Research Day
Apache Kafka specializes in the transfer of incredibly large amounts of data in real-time between devices. However, it can be difficult to comprehend the inner workings of Kafka. Often, to get real-time data, a user must run complicated commands from within the Kafka CLI. Our contribution is a tool that monitors Kafka consumers, producers, and topics, and displays the flow of events between them in a web-based dashboard. This dashboard serves to reduce the complexity of Kafka and enables users unfamiliar with the platform and protocol to better understand how their architecture is configured.