Join GitHub today
GitHub is home to over 20 million developers working together to host and review code, manage projects, and build software together.
Fetching latest commit…
Cannot retrieve the latest commit at this time.
|Failed to load latest commit information.|
Comparative Database Querying for High-Volume Low-Contention Web Applications Yale University - CS 438 Professor Daniel Abadi Bay Gross firstname.lastname@example.org Charlie Croom email@example.com Mike Levine firstname.lastname@example.org -- Abstract This paper investigates the relative performance of four representative database systems under the simulated workload of a modern class of web applications. Specifically, we modeled our test suite on the expected high-volume low-contention workload behind many popular “read heavy” web applications such as Twitter, or Tumblr. The database systems tested were IBM’s DB2, PostgreSQL, HBase, and MongoDB, and each of these DBMS was installed “out of the box.” -- Execution Edit config/db.yml to reflect the connection information for your DBMS once installed. Seed data can be configured and installed via seeds/seedit.rb The test suite can be configured and run via tests/testit.rb -- All code (for building the schema, generating and seeding the initial data, and executing the final test suite) is maintained and hosted online at GitHub. It can be accessed at the following URL. https://github.com/baygross/DB-Performance-Testing