Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Appearance settings

mongodb-labs/py-tpcc

Open more actions menu

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

TPC-C in Python for MongoDB

Approved in July of 1992, TPC Benchmark C is an on-line transaction processing (OLTP) benchmark. TPC-C is more complex than previous OLTP benchmarks such as TPC-A because of its multiple transaction types, more complex database and overall execution structure. TPC-C involves a mix of five concurrent transactions of different types and complexity either executed on-line or queued for deferred execution. The database is comprised of nine types of tables with a wide range of record and population sizes. TPC-C is measured in transactions per minute (tpmC). While the benchmark portrays the activity of a wholesale supplier, TPC-C is not limited to the activity of any particular business segment, but, rather represents any industry that must manage, sell, or distribute a product or service.

To learn more about TPC-C, please see the TPC-C documentation.

This repo is an experimental variant of Python TPC-C implementation based on the original here.

The structure of the repo is:

  1. pytpcc - the code for pytpcc with driver (DB) specific code in drivers subdirectory.
  2. vldb2019 - 2019 VLDB paper, poster and results generated from this code

All the tests were run using MongoDB Atlas. Use code VLDB2019 to get $150 credit to get started with MongoDB Atlas.

About

MongoDB Adaptation of PyTPCC

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published
Morty Proxy This is a proxified and sanitized view of the page, visit original site.