tristanwedderburn/py-tpcc

MongoDB Adaptation of PyTPCC

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
   • VLDB Paper
   • VLDB Poster
   • Result directory

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