Mesa

Author:

Gupta Ashish1,Yang Fan1,Govig Jason1,Kirsch Adam1,Chan Kelvin1,Lai Kevin1,Wu Shuo1,Dhoot Sandeep Govind1,Kumar Abhilash Rajesh1,Agiwal Ankur1,Bhansali Sanjay1,Hong Mingsheng1,Cameron Jamie1,Siddiqi Masood1,Jones David1,Shute Jeff1,Gubarev Andrey1,Venkataraman Shivakumar1,Agrawal Divyakant1

Affiliation:

1. Google, Inc.

Abstract

Mesa is a highly scalable analytic data warehousing system that stores critical measurement data related to Google's Internet advertising business. Mesa is designed to satisfy a complex and challenging set of user and systems requirements, including near real-time data ingestion and queryability, as well as high availability, reliability, fault tolerance, and scalability for large data and query volumes. Specifically, Mesa handles petabytes of data, processes millions of row updates per second, and serves billions of queries that fetch trillions of rows per day. Mesa is geo-replicated across multiple datacenters and provides consistent and repeatable query answers at low latency, even when an entire datacenter fails. This paper presents the Mesa system and reports the performance and scale that it achieves.

Publisher

VLDB Endowment

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

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