F1 Database System: Architecture, Design, and Performance Analysis

This report provides an overview of the F1 database system, a distributed relational database developed by Google to support its AdWords business. The report examines the architecture, design goals, and key features of F1, including its hybrid approach that combines the scalability of NoSQL systems like Bigtable with the consistency and usability of traditional SQL databases. The report highlights the use of Spanner for synchronous cross-datacenter replication and strong consistency, addressing the issue of higher commit latency through a hierarchical schema model and smart application design. It also discusses the F1's distributed SQL query engine and automatic change tracking. The report also explores the intention and content of a journal paper which discusses the F1 system, its scalability, availability, consistency, and usability. It also highlights the issues of synchronous replication and the limitations of traditional MySQL systems, offering a detailed analysis of the F1 database system's design and performance.

DATABASE SYSTEM

INTRODUCTION
• F1 is the distributed relational database scheme
which is generated and produced at Google to
support the Ad-Words business
• The aim of this PPT is to gather the information
about SQL database system and the basic
architecture of the F1 system
• In which a journal paper will be discussed which is
completely based on the F1 database system

INTENTION AND CONTENT OF THE
JOURNAL
• The title of the research paper is F1: A Distributed
SQL Database That Scales.
• According to the researcher the F1 database is
developed on the spanner that delivers the
synchronous irritated repetition and well
reliability (Shute, et al., 2013).
• There are main four goals and objectives of the
F1 designs such as scalability, availability,
consistency, and usability which are described in
this journal paper

RESEARCH METHODS
• Research design:
• In this journal paper, the qualitative research design is
used that provide the theoretical information about the
research topic
• Data collection:
• Only secondary types of data are collected in this
investigation
• Data analysis:
• The data analysis approach is adopted by the
investigator to evaluate the secondary data or
information that can help them to collect the relevant
information about F1 database system

ISSUES HIGHLIGHTED BY THE AUTHOR
• Research observed that the process of
synchronous replication implies the large commit
latency which is one of the common problems
occur in the F1 system
• The traditional MySQL is not able to meet the
requirements of the clients and they do not
provide the scalability and reliability of the
system these issues were highlighted by the
author (Rae, et al., 2013).

CONCLUSION
• This PPT analysed the significance of the F1
system in for improving the scalability and
reliability of the system.
• In which an intention and content of the journal
also explained to understand the phenomena of
the F1 system which help to reduce the research
gaps in the previous investigation

REFERENCES
• Shute, J., Vingralek, R., Samwel, B., Handy, B.,
Whipkey, C., Rollins, E., Oancea, M., Littlefield, K.,
Menestrina, D., Ellner, S. and Cieslewicz, J.,
(2013) F1: A distributed sql database that
scales. Proceedings of the VLDB
Endowment, 6(11), pp.1068-1079.
• Rae, I., Rollins, E., Shute, J., Sodhi, S. and
Vingralek, R., (2013) Online, asynchronous
schema change in F1. Proceedings of the VLDB
Endowment, 6(11), pp.1045-1056.