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Adam Dickinson

dblp:199/6284 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
0009-0005-6692-493XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Distributed and cloud data management · 56% Indexing and storage engines · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Indexing and storage engines
columnar storage
0.312017
Spanner: Becoming a SQL System · SIGMOD Conference 2017
Distributed and cloud data management
distributed query processing
0.312017
Spanner: Becoming a SQL System · SIGMOD Conference 2017
Distributed and cloud data management › data replication
replica consistency
0.112017
Spanner: Becoming a SQL System · SIGMOD Conference 2017

Methods — techniques the papers use, named apart from their topics

range extraction · 0.3query restart · 0.3
YearPublicationVenuePosition
2017 Spanner: Becoming a SQL System
abstract
Spanner is a globally-distributed data management system that backs hundreds of mission-critical services at Google. Spanner is built on ideas from both the systems and database communities. The first Spanner paper published at OSDI'12 focused on the systems aspects such as scalability, automatic sharding, fault tolerance, consistent replication, external consistency, and wide-area distribution. This paper highlights the database DNA of Spanner. We describe distributed query execution in the presence of resharding, query restarts upon transient failures, range extraction that drives query routing and index seeks, and the improved blockwise-columnar storage format. We touch upon migrating Spanner to the common SQL dialect shared with other systems at Google.
David F. Bacon, Nathan Bales, Nicolas Bruno, Brian F. Cooper, Adam Dickinson, Andrew Fikes, Campbell Fraser, Andrey Gubarev, Milind Joshi, Eugene Kogan, Alexander Lloyd, Sergey Melnik 0001, Rajesh Rao, David Shue, Marcel van der Holst, Dale Woodford
SIGMOD Conference5