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Curtis Johnson

dblp:24/7117 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

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
Query processing and optimization · 70% Distributed and cloud data management · 23% Database system architecture and tuning · 7%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Query processing and optimization › query optimization
cost-based optimization
0.112009
Ordering, distinctness, aggregation, partitioning and DQP optimization in sybase ASE 15 · SIGMOD Conference 2009
Distributed and cloud data management
distributed query processing
0.112009
Ordering, distinctness, aggregation, partitioning and DQP optimization in sybase ASE 15 · SIGMOD Conference 2009
Query processing and optimization › aggregate query processing
eager aggregation
0.112009
Ordering, distinctness, aggregation, partitioning and DQP optimization in sybase ASE 15 · SIGMOD Conference 2009
Query processing and optimization
query optimization
0.112009
Ordering, distinctness, aggregation, partitioning and DQP optimization in sybase ASE 15 · SIGMOD Conference 2009
Database system architecture and tuning
parallel database system
0.012009
Ordering, distinctness, aggregation, partitioning and DQP optimization in sybase ASE 15 · SIGMOD Conference 2009

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

plan fragment equivalence classes · 0.1cost-based optimization · 0.1
YearPublicationVenuePosition
2009 Ordering, distinctness, aggregation, partitioning and DQP optimization in sybase ASE 15
abstract
The Sybase ASE RDBMS version 15 was subject to major enhancements, including semantic partitions and a full QP rewrite. The new ASE QP supports horizontal and vertical parallel processing over semantically partitioned tables, and many other modern QP techniques, as cost-based eager aggregation and cost-based join relocation DQP. In the new query optimizer, the ordering, distinctness, aggregation, partitioning, and DQP optimizations were based on a common framework: plan fragment equivalence classes and logical properties. Our main outcomes are a) an eager enforcement policy for ordering, partitioning and DQP location; b) a distinctness and aggregation optimization policy, opportunistically based on the eager ordering enforcement, and which has an optimization-time computational complexity similar to join processing; c) support for the user to force all of the above optimizer decisions, still guaranteeing a valid plan, based on the Abstract Plan technology. We describe the implementation of this solution in the ASE 15 optimizer. Finally, we give our experimental results: the generation of such complex plans comes with a small increase of the optimizer's SS size, hence within an acceptable optimization time; at execution, we have obtained performance improvements of orders of magnitude for some queries.
Mihnea Andrei, Xun Cheng, Sudipto Chowdhuri, Curtis Johnson, Edwin Seputis
SIGMOD Conference4