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Christian Duta

dblp:248/8206 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2020
0000-0002-8652-2111ORCID · verified

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

Databases, data management, data science and information retrieval · 2 · 2 first-author

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 · 100%
Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 100%

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

TopicWeightPapersLastEvidence papers
Query processing and optimization
query compilation
0.412020
Functional-Style SQL UDFs With a Capital 'F' · SIGMOD Conference 2020
Query processing and optimization
user-defined functions
0.412020
Functional-Style SQL UDFs With a Capital 'F' · SIGMOD Conference 2020
Programming languages and type systems
functional programming
0.112020
Functional-Style SQL UDFs With a Capital 'F' · SIGMOD Conference 2020

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

tail recursion · 0.9reference counting · 0.9memoization · 0.9
YearPublicationVenuePosition
2020 Compiling PL/SQL Away
Christian Duta, Denis Hirn, Torsten Grust
CIDR1
2020 Functional-Style SQL UDFs With a Capital 'F'
abstract
We advocate to express complex in-database computation using a functional style in which SQL UDFs use plain self-invocation to recurse. The resulting UDFs are concise and readable, but their run time performance on contemporary RDBMSs is sobering. This paper describes how to compile such functional-style UDFs into SQL:1999 recursive common table expressions. We build on function call graphs to build the compiler's core and to realize a series of optimizations (reference counting, memoization, exploitation of linear and tail recursion). The compiled UDFs evaluate efficiently, challenging the performance of manually tweaked (but often convoluted) SQL code. SQL UDFs can indeed be functional and fast.
Christian Duta, Torsten Grust
SIGMOD Conference1