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Chu-Ho Chang

dblp:209/0959 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—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 · 100%

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

TopicWeightPapersLastEvidence papers
Query processing and optimization › query optimization
join enumeration
0.412020
Towards Multi-way Join Aware Optimizer in SAP HANA · Proc. VLDB Endow. 2020
Query processing and optimization › query optimization › join ordering › join optimization
multiway join optimization
0.412020
Towards Multi-way Join Aware Optimizer in SAP HANA · Proc. VLDB Endow. 2020
Query processing and optimization
query optimization
0.412020
Towards Multi-way Join Aware Optimizer in SAP HANA · Proc. VLDB Endow. 2020

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

join unit construction · 0.4
YearPublicationVenuePosition
2020 Towards Multi-way Join Aware Optimizer in SAP HANA
abstract
Existing binary join based plans may be suboptimal for important, emerging applications. Typical query optimizers enumerate plans using binary joins only. In this paper, we introduce the multi-way join aware optimizer in SAP HANA. The naive way to extend the existing query optimizer to be aware of multi-way joins ( m -way joins for short) is to enumerate m -way joins on top of a traditional binary join enumeration framework. However, many different binary joins correspond to the same m -way join. Thus, unnecessary join enumerations would be required for such naive integration. To solve this problem, we introduce the new concept of an m -way join unit and explain how the construction of join units is plugged into the SAP HANA query optimizer. We also provide a series of optimizer enhancements by exploiting m -way join unit characteristics. Using TPC-H and our customer workloads, we showcase the superiority of our m -way join aware optimizer.
Sungheun Wi, Wook-Shin Han, Chu-Ho Chang
Proc. VLDB Endow.3