Using query semantic and feature transfer fusion to enhance cardinality estimating of property graph queries

Zhenzhen He, Tiquan Gu, Jiong Yu. 2024. Displays (Guildford).

Read the paper · doi:10.1016/j.displa.2024.102854

What this paper does with SQLancer

The connection is a single background citation in the opening sentence on cardinality estimation, reachable only through the citation marker -- SQLancer is never named. The paper's subject is estimation accuracy rather than testing, and neither the tool nor any of its oracles plays a role in the work. This paper estimates the cardinality of property graph queries by fusing query semantics with transferred features, so that a model trained on one workload informs estimates for another. Accurate cardinality estimation is what keeps a query planner's cost estimates close to reality. Written by claude-opus-5 from the 2 places this paper refers to SQLancer. The quotations below are the paper's own words, stored verbatim when the text was extracted.

How it was classified

uses infrastructure — no

SQLancer is cited as related work; no reuse of its code, generator or workload is described.

extends technique — no

No SQLancer technique is extended; the citation is background.

compares with — no

No empirical comparison against SQLancer or one of its oracles is reported.

describes as state of the art — no

The text does not describe SQLancer as the state of the art.

SQLancer publications it cites (1)

Bibliography entries that resolved to a SQLancer publication, or to a paper by one of the project's authors. A sentence citing one of these numbers is a reference to SQLancer even when it never writes the name.

#	Entry	Matched as
1	J. Ba, M. Rigger, CERT: Finding Performance Issues in Database Systems Through the Lens of Cardinality Estimation, in: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering, 2024, pp. 1–13.	sqlancer publication · CERT

Every place it refers to SQLancer (2)

2 sentences, each stored verbatim from the extracted text with where it was found and how. “Citation marker” means the sentence names no tool at all and was reached through a reference number that resolved to a SQLancer publication.

Id	Sentence	Found by	Where
M1	Introduction Cardinality estimation [1–3]is one of the important factors affecting the accuracy of query cost estimation results, and accurate estimation results can avoid large estimation errors.	citation marker background	page 1
M2	For the property value v, it can be normalized to [0,1] according to the maximum value vmax and minimum value vmin in different property keys, where the normalization method is: vnor=v vmin vmax vmin# (3) Fig.	citation marker incidental	page 5

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