Applications and Challenges for Large Language Models: From Data Management Perspective

Meihui Zhang, Zhaoxuan Ji, Zhaojing Luo, Yuncheng Wu, Chengliang Chai. 2024. IEEE International Conference on Data Engineering.

Read the paper · doi:10.1109/icde60146.2024.00441

What this paper does with SQLancer

The citation supports two sentences about what DBMS testing requires: that comprehensive bug detection needs a large volume of SQL queries fed to the system, and that finding logic bugs specifically requires generating semantically equivalent queries that should return the same results. Both are reachable only through the citation marker, and neither names SQLancer or uses anything of it. A vision paper on where large language models fit into data management, surveying applications across the field and the challenges each raises. DBMS testing appears as one such application. 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
20	M. Rigger and Z. Su, “Testing database engines via pivoted query synthesis,” in USENIX Symposium on Operating Systems Design and Implementation, 2020, pp. 667–682.	sqlancer publication · PQS

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	For example, to comprehensively detect the bugs of DBMS, it is important to feed the database with ahuge number of SQL queries [20].	citation marker background	II APPLICA TIONS OFLLM SI NDATA MANAGEMENT page 2
M2	Meanwhile, to detect the logic bugs of DBMS, weneed to generate some SQL queries with semantic equivalence,which produce the same results [20].	citation marker background	II APPLICA TIONS OFLLM SI NDATA MANAGEMENT page 2

This page is rendered from _data/papers/paper_doi_10_1109_icde60146_2024_00441.json, extracted from supplied pdf. 12 pages, 95 references parsed.