An Empirical Study on Quality Issues of eBay’s Big Data SQL Analytics Platform

Feng Zhu, Lijie Xu, Gang Ma, Shuping Ji, Jie Wang, Gang Wang, Hongyi Zhang, K. Wan, Mingming Wang, Xingchao Zhang, Yuming Wang, Jingping Li. 2022. 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP).

Read the paper · doi:10.1145/3510457.3513034

What this paper does with SQLancer

One citation, naming all three of SQLancer's original oracles: the paper notes that to detect DBMS bugs, Rigger and Su devised a series of novel approaches including PQS, NoREC and TLP. It is background for a study of an analytics platform rather than a testing paper, and nothing of SQLancer's is used or measured against. An industrial study of quality issues in eBay's big-data SQL analytics platform, characterising the defects that arise when SQL runs at that scale and what they cost the teams relying on the results. Written by claude-opus-5 from the 1 place 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; the study examines an existing platform rather than building a tester.

extends technique — no

No technique is extended; the citation names the three oracles as prior work.

compares with — no

No empirical comparison is reported; this is a study of production issues, not an evaluation.

describes as state of the art — no

The approaches are called novel, which describes their contribution rather than claiming they are the state of the art.

SQLancer publications it cites (3)

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
13	Manuel Rigger and Zhendong Su. 2020. Detecting optimization bugs in database engines via non-optimizing reference engine construction. In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conf...	sqlancer publication · NOREC
14	Manuel Rigger and Zhendong Su. 2020. Finding bugs in database systems via querypartitioning. ProceedingsoftheACMonProgrammingLanguages 4,OOPSLA (2020), 1–30.	sqlancer publication · TLP
15	Manuel Rigger and Zhendong Su. 2020. Testing database engines via pivotedquery synthesis. In 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI). 667–682.	sqlancer publication · PQS

Every place it refers to SQLancer (1)

1 sentence, 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	TodetectDBMSbugs,RiggerandSu devised a series of novel approaches, including PQS [ 15], NoRec [13] and TLP [ 14].	technique background	page 10

This page is rendered from _data/papers/paper_doi_10_1145_3510457_3513034.json, extracted from supplied pdf. 10 pages, 23 references parsed.