50 citations · 80 across the 7 of their papers we have counts for
8 papers · 1 filter
DAGSmith: Dependency-Aware Rewriting for dbt-Style SQL Pipelines
Jie Liu, Lin Ma, Barzan Mozafari
Modern analytics is increasingly organized as recurring SQL pipelines rather than isolated SQL statements. Tools such as dbt, which have gained extreme popularity in recent years,…
BEGIN AI TRANSACTION: Semantic Isolation for Durable AI Workflows
Barzan Mozafari
An AI execution can now outlive the environment in which it began. What once fit inside one model call increasingly unfolds across pauses, retries, branches, subagents, and model-s…
GenRewrite: Query Rewriting via Large Language Models
Jie Liu, Barzan Mozafari
Query rewriting is an effective technique for refining poorly written queries before they reach the query optimizer. However, manual rewriting is not scalable, as it is prone to er…
Joins on Samples: A Theoretical Guide for Practitioners
Dawei Huang, Dong Young Yoon, Seth Pettie +1
Despite decades of research on approximate query processing (AQP), our understanding of sample-based joins has remained limited and, to some extent, even superficial. The common be…
QuickSel: Quick Selectivity Learning with Mixture Models
Yongjoo Park, Shucheng Zhong, Barzan Mozafari
Estimating the selectivity of a query is a key step in almost any cost-based query optimizer. Most of today's databases rely on histograms or samples that are periodically refreshe…
VerdictDB: Universalizing Approximate Query Processing
Yongjoo Park, Barzan Mozafari, Joseph Sorenson +1
Despite 25 years of research in academia, approximate query processing (AQP) has had little industrial adoption. One of the major causes of this slow adoption is the reluctance of…