Database-Agnostic Workload Management

Summary: Database‑agnostic system that frames SQL workload tasks as query‑labeling and decouples learned query representation from labeling to support multi‑tenant, multi‑dialect platforms. Replaces per‑dialect feature engineering with learned SQL embeddings, enabling off‑the‑shelf ML and empirically outperforming handcrafted features on index sampling, security user labeling, and error prediction. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: h835bc82811f2d99a
Venue: CIDR
Year: 2019
Pagerank: 6.8251711e-05
Overall Rank: 4,059 | 72.72%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Shrainik Jain (University of Washington)
2. Jiaqi Yan (Snowflake)
3. Thierry Cruanes (Snowflake)
4. Bill Howe (University of Washington)

BibTeX Citation

@inproceedings{jain_cidr19,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '19},
        title = {{Database-Agnostic Workload Management}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Jain, Shrainik and Yan, Jiaqi and Cruanes, Thierry and Howe, Bill},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
362	Bao: Making Learned Query Optimization Practical	2021	SIGMOD	0.00019989474
3,271	Estimating Cardinalities with Deep Sketches	2019	SIGMOD	7.4744941e-05
3,563	Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift	2023	SIGMOD	7.2042148e-05
4,079	Towards Dynamic and Safe Configuration Tuning for Cloud Databases	2022	SIGMOD	6.818264e-05
5,158	Facilitating SQL Query Composition and Analysis	2020	SIGMOD	6.2492918e-05
6,648	Workload Insights From The Snowflake Data Cloud: What Do Production Analytic Queries Really Look Like?	2025	VLDB	5.7215989e-05
9,396	Intelligent Automated Workload Analysis for Database Replatforming	2022	SIGMOD	5.1853705e-05

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
49	Dremel: Interactive Analysis of Web-Scale Datasets	2010	VLDB	0.00043160717
52	The Snowflake Elastic Data Warehouse	2016	SIGMOD	0.00041219077
224	Self-Driving Database Management Systems	2017	CIDR	0.00024013745
233	Amazon Redshift and the Case for Simpler Data Warehouses	2015	SIGMOD	0.00023783585
861	SnipSuggest: Context-Aware Autocompletion for SQL	2011	VLDB	0.00013402933
1,242	Compressing SQL Workloads	2002	SIGMOD	0.00011373611
2,550	SQLShare: Results from a Multi-Year SQL-as-a-Service Experiment	2016	SIGMOD	8.3121033e-05
2,883	SQL QueRIE Recommendations	2010	VLDB	7.9108916e-05
3,901	Automatic Enforcement of Data Use Policies with DataLawyer	2015	SIGMOD	6.9344377e-05
4,252	Primitives for Workload Summarization and Implications for SQL	2003	VLDB	6.7015609e-05
7,891	Oracle Workload Intelligence	2015	SIGMOD	5.4327647e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	4,781	Learned Approximate Query Processing: Make it Light, Accurate and Fast	2021	CIDR
2	2,842	Query Performance Prediction for Concurrent Queries using Graph Embedding	2020	VLDB
3	460	Query-based Workload Forecasting for Self-Driving Database Management Systems	2018	SIGMOD
4	2,981	WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases	2016	VLDB
5	6,416	A Unified Transferable Model for ML-Enhanced DBMS	2022	CIDR
6	318	DeepDB: Learn from Data, not from Queries!	2020	VLDB
7	5,158	Facilitating SQL Query Composition and Analysis	2020	SIGMOD
8	5,087	Releasing Cloud Databases from the Chains of Performance Prediction Models	2017	CIDR
9	4,468	Real-time Workload Pattern Analysis for Large-scale Cloud Databases	2023	VLDB
10	5,194	Database Workload Characterization with Query Plan Encoders	2022	VLDB