Code generation for efficient query processing in managed runtimes
Summary: Code-generation-based query compilation in managed runtimes accelerates in-memory object queries under language-integrated query (C#/LINQ), exploring multiple strategies. Demonstrates sizable speedups over LINQ and argues for DB-inspired techniques in managed runtimes to enable transparent, single-language in-memory data processing. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Fabian Nagel (University of Edinburgh)
- 2. Gavin Bierman (Oracle)
- 3. Stratis D. Viglas (University of Edinburgh)
BibTeX Citation
@article{nagel_vldb14,
title = {{Code generation for efficient query processing in managed runtimes}},
author = {Nagel, Fabian and Bierman, Gavin and Viglas, Stratis D.},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {12},
pages = {1095--1106},
doi = {10.14778/2732977.2732981},
url = {https://doi.org/10.14778/2732977.2732981},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,756 | How to Architect a Query Compiler | 2016 | SIGMOD | 9.7053947e-05 |
| 2,147 | Quickstep: A Data Platform Based on the Scaling-Up Approach | 2018 | VLDB | 8.9595129e-05 |
| 2,248 | Cache-Efficient Aggregation: Hashing Is Sorting | 2015 | SIGMOD | 8.7484225e-05 |
| 9,636 | Language-Agnostic Integrated Queries in a Managed Polyglot Runtime | 2021 | VLDB | 5.1354243e-05 |
| 9,785 | PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development | 2018 | SIGMOD | 5.115551e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 14 | MonetDB/X100: Hyper-Pipelining Query Execution | 2005 | CIDR | 0.00063972112 |
| 21 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.00056737487 |
| 35 | Hekaton: SQL Server’s Memory-Optimized OLTP Engine | 2013 | SIGMOD | 0.00047937476 |
| 157 | OLTP Through the Looking Glass, and What We Found There | 2008 | SIGMOD | 0.00028244257 |
| 295 | LINQ: Reconciling Objects, Relations and XML in the .NET Framework | 2006 | SIGMOD | 0.00021876398 |
| 408 | DBToaster: Higher-order Delta Processing for Dynamic, Frequently Fresh Views | 2012 | VLDB | 0.00018836656 |
| 979 | Incremental Query Evaluation in a Ring of Databases | 2010 | PODS | 0.00012697012 |
| 4,231 | Optimizing I/O for Big Array Analytics | 2012 | VLDB | 6.7050212e-05 |
| 4,985 | Avalanche-Safe LINQ Compilation | 2010 | VLDB | 6.3150185e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 21 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB |
| 2 | 3,997 | Designing an Open Framework for Query Optimization and Compilation | 2022 | VLDB |
| 3 | 12,923 | Language-Integrated Querying of XML Data in SQL Server | 2008 | VLDB |
| 4 | 7,143 | Hosting the .NET Runtime in Microsoft SQL Server | 2004 | SIGMOD |
| 5 | 4,544 | Just-in-time compilation for SQL query processing | 2013 | VLDB |
| 6 | 8,701 | Adaptive Code Generation for Data-Intensive Analytics | 2021 | VLDB |
| 7 | 5,475 | Evolution of a Compiling Query Engine | 2021 | VLDB |
| 8 | 1,756 | How to Architect a Query Compiler | 2016 | SIGMOD |
| 9 | 4,985 | Avalanche-Safe LINQ Compilation | 2010 | VLDB |
| 10 | 9,636 | Language-Agnostic Integrated Queries in a Managed Polyglot Runtime | 2021 | VLDB |