Towards Unifying Query Interpretation and Compilation
Summary: Positions unifying vectorized interpretation (developer-friendly) and query compilation (better locality and runtime performance but high startup latency and system complexity) as key for modern execution engines. Discusses two fundamental barriers: startup overhead and engineering complexity. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Philipp M. Grulich (Technical University of Berlin)
- 2. Aljoscha Lepping (Technical University of Berlin)
- 3. Dwi Prasetyo Adi Nugroho (Technical University of Berlin)
- 4. Bonaventura Del Monte (Technical University of Berlin)
- 5. Varun Pandey (Technical University of Berlin)
- 6. Steffen Zeuch (German National Research Center for Information Technology; Technical University of Berlin)
- 7. Volker Markl (German National Research Center for Information Technology; Technical University of Berlin)
BibTeX Citation
@inproceedings{grulich_cidr23,
address = {Amsterdam, Netherlands},
series = {{CIDR} '23},
title = {{Towards Unifying Query Interpretation and Compilation}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Grulich, Philipp M. and Lepping, Aljoscha and Nugroho, Dwi Prasetyo Adi and Del Monte, Bonaventura and Pandey, Varun and Zeuch, Steffen and Markl, Volker},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,255 | Showcasing Data Management Challenges for Future IoT Applications with NebulaStream | 2023 | VLDB | 5.5725581e-05 |
| 10,304 | Data Chunk Compaction in Vectorized Execution | 2025 | SIGMOD | 5.0400722e-05 |
| 11,521 | Fault Tolerance Placement in the Internet of Things | 2024 | SIGMOD | 4.9793485e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 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 | 0.00064031282 |
| 21 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.00056855599 |
| 1,487 | Photon: A Fast Query Engine for Lakehouse Systems | 2022 | SIGMOD | 0.00010521722 |
| 5,230 | Babelfish: Efficient Execution of Polyglot Queries | 2022 | VLDB | 6.2189001e-05 |
| 5,343 | The NebulaStream Platform: Data and Application Management for the Internet of Things | 2020 | CIDR | 6.1708665e-05 |
| 6,441 | Grizzly: Efficient Stream Processing Through Adaptive Query Compilation | 2020 | SIGMOD | 5.7834762e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 9,472 | Query Compilation Without Regrets | 2024 | SIGMOD |
| 2 | 5,719 | Accelerating Python UDFs in Vectorized Query Execution | 2022 | CIDR |
| 3 | 21 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB |
| 4 | 8,207 | Architecting a Query Compiler for Spatial Workloads | 2020 | SIGMOD |
| 5 | 5,543 | Charting the Design Space of Query Execution using VOILA | 2021 | VLDB |
| 6 | 2,419 | How to Architect a Query Compiler, Revisited | 2018 | SIGMOD |
| 7 | 4,525 | Just-in-time compilation for SQL query processing | 2013 | VLDB |
| 8 | 1,742 | How to Architect a Query Compiler | 2016 | SIGMOD |
| 9 | 5,455 | Evolution of a Compiling Query Engine | 2021 | VLDB |
| 10 | 605 | Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask | 2018 | VLDB |