Shared Arrangements: practical inter-query sharing for streaming dataflows
Summary: Introduces shared arrangements: reusable indexed maintained state across concurrent incremental streaming queries, avoiding redundant per-query state and cold-start rebuilding. Demonstrates order-of-magnitude gains in response time and resource use while retaining data-parallel scalability. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Frank McSherry (Materialize)
- 2. Andrea Lattuada (ETH Zurich)
- 3. Malte Schwarzkopf (Brown University)
- 4. Timothy Roscoe (ETH Zurich)
BibTeX Citation
@article{mcsherry_vldb20,
title = {{Shared Arrangements: practical inter-query sharing for streaming dataflows}},
author = {McSherry, Frank and Lattuada, Andrea and Schwarzkopf, Malte and Roscoe, Timothy},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {10},
pages = {1793--1806},
doi = {10.14778/3401960.3401974},
url = {https://doi.org/10.14778/3401960.3401974},
year = {2020}
}
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