Fragment Allocations for Partially Replicated Databases Considering Data Modifications and Changing Workloads

Columnar database systems can process complex mixed workloads on a single node. In case of increasing and peak analytical processing demand, we can offload read-only queries to replicas. Partial replication, i.e., duplicating only data subsets to additional nodes, is more cost-efficient than full replication for two primary reasons: (i) Partial replicas require less storage and can be set up faster. (ii) Partial replicas must synchronize only stored data subsets, allowing better scalability. However, determining which queries to offload is challenging for larger workloads because queries access overlapping data subsets and cause synchronization costs.

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Published
2024-10-20
DOI
https://doi.org/10.1145/3627673.3679767
Primary Topic
Advanced Database Systems and Queries
Type
article
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article

Fragment Allocations for Partially Replicated Databases Considering Data Modifications and Changing Workloads

Stefan Halfpap, Rainer Schlößer
Advanced Database Systems and Queries
article

Fragment Allocations for Partially Replicated Databases Considering Data Modifications and Changing Workloads

Stefan Halfpap, Rainer Schlößer
article en

Abstract

Columnar database systems can process complex mixed workloads on a single node. In case of increasing and peak analytical processing demand, we can offload read-only queries to replicas. Partial replication, i.e., duplicating only data subsets to additional nodes, is more cost-efficient than full replication for two primary reasons: (i) Partial replicas require less storage and can be set up faster. (ii) Partial replicas must synchronize only stored data subsets, allowing better scalability. However, determining which queries to offload is challenging for larger workloads because queries access overlapping data subsets and cause synchronization costs.

Hasso Plattner Institute (DE), Technische Universität Berlin (DE)
Openalex Percentile: Top 79%
Advanced Database Systems and Queries
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