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arXiv:2209.00220 (cs)
[Submitted on 1 Sep 2022]

Title:ByteStore: Hybrid Layouts for Main-Memory Column Stores

Authors:Pengfei Zhang, Ziqiang Feng, Eric Lo, Hailin Qin
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Abstract:The performance of main memory column stores highly depends on the scan and lookup operations on the base column layouts. Existing column-stores adopt a homogeneous column layout, leading to sub-optimal performance on real workloads since different columns possess different data characteristics. In this paper, we propose ByteStore, a column store that uses different storage layouts for different columns. We first present a novel data-conscious column layout, PP-VBS (Prefix-Preserving Variable Byte Slice). PP-VBS exploits data skew to accelerate scans without sacrificing lookup performance. Then, we present an experiment-driven column layout advisor to select individual column layouts for a workload. Extensive experiments on real data show that ByteStore outperforms homogeneous storage engines by up to 5.2X.
Comments: 13 pages, 15 figures
Subjects: Databases (cs.DB)
Cite as: arXiv:2209.00220 [cs.DB]
  (or arXiv:2209.00220v1 [cs.DB] for this version)
  https://doi.org/10.48550/arXiv.2209.00220

Submission history

From: Pengfei Zhang [view email]
[v1] Thu, 1 Sep 2022 04:36:39 UTC (9,469 KB)
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