ByteStore: Hybrid Layouts for Main-Memory Column Stores

2022 IEEE International Conference on Big Data (Big Data)(2022)

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摘要
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 and corresponding encoding methods for different columns. Extensive experiments show that ByteStore outperforms homogeneous storage engines by up to 5.2×.
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关键词
hybrid layouts,main-memory
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