ByteStore: Hybrid Layouts for Main-Memory Column Stores
2022 IEEE International Conference on Big Data (Big Data)(2022)
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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