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Integrating Compression and Execution in Column-Oriented Database Systems報告

以列為導向的方式儲存資料大大增加磁碟上相鄰記錄的相似性和用於壓縮的機會。壓縮許多相鄰元組,可以同時降低每一元組成本和CPU和空間開銷。本文討論瞭如何用壓縮子系統擴充套件C-Store(面向列的資料庫系統)。我們展示了面向列的資料庫系統的壓縮方案。然後,我們評估一套壓縮方案,並表明最佳方案不僅取決於資料的屬性,而且取決於查詢負載的性質。

列式資料庫系統資料壓縮特點

In summary, this paper shows that significant database performance gains can be had by implementing light-weight

compression schemes and operators that work directly on compressed data. 

本文展示了 通過對壓縮的資料進行輕量級的壓縮方案和操作,將會使資料庫獲得良好的收益。根據一系列的基礎屬性,我們把壓縮方案進行了歸類,使我們能夠直接擴充套件C-Store(面向列的資料庫),而不用再針對每一組壓縮方案新增額外的程式碼。此外,我們專注於列式儲存的資料壓縮,使我們證明了 列式儲存的壓縮後的資料 比 行式壓縮後的資料 效能更好。


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