Compressed Key Sort and Fast Index Reconstruction
Yongsik Kwon, Cheol Ryu, Sang Kyun Cha, Arthur H. Lee, Kunsoo Park,, Bongki Moon

TL;DR
This paper introduces a key compression scheme based on distinction bits that reduces index size and accelerates index reconstruction in main-memory databases, enhancing replication and recovery processes.
Contribution
The paper presents a novel index key compression method using distinction bits, proven to preserve sorted order and improve reconstruction performance.
Findings
Average compression ratio of 2.76:1 observed in experiments
Significant performance improvements in index reconstruction
Effective use in database replication and recovery
Abstract
In this paper we propose an index key compression scheme based on the notion of distinction bits by proving that the distinction bits of index keys are sufficient information to determine the sorted order of the index keys correctly. While the actual compression ratio may vary depending on the characteristics of datasets (an average of 2.76 to one compression ratio was observed in our experiments), the index key compression scheme leads to significant performance improvements during the reconstruction of large-scale indexes. Our index key compression can be effectively used in database replication and index recovery of modern main-memory database systems.
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Taxonomy
TopicsAdvanced Data Storage Technologies · Algorithms and Data Compression · Distributed systems and fault tolerance
