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• W3094631985 abstract "LSM-tree based key-value (KV) stores organize data in a multi-level structure for high-speed writes. Range queries on traditional LSM-trees must seek and sort-merge data from multiple table files on the fly, which is expensive and often leads to mediocre read performance. To improve range query efficiency on LSM-trees, we introduce a space-efficient KV index data structure, named REMIX, that records a globally sorted view of KV data spanning multiple table files. A range query on multiple REMIX-indexed data files can quickly locate the target key using a binary search, and retrieve subsequent keys in sorted order without key comparisons. We build RemixDB, an LSM-tree based KV-store that adopts a write-efficient compaction strategy and employs REMIXes for fast point and range queries. Experimental results show that REMIXes can substantially improve range query performance in a write-optimized LSM-tree based KV-store." @default.
• W3094631985 created "2020-10-29" @default.
• W3094631985 creator A5003578876 @default.
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• W3094631985 date "2020-10-23" @default.
• W3094631985 modified "2023-09-27" @default.
• W3094631985 title "REMIX: Efficient Range Query for LSM-trees" @default.
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• W3094631985 doi "https://doi.org/10.48550/arxiv.2010.12734" @default.
• W3094631985 hasPublicationYear "2020" @default.
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