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Succinct: Enabling Queries on Compressed Data
Rachit Agarwal, Anurag Khandelwal, and Ion Stoica, University of California, Berkeley
Succinct is a data store that enables efficient queries directly on a compressed representation of the input data. Succinct uses a compression technique that allows random access into the input, thus enabling efficient storage and retrieval of data. In addition, Succinct natively supports a wide range of queries including count and search of arbitrary strings, range and wildcard queries. What differentiates Succinct from previous techniques is that Succinct supports these queries without storing indexes — all the required information is embedded within the compressed representation.
Evaluation on real-world datasets show that Succinct requires an order of magnitude lower memory than systems with similar functionality. Succinct thus pushes more data in memory, and provides low query latency for a larger range of input sizes than existing systems.
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author = {Rachit Agarwal and Anurag Khandelwal and Ion Stoica},
title = {Succinct: Enabling Queries on Compressed Data},
booktitle = {12th USENIX Symposium on Networked Systems Design and Implementation (NSDI 15)},
year = {2015},
isbn = {978-1-931971-218},
address = {Oakland, CA},
pages = {337--350},
url = {https://www.usenix.org/conference/nsdi15/technical-sessions/presentation/agarwal},
publisher = {USENIX Association},
month = may
}
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