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ISTC-CC Abstract
Succinct: Enabling Queries on Compressed Data
Proceedings of the 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI’15), Oakland, CA, May 2015.
Rachit Agarwal, Anurag Khandelwal, 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.
FULL PAPER: pdf
