Algorithms for trie compaction
ACM Transactions on Database Systems (TODS)
Variable-depth trie index optimization: theory and experimental results
ACM Transactions on Database Systems (TODS)
A fast algorithm for optimal length-limited Huffman codes
Journal of the ACM (JACM)
Query evaluation techniques for large databases
ACM Computing Surveys (CSUR)
ACM SIGMOD Record
Software—Practice & Experience
Data compression in full-text retrieval systems
Journal of the American Society for Information Science
Adding compression to a full-text retrieval system
Software—Practice & Experience
Fast algorithms for sorting and searching strings
SODA '97 Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms
The analysis of hybrid trie structures
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
The Complexity of Trie Index Construction
Journal of the ACM (JACM)
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
The implementation and performance of compressed databases
ACM SIGMOD Record
Communications of the ACM
Query optimization in compressed database systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
External memory algorithms and data structures: dealing with massive data
ACM Computing Surveys (CSUR)
Burst tries: a fast, efficient data structure for string keys
ACM Transactions on Information Systems (TOIS)
Database System Implementation
Database System Implementation
Database Management Systems
Algorithms in C
Compression and Coding Algorithms
Compression and Coding Algorithms
Compression of inverted indexes For fast query evaluation
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
A general-purpose compression scheme for large collections
ACM Transactions on Information Systems (TOIS)
AlphaSort: a cache-sensitive parallel external sort
The VLDB Journal — The International Journal on Very Large Data Bases
Text Compression for Dynamic Document Databases
IEEE Transactions on Knowledge and Data Engineering
Optimizing Main-Memory Join on Modern Hardware
IEEE Transactions on Knowledge and Data Engineering
Relational Database Compression Using Augmented Vector Quantization
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Compressing Relations and Indexes
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Database Architecture Optimized for the New Bottleneck: Memory Access
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Performance in Practice of String Hashing Functions
Proceedings of the Fifth International Conference on Database Systems for Advanced Applications (DASFAA)
Efficient trie-based sorting of large sets of strings
ACSC '03 Proceedings of the 26th Australasian computer science conference - Volume 16
External Sorting: Run Formation Revisited
IEEE Transactions on Knowledge and Data Engineering
Phrase Hierarchy Inference and Compression in Bounded Space
DCC '98 Proceedings of the Conference on Data Compression
Efficient sorting using registers and caches
Journal of Experimental Algorithmics (JEA)
External sorting with on-the-fly compression
BNCOD'03 Proceedings of the 20th British national conference on Databases
FAST: Flash-aware external sorting for mobile database systems
Journal of Systems and Software
Sorting improves word-aligned bitmap indexes
Data & Knowledge Engineering
Proceedings of the VLDB Endowment
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Hi-index | 0.00 |
External sorting of large files of records involves use of disk space to store temporary files, processing time for sorting, and transfer time between CPU, cache, memory, and disk. Compression can reduce disk and transfer costs, and, in the case of external sorts, cut merge costs by reducing the number of runs. It is therefore plausible that overall costs of external sorting could be reduced through use of compression.In this paper, we propose new compression techniques for data consisting of sets of records. The best of these techniques, based on building a trie of variable-length common strings, provides fast compression and decompression and allows random access to individual records. We show experimentally that our trie-based compression leads to significant reduction in sorting costs; that is, it is faster to compress the data, sort it, and then decompress it than to sort the uncompressed data. While the degree of compression is not quite as great as can be obtained with adaptive techniques such as Lempel-Ziv methods, these cannot be applied to sorting. Our experiments show that, in comparison to approaches such as Huffman coding of fixed-length substrings, our novel trie-based method is faster and provides greater size reductions.