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Joins on Encoded and Partitioned Data

Summary: Proposes joins on compressed data by deferring decompression and performing predicates via light-weight encoding translation between join columns. Partitioned dictionaries per column enable on-the-fly payload encoding and two encoding-translation schemes; TPC-H experiments show better compression and faster joins. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10984
Venue
VLDB
Year
2014
Pagerank
6.2497031e-05
Overall Rank
5,357 | 63.25%
DOI
10.14778/2733004.2733008

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lee_vldb14,
        title = {{Joins on Encoded and Partitioned Data}},
        author = {Lee, Jae-Gil and Attaluri, Gopi and Barber, Ronald and Chainani, Naresh and Draese, Oliver and Ho, Frederick and Idreos, Stratos and Kim, Min-Soo and Lightstone, Sam and Lohman, Guy and Morfonios, Konstantinos and Murthy, Keshava and Pandis, Ippokratis and Qiao, Lin and Raman, Vijayshankar and Samy, Vincent Kulandai and Sidle, Richard and Stolze, Knut and Zhang, Liping},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {13},
        pages = {1355--1366},
        doi = {10.14778/2733004.2733008},
        url = {https://doi.org/10.14778/2733004.2733008},
        year = {2014}
}

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