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Database Cracking

Summary: Presents database cracking: adaptive, incremental reorganization of columnar data during query execution to build partial indexes on‑the‑fly by partitioning data per predicate. Integrated into an RDBMS with minimal kernel changes, enabling self‑organizing, low‑overhead indexing that adapts to shifting workloads and influences optimizer plans. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
61
Venue
CIDR
Year
2007
Pagerank
0.00023119313
Overall Rank
259 | 98.23%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{idreos_cidr07,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '07},
        title = {{Database Cracking}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Idreos, Stratos and Kersten, Martin L. and Manegold, Stefan},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 102 citing papers.

Rank Citing Paper Year Venue Pagerank
11,989 Alpine: Efficient In situ Data Exploration in the Presence of Updates 2017 SIGMOD 5.093636e-05
12,357 No Bits Left Behind 2011 CIDR 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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