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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
0.00023953844
Overall Rank
408 | 97.17%
DOI
-

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Rank Citing Paper Year Venue Pagerank
12,161 No Bits Left Behind 2011 CIDR 4.1945683e-05
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