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QPPT: Query Processing on Prefix Trees

Summary: Indexed table-at-a-time model making indexes first-class citizens via intermediate indexed tables and cooperative operators that use optimized prefix trees as the common data-exchange format. Enables low-cost index materialization and composed multi-way-select-join-group operators to accelerate complex OLAP queries, outperforming state-of-the-art in-memory column stores. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
196
Venue
CIDR
Year
2013
Pagerank
4.5410746e-05
Overall Rank
8,347 | 41.94%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
21 C-Store: A Column-oriented DBMS 2005 VLDB 0.00086087497
35 MonetDB/X100: Hyper-Pipelining Query Execution 2005 CIDR 0.00076197749
60 Efficiently Compiling Efficient Query Plans for Modern Hardware 2011 VLDB 0.00064439773
103 Making B+-Trees Cache Conscious in Main Memory 2000 SIGMOD 0.00049150032
1,050 Buffering Database Operations for Enhanced Instruction Cache Performance 2004 SIGMOD 0.00014453896
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