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Accelerating Analytics with Dynamic In-Memory Expressions

Summary: Dynamic In-Memory Expressions (DIMEs) automatically detect frequent expressions and cache their results in the in-memory column store. Queries access DIMEs to bypass evaluation, avoiding precomputed columns and views while preserving DBIM optimizations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11253
Venue
VLDB
Year
2016
Pagerank
4.2559233e-05
Overall Rank
9,898 | 31.21%
DOI
-

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Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
20 C-Store: A Column-oriented DBMS 2005 VLDB 0.00086163998
1,787 MonetDB/XQuery: A Fast XQuery Processor Powered by a Relational Engine 2006 SIGMOD 0.00010543821
1,810 SQL Memory Management in Oracle9i 2002 VLDB 0.00010471365
2,780 JSON Data Management – Supporting Schema-less Development in RDBMS 2014 SIGMOD 8.1307901e-05
2,793 The Oracle Universal Server Buffer Manager 1997 VLDB 8.1179265e-05
5,184 Query Optimization in Oracle 12c Database In-Memory 2015 VLDB 5.6360141e-05
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