We present a novel query rewriting method to make analytic queries use the information stored in metagranules. We also describe our proof-of-concept ...
We present a novel query rewriting method to make analytic queries use the information stored in metagranules. We also describe our proof-of-concept ...
Abstract. Analytical database queries are exceptionally time consum- ing. Decision support systems employ various execution techniques in.
This article presents a novel query rewriting method to make analytic queries use the information stored in metagranules, and proposes a cost model that ...
Abstract. Analytic database queries are exceptionally time consuming. Decision support systems employ various execution techniques in order to accelerate ...
The goal of data coordination is to update a contingent source, C, based on changes to an independently maintained base source, B. This paper introduces a data ...
When a query is posed, the actual aggregation level will be determined and the smallest fit metagranule (materialized aggregation) will be used instead of the ...
In this paper we present the proposed optimization method based on metagranular indices. ... Winiewski, P., Stencel, K.: Query rewriting based on meta-granular ...
People also ask
How does query rewriting work?
May 18, 2022 · Using GROUP BY on columns that don't need to be aggregated can really hamper performance, and can result in substantially higher reads.
Oct 18, 2022 · It's best to test what granularity gives the best performance on your setup. You can even test sub-partioning, giving each store_record.