Fine-grained partitioning for aggressive data skipping

SIGMOD Conference, pp. 1115-1126, 2014.

Cited by: 71|Bibtex|Views96|DOI:https://doi.org/10.1145/2588555.2610515
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Modern query engines are increasingly being required to process enormous datasets in near real-time. While much can be done to speed up the data access, a promising technique is to reduce the need to access data through data skipping. By maintaining some metadata for each block of tuples, a query may skip a data block if the metadata indi...More

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