Publication
SYSTOR 2022
Conference paper

Evaluating compressed indexes in DBMS

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Abstract

In-memory database management systems (DBMSs) are an essential part of real-world applications. They store their entire data in memory, and thus their performance is much higher than standard DBMS that uses slow block-based storage. The memory footprint is the essential resource in such systems, while the database indexes consume a large portion of the memory and can reach up to 50% of total memory consumption [2].

Date

05 Jun 2022

Publication

SYSTOR 2022

Authors

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