Anti-Caching in Main Memory Database Systems

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Presentation transcript:

Anti-Caching in Main Memory Database Systems Justin DeBrabant Brown University debrabant@cs.brown.edu

A bit of history…

1974 – System R query optimization recovery transaction serialization lots of locks

Application Buffer Pool Primary Storage

Change is Good source: http://www.archivebuilders.com/whitepapers/22045p.pdf

Great, that’s what the buffer pool is for...right?

OLTP Through the Looking Glass, and What We Found There SIGMOD ‘08, pp. 981-992, 2008.

What to do with all this memory? Application Consistent? Updates? Writes?

Transaction Processing System Parallel Main Memory Transaction Processing System H-Store: A High-Performance, Distributed Main Memory Transaction Processing System VLDB 2008.

YCSB, Update-Heavy, data < memory

<

Anti-Caching in H-Store Memory becomes primary storage for “hot” data “Cold” data is evicted to disk in blocks, fetched when requested by a transaction Still no locks/latches

Application Primary Storage Anti-Cache

YCSB, Update-Heavy, data > memory 15x

The New Traditional Wisdom > + Anti- Caching + Buffer Pool

Future Work Alternative eviction strategies Larger-than-memory queries New hardware flash, persistent memory

The Team Justin DeBrabant (Brown) Andy Pavlo (Brown) Stephen Tu (MIT) Mike Stonebraker (MIT) Stan Zdonik (Brown) Anti-Caching: A New Approach to Database Management System Architecture In Preparation.

Questions? debrabant@cs.brown.edu hstore.cs.brown.edu