Anti-Caching in Main Memory Database Systems Justin DeBrabant Brown University

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Presentation transcript:

Anti-Caching in Main Memory Database Systems Justin DeBrabant Brown University

A bit of history…

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

ApplicationApplication Primary Storage Buffer Pool

Change is Good source:

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

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

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

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

ApplicationApplication Anti-CacheAnti-Cache Primary Storage

YCSB, Update-Heavy, data > memory 15x

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

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

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

Questions? hstore.cs.brown.edu