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BigBucket Cache, Texas Edition and Breaking the Sound Barrier with Persistent Memory

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Published on Jul 27, 2016

Viplava Madasu (HPE) and Michael Stack (Cloudera) / Liqi Yi and Shylaja Kokoori (Intel)

Part 1:
HBase read performance is important for HPE and Cloudera customers. As such, to fully take advantage of hardware capabilities, HBase BucketCache needs to perform and scale well. This talk covers adventures in BucketCache internals on the way to reaching 4 million ops (YCSB Workload C) in a 4U rack space.
Part 2:
A fully optimized HBase cluster could easily hit the limit of the underlying storage device’s capability, which is beyond the reach of software optimization alone. To get around this constraint, we need a new design that brings data processing and data storage closer together. In this presentation, we will look at how persistent memory will change the way large datasets are stored. We will review the hardware characteristics of 3D XPoint™, a new persistent memory technology with low latency and high capacity. We will also discuss opportunities for further improvement within the HBase framework using persistent memory.

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