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    Characterizing, Modeling, and Benchmarking RocksDB Key-Value Workloads at Facebook

    USENIX0.0
    29 minutes
    English
    0/30 уроков (0%)
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    Characterizing, Modeling, and Benchmarking RocksDB Key-Value Workloads at Facebook

    YouTube·FAST (File and Storage Technologies)

    Explore a comprehensive analysis of RocksDB key-value workloads at Facebook in this 29-minute conference talk from USENIX FAST '20. Dive into the characterization, modeling, and benchmarking of three typical production use cases: UDB, ZippyDB, and UP2X. Discover interesting findings about key and value size distributions, access patterns, and performance metrics. Learn about the limitations of existing benchmarks like YCSB and understand the proposed key-range based modeling approach for more accurate workload emulation. Gain insights into the challenges of collecting traces in operational environments and the importance of capturing key-space localities for realistic benchmarking of key-value stores.

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