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1
Introduction
2
Research Topic
3
Research Area
4
Challenges
5
Methodology
6
Benchmarking
7
Production Use Cases
8
User Profile Use Case
9
Correct Conversation
10
Column Families
11
UDP Column Families
12
KeySize Variation
13
KeySize Distribution
14
CDLCDF
15
Intensive Needs
16
Access Count
17
Use Case
18
Heat Map
19
Storage Isles
20
Data Capture
21
Results
22
Heatmap
23
Key Ranges
24
Final Results
25
Conclusion
26
Use Cases
27
Weiss SP
28
Future Improvements
29
Ads
30
Replay
Description:
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.

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

USENIX
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