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PolarStore: High-Performance Data Compression for Large-Scale Cloud-Native Databases

on YouTube 16m
Talkat FAST '26 · 2026-02-24..02-26· [databases, data-engineering]

speakers

name:Qingda Hu
links:none on file
name:Xinjun Yang
links:none on file
name:Feifei Li
links:none on file
name:Junru Li
links:none on file
name:Ya Lin
links:none on file
name:Yuqi Zhou
links:none on file
name:Yicong Zhu
links:none on file
name:Junwei Zhang
links:none on file
name:Rongbiao Xie
links:none on file
name:Ling Zhou
links:none on file
name:Bin Wu
links:none on file
name:Wenchao Zhou
links:none on file

resources

video:https://youtu.be/lOe0zwJkJEI
slides:none on file

summary

PolarStore implements dual-layer compression: a software layer compresses 16 KB pages with per-page adaptive selection between LZ4 and ZSTD (default LZ4 at ~20% CPU, try both when page density >30% using a saved-bytes-per-microsecond threshold), then a CSD hardware layer compresses 4 KB blocks with byte-level indexing via a variable-length FTL. Redo logs bypass compression; a per-page log background merge cuts worst-case page reads from 5+ IOs to 2. Deployed across ~20,000 SSDs, Poly SSD2 + dual-layer reaches 3.55× compression and ~60% storage cost reduction.

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