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PostgreSQL backup manager with BTRFS block-level deduplication

Hacker News

PostgreSQL backup manager with BTRFS block-level deduplication

I wrote BTRFS block level de-duplication sometime in 2020 as use-case for a patch sent in 2015 https://stackoverflow.com/a/34163236 and now after 6 more years created an use-case for dduper via pgdedup! How it works? Consecutive pg_basebackup snapshots share most of their blocks. Store them uncompressed on BTRFS and let dduper deduplicate it. Interestingly: - gzip completely breaks block-level dedup. Two pg_basebackup -z runs of the same database produce < 1% matching blocks. - Chunk size matters hugely. dduper's default 128KB chunks only found 19% savings. Lowering to 8KB (PostgreSQL's page size) jumped to 68%.

Visit product View on Hacker NewsMar 24, 2026

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Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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