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can’t be allocated on the stack, because the stack frame for extract

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Git packfiles use delta compression, storing only the diff when a 10MB file changes by one line, while the objects table stores each version in full. A file modified 100 times takes about 1GB in Postgres versus maybe 50MB in a packfile. Postgres does TOAST and compress large values, but that’s compressing individual objects in isolation, not delta-compressing across versions the way packfiles do, so the storage overhead is real. A delta-compression layer that periodically repacks objects within Postgres, or offloads large blobs to S3 the way LFS does, is a natural next step. For most repositories it still won’t matter since the median repo is small and disk is cheap, and GitHub’s Spokes system made a similar trade-off years ago, storing three full uncompressed copies of every repository across data centres because redundancy and operational simplicity beat storage efficiency even at hundreds of exabytes.

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"We did share last quarter that memory and storage costs made up roughly 15 percent to 18 percent of our PC bill of materials, and we now currently estimate this to be roughly 35 percent for the year," said CFO Karen Parkhill on the company's latest earnings call. She also confirmed that part of the company's response will be price increases. Samsung similarly warned of potential price increases due to AI-induced memory shortages.

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