mirror of
https://github.com/hanzoai/s3.git
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zooqueen
dd74d3e6d6
hanzoai/s3 was an AGPL-3.0 MinIO fork whose network-copyleft blocks embedding
and reselling as a managed service. Replace it wholesale with a fork of
SeaweedFS (github.com/seaweedfs/seaweedfs, Apache-2.0, Go) which ships a
built-in S3 gateway + Filer.
- License: AGPL-3.0 -> Apache-2.0 (upstream LICENSE kept verbatim, incl.
"Copyright 2025 Chris Lu"); NOTICE added crediting SeaweedFS. No AGPL/BUSL/
SSPL/GPL or enterprise ("ee") files remain.
- Module: go.mod path set to github.com/hanzoai/s3 with a self-replace
(replace github.com/seaweedfs/seaweedfs => ./) so the ~1800 internal Go files
keep their upstream import paths with zero churn. Internal identifiers and
import paths are intentionally NOT renamed.
- CLI rebrand: the binary is built as `s3` (was `weed`); root usage, per-command
help/usage/flag strings, shell autocomplete program name, and the product name
in CLI output now read "Hanzo S3" / `s3`. Users never see `weed`.
(e.g. `s3 server`, `s3 filer`, `s3 master`, `s3 volume`, `s3 s3`, `s3 mount`.)
- Build: `make` (or `go build -o s3 ./weed`) builds the `s3` binary green;
`cmd/weed-db` and `cmd/weed-sql` also build; `go vet ./weed/command/` clean.
- README/LLM.md rewritten for Hanzo S3; AGENTS.md/CLAUDE.md symlinks preserved.
- Dropped a 33MB prebuilt Mach-O `stress` binary upstream had committed; `.gitignore`
updated to ignore the `s3` build output.
53 lines
1.5 KiB
Python
53 lines
1.5 KiB
Python
#!/usr/bin/env python3
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# Raw filesystem microbenchmark in one directory. Prints TSV: METRIC<TAB>value<TAB>unit
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# SEQWRITE MB/s (512MB stream + final fsync)
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# FSYNC ops/s (500 x: pwrite 4KB at random offset in a 64MB file, then fsync)
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# SEQREAD MB/s (read the 512MB file back; warm cache)
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import sys, os, time, random
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d = sys.argv[1]
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os.makedirs(d, exist_ok=True)
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big = os.path.join(d, "fsb_big.bin")
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sm = os.path.join(d, "fsb_sync.bin")
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# SEQWRITE 512MB + fsync
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n = 512 * 1024 * 1024
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buf = os.urandom(8 * 1024 * 1024)
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t = time.time(); f = open(big, "wb"); w = 0
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while w < n:
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f.write(buf); w += len(buf)
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f.flush(); os.fsync(f.fileno()); f.close()
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dt = time.time() - t
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print(f"SEQWRITE\t{w/1048576/dt:.0f}\tMB/s")
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# FSYNC latency: 500 x (pwrite 4KB random offset + fsync) on a 64MB file
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fd = os.open(sm, os.O_RDWR | os.O_CREAT, 0o644)
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os.ftruncate(fd, 64 * 1024 * 1024)
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os.fsync(fd)
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page = os.urandom(4096)
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N = 500
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rnd = random.Random(12345)
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t = time.time()
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for _ in range(N):
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off = rnd.randrange(0, 64 * 1024 * 1024 - 4096) & ~0xfff
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os.pwrite(fd, page, off)
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os.fsync(fd)
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dt = time.time() - t
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os.close(fd)
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print(f"FSYNC\t{N/dt:.0f}\tops/s")
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print(f"FSYNCLAT\t{dt/N*1000:.2f}\tms")
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# SEQREAD (warm)
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t = time.time(); tot = 0
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with open(big, "rb") as f:
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while True:
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b = f.read(8 * 1024 * 1024)
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if not b: break
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tot += len(b)
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dt = time.time() - t
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print(f"SEQREAD\t{tot/1048576/dt:.0f}\tMB/s")
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for p in (big, sm):
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try: os.remove(p)
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except OSError: pass
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