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.
52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
#!/usr/bin/env python3
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# SQLite performance probe at one db path. Prints TSV: METRIC<TAB>secs<TAB>rate
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# LOAD : bulk-load <rows> rows (4096B incompressible payload) in <batch>-row txns
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# OLTP : <oltp> single-row INSERTs, each its own fsync'd autocommit txn -> tx/s
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# SCAN : full table scan reading every payload (warm) -> MB/s
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# journal=DELETE, synchronous=FULL (durable: fsync per commit).
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import sys, os, sqlite3, time, random
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db = sys.argv[1]
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rows = int(sys.argv[2])
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batch = int(sys.argv[3])
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oltp = int(sys.argv[4])
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for ext in ("", "-journal", "-wal", "-shm"):
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try: os.remove(db + ext)
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except OSError: pass
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con = sqlite3.connect(db, isolation_level=None)
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con.execute("PRAGMA journal_mode=DELETE;")
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con.execute("PRAGMA synchronous=FULL;")
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con.execute("CREATE TABLE t(id INTEGER PRIMARY KEY, payload BLOB, chk INTEGER);")
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# LOAD
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mb = rows * 4096 / 1048576
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t = time.time(); done = 0
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rnd = random.Random(12345) # reuse one PRNG; this probe doesn't verify payloads
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while done < rows:
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end = min(done + batch, rows)
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data = [(i, rnd.randbytes(4096), 0) for i in range(done, end)]
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con.execute("BEGIN")
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con.executemany("INSERT INTO t VALUES(?,?,?)", data)
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con.execute("COMMIT")
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done = end
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dt = time.time() - t
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print(f"LOAD\t{dt:.1f}\t{mb/dt:.0f} MB/s")
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# OLTP: each INSERT autocommits (isolation_level=None) -> 1 fsync'd txn each
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con.execute("CREATE TABLE o(id INTEGER PRIMARY KEY, v INTEGER);")
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t = time.time()
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for i in range(oltp):
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con.execute("INSERT INTO o(v) VALUES(?)", (i,))
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dt = time.time() - t
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print(f"OLTP\t{dt:.2f}\t{oltp/dt:.0f} tx/s")
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# SCAN (warm): read every payload
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t = time.time(); nbytes = 0
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for rid, p, c in con.execute("SELECT id,payload,chk FROM t"):
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nbytes += len(p)
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dt = time.time() - t
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print(f"SCAN\t{dt:.1f}\t{nbytes/1048576/dt:.0f} MB/s")
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con.close()
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