mirror of
https://github.com/seaweedfs/seaweedfs.git
synced 2026-07-20 23:12:36 +00:00
Chris Lu
76783f3d71
* test: add FUSE database load/durability/perf benchmark Runs MySQL (InnoDB) and SQLite with ~1GB datadirs on a SeaweedFS FUSE mount. Two parts: - durability: normal shutdown, kill -9, and crash-during-write all keep every fsync-committed row (verified by integrity check + row count + contiguous prefix + per-row CRC). - performance: FUSE vs the same local disk. fsync/commit latency is the dominant cost (~0.13ms -> ~1.18ms), so small transactions run ~9-12x slower while bulk loads and warm reads stay close. Harness is path-independent (runtime under $SEAWEED_BENCH_WORK) and only touches its own processes on non-default ports. * test/benchmark/fuse_db: portable to Linux + crash-safe progress - export MYSQL_BIN; mysql_bench.py falls back to PATH when unset - unmount via fusermount/fusermount3 (non-root Linux), then umount/diskutil - atomic progress write (tmp+fsync+rename); treat empty progress file as 0 - reuse a single PRNG in the perf probe so RNG init doesn't skew timings * test/benchmark/fuse_db: validate inputs, add subprocess timeout - mysql_bench.py: 1800s timeout on mysql CLI calls; reject db names that aren't plain identifiers (interpolated into SQL) - sqlite_gen.py / sqlite_verify.py: allowlist journal/synchronous modes and the verify mode so a typo can't silently weaken durability or relax checks - run_mysql.sh: durable atomic progress write (tmp+fsync+rename), matching sqlite_gen.py; quote $LB in both crash-test verify calls
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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