0d5b9730e3
Adds the scripts used to size the connection pool and validate fleet polling under load: burst arrival and mixed workload drivers, pool and resource samplers, a UI probe, host seed/drop SQL, and a gevent Dockerfile. Hosts are addressed by compose service name (api:5001) rather than a local path, so the harness runs against any stack rather than one machine. loadtest_token.py mints a scoped collector token named LOADTEST and prints the secret once, then revokes only that token by name so a real collector token is never touched. envkeyfallback is false, so the harness needs a genuine managed token rather than an env key.
43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
"""Report SQLAlchemy pool saturation from inside the API container.
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WHY: MySQL's max_connections is NOT the ceiling that binds first. The effective
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limit is per-process: pool_size + max_overflow, multiplied by worker count.
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With the defaults (5 + 10) and 4 workers that is 60, not 151. A peak of 52
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therefore means 87 percent of the real ceiling, not 34 percent.
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Prints the computed ceiling so a measured high-water mark can be compared
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against the right number.
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Usage (inside the api container, PYTHONPATH=/app):
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python pool_status.py
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"""
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import json
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import os
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from shopdb import create_app
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from shopdb.api import db
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def main():
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app = create_app(os.environ.get('FLASK_ENV', 'production'))
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with app.app_context():
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engine = db.engine
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pool = engine.pool
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size = pool.size()
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overflow = getattr(pool, '_max_overflow', 0)
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workers = int(os.environ.get('GUNICORN_WORKERS', '4'))
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print(json.dumps({
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'pool_class': type(pool).__name__,
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'pool_size': size,
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'max_overflow': overflow,
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'per_worker_ceiling': size + overflow,
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'workers': workers,
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'effective_ceiling': (size + overflow) * workers,
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'checkedout': pool.checkedout(),
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'status': pool.status(),
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}, indent=2))
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if __name__ == '__main__':
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main()
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