`_generate_sample_rand` seeds a Mersenne Twister per Transaction, eagerly, even when unsampled (6.4 µs)

Comienza en sentry_sdk/tracing.py, en Transaction.init, y en sentry_sdk/tracing_utils.py, en _generate_sample_rand; inspecciona cómo se lee _sample_rand y si se requiere compatibilidad de salida. Ejecuta el benchmark del issue para comparar las alternativas y, después, verifica que las transacciones no muestreadas eviten trabajo innecesario mientras se preserva el comportamiento de muestreo determinista.

Summary

Transaction.__init__ unconditionally computes _generate_sample_rand(self.trace_id), and _generate_sample_rand seeds a Mersenne Twister to produce a single float. That is 6.4 µs per call on CPython 3.14 / Apple M2, paid on every request through the ASGI integrations even when tracing is disabled and the value can never be used.

Two independent problems:

1. It is eager. sentry_sdk/tracing.py, Transaction.__init__:

baggage_sample_rand = None if self._baggage is None else self._baggage._sample_rand()
if baggage_sample_rand is not None:
    self._sample_rand = baggage_sample_rand
else:
    self._sample_rand = _generate_sample_rand(self.trace_id)

_sample_rand is only read when a sampling decision is actually made. With traces_sample_rate unset the transaction is never sampled, so this is pure waste. Making it a lazy property costs nothing.

2. It is expensive. sentry_sdk/tracing_utils.py:

def _generate_sample_rand(trace_id, *, interval=(0.0, 1.0)):
    ...
    rng = Random(trace_id)
    sample_rand_scaled = rng.randrange(lower_scaled, upper_scaled)
    return sample_rand_scaled / 1_000_000

Random(seed) runs the full MT19937 init_by_array over a 625-word state. Measured with timeit, 50k iterations, best of 5:

The cost is the Mersenne Twister initialisation, not the string hashing - seeding with a small int is just as slow. Deriving a uniformly distributed value in [0, 1) arithmetically from the same trace id is 27x cheaper and just as deterministic.

Impact

On a do-nothing FastAPI endpoint with tracing disabled, making _generate_sample_rand cheap moves the SDK's per-request overhead from +61.3 µs to +53.3 µs (in-process measurement, baseline 15.6 µs/req) - about 13% of the SDK's cost, for a value that is discarded.

Questions

1. Is the fix to Transaction.__init__ simply making _sample_rand lazy? Happy to open a PR.
2. Is the exact output of _generate_sample_rand required to be bit-compatible across SDKs, or only to be deterministic-from-trace_id and uniformly distributed? If the latter, int(trace_id, 16) / 2**128 (scaled into the requested interval) would be a drop-in replacement. If the former, the laziness fix alone still helps.

Repro

import timeit, uuid
from random import Random
tid = uuid.uuid4().hex
n = 50000
for label, fn in [
    ("Random(hex str)", lambda: Random(tid)),
    ("Random(int)", lambda: Random(int(tid, 16))),
    ("Random(12345)", lambda: Random(12345)),
    ("int(tid,16)/2**128", lambda: int(tid, 16) / 2**128),
]:
    print(f"{label:<20} {min(timeit.repeat(fn, number=n, repeat=5)) / n * 1e6:.2f} us")

Environment: CPython 3.14.7, sentry-sdk 2.67.1, Apple M2.

Context: this was found while measuring 7400, where the discarded Transaction is the larger half of the same problem.