Files
neon/test_runner/performance/test_lfc_prewarm.py
Mikhail 2288efae66 Performance test for LFC prewarm (#12524)
https://github.com/neondatabase/cloud/issues/19011

Measure relative performance for prewarmed and non-prewarmed endpoints.
Add test that runs on every commit, and one performance test with a
remote cluster.
2025-07-14 13:41:31 +00:00

168 lines
6.1 KiB
Python

from __future__ import annotations
import os
import timeit
import traceback
from concurrent.futures import ThreadPoolExecutor as Exec
from pathlib import Path
from time import sleep
from typing import TYPE_CHECKING, Any, cast
import pytest
from fixtures.benchmark_fixture import NeonBenchmarker, PgBenchRunResult
from fixtures.log_helper import log
from fixtures.neon_api import NeonAPI, connection_parameters_to_env
if TYPE_CHECKING:
from fixtures.compare_fixtures import NeonCompare
from fixtures.neon_fixtures import Endpoint, PgBin
from fixtures.pg_version import PgVersion
from performance.test_perf_pgbench import utc_now_timestamp
# These tests compare performance for a write-heavy and read-heavy workloads of an ordinary endpoint
# compared to the endpoint which saves its LFC and prewarms using it on startup.
def test_compare_prewarmed_pgbench_perf(neon_compare: NeonCompare):
env = neon_compare.env
env.create_branch("normal")
env.create_branch("prewarmed")
pg_bin = neon_compare.pg_bin
ep_normal: Endpoint = env.endpoints.create_start("normal")
ep_prewarmed: Endpoint = env.endpoints.create_start("prewarmed", autoprewarm=True)
for ep in [ep_normal, ep_prewarmed]:
connstr: str = ep.connstr()
pg_bin.run(["pgbench", "-i", "-I", "dtGvp", connstr, "-s100"])
ep.safe_psql("CREATE EXTENSION neon")
client = ep.http_client()
client.offload_lfc()
ep.stop()
ep.start()
client.prewarm_lfc_wait()
run_start_timestamp = utc_now_timestamp()
t0 = timeit.default_timer()
out = pg_bin.run_capture(["pgbench", "-c10", "-T10", connstr])
run_duration = timeit.default_timer() - t0
run_end_timestamp = utc_now_timestamp()
stdout = Path(f"{out}.stdout").read_text()
res = PgBenchRunResult.parse_from_stdout(
stdout=stdout,
run_duration=run_duration,
run_start_timestamp=run_start_timestamp,
run_end_timestamp=run_end_timestamp,
)
name: str = cast("str", ep.branch_name)
neon_compare.zenbenchmark.record_pg_bench_result(name, res)
@pytest.mark.remote_cluster
@pytest.mark.timeout(30 * 60)
def test_compare_prewarmed_pgbench_perf_benchmark(
pg_bin: PgBin,
neon_api: NeonAPI,
pg_version: PgVersion,
zenbenchmark: NeonBenchmarker,
):
name = f"Test prewarmed pgbench performance, GITHUB_RUN_ID={os.getenv('GITHUB_RUN_ID')}"
project = neon_api.create_project(pg_version, name)
project_id = project["project"]["id"]
neon_api.wait_for_operation_to_finish(project_id)
err = False
try:
benchmark_impl(pg_bin, neon_api, project, zenbenchmark)
except Exception as e:
err = True
log.error(f"Caught exception: {e}")
log.error(traceback.format_exc())
finally:
assert not err
neon_api.delete_project(project_id)
def benchmark_impl(
pg_bin: PgBin, neon_api: NeonAPI, project: dict[str, Any], zenbenchmark: NeonBenchmarker
):
pgbench_size = int(os.getenv("PGBENCH_SIZE") or "3424") # 50GB
offload_secs = 20
test_duration_min = 5
pgbench_duration = f"-T{test_duration_min * 60}"
# prewarm API is not publicly exposed. In order to test performance of a
# fully prewarmed endpoint, wait after it restarts
prewarmed_sleep_secs = 30
branch_id = project["branch"]["id"]
project_id = project["project"]["id"]
normal_env = connection_parameters_to_env(
project["connection_uris"][0]["connection_parameters"]
)
normal_id = project["endpoints"][0]["id"]
prewarmed_branch_id = neon_api.create_branch(
project_id, "prewarmed", parent_id=branch_id, add_endpoint=False
)["branch"]["id"]
neon_api.wait_for_operation_to_finish(project_id)
ep_prewarmed = neon_api.create_endpoint(
project_id,
prewarmed_branch_id,
endpoint_type="read_write",
settings={"autoprewarm": True, "offload_lfc_interval_seconds": offload_secs},
)
neon_api.wait_for_operation_to_finish(project_id)
prewarmed_env = normal_env.copy()
prewarmed_env["PGHOST"] = ep_prewarmed["endpoint"]["host"]
prewarmed_id = ep_prewarmed["endpoint"]["id"]
def bench(endpoint_name, endpoint_id, env):
pg_bin.run(["pgbench", "-i", "-I", "dtGvp", f"-s{pgbench_size}"], env)
sleep(offload_secs * 2) # ensure LFC is offloaded after pgbench finishes
neon_api.restart_endpoint(project_id, endpoint_id)
sleep(prewarmed_sleep_secs)
run_start_timestamp = utc_now_timestamp()
t0 = timeit.default_timer()
out = pg_bin.run_capture(["pgbench", "-c10", pgbench_duration, "-Mprepared"], env)
run_duration = timeit.default_timer() - t0
run_end_timestamp = utc_now_timestamp()
stdout = Path(f"{out}.stdout").read_text()
res = PgBenchRunResult.parse_from_stdout(
stdout=stdout,
run_duration=run_duration,
run_start_timestamp=run_start_timestamp,
run_end_timestamp=run_end_timestamp,
)
zenbenchmark.record_pg_bench_result(endpoint_name, res)
with Exec(max_workers=2) as exe:
exe.submit(bench, "normal", normal_id, normal_env)
exe.submit(bench, "prewarmed", prewarmed_id, prewarmed_env)
def test_compare_prewarmed_read_perf(neon_compare: NeonCompare):
env = neon_compare.env
env.create_branch("normal")
env.create_branch("prewarmed")
ep_normal: Endpoint = env.endpoints.create_start("normal")
ep_prewarmed: Endpoint = env.endpoints.create_start("prewarmed", autoprewarm=True)
sql = [
"CREATE EXTENSION neon",
"CREATE TABLE foo(key serial primary key, t text default 'foooooooooooooooooooooooooooooooooooooooooooooooooooo')",
"INSERT INTO foo SELECT FROM generate_series(1,1000000)",
]
for ep in [ep_normal, ep_prewarmed]:
ep.safe_psql_many(sql)
client = ep.http_client()
client.offload_lfc()
ep.stop()
ep.start()
client.prewarm_lfc_wait()
with neon_compare.record_duration(f"{ep.branch_name}_run_duration"):
ep.safe_psql("SELECT count(*) from foo")