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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.
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@@ -314,6 +314,10 @@ class NeonAPI:
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if endpoint_type:
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data["endpoint"]["type"] = endpoint_type
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if settings:
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# otherwise we get 400 "settings must not be nil"
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# TODO(myrrc): fix on cplane side
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if "pg_settings" not in settings:
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settings["pg_settings"] = {}
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data["endpoint"]["settings"] = settings
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resp = self.__request(
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167
test_runner/performance/test_lfc_prewarm.py
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167
test_runner/performance/test_lfc_prewarm.py
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@@ -0,0 +1,167 @@
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from __future__ import annotations
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import os
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import timeit
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import traceback
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from concurrent.futures import ThreadPoolExecutor as Exec
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from pathlib import Path
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from time import sleep
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from typing import TYPE_CHECKING, Any, cast
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import pytest
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from fixtures.benchmark_fixture import NeonBenchmarker, PgBenchRunResult
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from fixtures.log_helper import log
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from fixtures.neon_api import NeonAPI, connection_parameters_to_env
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if TYPE_CHECKING:
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from fixtures.compare_fixtures import NeonCompare
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from fixtures.neon_fixtures import Endpoint, PgBin
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from fixtures.pg_version import PgVersion
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from performance.test_perf_pgbench import utc_now_timestamp
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# These tests compare performance for a write-heavy and read-heavy workloads of an ordinary endpoint
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# compared to the endpoint which saves its LFC and prewarms using it on startup.
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def test_compare_prewarmed_pgbench_perf(neon_compare: NeonCompare):
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env = neon_compare.env
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env.create_branch("normal")
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env.create_branch("prewarmed")
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pg_bin = neon_compare.pg_bin
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ep_normal: Endpoint = env.endpoints.create_start("normal")
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ep_prewarmed: Endpoint = env.endpoints.create_start("prewarmed", autoprewarm=True)
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for ep in [ep_normal, ep_prewarmed]:
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connstr: str = ep.connstr()
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pg_bin.run(["pgbench", "-i", "-I", "dtGvp", connstr, "-s100"])
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ep.safe_psql("CREATE EXTENSION neon")
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client = ep.http_client()
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client.offload_lfc()
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ep.stop()
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ep.start()
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client.prewarm_lfc_wait()
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run_start_timestamp = utc_now_timestamp()
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t0 = timeit.default_timer()
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out = pg_bin.run_capture(["pgbench", "-c10", "-T10", connstr])
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run_duration = timeit.default_timer() - t0
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run_end_timestamp = utc_now_timestamp()
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stdout = Path(f"{out}.stdout").read_text()
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res = PgBenchRunResult.parse_from_stdout(
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stdout=stdout,
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run_duration=run_duration,
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run_start_timestamp=run_start_timestamp,
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run_end_timestamp=run_end_timestamp,
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)
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name: str = cast("str", ep.branch_name)
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neon_compare.zenbenchmark.record_pg_bench_result(name, res)
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@pytest.mark.remote_cluster
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@pytest.mark.timeout(30 * 60)
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def test_compare_prewarmed_pgbench_perf_benchmark(
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pg_bin: PgBin,
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neon_api: NeonAPI,
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pg_version: PgVersion,
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zenbenchmark: NeonBenchmarker,
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):
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name = f"Test prewarmed pgbench performance, GITHUB_RUN_ID={os.getenv('GITHUB_RUN_ID')}"
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project = neon_api.create_project(pg_version, name)
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project_id = project["project"]["id"]
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neon_api.wait_for_operation_to_finish(project_id)
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err = False
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try:
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benchmark_impl(pg_bin, neon_api, project, zenbenchmark)
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except Exception as e:
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err = True
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log.error(f"Caught exception: {e}")
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log.error(traceback.format_exc())
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finally:
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assert not err
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neon_api.delete_project(project_id)
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def benchmark_impl(
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pg_bin: PgBin, neon_api: NeonAPI, project: dict[str, Any], zenbenchmark: NeonBenchmarker
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):
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pgbench_size = int(os.getenv("PGBENCH_SIZE") or "3424") # 50GB
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offload_secs = 20
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test_duration_min = 5
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pgbench_duration = f"-T{test_duration_min * 60}"
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# prewarm API is not publicly exposed. In order to test performance of a
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# fully prewarmed endpoint, wait after it restarts
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prewarmed_sleep_secs = 30
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branch_id = project["branch"]["id"]
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project_id = project["project"]["id"]
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normal_env = connection_parameters_to_env(
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project["connection_uris"][0]["connection_parameters"]
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)
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normal_id = project["endpoints"][0]["id"]
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prewarmed_branch_id = neon_api.create_branch(
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project_id, "prewarmed", parent_id=branch_id, add_endpoint=False
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)["branch"]["id"]
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neon_api.wait_for_operation_to_finish(project_id)
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ep_prewarmed = neon_api.create_endpoint(
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project_id,
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prewarmed_branch_id,
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endpoint_type="read_write",
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settings={"autoprewarm": True, "offload_lfc_interval_seconds": offload_secs},
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)
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neon_api.wait_for_operation_to_finish(project_id)
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prewarmed_env = normal_env.copy()
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prewarmed_env["PGHOST"] = ep_prewarmed["endpoint"]["host"]
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prewarmed_id = ep_prewarmed["endpoint"]["id"]
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def bench(endpoint_name, endpoint_id, env):
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pg_bin.run(["pgbench", "-i", "-I", "dtGvp", f"-s{pgbench_size}"], env)
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sleep(offload_secs * 2) # ensure LFC is offloaded after pgbench finishes
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neon_api.restart_endpoint(project_id, endpoint_id)
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sleep(prewarmed_sleep_secs)
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run_start_timestamp = utc_now_timestamp()
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t0 = timeit.default_timer()
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out = pg_bin.run_capture(["pgbench", "-c10", pgbench_duration, "-Mprepared"], env)
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run_duration = timeit.default_timer() - t0
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run_end_timestamp = utc_now_timestamp()
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stdout = Path(f"{out}.stdout").read_text()
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res = PgBenchRunResult.parse_from_stdout(
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stdout=stdout,
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run_duration=run_duration,
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run_start_timestamp=run_start_timestamp,
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run_end_timestamp=run_end_timestamp,
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)
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zenbenchmark.record_pg_bench_result(endpoint_name, res)
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with Exec(max_workers=2) as exe:
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exe.submit(bench, "normal", normal_id, normal_env)
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exe.submit(bench, "prewarmed", prewarmed_id, prewarmed_env)
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def test_compare_prewarmed_read_perf(neon_compare: NeonCompare):
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env = neon_compare.env
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env.create_branch("normal")
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env.create_branch("prewarmed")
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ep_normal: Endpoint = env.endpoints.create_start("normal")
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ep_prewarmed: Endpoint = env.endpoints.create_start("prewarmed", autoprewarm=True)
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sql = [
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"CREATE EXTENSION neon",
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"CREATE TABLE foo(key serial primary key, t text default 'foooooooooooooooooooooooooooooooooooooooooooooooooooo')",
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"INSERT INTO foo SELECT FROM generate_series(1,1000000)",
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]
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for ep in [ep_normal, ep_prewarmed]:
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ep.safe_psql_many(sql)
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client = ep.http_client()
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client.offload_lfc()
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ep.stop()
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ep.start()
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client.prewarm_lfc_wait()
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with neon_compare.record_duration(f"{ep.branch_name}_run_duration"):
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ep.safe_psql("SELECT count(*) from foo")
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