Files
neon/test_runner/performance/test_perf_pgbench.py
Heikki Linnakangas c660926a06 Refactor duplicated code to get on-disk timeline size in tests.
Move it to a common function. In the passing, remove the obsolete check
to exclude the 'wal' directory. The 'wal' directory is no more.
2021-10-08 00:34:26 +03:00

56 lines
2.1 KiB
Python

import os
from contextlib import closing
from fixtures.zenith_fixtures import PostgresFactory, ZenithPageserver
pytest_plugins = ("fixtures.zenith_fixtures", "fixtures.benchmark_fixture")
#
# Run a very short pgbench test.
#
# Collects three metrics:
#
# 1. Time to initialize the pgbench database (pgbench -s5 -i)
# 2. Time to run 5000 pgbench transactions
# 3. Disk space used
#
def test_pgbench(postgres: PostgresFactory, pageserver: ZenithPageserver, pg_bin, zenith_cli, zenbenchmark, repo_dir: str):
# Create a branch for us
zenith_cli.run(["branch", "test_pgbench_perf", "empty"])
pg = postgres.create_start('test_pgbench_perf')
print("postgres is running on 'test_pgbench_perf' branch")
# Open a connection directly to the page server that we'll use to force
# flushing the layers to disk
psconn = pageserver.connect();
pscur = psconn.cursor()
# Get the timeline ID of our branch. We need it for the 'do_gc' command
with closing(pg.connect()) as conn:
with conn.cursor() as cur:
cur.execute("SHOW zenith.zenith_timeline")
timeline = cur.fetchone()[0]
connstr = pg.connstr()
# Initialize pgbench database, recording the time and I/O it takes
with zenbenchmark.record_pageserver_writes(pageserver, 'pageserver_writes'):
with zenbenchmark.record_duration('init'):
pg_bin.run_capture(['pgbench', '-s5', '-i', connstr])
# Flush the layers from memory to disk. This is included in the reported
# time and I/O
pscur.execute(f"do_gc {pageserver.initial_tenant} {timeline} 0")
# Run pgbench for 5000 transactions
with zenbenchmark.record_duration('5000_xacts'):
pg_bin.run_capture(['pgbench', '-c1', '-t5000', connstr])
# Flush the layers to disk again. This is *not' included in the reported time,
# though.
pscur.execute(f"do_gc {pageserver.initial_tenant} {timeline} 0")
# Report disk space used by the repository
timeline_size = zenbenchmark.get_timeline_size(repo_dir, pageserver.initial_tenant, timeline)
zenbenchmark.record('size', timeline_size / (1024*1024), 'MB')