Add vanilla pg baseline tests (#1275)

This commit is contained in:
bojanserafimov
2022-02-15 13:44:22 -05:00
committed by GitHub
parent 5563ff123f
commit afb3342e46
8 changed files with 306 additions and 338 deletions

View File

@@ -14,32 +14,23 @@ import os
from contextlib import closing
from fixtures.benchmark_fixture import MetricReport
from fixtures.zenith_fixtures import ZenithEnv
from fixtures.compare_fixtures import PgCompare, VanillaCompare, ZenithCompare
from fixtures.log_helper import log
pytest_plugins = ("fixtures.zenith_fixtures", "fixtures.benchmark_fixture")
pytest_plugins = (
"fixtures.zenith_fixtures",
"fixtures.benchmark_fixture",
"fixtures.compare_fixtures",
)
def test_write_amplification(zenith_simple_env: ZenithEnv, zenbenchmark):
env = zenith_simple_env
# Create a branch for us
env.zenith_cli(["branch", "test_write_amplification", "empty"])
def test_write_amplification(zenith_with_baseline: PgCompare):
env = zenith_with_baseline
pg = env.postgres.create_start('test_write_amplification')
log.info("postgres is running on 'test_write_amplification' branch")
# Open a connection directly to the page server that we'll use to force
# flushing the layers to disk
psconn = env.pageserver.connect()
pscur = psconn.cursor()
with closing(pg.connect()) as conn:
with closing(env.pg.connect()) as conn:
with conn.cursor() as cur:
# Get the timeline ID of our branch. We need it for the 'do_gc' command
cur.execute("SHOW zenith.zenith_timeline")
timeline = cur.fetchone()[0]
with zenbenchmark.record_pageserver_writes(env.pageserver, 'pageserver_writes'):
with zenbenchmark.record_duration('run'):
with env.record_pageserver_writes('pageserver_writes'):
with env.record_duration('run'):
# NOTE: Because each iteration updates every table already created,
# the runtime and write amplification is O(n^2), where n is the
@@ -71,13 +62,6 @@ def test_write_amplification(zenith_simple_env: ZenithEnv, zenbenchmark):
# slower, adding some delays in this loop. But forcing
# the checkpointing and GC makes the test go faster,
# with the same total I/O effect.
pscur.execute(f"do_gc {env.initial_tenant} {timeline} 0")
env.flush()
# Report disk space used by the repository
timeline_size = zenbenchmark.get_timeline_size(env.repo_dir,
env.initial_tenant,
timeline)
zenbenchmark.record('size',
timeline_size / (1024 * 1024),
'MB',
report=MetricReport.LOWER_IS_BETTER)
env.report_size()