Add read/write throughput performance tests (#1883)

Part of #1467 

This PR adds several performance tests that compare the [PG statistics](https://www.postgresql.org/docs/current/monitoring-stats.html) obtained when running PG benchmarks against Neon and vanilla PG to measure the read/write throughput of the DB.
This commit is contained in:
Thang Pham
2022-06-06 12:32:10 -04:00
committed by GitHub
parent fecad1ca34
commit 6cfebc096f
5 changed files with 190 additions and 12 deletions

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@@ -1,12 +1,13 @@
import pytest
from contextlib import contextmanager
from abc import ABC, abstractmethod
from fixtures.pg_stats import PgStatTable
from fixtures.neon_fixtures import PgBin, PgProtocol, VanillaPostgres, RemotePostgres, NeonEnv
from fixtures.benchmark_fixture import MetricReport, NeonBenchmarker
# Type-related stuff
from typing import Iterator
from typing import Dict, List
class PgCompare(ABC):
@@ -51,6 +52,31 @@ class PgCompare(ABC):
def record_duration(self, out_name):
pass
@contextmanager
def record_pg_stats(self, pg_stats: List[PgStatTable]):
init_data = self._retrieve_pg_stats(pg_stats)
yield
data = self._retrieve_pg_stats(pg_stats)
for k in set(init_data) & set(data):
self.zenbenchmark.record(k, data[k] - init_data[k], '', MetricReport.HIGHER_IS_BETTER)
def _retrieve_pg_stats(self, pg_stats: List[PgStatTable]) -> Dict[str, int]:
results: Dict[str, int] = {}
with self.pg.connect().cursor() as cur:
for pg_stat in pg_stats:
cur.execute(pg_stat.query)
row = cur.fetchone()
assert len(row) == len(pg_stat.columns)
for col, val in zip(pg_stat.columns, row):
results[f"{pg_stat.table}.{col}"] = int(val)
return results
class NeonCompare(PgCompare):
"""PgCompare interface for the neon stack."""

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@@ -0,0 +1,52 @@
from typing import List
import pytest
class PgStatTable:
table: str
columns: List[str]
additional_query: str
def __init__(self, table: str, columns: List[str], filter_query: str = ""):
self.table = table
self.columns = columns
self.additional_query = filter_query
@property
def query(self) -> str:
return f"SELECT {','.join(self.columns)} FROM {self.table} {self.additional_query}"
@pytest.fixture(scope='function')
def pg_stats_rw() -> List[PgStatTable]:
return [
PgStatTable("pg_stat_database",
["tup_returned", "tup_fetched", "tup_inserted", "tup_updated", "tup_deleted"],
"WHERE datname='postgres'"),
]
@pytest.fixture(scope='function')
def pg_stats_ro() -> List[PgStatTable]:
return [
PgStatTable("pg_stat_database", ["tup_returned", "tup_fetched"],
"WHERE datname='postgres'"),
]
@pytest.fixture(scope='function')
def pg_stats_wo() -> List[PgStatTable]:
return [
PgStatTable("pg_stat_database", ["tup_inserted", "tup_updated", "tup_deleted"],
"WHERE datname='postgres'"),
]
@pytest.fixture(scope='function')
def pg_stats_wal() -> List[PgStatTable]:
return [
PgStatTable("pg_stat_wal",
["wal_records", "wal_fpi", "wal_bytes", "wal_buffers_full", "wal_write"],
"")
]