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Author SHA1 Message Date
Anastasia Lubennikova
21ad98ae4e WIP import_timeline_from_tar 2022-06-08 22:23:33 +03:00
Thang Pham
6cfebc096f 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.
2022-06-06 12:32:10 -04:00
6 changed files with 315 additions and 12 deletions

View File

@@ -22,6 +22,8 @@ use postgres_ffi::{pg_constants, ControlFileData, DBState_DB_SHUTDOWNED};
use postgres_ffi::{Oid, TransactionId};
use utils::lsn::Lsn;
use postgres::CopyOutReader;
///
/// Import all relation data pages from local disk into the repository.
///
@@ -403,3 +405,126 @@ fn import_wal<R: Repository>(
Ok(())
}
pub fn import_timeline_from_tar<R: Repository>(
tline: &mut DatadirTimeline<R>,
copyreader: CopyOutReader,
lsn: Lsn,
) -> Result<()> {
let mut ar = tar::Archive::new(copyreader);
let mut modification = tline.begin_modification(lsn);
modification.init_empty()?;
for e in ar.entries().unwrap() {
let mut entry = e.unwrap();
let header = entry.header();
let file_path = header.path().unwrap().into_owned();
match header.entry_type() {
tar::EntryType::Regular => {
let mut buffer = Vec::new();
// read the whole entry
entry.read_to_end(&mut buffer).unwrap();
import_file(&mut modification, &file_path.as_ref(), &buffer)?;
}
tar::EntryType::Directory => {
println!("tar::EntryType::Directory {}", file_path.display());
}
_ => {
panic!("tar::EntryType::?? {}", file_path.display());
}
}
}
Ok(())
}
pub fn import_file<R: Repository>(
modification: &mut DatadirModification<R>,
file_path: &Path,
buffer: &[u8],
) -> Result<()> {
if file_path.starts_with("global") {
let spcnode = pg_constants::GLOBALTABLESPACE_OID;
let dbnode = 0;
match file_path.file_name().unwrap().to_string_lossy().as_ref() {
"pg_control" => {
println!("pg_control file {}", file_path.display());
// Import it as ControlFile
modification.put_control_file(Bytes::copy_from_slice(&buffer[..]))?;
// Extract the checkpoint record and import it separately.
let pg_control = ControlFileData::decode(&buffer)?;
let checkpoint_bytes = pg_control.checkPointCopy.encode()?;
modification.put_checkpoint(checkpoint_bytes)?;
}
"pg_filenode.map" => {
("pg_filenode.map file {}", file_path.display());
}
_ => {
println!("global relfile {}", file_path.display());
//TODO
}
}
} else if file_path.starts_with("base") {
let spcnode = pg_constants::DEFAULTTABLESPACE_OID;
let dbnode: u32 = file_path
.iter()
.skip(1)
.next()
.unwrap()
.to_string_lossy()
.parse()
.unwrap();
match file_path.file_name().unwrap().to_string_lossy().as_ref() {
"pg_filenode.map" => {
println!(
"dbnode {} pg_filenode.map file {}",
dbnode,
file_path.display()
);
modification.put_relmap_file(
spcnode,
dbnode,
Bytes::copy_from_slice(&buffer[..]),
)?;
}
_ => {
println!("dbnode {} relfile {}", dbnode, file_path.display());
//TODO
}
}
} else if file_path.starts_with("pg_xact") {
println!(
"pg_xact {} ",
file_path.file_name().unwrap().to_string_lossy().as_ref()
);
// TODO
} else if file_path.starts_with("pg_multixact/offset") {
println!(
"pg_multixact/offset {}",
file_path.file_name().unwrap().to_string_lossy().as_ref()
);
// TODO
} else if file_path.starts_with("pg_multixact/members") {
println!(
"pg_multixact/members {}",
file_path.file_name().unwrap().to_string_lossy().as_ref()
);
// TODO
} else if file_path.starts_with("pg_twophase") {
let xid = u32::from_str_radix(&file_path.file_name().unwrap().to_string_lossy(), 16)?;
println!(
"xid {} pg_twophase {}",
xid,
file_path.file_name().unwrap().to_string_lossy().as_ref()
);
modification.put_twophase_file(xid, Bytes::copy_from_slice(&buffer[..]))?;
}
Ok(())
}

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@@ -1,6 +1,5 @@
pytest_plugins = (
"fixtures.neon_fixtures",
"fixtures.benchmark_fixture",
"fixtures.compare_fixtures",
"fixtures.slow",
)
pytest_plugins = ("fixtures.neon_fixtures",
"fixtures.benchmark_fixture",
"fixtures.compare_fixtures",
"fixtures.slow",
"fixtures.pg_stats")

View File

@@ -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"],
"")
]

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@@ -0,0 +1,101 @@
import os
from typing import List
import pytest
from fixtures.compare_fixtures import PgCompare
from fixtures.pg_stats import PgStatTable
from performance.test_perf_pgbench import get_durations_matrix, get_scales_matrix
def get_seeds_matrix(default: int = 100):
seeds = os.getenv("TEST_PG_BENCH_SEEDS_MATRIX", default=str(default))
return list(map(int, seeds.split(",")))
@pytest.mark.parametrize("seed", get_seeds_matrix())
@pytest.mark.parametrize("scale", get_scales_matrix())
@pytest.mark.parametrize("duration", get_durations_matrix(5))
def test_compare_pg_stats_rw_with_pgbench_default(neon_with_baseline: PgCompare,
seed: int,
scale: int,
duration: int,
pg_stats_rw: List[PgStatTable]):
env = neon_with_baseline
# initialize pgbench
env.pg_bin.run_capture(['pgbench', f'-s{scale}', '-i', env.pg.connstr()])
env.flush()
with env.record_pg_stats(pg_stats_rw):
env.pg_bin.run_capture(
['pgbench', f'-T{duration}', f'--random-seed={seed}', '-Mprepared', env.pg.connstr()])
env.flush()
@pytest.mark.parametrize("seed", get_seeds_matrix())
@pytest.mark.parametrize("scale", get_scales_matrix())
@pytest.mark.parametrize("duration", get_durations_matrix(5))
def test_compare_pg_stats_wo_with_pgbench_simple_update(neon_with_baseline: PgCompare,
seed: int,
scale: int,
duration: int,
pg_stats_wo: List[PgStatTable]):
env = neon_with_baseline
# initialize pgbench
env.pg_bin.run_capture(['pgbench', f'-s{scale}', '-i', env.pg.connstr()])
env.flush()
with env.record_pg_stats(pg_stats_wo):
env.pg_bin.run_capture([
'pgbench',
'-N',
f'-T{duration}',
f'--random-seed={seed}',
'-Mprepared',
env.pg.connstr()
])
env.flush()
@pytest.mark.parametrize("seed", get_seeds_matrix())
@pytest.mark.parametrize("scale", get_scales_matrix())
@pytest.mark.parametrize("duration", get_durations_matrix(5))
def test_compare_pg_stats_ro_with_pgbench_select_only(neon_with_baseline: PgCompare,
seed: int,
scale: int,
duration: int,
pg_stats_ro: List[PgStatTable]):
env = neon_with_baseline
# initialize pgbench
env.pg_bin.run_capture(['pgbench', f'-s{scale}', '-i', env.pg.connstr()])
env.flush()
with env.record_pg_stats(pg_stats_ro):
env.pg_bin.run_capture([
'pgbench',
'-S',
f'-T{duration}',
f'--random-seed={seed}',
'-Mprepared',
env.pg.connstr()
])
env.flush()
@pytest.mark.parametrize("seed", get_seeds_matrix())
@pytest.mark.parametrize("scale", get_scales_matrix())
@pytest.mark.parametrize("duration", get_durations_matrix(5))
def test_compare_pg_stats_wal_with_pgbench_default(neon_with_baseline: PgCompare,
seed: int,
scale: int,
duration: int,
pg_stats_wal: List[PgStatTable]):
env = neon_with_baseline
# initialize pgbench
env.pg_bin.run_capture(['pgbench', f'-s{scale}', '-i', env.pg.connstr()])
env.flush()
with env.record_pg_stats(pg_stats_wal):
env.pg_bin.run_capture(
['pgbench', f'-T{duration}', f'--random-seed={seed}', '-Mprepared', env.pg.connstr()])
env.flush()

View File

@@ -79,7 +79,7 @@ def run_test_pgbench(env: PgCompare, scale: int, duration: int):
# Run simple-update workload
run_pgbench(env,
"simple-update",
['pgbench', '-n', '-c4', f'-T{duration}', '-P2', '-Mprepared', env.pg.connstr()])
['pgbench', '-N', '-c4', f'-T{duration}', '-P2', '-Mprepared', env.pg.connstr()])
# Run SELECT workload
run_pgbench(env,
@@ -89,13 +89,13 @@ def run_test_pgbench(env: PgCompare, scale: int, duration: int):
env.report_size()
def get_durations_matrix():
durations = os.getenv("TEST_PG_BENCH_DURATIONS_MATRIX", default="45")
def get_durations_matrix(default: int = 45):
durations = os.getenv("TEST_PG_BENCH_DURATIONS_MATRIX", default=str(default))
return list(map(int, durations.split(",")))
def get_scales_matrix():
scales = os.getenv("TEST_PG_BENCH_SCALES_MATRIX", default="10")
def get_scales_matrix(default: int = 10):
scales = os.getenv("TEST_PG_BENCH_SCALES_MATRIX", default=str(default))
return list(map(int, scales.split(",")))