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throughput_limit_test.py
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throughput_limit_test.py
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# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
#
# See LICENSE for more details.
#
# Copyright (c) 2022 ScyllaDB
import logging
from dataclasses import dataclass
import time
import yaml
from sdcm.cluster import BaseNode
from sdcm.sct_events import Severity
from sdcm.sct_events.system import InfoEvent
from sdcm.stress_thread import CassandraStressThread
from sdcm.tester import ClusterTester
LOGGER = logging.getLogger(__name__)
@dataclass
class PerfResult:
latency_99: float
ops: int
class ThroughputLimitFunctionalTest(ClusterTester):
def test_per_partition_limit(self):
"""
assumptions:
no need to preload data
no need to add nemesis (even there's might be impact to limit precision,
nemesis than can affect this like add/remove/restart nodes are rare)
Test steps:
1. measure latency/ops baseline for read/write/mixed with and without additional heavy several-partitions load
2. measure latency/ops with per-partition limits set with and without additional heavy several-partitions load
3. compare results: there should be no much degradation in performance (and improvement when additional load added)
"""
table = "scylla_bench.test"
stress_write_cmd = self.params.get("stress_cmd_w")
stress_read_cmd = self.params.get("stress_cmd_r")
stress_write_partition_cmd = self.params.get("stress_cmd")[0]
stress_read_partition_cmd = self.params.get("stress_cmd")[1]
LOGGER.info("measure base latency and ops/s - without setting limits")
base_write_result = self._measure_latency_and_ops(stress_cmd=stress_write_cmd, conditions="base write")
base_read_result = self._measure_latency_and_ops(stress_cmd=stress_read_cmd, conditions="base read")
LOGGER.info("measure base latency and ops/s with stressing several partitions - without setting limits")
self._truncate_table(table=table)
self.run_stress_thread(stress_cmd=stress_write_partition_cmd)
stressed_base_write_result = self._measure_latency_and_ops(
stress_cmd=stress_write_cmd, conditions="base write stressed")
self.run_stress_thread(stress_cmd=stress_read_partition_cmd)
stressed_base_read_result = self._measure_latency_and_ops(
stress_cmd=stress_read_cmd, conditions="base read stressed")
LOGGER.info("measure latency and ops/s - with setting limits: should not affect base results much")
self._set_per_partition_limits(table=table, reads_limit=100, writes_limit=100)
self._truncate_table(table=table)
limited_write_result = self._measure_latency_and_ops(stress_cmd=stress_write_cmd, conditions="limited write")
limited_read_result = self._measure_latency_and_ops(stress_cmd=stress_read_cmd, conditions="limited read")
LOGGER.info("measure latency and ops/s with stressing several partitions - with setting limits")
self._truncate_table(table=table)
self.run_stress_thread(stress_cmd=stress_write_partition_cmd)
stressed_limited_write_result = self._measure_latency_and_ops(
stress_cmd=stress_write_cmd, conditions="limited write stressed")
self.run_stress_thread(stress_cmd=stress_read_partition_cmd)
stressed_limited_read_result = self._measure_latency_and_ops(
stress_cmd=stress_read_cmd, conditions="limited read stressed")
assert limited_write_result.latency_99 < base_write_result.latency_99 * 1.05, \
f"Per partition limit caused more than 5% write latency degradation " \
f"{limited_write_result.latency_99}<{base_write_result.latency_99 * 1.05}"
assert limited_read_result.latency_99 < base_read_result.latency_99 * 1.05, \
f"Per partition limit caused more than 5% read latency degradation" \
f"{limited_read_result.latency_99}<{base_read_result.latency_99 * 1.05}"
assert limited_write_result.ops > base_write_result.ops * 0.95, \
f"Per partition limit caused more than 5% write op/s degradation" \
f"{limited_write_result.ops}>{base_write_result.ops * 0.95}"
assert limited_read_result.ops > base_read_result.ops * 0.95, \
f"Per partition limit caused more than 5% read op/s degradation" \
f"{limited_read_result.ops}>{base_read_result.ops * 0.95}"
assert stressed_limited_write_result.latency_99 < stressed_base_write_result.latency_99 * 0.95, \
f"Per partition limit didn't bring write latency improvement when several partitions were additionally stressed" \
f"{stressed_limited_write_result.latency_99} < {stressed_base_write_result.latency_99 * 0.95}"
assert stressed_limited_read_result.latency_99 < stressed_base_read_result.latency_99 * 0.95, \
"Per partition limit didn't bring read latency improvement when several partitions were additionally stressed" \
f"{stressed_limited_read_result.latency_99} < {stressed_base_read_result.latency_99 * 0.95}"
assert stressed_limited_write_result.ops > stressed_base_write_result.ops * 1.05, \
"Per partition limit didn't bring write op/s improvement when several partitions were additionally stressed" \
f"{stressed_limited_write_result.ops} > {stressed_base_write_result.ops * 1.05}"
assert stressed_limited_read_result.ops > stressed_base_read_result.ops * 1.05, \
"Per partition limit didn't bring read op/s improvement when several partitions were additionally stressed" \
f"{stressed_limited_read_result.ops} > {stressed_base_read_result.ops * 1.05}"
def test_compaction_throughput_limit(self):
"""
Test how compaction thoughput limit affects Scylla latency/throughput.
Test steps:
1. measure latency/ops baseline for write load
2. measure latency/ops with compaction throughput limits
3. compare results: there should be some latency/throughput improvements when limit is on
4. see monitor dashboards to see compaction and write throughput effects for different settings
"""
table = "keyspace1.standard1"
disk_write_throughput = self._get_disk_write_max_throughput(self.db_cluster.nodes[0])
stress_write_cmd = self.params.get("stress_cmd_w")
LOGGER.info("measure base latency and ops/s - without setting limits")
base_write_result = self._measure_latency_and_ops(stress_cmd=stress_write_cmd, conditions="base write")
for limit in [0.7, 0.45, 0.2, 0.01]:
LOGGER.info("measure latency and ops/s - with setting compaction limit to %s of disk write bandwidth", limit)
self._truncate_table(table=table)
time.sleep(60) # to make scylla complete truncate and make clear gap between load
self._set_compaction_limit(limit_mb=round(disk_write_throughput * limit))
limited_write_result = self._measure_latency_and_ops(
stress_cmd=stress_write_cmd, conditions=f"limited {str(limit)} write")
if limited_write_result.latency_99 > base_write_result.latency_99:
InfoEvent(f"Compaction throughput limit didn't bring write latency improvements when "
f"limiting compaction to {limit} of disk write bandwidth "
f"{limited_write_result.latency_99}<{base_write_result.latency_99}",
severity=Severity.ERROR).publish()
if limited_write_result.ops < base_write_result.ops:
InfoEvent(f"Compaction throughput limit didn't bring write op/s improvements when "
f"limiting compaction to {limit} of disk write bandwidth "
f"{limited_write_result.ops}>{base_write_result.ops}",
severity=Severity.ERROR).publish()
def _measure_latency_and_ops(self, stress_cmd: str, conditions: str = ""):
# investigate if we shouldn't aggregate results param or round robin when more loaders is added
stress_thread: CassandraStressThread = self.run_stress_thread(stress_cmd=stress_cmd)
cs_summary, errors = stress_thread.verify_results()
LOGGER.debug(cs_summary)
result = PerfResult(latency_99=float(cs_summary[0]["latency 99th percentile"]),
ops=float(cs_summary[0]["op rate"]))
LOGGER.info("%s: %s", conditions, result)
assert not errors, f"Errors during running stress_cmd: {stress_cmd}: {errors}"
return result
def _set_per_partition_limits(self, table: str, reads_limit: int, writes_limit: int):
with self.db_cluster.cql_connection_patient(self.db_cluster.nodes[0]) as session:
session.execute(f"""
ALTER TABLE {table}
WITH per_partition_rate_limit = {{
'max_reads_per_second': {reads_limit},
'max_writes_per_second': {writes_limit}
}}
""")
def _truncate_table(self, table: str):
with self.db_cluster.cql_connection_patient(self.db_cluster.nodes[0]) as session:
session.execute(f"TRUNCATE TABLE {table}", timeout=300)
@staticmethod
def _get_disk_write_max_throughput(node: BaseNode):
result = node.remoter.run("cat /etc/scylla.d/io_properties.yaml", ignore_status=True)
if result.ok:
io_properties = result.stdout
else:
LOGGER.warning("Failed to read io_properties.yaml file. Taking defaults.")
io_properties = """
disks:
- mountpoint: /var/lib/scylla
read_iops: 540317
read_bandwidth: 1914761472
write_iops: 300319
write_bandwidth: 116202240
"""
return yaml.safe_load(io_properties)["disks"][0]["write_bandwidth"] / 1024 / 1024
def _set_compaction_limit(self, limit_mb: int = 0):
for node in self.db_cluster.nodes:
with node.remote_scylla_yaml() as scylla_yml:
scylla_yml.compaction_throughput_mb_per_sec = limit_mb
mark = node.mark_log()
node.reload_config()
node.follow_system_log(patterns=[f"Set compaction bandwidth to {limit_mb}MB/s"], start_from_beginning=True)
self._wait_for_compaction_limit_set(node, mark=mark, limit_mb=limit_mb)
@staticmethod
def _wait_for_compaction_limit_set(node, mark, limit_mb, timeout=60):
"""Waits for compaction limit set by reading node log and waiting for proper log line."""
start_time = time.time()
watch_for = f"Set compaction bandwidth to {limit_mb}MB/s"
with open(node.system_log, encoding="utf-8") as log_file:
log_file.seek(mark)
while time.time() - start_time < timeout:
line = log_file.readline()
if watch_for in line:
LOGGER.info("set compaction limit to %s on node %s", limit_mb, node.name)
return
raise TimeoutError(f"Timeout during setting compaction limit on {node.name}")