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Add tests for casadm --set-param and --get-param options check

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Signed-off-by: Rafal Stefanowski <rafal.stefanowski@intel.com>
This commit is contained in:
Rafal Stefanowski 2020-01-24 13:58:32 +01:00
parent 445f0cb9b0
commit 15c8973f45
3 changed files with 378 additions and 1 deletions
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22
test/functional/api/cas/cache_config.py
View File

@ -105,6 +105,15 @@ class FlushParametersAlru:
and self.wake_up_time == other.wake_up_time
)
@staticmethod
def alru_params_range():
alru_params = FlushParametersAlru()
alru_params.activity_threshold = (500, 1000000)
alru_params.flush_max_buffers = (1, 10000)
alru_params.staleness_time = (1, 3600)
alru_params.wake_up_time = (1, 3600)
return alru_params
@staticmethod
def default_alru_params():
alru_params = FlushParametersAlru()
@ -126,6 +135,13 @@ class FlushParametersAcp:
and self.wake_up_time == other.wake_up_time
)
@staticmethod
def acp_params_range():
acp_params = FlushParametersAcp()
acp_params.flush_max_buffers = (1, 10000)
acp_params.wake_up_time = (0, 10000)
return acp_params
@staticmethod
def default_acp_params():
acp_params = FlushParametersAcp()
@ -139,6 +155,12 @@ class SeqCutOffParameters:
self.policy = policy
self.threshold = threshold
def __eq__(self, other):
return (
self.policy == other.policy
and self.threshold == other.threshold
)
@staticmethod
def default_seq_cut_off_params():
seq_cut_off_params = SeqCutOffParameters()

2
test/functional/api/cas/casadm.py
View File

@ -288,7 +288,7 @@ def set_param_cleaning_acp(cache_id: int, wake_up: int = None, flush_max_buffers
output = TestRun.executor.run(
set_param_cleaning_acp_cmd(
cache_id=str(cache_id),
wake_up=str(wake_up) if wake_up else None,
wake_up=str(wake_up) if wake_up is not None else None,
flush_max_buffers=str(flush_max_buffers) if flush_max_buffers else None))
if output.exit_code != 0:
raise CmdException("Error while setting acp cleaning policy parameters.", output)

355
test/functional/tests/cli/test_set_get_params.py Normal file
View File

@ -0,0 +1,355 @@
#
# Copyright(c) 2020 Intel Corporation
# SPDX-License-Identifier: BSD-3-Clause-Clear
#
import pytest
import random
from api.cas import casadm
from api.cas.cache_config import (
CacheMode,
CleaningPolicy,
FlushParametersAcp,
FlushParametersAlru,
SeqCutOffParameters,
SeqCutOffPolicy,
Time,
)
from core.test_run import TestRun
from storage_devices.disk import DiskType, DiskTypeSet, DiskTypeLowerThan
from test_utils.size import Size, Unit
# There should be at least 2 cache instances and 2 cores per cache
# for this test to run correctly.
caches_count = 2
cores_per_cache = 2
# Number of parameter checks for every cache mode and policy variation used in test.
# Every check is performed with different random value of every parameter within
# given policy.
number_of_checks = 10
@pytest.mark.parametrize("cache_mode", CacheMode)
@pytest.mark.require_disk("cache", DiskTypeSet([DiskType.optane, DiskType.nand]))
@pytest.mark.require_disk("core", DiskTypeLowerThan("cache"))
def test_set_get_seqcutoff_params(cache_mode):
"""
title: Test for setting and reading sequential cut-off parameters.
description: |
Verify that it is possible to set and read all available sequential cut-off
parameters using casadm --set-param and --get-param options.
pass_criteria:
- All sequential cut-off parameters are set to given values.
- All sequential cut-off parameters displays proper values.
"""
with TestRun.step("Partition cache and core devices"):
cache_dev, core_dev = storage_prepare()
with TestRun.step(
f"Start {caches_count} caches in {cache_mode} cache mode "
f"and add {cores_per_cache} cores per cache"
):
caches, cores = cache_prepare(cache_mode, cache_dev, core_dev)
with TestRun.step("Check sequential cut-off default parameters"):
default_seqcutoff_params = SeqCutOffParameters.default_seq_cut_off_params()
for i in range(caches_count):
for j in range(cores_per_cache):
check_seqcutoff_parameters(cores[i][j], default_seqcutoff_params)
with TestRun.step(
"Set new random values for sequential cut-off parameters for one core only"
):
for check in range(number_of_checks):
random_seqcutoff_params = new_seqcutoff_parameters_random_values()
cores[0][0].set_seq_cutoff_parameters(random_seqcutoff_params)
# Check changed parameters for first core:
check_seqcutoff_parameters(cores[0][0], random_seqcutoff_params)
# Check default parameters for other cores:
for j in range(1, cores_per_cache):
check_seqcutoff_parameters(cores[0][j], default_seqcutoff_params)
for i in range(1, caches_count):
for j in range(cores_per_cache):
check_seqcutoff_parameters(cores[i][j], default_seqcutoff_params)
with TestRun.step(
"Set new random values for sequential cut-off parameters "
"for all cores within given cache instance"
):
for check in range(number_of_checks):
random_seqcutoff_params = new_seqcutoff_parameters_random_values()
caches[0].set_seq_cutoff_parameters(random_seqcutoff_params)
# Check changed parameters for first cache instance:
for j in range(cores_per_cache):
check_seqcutoff_parameters(cores[0][j], random_seqcutoff_params)
# Check default parameters for other cache instances:
for i in range(1, caches_count):
for j in range(cores_per_cache):
check_seqcutoff_parameters(cores[i][j], default_seqcutoff_params)
with TestRun.step(
"Set new random values for sequential cut-off parameters for all cores"
):
for check in range(number_of_checks):
seqcutoff_params = []
for i in range(caches_count):
for j in range(cores_per_cache):
random_seqcutoff_params = new_seqcutoff_parameters_random_values()
seqcutoff_params.append(random_seqcutoff_params)
cores[i][j].set_seq_cutoff_parameters(random_seqcutoff_params)
for i in range(caches_count):
for j in range(cores_per_cache):
check_seqcutoff_parameters(
cores[i][j], seqcutoff_params[i * cores_per_cache + j]
)
@pytest.mark.parametrize("cache_mode", CacheMode)
@pytest.mark.parametrize("cleaning_policy", [CleaningPolicy.alru, CleaningPolicy.acp])
@pytest.mark.require_disk("cache", DiskTypeSet([DiskType.optane, DiskType.nand]))
@pytest.mark.require_disk("core", DiskTypeLowerThan("cache"))
def test_set_get_cleaning_params(cache_mode, cleaning_policy):
"""
title: Test for setting and reading cleaning parameters.
description: |
Verify that it is possible to set and read all available cleaning
parameters for all cleaning policies using casadm --set-param and
--get-param options.
pass_criteria:
- All cleaning parameters are set to given values.
- All cleaning parameters displays proper values.
"""
with TestRun.step("Partition cache and core devices"):
cache_dev, core_dev = storage_prepare()
with TestRun.step(
f"Start {caches_count} caches in {cache_mode} cache mode "
f"and add {cores_per_cache} cores per cache"
):
caches, cores = cache_prepare(cache_mode, cache_dev, core_dev)
with TestRun.step(f"Set cleaning policy to {cleaning_policy}"):
if cleaning_policy != CleaningPolicy.DEFAULT:
for i in range(caches_count):
caches[i].set_cleaning_policy(cleaning_policy)
for i in range(caches_count):
current_cleaning_policy = caches[i].get_cleaning_policy()
if current_cleaning_policy != cleaning_policy:
TestRun.fail(
f"Cleaning policy for cache nr {caches[i].cache_id} "
f"is {current_cleaning_policy}, should be {cleaning_policy}"
)
with TestRun.step(f"Check {cleaning_policy} cleaning policy default parameters"):
if cleaning_policy == CleaningPolicy.alru:
default_cleaning_params = FlushParametersAlru.default_alru_params()
if cleaning_policy == CleaningPolicy.acp:
default_cleaning_params = FlushParametersAcp.default_acp_params()
for i in range(caches_count):
check_cleaning_parameters(
caches[i], cleaning_policy, default_cleaning_params
)
with TestRun.step(
f"Set new random values for {cleaning_policy} "
f"cleaning policy parameters for one cache instance"
):
for check in range(number_of_checks):
random_cleaning_params = new_cleaning_parameters_random_values(
cleaning_policy
)
if cleaning_policy == CleaningPolicy.alru:
caches[0].set_params_alru(random_cleaning_params)
if cleaning_policy == CleaningPolicy.acp:
caches[0].set_params_acp(random_cleaning_params)
# Check changed parameters for first cache instance:
check_cleaning_parameters(
caches[0], cleaning_policy, random_cleaning_params
)
# Check default parameters for other cache instances:
for i in range(1, caches_count):
check_cleaning_parameters(
caches[i], cleaning_policy, default_cleaning_params
)
with TestRun.step(
f"Set new random values for {cleaning_policy} "
f"cleaning policy parameters for all cache instances"
):
for check in range(number_of_checks):
cleaning_params = []
for i in range(caches_count):
random_cleaning_params = new_cleaning_parameters_random_values(
cleaning_policy
)
cleaning_params.append(random_cleaning_params)
if cleaning_policy == CleaningPolicy.alru:
caches[i].set_params_alru(random_cleaning_params)
if cleaning_policy == CleaningPolicy.acp:
caches[i].set_params_acp(random_cleaning_params)
for i in range(caches_count):
check_cleaning_parameters(
caches[i], cleaning_policy, cleaning_params[i]
)
def storage_prepare():
cache_dev = TestRun.disks["cache"]
cache_parts = [Size(1, Unit.GibiByte)] * caches_count
cache_dev.create_partitions(cache_parts)
core_dev = TestRun.disks["core"]
core_parts = [Size(2, Unit.GibiByte)] * cores_per_cache * caches_count
core_dev.create_partitions(core_parts)
return cache_dev, core_dev
def cache_prepare(cache_mode, cache_dev, core_dev):
caches = []
for i in range(caches_count):
caches.append(
casadm.start_cache(cache_dev.partitions[i], cache_mode, force=True)
)
cores = [[] for i in range(caches_count)]
for i in range(caches_count):
for j in range(cores_per_cache):
core_partition_nr = i * cores_per_cache + j
cores[i].append(caches[i].add_core(core_dev.partitions[core_partition_nr]))
return caches, cores
def new_seqcutoff_parameters_random_values():
threshold_random_value = Size(random.randrange(1, 1000000), Unit.KibiByte)
policy_random_value = random.choice(list(SeqCutOffPolicy))
seqcutoff_params = SeqCutOffParameters()
seqcutoff_params.threshold = threshold_random_value
seqcutoff_params.policy = policy_random_value
return seqcutoff_params
def new_cleaning_parameters_random_values(cleaning_policy):
if cleaning_policy == CleaningPolicy.alru:
alru_params_range = FlushParametersAlru().alru_params_range()
wake_up_time_random_value = Time(
seconds=random.randint(*alru_params_range.wake_up_time)
)
staleness_time_random_value = Time(
seconds=random.randint(*alru_params_range.staleness_time)
)
flush_max_buffers_random_value = random.randint(
*alru_params_range.flush_max_buffers
)
activity_threshold_random_value = Time(
milliseconds=random.randint(*alru_params_range.activity_threshold)
)
cleaning_params = FlushParametersAlru()
cleaning_params.wake_up_time = wake_up_time_random_value
cleaning_params.staleness_time = staleness_time_random_value
cleaning_params.flush_max_buffers = flush_max_buffers_random_value
cleaning_params.activity_threshold = activity_threshold_random_value
if cleaning_policy == CleaningPolicy.acp:
acp_params_range = FlushParametersAcp().acp_params_range()
wake_up_time_random_value = Time(
milliseconds=random.randint(*acp_params_range.wake_up_time)
)
flush_max_buffers_random_value = random.randint(
*acp_params_range.flush_max_buffers
)
cleaning_params = FlushParametersAcp()
cleaning_params.wake_up_time = wake_up_time_random_value
cleaning_params.flush_max_buffers = flush_max_buffers_random_value
return cleaning_params
def check_seqcutoff_parameters(core, seqcutoff_params):
current_seqcutoff_params = core.get_seq_cut_off_parameters()
failed_params = ""
if current_seqcutoff_params.threshold != seqcutoff_params.threshold:
failed_params += (
f"Threshold is {current_seqcutoff_params.threshold}, "
f"should be {seqcutoff_params.threshold}\n"
)
if current_seqcutoff_params.policy != seqcutoff_params.policy:
failed_params += (
f"Policy is {current_seqcutoff_params.policy}, "
f"should be {seqcutoff_params.policy}\n"
)
if failed_params:
TestRun.LOGGER.error(
f"Sequential cut-off parameters are not correct "
f"for {core.system_path}:\n{failed_params}"
)
def check_cleaning_parameters(cache, cleaning_policy, cleaning_params):
if cleaning_policy == CleaningPolicy.alru:
current_cleaning_params = cache.get_flush_parameters_alru()
failed_params = ""
if current_cleaning_params.wake_up_time != cleaning_params.wake_up_time:
failed_params += (
f"Wake Up time is {current_cleaning_params.wake_up_time}, "
f"should be {cleaning_params.wake_up_time}\n"
)
if current_cleaning_params.staleness_time != cleaning_params.staleness_time:
failed_params += (
f"Staleness Time is {current_cleaning_params.staleness_time}, "
f"should be {cleaning_params.staleness_time}\n"
)
if (
current_cleaning_params.flush_max_buffers
!= cleaning_params.flush_max_buffers
):
failed_params += (
f"Flush Max Buffers is {current_cleaning_params.flush_max_buffers}, "
f"should be {cleaning_params.flush_max_buffers}\n"
)
if (
current_cleaning_params.activity_threshold
!= cleaning_params.activity_threshold
):
failed_params += (
f"Activity Threshold is {current_cleaning_params.activity_threshold}, "
f"should be {cleaning_params.activity_threshold}\n"
)
if failed_params:
TestRun.LOGGER.error(
f"ALRU cleaning policy parameters are not correct "
f"for cache nr {cache.cache_id}:\n{failed_params}"
)
if cleaning_policy == CleaningPolicy.acp:
current_cleaning_params = cache.get_flush_parameters_acp()
failed_params = ""
if current_cleaning_params.wake_up_time != cleaning_params.wake_up_time:
failed_params += (
f"Wake Up time is {current_cleaning_params.wake_up_time}, "
f"should be {cleaning_params.wake_up_time}\n"
)
if (
current_cleaning_params.flush_max_buffers
!= cleaning_params.flush_max_buffers
):
failed_params += (
f"Flush Max Buffers is {current_cleaning_params.flush_max_buffers}, "
f"should be {cleaning_params.flush_max_buffers}\n"
)
if failed_params:
TestRun.LOGGER.error(
f"ACP cleaning policy parameters are not correct "
f"for cache nr {cache.cache_id}:\n{failed_params}"
)