import pytest
from api.cas.cache_config import CacheMode, CacheLineSize, CacheModeTrait
from api.cas.casadm import OutputFormat, print_statistics, start_cache
from core.test_run import TestRun
from storage_devices.disk import DiskType, DiskTypeSet, DiskTypeLowerThan
from test_tools.dd import Dd
from test_tools.disk_utils import Filesystem
from test_utils.size import Size, Unit
iterations = 64
cache_size = Size(8, Unit.GibiByte)
@pytest.mark.parametrizex("cache_line_size", CacheLineSize)
@pytest.mark.parametrizex("cache_mode", CacheMode.with_any_trait(
CacheModeTrait.InsertRead | CacheModeTrait.InsertWrite))
@pytest.mark.parametrizex("test_object", ["cache", "core"])
@pytest.mark.require_disk("cache", DiskTypeSet([DiskType.optane, DiskType.nand]))
@pytest.mark.require_disk("core", DiskTypeLowerThan("cache"))
def test_output_consistency(cache_line_size, cache_mode, test_object):
"""
title: Test consistency between different cache and core statistics' outputs.
description: |
Check if OpenCAS's statistics for cache and core are consistent
regardless of the output format.
pass_criteria:
- Statistics in CSV format matches statistics in table format.
"""
with TestRun.step("Prepare cache and core."):
cache_dev = TestRun.disks['cache']
cache_dev.create_partitions([cache_size])
CacheMode,
CacheModeTrait,
CleaningPolicy,
FlushParametersAcp,
CacheLineSize,
Time,
)
from test_tools.blktrace import BlkTrace, BlkTraceMask, ActionKind, RwbsKind
@pytest.mark.parametrizex(
"cache_line_size",
[CacheLineSize.LINE_4KiB, CacheLineSize.LINE_16KiB, CacheLineSize.LINE_64KiB],
)
@pytest.mark.parametrizex(
"cache_mode", CacheMode.with_any_trait(CacheModeTrait.LazyWrites)
)
@pytest.mark.require_disk("cache", DiskTypeSet([DiskType.optane, DiskType.nand]))
@pytest.mark.require_disk("core", DiskTypeLowerThan("cache"))
def test_acp_param_flush_max_buffers(cache_line_size, cache_mode):
"""
title: Functional test for ACP flush-max-buffers parameter.
description: |
Verify if there is appropriate number of I/O requests between wake-up time intervals,
which depends on flush-max-buffer parameter.
pass_criteria:
- ACP triggered dirty data flush
- Number of writes to core is lower or equal than flush_max_buffers
"""
with TestRun.step("Test prepare."):
buffer_values = get_random_list(
write_counter += 1
TestRun.LOGGER.info(f"Writes to chunk: {write_counter}")
if all_writes_ok:
TestRun.LOGGER.info("All sectors written in proper order.")
@pytest.mark.parametrizex(
"cache_line_size",
[
CacheLineSize.LINE_4KiB, CacheLineSize.LINE_16KiB,
CacheLineSize.LINE_64KiB
],
)
@pytest.mark.parametrizex("cache_mode",
CacheMode.with_any_trait(CacheModeTrait.LazyWrites))
@pytest.mark.require_disk("cache",
DiskTypeSet([DiskType.optane, DiskType.nand]))
@pytest.mark.require_disk("core", DiskTypeSet([DiskType.hdd, DiskType.hdd4k]))
def test_acp_param_flush_max_buffers(cache_line_size, cache_mode):
"""
title: Functional test for ACP flush-max-buffers parameter.
description: |
Verify if there is appropriate number of I/O requests between wake-up time intervals,
which depends on flush-max-buffer parameter.
pass_criteria:
- ACP triggered dirty data flush
- Number of writes to core is lower or equal than flush_max_buffers
"""
with TestRun.step("Test prepare."):
buffer_values = get_random_list(
from api.cas.cache_config import CacheMode, CacheLineSize, CacheModeTrait
from api.cas.casadm import OutputFormat, print_statistics, start_cache
from core.test_run import TestRun
from storage_devices.disk import DiskType, DiskTypeSet, DiskTypeLowerThan
from test_tools.dd import Dd
from test_tools.disk_utils import Filesystem
from test_utils.size import Size, Unit
iterations = 64
cache_size = Size(8, Unit.GibiByte)
@pytest.mark.parametrizex("cache_line_size", CacheLineSize)
@pytest.mark.parametrizex(
"cache_mode",
CacheMode.with_any_trait(CacheModeTrait.InsertRead
| CacheModeTrait.InsertWrite))
@pytest.mark.parametrizex("test_object", ["cache", "core"])
@pytest.mark.require_disk("cache",
DiskTypeSet([DiskType.optane, DiskType.nand]))
@pytest.mark.require_disk("core", DiskTypeLowerThan("cache"))
def test_output_consistency(cache_line_size, cache_mode, test_object):
"""
title: Test consistency between different cache and core statistics' outputs.
description: |
Check if OpenCAS's statistics for cache and core are consistent
regardless of the output format.
pass_criteria:
- Statistics in CSV format matches statistics in table format.
"""
with TestRun.step("Prepare cache and core."):
cache_dev = TestRun.disks['cache']
