memgraph/tests/mgbench/benchmark_context.py
Andi 2fd34489af
Add mgbench support for disk storage and analytical mode (#1286)
* Add mgbench support for disk storage and analytical mode
2023-10-06 10:19:29 +02:00

98 lines
3.8 KiB
Python

# Copyright 2023 Memgraph Ltd.
#
# Use of this software is governed by the Business Source License
# included in the file licenses/BSL.txt; by using this file, you agree to be bound by the terms of the Business Source
# License, and you may not use this file except in compliance with the Business Source License.
#
# As of the Change Date specified in that file, in accordance with
# the Business Source License, use of this software will be governed
# by the Apache License, Version 2.0, included in the file
# licenses/APL.txt.
from workload_mode import (
BENCHMARK_MODE_ISOLATED,
BENCHMARK_MODE_MIXED,
BENCHMARK_MODE_REALISTIC,
)
class BenchmarkContext:
"""
Class for holding information on what type of benchmark is being executed
"""
def __init__(
self,
benchmark_target_workload: str = None, # Workload that needs to be executed (dataset/variant/group/query)
vendor_binary: str = None,
vendor_name: str = None,
client_binary: str = None,
num_workers_for_import: int = None,
num_workers_for_benchmark: int = None,
single_threaded_runtime_sec: int = 0,
query_count_lower_bound: int = 0,
no_load_query_counts: bool = False,
no_save_query_counts: bool = False,
export_results: str = None,
export_results_in_memory_analytical: str = None,
export_results_on_disk_txn: str = None,
temporary_directory: str = None,
workload_mixed: str = None, # Default mode is isolated, mixed None
workload_realistic: str = None, # Default mode is isolated, realistic None
time_dependent_execution: int = 0,
warm_up: str = None,
performance_tracking: bool = False,
no_authorization: bool = True,
customer_workloads: str = None,
vendor_args: dict = {},
) -> None:
self.benchmark_target_workload = benchmark_target_workload
self.vendor_binary = vendor_binary
self.vendor_name = vendor_name
self.client_binary = client_binary
self.num_workers_for_import = num_workers_for_import
self.num_workers_for_benchmark = num_workers_for_benchmark
self.single_threaded_runtime_sec = single_threaded_runtime_sec
self.query_count_lower_bound = query_count_lower_bound
self.no_load_query_counts = no_load_query_counts
self.no_save_query_counts = no_save_query_counts
self.export_results = export_results
self.export_results_in_memory_analytical = export_results_in_memory_analytical
self.export_results_on_disk_txn = export_results_on_disk_txn
self.temporary_directory = temporary_directory
assert (
workload_mixed is None or workload_realistic is None
), "Cannot run both mixed and realistic workload, please select one!"
if workload_mixed != None:
self.mode = BENCHMARK_MODE_MIXED
self.mode_config = workload_mixed
elif workload_realistic != None:
self.mode = BENCHMARK_MODE_REALISTIC
self.mode_config = workload_realistic
else:
self.mode = BENCHMARK_MODE_ISOLATED
self.mode_config = None
self.time_dependent_execution = time_dependent_execution
self.performance_tracking = performance_tracking
self.warm_up = warm_up
self.no_authorization = no_authorization
self.customer_workloads = customer_workloads
self.vendor_args = vendor_args
self.active_workload = None
self.active_variant = None
def set_active_workload(self, workload: str) -> None:
self.active_workload = workload
def get_active_workload(self) -> str:
return self.active_workload
def set_active_variant(self, variant: str) -> None:
self.active_variant = variant
def get_active_variant(self) -> str:
return self.active_variant