def Run(benchmark_spec):
"""Run memtier against enterprise redis and measure latency and throughput.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
load_vms = benchmark_spec.vm_groups['clients']
redis_vm = benchmark_spec.vm_groups['servers'][0]
numa_pages_migrated, _ = redis_vm.RemoteCommand(
'cat /proc/vmstat | grep numa_pages_migrated')
numa_pages_migrated = numa_pages_migrated.split(' ')[1]
numa_balancing, _ = redis_vm.RemoteCommand(
'cat /proc/sys/kernel/numa_balancing')
setup_metadata = {
'numa_pages_migrated': numa_pages_migrated.rstrip(),
'numa_balancing': numa_balancing.rstrip(),
}
results = redis_enterprise.Run(redis_vm, load_vms, REDIS_PORT)
for result in results:
result.metadata.update(setup_metadata)
return results
def Run(benchmark_spec):
"""Run memtier against enterprise redis and measure latency and throughput.
Args:
benchmark_spec: The benchmark specification. Contains all data that is
required to run the benchmark.
Returns:
A list of sample.Sample objects.
"""
load_vms = benchmark_spec.vm_groups['clients']
redis_vms = benchmark_spec.vm_groups['servers']
redis_vm = redis_vms[0]
numa_pages_migrated, _ = redis_vm.RemoteCommand(
'cat /proc/vmstat | grep numa_pages_migrated')
numa_pages_migrated = numa_pages_migrated.split(' ')[1]
numa_balancing, _ = redis_vm.RemoteCommand(
'cat /proc/sys/kernel/numa_balancing')
setup_metadata = {
'numa_pages_migrated': numa_pages_migrated.rstrip(),
'numa_balancing': numa_balancing.rstrip(),
}
if _OPTIMIZE_THROUGHPUT.value:
optimizer = redis_enterprise.ThroughputOptimizer(
redis_vms, load_vms, REDIS_PORT)
optimal_throughput, results = optimizer.GetOptimalThroughput()
if not optimal_throughput:
raise errors.Benchmarks.RunError(
'Did not get a throughput under 1ms metric. Try decreasing the '
'--enterprise_redis_min_threads value.')
logging.info('Found optimal throughput %s', optimal_throughput)
else:
_, results = redis_enterprise.Run(redis_vms, load_vms, REDIS_PORT)
for result in results:
result.metadata.update(setup_metadata)
return results