private static void RunBencher(IBencher bencher)
{
bencher.ResetResults();
if (PerformSetBenchmarks)
{
// set benches
WriteLine("Set fetches");
WriteLine("-------------------------");
for (int i = 0; i < LoopAmount; i++)
{
var result = bencher.PerformSetBenchmark();
ReportSetResult(bencher, result);
// avoid having the GC collect in the middle of a run.
GC.Collect();
GC.WaitForPendingFinalizers();
GC.Collect();
}
}
if (PerformIndividualBenchMarks)
{
// individual benches
WriteLine("Single element fetches");
WriteLine("-------------------------");
for (int i = 0; i < LoopAmount; i++)
{
var result = bencher.PerformIndividualBenchMark(KeysForIndividualFetches);
ReportIndividualResult(bencher, result);
// avoid having the GC collect in the middle of a run.
GC.Collect();
GC.WaitForPendingFinalizers();
GC.Collect();
if (ApplyAntiFloodForVMUsage)
{
// sleep is to avoid hammering the network layer on the target server. If the target server is a VM, it might stall once or twice
// during benching, which is not what we want at it can skew the results a lot. In a very short time, a lot of queries are executed
// on the target server (LoopAmount * IndividualKeysAmount), which will hurt performance on VMs with very fast frameworks in some
// cases in some runs (so more than 2 runs are slow).
Thread.Sleep(400);
}
}
}
}
private static void RunBencher(IBencher bencher)
{
bencher.ResetResults();
if (PerformSetBenchmarks)
{
// set benches
Console.WriteLine("Set fetches");
Console.WriteLine("-------------------------");
for (int i = 0; i < LoopAmount; i++)
{
var result = bencher.PerformSetBenchmark();
ReportSetResult(bencher, result);
// avoid having the GC collect in the middle of a run.
GC.Collect();
GC.WaitForPendingFinalizers();
GC.Collect();
}
}
if (PerformIndividualBenchMarks)
{
// individual benches
Console.WriteLine("Single element fetches");
Console.WriteLine("-------------------------");
for (int i = 0; i < LoopAmount; i++)
{
var result = bencher.PerformIndividualBenchMark(KeysForIndividualFetches);
ReportIndividualResult(bencher, result);
// avoid having the GC collect in the middle of a run.
GC.Collect();
GC.WaitForPendingFinalizers();
GC.Collect();
if(ApplyAntiFloodForVMUsage)
{
// sleep is to avoid hammering the network layer on the target server. If the target server is a VM, it might stall once or twice
// during benching, which is not what we want at it can skew the results a lot. In a very short time, a lot of queries are executed
// on the target server (LoopAmount * IndividualKeysAmount), which will hurt performance on VMs with very fast frameworks in some
// cases in some runs (so more than 2 runs are slow).
Thread.Sleep(1000);
}
}
}
}
private static void RunBencher(IBencher bencher)
{
bencher.ResetResults();
Console.WriteLine("First one warm-up run of each bench type to initialize constructs. Results will not be collected.");
var result = bencher.PerformSetBenchmark(discardResults: true);
OriginalController.ReportSetResult(result);
if (bencher.SupportsEagerLoading)
{
result = bencher.PerformEagerLoadBenchmark(discardResults: true);
OriginalController.ReportEagerLoadResult(result);
if (PerformAsyncBenchmarks && bencher.SupportsAsync)
{
result = bencher.PerformAsyncEagerLoadBenchmark(discardResults: true);
OriginalController.ReportEagerLoadResult(result);
}
}
if (PerformIndividualBenchMarks)
{
result = bencher.PerformIndividualBenchMark(KeysForIndividualFetches, discardResults: true);
OriginalController.ReportIndividualResult(result);
}
Console.WriteLine("\nStarting bench runs...");
if (PerformSetBenchmarks)
{
// set benches
Console.WriteLine("Set fetches");
Console.WriteLine("-------------------------");
for (int i = 0; i < LoopAmount; i++)
{
result = bencher.PerformSetBenchmark();
OriginalController.ReportSetResult(result);
// avoid having the GC collect in the middle of a run.
OriginalController.ForceGCCollect();
}
}
if (PerformIndividualBenchMarks)
{
// individual benches
Console.WriteLine("\nSingle element fetches");
Console.WriteLine("-------------------------");
for (int i = 0; i < LoopAmount; i++)
{
result = bencher.PerformIndividualBenchMark(KeysForIndividualFetches);
OriginalController.ReportIndividualResult(result);
// avoid having the GC collect in the middle of a run.
OriginalController.ForceGCCollect();
if (ApplyAntiFloodForVMUsage)
{
// sleep is to avoid hammering the network layer on the target server. If the target server is a VM, it might stall once or twice
// during benching, which is not what we want at it can skew the results a lot. In a very short time, a lot of queries are executed
// on the target server (LoopAmount * IndividualKeysAmount), which will hurt performance on VMs with very fast frameworks in some
// cases in some runs (so more than 2 runs are slow).
#pragma warning disable CS0162
Thread.Sleep(400);
#pragma warning restore CS0162
}
}
}
if (PerformEagerLoadBenchmarks && bencher.SupportsEagerLoading)
{
// eager load benches
Console.WriteLine("\nEager Load fetches");
Console.WriteLine("-------------------------");
for (int i = 0; i < LoopAmount; i++)
{
result = bencher.PerformEagerLoadBenchmark();
OriginalController.ReportEagerLoadResult(result);
// avoid having the GC collect in the middle of a run.
OriginalController.ForceGCCollect();
}
}
if (PerformAsyncBenchmarks && bencher.SupportsEagerLoading && bencher.SupportsAsync)
{
// eager load benches
Console.WriteLine("\nAsync eager Load fetches");
Console.WriteLine("-------------------------");
for (int i = 0; i < LoopAmount; i++)
{
result = bencher.PerformAsyncEagerLoadBenchmark(discardResults: false);
OriginalController.ReportEagerLoadResult(result);
// avoid having the GC collect in the middle of a run.
OriginalController.ForceGCCollect();
}
}
}
private static void RunMemoryAnalysisForBencher(IBencher bencher)
{
Console.WriteLine("\nStarting bench runs...");
BenchResult result;
if (PerformSetBenchmarks)
{
// set benches
Console.WriteLine("Set fetches");
Console.WriteLine("-------------------------");
result = bencher.PerformSetBenchmark(discardResults: true);
OriginalController.ReportMemoryUsageSetResult(result);
bencher.MemorySetBenchmarks = result.NumberOfBytesAllocated;
// avoid having the GC collect in the middle of a run.
OriginalController.ForceGCCollect();
}
if (PerformIndividualBenchMarks)
{
// individual benches
Console.WriteLine("\nSingle element fetches");
Console.WriteLine("-------------------------");
result = bencher.PerformIndividualBenchMark(KeysForIndividualFetches, discardResults: true);
OriginalController.ReportMemoryUsageIndividualResult(result);
bencher.MemoryIndividualBenchmarks = result.NumberOfBytesAllocated;
// avoid having the GC collect in the middle of a run.
OriginalController.ForceGCCollect();
if (ApplyAntiFloodForVMUsage)
{
// sleep is to avoid hammering the network layer on the target server. If the target server is a VM, it might stall once or twice
// during benching, which is not what we want at it can skew the results a lot. In a very short time, a lot of queries are executed
// on the target server (LoopAmount * IndividualKeysAmount), which will hurt performance on VMs with very fast frameworks in some
// cases in some runs (so more than 2 runs are slow).
#pragma warning disable CS0162
Thread.Sleep(400);
#pragma warning restore CS0162
}
}
if (PerformEagerLoadBenchmarks && bencher.SupportsEagerLoading)
{
// eager load benches
Console.WriteLine("\nEager Load fetches");
Console.WriteLine("-------------------------");
result = bencher.PerformEagerLoadBenchmark(discardResults: true);
OriginalController.ReportMemoryUsageEagerLoadResult(result);
bencher.MemoryEagerLoadBenchmarks = result.NumberOfBytesAllocated;
// avoid having the GC collect in the middle of a run.
OriginalController.ForceGCCollect();
}
if (PerformAsyncBenchmarks && bencher.SupportsEagerLoading && bencher.SupportsAsync)
{
// eager load benches
Console.WriteLine("\nAsync eager Load fetches");
Console.WriteLine("-------------------------");
result = bencher.PerformAsyncEagerLoadBenchmark(discardResults: true);
OriginalController.ReportMemoryUsageEagerLoadResult(result);
bencher.MemoryAsyncEagerLoadBenchmarks = result.NumberOfBytesAllocated;
// avoid having the GC collect in the middle of a run.
OriginalController.ForceGCCollect();
}
}
private static void RunBencher(IBencher bencher)
{
bencher.ResetResults();
Console.WriteLine("First one warm-up run to initialize constructs. Results will not be collected.");
var result = bencher.PerformSetBenchmark(discardResults: true);
ReportSetResult(bencher, result);
Console.WriteLine("Starting bench runs...");
if(PerformSetBenchmarks)
{
// set benches
Console.WriteLine("Set fetches");
Console.WriteLine("-------------------------");
for(int i = 0; i < LoopAmount; i++)
{
result = bencher.PerformSetBenchmark();
ReportSetResult(bencher, result);
// avoid having the GC collect in the middle of a run.
GC.Collect();
GC.WaitForPendingFinalizers();
GC.Collect();
}
}
if (PerformIndividualBenchMarks)
{
// individual benches
Console.WriteLine("Single element fetches");
Console.WriteLine("-------------------------");
for (int i = 0; i < LoopAmount; i++)
{
result = bencher.PerformIndividualBenchMark(KeysForIndividualFetches);
ReportIndividualResult(bencher, result);
// avoid having the GC collect in the middle of a run.
GC.Collect();
GC.WaitForPendingFinalizers();
GC.Collect();
if(ApplyAntiFloodForVMUsage)
{
// sleep is to avoid hammering the network layer on the target server. If the target server is a VM, it might stall once or twice
// during benching, which is not what we want at it can skew the results a lot. In a very short time, a lot of queries are executed
// on the target server (LoopAmount * IndividualKeysAmount), which will hurt performance on VMs with very fast frameworks in some
// cases in some runs (so more than 2 runs are slow).
#pragma warning disable CS0162
#if DNXCORE50
throw new NotImplementedException(nameof(ApplyAntiFloodForVMUsage));
#else
Thread.Sleep(400);
#endif
#pragma warning restore CS0162
}
}
}
}
private static void RunBencher(IBencher bencher)
{
bencher.ResetResults();
Console.WriteLine(
"First one warm-up run of each bench type to initialize constructs. Results will not be collected.");
BenchResult result = bencher.PerformSetBenchmark(discardResults: true);
ReportSetResult(result);
if (bencher.SupportsEagerLoading)
{
result = bencher.PerformEagerLoadBenchmark(discardResults: true);
ReportSetResult(result);
}
if (PerformIndividualBenchMarks)
{
result = bencher.PerformIndividualBenchMark(KeysForIndividualFetches, discardResults: true);
ReportIndividualResult(bencher, result);
}
Console.WriteLine("\nStarting bench runs...");
if (PerformSetBenchmarks)
{
// set benches
Console.WriteLine("Set fetches");
Console.WriteLine("-------------------------");
for (int i = 0; i < LoopAmount; i++)
{
result = bencher.PerformSetBenchmark();
ReportSetResult(result);
// avoid having the GC collect in the middle of a run.
GC.Collect();
GC.WaitForPendingFinalizers();
GC.Collect();
}
}
if (PerformIndividualBenchMarks)
{
// individual benches
Console.WriteLine("\nSingle element fetches");
Console.WriteLine("-------------------------");
for (int i = 0; i < LoopAmount; i++)
{
result = bencher.PerformIndividualBenchMark(KeysForIndividualFetches);
ReportIndividualResult(bencher, result);
// avoid having the GC collect in the middle of a run.
GC.Collect();
GC.WaitForPendingFinalizers();
GC.Collect();
}
}
if (PerformEagerLoadBenchmarks && bencher.SupportsEagerLoading)
{
// eager load benches
Console.WriteLine("\nEager Load fetches");
Console.WriteLine("-------------------------");
for (int i = 0; i < LoopAmount; i++)
{
result = bencher.PerformEagerLoadBenchmark();
ReportEagerLoadResult(bencher, result);
// avoid having the GC collect in the middle of a run.
GC.Collect();
GC.WaitForPendingFinalizers();
GC.Collect();
}
}
}
