public void ClassicLru()
{
Func <int, int> func = x => x;
for (int i = 0; i < sampleCount; i++)
{
classicLru.GetOrAdd(samples[i], func);
}
}
public void GlobalSetup()
{
Func <int, int> func = x => x;
for (int i = 0; i < 6; i++)
{
dictionary.GetOrAdd(1, func);
concurrentLru.GetOrAdd(i, func);
fastConcurrentLru.GetOrAdd(i, func);
concurrentTLru.GetOrAdd(i, func);
fastConcurrentTLru.GetOrAdd(i, func);
classicLru.GetOrAdd(i, func);
stringKeys[i] = i.ToString();
memoryCache.Set(stringKeys[i], "test", new CacheItemPolicy());
}
}
public void WhenItemIsRemovedItIsDisposed()
{
var lruOfDisposable = new ClassicLru <int, DisposableItem>(1, 6, EqualityComparer <int> .Default);
var disposableValueFactory = new DisposableValueFactory();
lruOfDisposable.GetOrAdd(1, disposableValueFactory.Create);
lruOfDisposable.TryRemove(1);
disposableValueFactory.Items[1].IsDisposed.Should().BeTrue();
}
public void WhenValueExpiresItIsDisposed()
{
var lruOfDisposable = new ClassicLru <int, DisposableItem>(1, 6, EqualityComparer <int> .Default);
var disposableValueFactory = new DisposableValueFactory();
for (int i = 0; i < 7; i++)
{
lruOfDisposable.GetOrAdd(i, disposableValueFactory.Create);
}
disposableValueFactory.Items[0].IsDisposed.Should().BeTrue();
disposableValueFactory.Items[1].IsDisposed.Should().BeFalse();
}
public void WhenItemIsAddedCountIsCorrect()
{
lru.Count.Should().Be(0);
lru.GetOrAdd(1, valueFactory.Create);
lru.Count.Should().Be(1);
}
public void ConstructAddAndRetrieveWithDefaultCtorReturnsValue()
{
var x = new ClassicLru <int, int>(3);
x.GetOrAdd(1, k => k).Should().Be(1);
}
static void Main(string[] args)
{
double[] sValues = { 0.5, 0.86 };
// % of total number of items
double[] cacheSizes = { 0.0125, 0.025, 0.05, 0.075, 0.1, 0.125, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4 };
List <Analysis> analysis = new List <Analysis>();
foreach (var sValue in sValues)
{
foreach (var cacheSize in cacheSizes)
{
analysis.Add(new Analysis {
N = n,
s = sValue,
Samples = sampleCount,
CacheSizePercent = cacheSize
});
}
}
int[][] zipdfDistribution = new int[sValues.Length][];
for (int i = 0; i < sValues.Length; i++)
{
Console.WriteLine($"Generating Zipfan distribution with {sampleCount} samples, s = {sValues[i]}, N = {n}");
var sw = Stopwatch.StartNew();
zipdfDistribution[i] = new int[sampleCount];
Zipf.Samples(zipdfDistribution[i], sValues[i], n);
Console.WriteLine($"Took {sw.Elapsed}.");
}
List <AnalysisResult> results = new List <AnalysisResult>();
Func <int, int> func = x => x;
foreach (var a in analysis)
{
a.WriteSummaryToConsole();
int cacheSize = (int)(a.N * a.CacheSizePercent);
var concurrentLru = new ConcurrentLru <int, int>(1, cacheSize, EqualityComparer <int> .Default);
var classicLru = new ClassicLru <int, int>(1, cacheSize, EqualityComparer <int> .Default);
var concurrentLruScan = new ConcurrentLru <int, int>(1, cacheSize, EqualityComparer <int> .Default);
var classicLruScan = new ClassicLru <int, int>(1, cacheSize, EqualityComparer <int> .Default);
var d = a.s == 0.5 ? 0 : 1;
var lruSw = Stopwatch.StartNew();
for (int i = 0; i < sampleCount; i++)
{
concurrentLru.GetOrAdd(zipdfDistribution[d][i], func);
}
lruSw.Stop();
Console.WriteLine($"concurrentLru size={cacheSize} took {lruSw.Elapsed}.");
var clruSw = Stopwatch.StartNew();
for (int i = 0; i < sampleCount; i++)
{
classicLru.GetOrAdd(zipdfDistribution[d][i], func);
}
clruSw.Stop();
Console.WriteLine($"classic lru size={cacheSize} took {clruSw.Elapsed}.");
var lruSwScan = Stopwatch.StartNew();
for (int i = 0; i < sampleCount; i++)
{
concurrentLruScan.GetOrAdd(zipdfDistribution[d][i], func);
concurrentLruScan.GetOrAdd(i % n, func);
}
lruSwScan.Stop();
Console.WriteLine($"concurrentLruScan lru size={cacheSize} took {lruSwScan.Elapsed}.");
var clruSwScan = Stopwatch.StartNew();
for (int i = 0; i < sampleCount; i++)
{
classicLruScan.GetOrAdd(zipdfDistribution[d][i], func);
classicLruScan.GetOrAdd(i % n, func);
}
clruSwScan.Stop();
Console.WriteLine($"classicLruScan lru size={cacheSize} took {clruSwScan.Elapsed}.");
results.Add(new AnalysisResult
{
Cache = "ClassicLru",
N = a.N,
s = a.s,
CacheSizePercent = a.CacheSizePercent * 100.0,
Samples = a.Samples,
IsScan = false,
HitRatio = classicLru.HitRatio * 100.0,
Duration = clruSw.Elapsed,
});
results.Add(new AnalysisResult
{
Cache = "ConcurrentLru",
N = a.N,
s = a.s,
CacheSizePercent = a.CacheSizePercent * 100.0,
Samples = a.Samples,
IsScan = false,
HitRatio = concurrentLru.HitRatio * 100.0,
Duration = lruSw.Elapsed,
});
results.Add(new AnalysisResult
{
Cache = "ClassicLru",
N = a.N,
s = a.s,
CacheSizePercent = a.CacheSizePercent * 100.0,
Samples = a.Samples,
IsScan = true,
HitRatio = classicLruScan.HitRatio * 100.0,
Duration = clruSwScan.Elapsed,
});
results.Add(new AnalysisResult
{
Cache = "ConcurrentLru",
N = a.N,
s = a.s,
CacheSizePercent = a.CacheSizePercent * 100.0,
Samples = a.Samples,
IsScan = true,
HitRatio = concurrentLruScan.HitRatio * 100.0,
Duration = lruSwScan.Elapsed,
});
}
AnalysisResult.WriteToConsole(results);
AnalysisResult.WriteToFile("results.csv", results);
Console.ReadLine();
}
