runtime: X509Chain building is slow on Linux
The boxes running this are not directly comparable, however the magnitude of the difference is such that it doesn’t really matter.
On my Windows 10 machine, I get numbers like this:
1000 iterations: 00:00:00.1357884
1000 iterations: 00:00:00.1070347
1000 iterations: 00:00:00.1002223
1000 iterations: 00:00:00.1117821
1000 iterations: 00:00:00.1120664
On my Ubuntu 18.04 machine, I get numbers like this:
1000 iterations: 00:00:07.8729786
1000 iterations: 00:00:07.4546996
1000 iterations: 00:00:07.2997272
1000 iterations: 00:00:07.3354975
1000 iterations: 00:00:07.4212720
Repro:
using System;
using System.Diagnostics;
using System.Linq;
using System.Security.Cryptography.X509Certificates;
class Program
{
static void Main()
{
const int Iters = 1000;
var sw = new Stopwatch();
using (X509Certificate2 originalCert = GetServerCertificate())
{
while (true)
{
Console.Write($"{Iters} iterations: ");
sw.Restart();
for (int i = 0; i < Iters; i++)
{
using (var chain = new X509Chain())
using (var cert = new X509Certificate2(originalCert))
{
chain.Build(cert);
}
}
sw.Stop();
Console.WriteLine(sw.Elapsed);
}
}
}
private static X509Certificate2 GetServerCertificate()
{
var certCollection = new X509Certificate2Collection();
certCollection.Import(s_testCertBytes, "testcertificate", X509KeyStorageFlags.DefaultKeySet);
return certCollection.Cast<X509Certificate2>().First(c => c.HasPrivateKey);
}
private static readonly byte[] s_testCertBytes = Convert.FromBase64String(@"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");
}
cc: @bartonjs
About this issue
- Original URL
- State: closed
- Created 5 years ago
- Reactions: 1
- Comments: 21 (14 by maintainers)
I run @stephentoub’s above test “X509Chain build” with dotnet 3.0 nightly build 3.0.100-preview6-012026, and see huge improvement.
My question is do you have a plan to backport to dotnet core 2.1, 2.2?
After the fix: 1000 iterations: 00:00:00.0974405 1000 iterations: 00:00:00.0484670 1000 iterations: 00:00:00.0442556 1000 iterations: 00:00:00.0457606 1000 iterations: 00:00:00.0490085
Before the fix: 1000 iterations: 00:00:03.4504450 1000 iterations: 00:00:03.3203837 1000 iterations: 00:00:03.3208841 1000 iterations: 00:00:03.3144381 1000 iterations: 00:00:03.3357802
@sebastienros / @halter73 : FYI, a big perf improvement just went in for X509Chain.Build on Linux. Using one of @stephentoub’s SslStream tests we saw about 4 minutes reduction on 10,000 handshakes, ~24ms per. Hopefully your TLS benchmarks agree when you get a build with this change.
Today’s investigation says that if LM\Root, LM\CA, CU\Root, CU\CA, and CU\My were all built into permanently cached STACK_OF(X509*) values (SafeX509StackHandle) that tight-loop chains move from ~30ms to ~0.95ms on my test machine (1001 iterations, discounting the first one from the sample set) when the chain is valid and no revocation checks are performed.
Ideally the cache invalidation logic won’t add too much back to that.