在服务工作负荷期间模拟故障
Azure Service Fabric 中的可测试性方案可让开发人员不用再担心如何处理单个故障。 然而也存在一些方案,可能需要客户端工作负荷与故障有明显的交错。 客户端工作负荷与故障的交错确保在发生故障时,服务实际在执行某些操作。 考虑到可测试性功能提供的控制等级,这些交错应该在精确的工作负荷执行点进行。 这种在应用程序的不同状态下引入故障可以找出 bug 并提高质量。
自定义方案示例
此测试显示一种方案,其中业务工作负荷与常规故障和非常规故障交错出现。 为了获得最佳结果,故障应在服务操作或计算的中间引入。
让我们来了解一个显示了四个工作负荷 A、B、C、D 的服务示例。每个负荷对应一组工作流程,可以是计算、存储或者二者的混合。 为简单起见,我们将对示例中的工作负荷进行抽象化。 本示例中执行的不同故障为:
- RestartNode:用于模拟计算机重启操作的非正常故障。
- RestartDeployedCodePackage:用于模拟服务主机进程崩溃的非正常故障。
- RemoveReplica:用于模拟副本删除操作的正常故障。
- MovePrimary:用于模拟 Service Fabric 负载均衡器触发的副本移动操作的正常故障。
// Add a reference to System.Fabric.Testability.dll and System.Fabric.dll.
using System;
using System.Fabric;
using System.Fabric.Testability.Scenario;
using System.Threading;
using System.Threading.Tasks;
class Test
{
public static int Main(string[] args)
{
// Replace these strings with the actual version for your cluster and application.
string clusterConnection = "localhost:19000";
Uri applicationName = new Uri("fabric:/samples/PersistentToDoListApp");
Uri serviceName = new Uri("fabric:/samples/PersistentToDoListApp/PersistentToDoListService");
Console.WriteLine("Starting Workload Test...");
try
{
RunTestAsync(clusterConnection, applicationName, serviceName).Wait();
}
catch (AggregateException ae)
{
Console.WriteLine("Workload Test failed: ");
foreach (Exception ex in ae.InnerExceptions)
{
if (ex is FabricException)
{
Console.WriteLine("HResult: {0} Message: {1}", ex.HResult, ex.Message);
}
}
return -1;
}
Console.WriteLine("Workload Test completed successfully.");
return 0;
}
public enum ServiceWorkloads
{
A,
B,
C,
D
}
public enum ServiceFabricFaults
{
RestartNode,
RestartCodePackage,
RemoveReplica,
MovePrimary,
}
public static async Task RunTestAsync(string clusterConnection, Uri applicationName, Uri serviceName)
{
// Create FabricClient with connection and security information here.
FabricClient fabricClient = new FabricClient(clusterConnection);
// Maximum time to wait for a service to stabilize.
TimeSpan maxServiceStabilizationTime = TimeSpan.FromSeconds(120);
// How many loops of faults you want to execute.
uint testLoopCount = 20;
Random random = new Random();
for (var i = 0; i < testLoopCount; ++i)
{
var workload = SelectRandomValue<ServiceWorkloads>(random);
// Start the workload.
var workloadTask = RunWorkloadAsync(workload);
// While the task is running, induce faults into the service. They can be ungraceful faults like
// RestartNode and RestartDeployedCodePackage or graceful faults like RemoveReplica or MovePrimary.
var fault = SelectRandomValue<ServiceFabricFaults>(random);
// Create a replica selector, which will select a primary replica from the given service to test.
var replicaSelector = ReplicaSelector.PrimaryOf(PartitionSelector.RandomOf(serviceName));
// Run the selected random fault.
await RunFaultAsync(applicationName, fault, replicaSelector, fabricClient);
// Validate the health and stability of the service.
await fabricClient.TestManager.ValidateServiceAsync(serviceName, maxServiceStabilizationTime);
// Wait for the workload to finish successfully.
await workloadTask;
}
}
private static async Task RunFaultAsync(Uri applicationName, ServiceFabricFaults fault, ReplicaSelector selector, FabricClient client)
{
switch (fault)
{
case ServiceFabricFaults.RestartNode:
await client.FaultManager.RestartNodeAsync(selector, CompletionMode.Verify);
break;
case ServiceFabricFaults.RestartCodePackage:
await client.FaultManager.RestartDeployedCodePackageAsync(applicationName, selector, CompletionMode.Verify);
break;
case ServiceFabricFaults.RemoveReplica:
await client.FaultManager.RemoveReplicaAsync(selector, CompletionMode.Verify, false);
break;
case ServiceFabricFaults.MovePrimary:
await client.FaultManager.MovePrimaryAsync(selector.PartitionSelector);
break;
}
}
private static Task RunWorkloadAsync(ServiceWorkloads workload)
{
throw new NotImplementedException();
// This is where you trigger and complete your service workload.
// Note that the faults induced while your service workload is running will
// fault the primary service. Hence, you will need to reconnect to complete or check
// the status of the workload.
}
private static T SelectRandomValue<T>(Random random)
{
Array values = Enum.GetValues(typeof(T));
T workload = (T)values.GetValue(random.Next(values.Length));
return workload;
}
}