Yes, there are several ways to manage exclusive resources across tests, including using a test runner with parallel execution capabilities or implementing custom locking mechanisms in your code.
One popular option is to use a test runner like NUnit or TestNG that supports parallel test execution. These runners typically provide various options for running tests in parallel, such as by method, class, or assembly. By configuring the runner to use a fixed number of threads, you can ensure that only a limited number of tests run concurrently, which can help reduce the load on your system and prevent resource contention.
Another approach is to implement custom locking mechanisms in your code. For example, you could use a database or a distributed lock manager like Redis or ZooKeeper to coordinate access to shared resources. You could also implement a simple locking scheme using file system locks or named mutexes.
Here's an example of how you might implement custom locking using C# and Redis:
1 Install the StackExchange.Redis NuGet package:
Install-Package StackExchange.Redis
2 Create a Redis client instance:
var redis = ConnectionMultiplexer.Connect("localhost");
3 Create a lock manager class that provides a Lock
and Unlock
method:
public class RedisLockManager
{
private readonly IDatabase _redis;
public RedisLockManager(IDatabase redis)
{
_redis = redis;
}
public bool Lock(string resource, TimeSpan timeout)
{
var key = $"lock:{resource}";
var value = Guid.NewGuid().ToString();
return _redis.StringSet(key, value, timeout, When.NotExists);
}
public void Unlock(string resource)
{
var key = $"lock:{resource}";
_redis.KeyDelete(key);
}
}
4 In your test code, use the lock manager to acquire a lock on the resource you need to use:
[Test]
public void MyTest()
{
var manager = new RedisLockManager(redis.GetDatabase());
var locked = manager.Lock("my-resource", TimeSpan.FromSeconds(10));
if (locked)
{
try
{
// Run test code that uses the resource
}
finally
{
manager.Unlock("my-resource");
}
}
else
{
Assert.Fail("Could not acquire lock on resource");
}
}
This approach provides a simple way to ensure that only one test is using a shared resource at a time. However, it does require some additional setup and may have performance implications depending on the number of resources and the frequency of contention.