我们有一个面向微服务的后端堆栈。所有的微服务都建立在Nancy之上,并使用topshelf注册为windows服务。
其中一个处理大多数通信量(~5000 req/s)的服务开始在8台服务器中的3台服务器上出现线程池饥饿问题。
这是我们在碰到特定端点时遇到的异常:
System.InvalidOperationException: There were not enough free threads in the ThreadPool to complete the operation.
at System.Net.HttpWebRequest.BeginGetResponse(AsyncCallback callback, Object state)
at System.Net.Http.HttpClientHandler.StartGettingResponse(RequestState state)
at System.Net.Http.HttpClientHandler.StartRequest(Object obj)
--- End of stack trace from previous location where exception was thrown ---
at System.Runtime.CompilerServices.TaskAwaiter.ThrowForNonSuccess(Task task)
at System.Runtime.CompilerServices.TaskAwaiter.HandleNonSuccessAndDebuggerNotification(Task task)
at RandomNamedClient.<GetProductBySkuAsync>d__20.MoveNext()
--- End of stack trace from previous location where exception was thrown ---
at System.Runtime.CompilerServices.TaskAwaiter.ThrowForNonSuccess(Task task)
at System.Runtime.CompilerServices.TaskAwaiter.HandleNonSuccessAndDebuggerNotification(Task task)
at ProductService.<GetBySkuAsync>d__3.MoveNext() in ...\ProductService.cs:line 34
--- End of stack trace from previous location where exception was thrown ---
at System.Runtime.CompilerServices.TaskAwaiter.ThrowForNonSuccess(Task task)
at System.Runtime.CompilerServices.TaskAwaiter.HandleNonSuccessAndDebuggerNotification(Task task)
at ProductModule.<>c__DisplayClass15.<<.ctor>b__b>d__1d.MoveNext() in ...\ProductModule.cs:line 32为了获取产品数据,这个端点调用另一个服务-which不在我的团队的范围之内。它的执行情况如下:
Get["/product/sku/{sku}", true] = async (parameters, ctx) =>
{
string sku = parameters.sku;
var product = await productService.GetBySkuAsync(sku);
return Response.AsJson(new ProductRepresentation(product));
};ProductService.GetBySkuAsync(string sku)实现:
public async Task<Product> GetBySkuAsync(string sku)
{
var productDto = await randomNamedClient.GetProductBySkuAsync(sku);
if (productDto == null)
{
throw new ProductDtoNotFoundException("sku", sku);
}
var variantDto = productDto.VariantList.FirstOrDefault(v => v.Sku == sku);
if (variantDto == null)
{
throw new ProductVariantDtoNotFoundException("sku", sku);
}
return MapVariantDtoToProduct(variantDto, productDto);
}RandomNamedClient.GetProductBySkuAsync(string sku)实现(来自内部包):
public async Task<ProductDto> GetProductBySkuAsync(string sku)
{
HttpResponseMessage result = await this._serviceClient.GetAsync("Product?Sku=" + sku);
return result == null || result.StatusCode != HttpStatusCode.OK ? (ProductDto) null : this.Decompress<ProductDto>(result);
}RandomNamedClient.Decompress<T>(HttpResponseMessage response)实现:
private T Decompress<T>(HttpResponseMessage response)
{
if (!response.Content.Headers.ContentEncoding.Contains("gzip"))
return HttpContentExtensions.ReadAsAsync<T>(response.Content).Result;
using (GZipStream gzipStream = new GZipStream((Stream) new MemoryStream(response.Content.ReadAsByteArrayAsync().Result), CompressionMode.Decompress))
{
byte[] buffer = new byte[8192];
using (MemoryStream memoryStream = new MemoryStream())
{
int count;
do
{
count = gzipStream.Read(buffer, 0, 8192);
if (count > 0)
memoryStream.Write(buffer, 0, count);
}
while (count > 0);
return JsonConvert.DeserializeObject<T>(Encoding.UTF8.GetString(memoryStream.ToArray()));
}
}
}我们所有的服务都是作为发布/32位构建的。我们没有修改任何关于线程池使用的内容。
发布于 2016-03-09 10:11:06
我在这段代码中看到的最大问题是Decompress<T>方法,它使用Task.Result阻止异步操作。这可能会延迟当前处理线程池请求的线程的检索,甚至会导致代码中的死锁(这正是不应该阻止异步代码的原因)。我不确定是否已经彻底处理了这些请求,但是如果NancyFX正在为您处理同步上下文的封送处理(这看起来像是确实是这样的),这很可能是线程池饥饿的根本原因。
您也可以通过使该方法async内的所有IO处理工作来改变这一点,并利用那些类已经公开的自然异步API。或者,我绝对不建议这样做,您可以在任何地方使用ConfigureAwait(false)。
(附带说明--您可以使用Stream.CopyToAsync()简化代码)
适当的异步实现如下所示:
private async Task<T> DecompressAsync<T>(HttpResponseMessage response)
{
if (!response.Content.Headers.ContentEncoding.Contains("gzip"))
return await response.Content.ReadAsAsync<T>();
const int bufferSize = 8192;
using (GZipStream gzipStream = new GZipStream(
new MemoryStream(
await response.Content.ReadAsByteArrayAsync()),
CompressionMode.Decompress))
using (MemoryStream memoryStream = new MemoryStream())
{
await gzipStream.CopyToAsync(memoryStream, bufferSize);
return JsonConvert.DeserializeObject<T>(
Encoding.UTF8.GetString(memoryStream.ToArray()));
}
}https://stackoverflow.com/questions/35888198
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