Pet*_*ano 12 c# asp.net asp.net-web-api asp.net-core asp.net-core-webapi
我正在尝试将动态构建的大型 JSON 文件流式传输到客户端(可能是 500 MB+)。由于各种原因,我试图禁用响应缓冲,但主要是为了提高内存效率。
我试过直接写入,HttpContext.Response.BodyWriter
但响应似乎在写入输出之前缓冲在内存中。此方法的返回类型是Task
。
HttpContext.Response.ContentType = "application/json";
HttpContext.Response.ContentLength = null;
await HttpContext.Response.StartAsync(cancellationToken);
var bodyStream = HttpContext.Response.BodyWriter.AsStream(true);
await bodyStream.WriteAsync(Encoding.UTF8.GetBytes("["), cancellationToken);
await foreach (var item in cursor.WithCancellation(cancellationToken)
.ConfigureAwait(false))
{
await bodyStream.WriteAsync(JsonSerializer.SerializeToUtf8Bytes(item, DefaultSettings.JsonSerializerOptions), cancellationToken);
await bodyStream.WriteAsync(Encoding.UTF8.GetBytes(","), cancellationToken);
await bodyStream.FlushAsync(cancellationToken);
await Task.Delay(100,cancellationToken);
}
await bodyStream.WriteAsync(Encoding.UTF8.GetBytes("]"), cancellationToken);
bodyStream.Close();
await HttpContext.Response.CompleteAsync().ConfigureAwait(false);
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注意:我意识到这段代码很hacky,试图让它工作,然后清理它
我正在使用Task.Delay
来验证在本地测试时响应没有被缓冲,因为我没有完整的生产数据。我也试过IAsyncEnumerable
and yield return
,但失败了,因为响应太大以至于 Kestrel 认为可枚举是无限的。
我试过了
HttpContext.Response.WriteAsync
HttpContext.Response.BodyWriter.AsStream()
HttpContext.Response.BodyWriter
IApplicationBuilder.UseResponseCompression
ContentType
(因此在任何写入响应之前)没有效果var responseBufferingFeature = context.Features.Get<IHttpResponseBodyFeature>();
responseBufferingFeature?.DisableBuffering();
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这很简单地重现了这个问题。客户端在response.CompleteAsync()
被调用之前不会收到任何数据。
[HttpGet]
[Route("stream")]
public async Task<EmptyResult> FileStream(CancellationToken cancellationToken)
{
var response = DisableResponseBuffering(HttpContext);
HttpContext.Response.Headers.Add("Content-Type", "application/gzip");
HttpContext.Response.Headers.Add("Content-Disposition", $"attachment; filename=\"player-data.csv.gz\"");
await response.StartAsync().ConfigureAwait(false);
var memory = response.Writer.GetMemory(1024*1024*10);
response.Writer.Advance(1024*1024*10);
await response.Writer.FlushAsync(cancellationToken).ConfigureAwait(false);
await Task.Delay(5000).ConfigureAwait(false);
var str2 = Encoding.UTF8.GetBytes("Bar!\r\n");
memory = response.Writer.GetMemory(str2.Length);
str2.CopyTo(memory);
response.Writer.Advance(str2.Length);
await response.CompleteAsync().ConfigureAwait(false);
return new EmptyResult();
}
private IHttpResponseBodyFeature DisableResponseBuffering(HttpContext context)
{
var responseBufferingFeature = context.Features.Get<IHttpResponseBodyFeature>();
responseBufferingFeature?.DisableBuffering();
return responseBufferingFeature;
}
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尝试禁用响应期货的缓冲:
HttpContext.Features.Get<IHttpResponseBodyFeature>().DisableBuffering()
//As mentioned in documentation, to take effect, call it before any writes
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并使用BodyWriter
以Utf8JsonWriter
提高效率:
var pipe = context.HttpContext.Response.BodyWriter;
await pipe.WriteAsync(startArray);
using (var writer = new Utf8JsonWriter(pipe,
new JsonWriterOptions
{
Indented = option.WriteIndented,
Encoder = option.Encoder,
SkipValidation = true
}))
{
var dotSet = false;
foreach (var item in enumerable)
{
if (dotSet)
await pipe.WriteAsync(dot);
JsonSerializer.Serialize(writer, item, itemType, option);
await pipe.FlushAsync();
writer.Reset();
dotSet = true;
}
}
await pipe.WriteAsync(endArray);
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就我而言,它给出的结果是:在第一次请求后,与 newcoreapp2.2 相比,总内存分配增加了 80% 以上,但没有更多内存泄漏。
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