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Posted to issues@flink.apache.org by "Chesnay Schepler (Jira)" <ji...@apache.org> on 2020/08/26 23:37:00 UTC

[jira] [Updated] (FLINK-19056) Investigate multipart upload performance regression

     [ https://issues.apache.org/jira/browse/FLINK-19056?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Chesnay Schepler updated FLINK-19056:
-------------------------------------
    Description: 
When using Netty 4.1.50 the multipart upload of files is more than a 100 times slower in the {{FileUploadHandlerTest}}.

This test has traditionally been somewhat heavy, since it repeatedly tests the upload of 60mb files.

On my machine this test currently finishes in 2-3 seconds, but with the upgraded Netty version it runs for several _minutes_ instead. I have not verified yet whether this is purely an issue of the test, but I would consider it unlikely.

This would make Flink effectively unusable when uploading larger jars or JobGraphs.

 

My theore is that is due to [this|https://github.com/netty/netty/pull/10226] change in Netty.

Before this change, the {{HttpPostMultipartRequestDecoder}} was always creating unpooled heap buffers for _something_; after the change the buffer type is dependent on the input buffer. The input buffer is a direct one, so my conclusion is that with the upgrade we ended up allocating more direct buffers than we did previously.

 

One solution I found was to explicitly create an {{UnpooledByteBufAllocator}} for the {{RestServerEndpoint}} that prefers heap buffers, which results in the input buffer to be a heap buffer, and thus we are never allocating direct ones.

However, this should also imply that we are creating more heap buffers than we did in the previously; I don't know how much of a problem that is. Maybe this is even a good thing if it means less copies from direct to heap memory, but [this|https://github.com/netty/netty/blob/8f7ca2b4ef53b94607992494adf17a6237df7356/codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostMultipartRequestDecoder.java#L332] comment seems to indicate otherwise.

 

On a somewhat related note, we could think about increasing the chunkSize from 8kb to 64kb to reduce the GC pressure a bit, along with some arenas for the REST API.

  was:
When using Netty 4.1.50 the multipart upload of files is more than a 100 times slower in the {{FileUploadHandlerTest}}.

This test has traditionally been somewhat heavy, since it repeatedly tests the upload of 60mb files.

On my machine this test currently finishes in 2-3 seconds, but with the upgraded Netty version it runs for several _minutes_ instead. I have not verified yet whether this is purely an issue of the test, but I would consider it unlikely.

This would make Flink effectively unusable when uploading larger jars or JobGraphs.

 

My theore is that is due to [this|https://github.com/netty/netty/pull/10226] change in Netty.

Before this change, the {{HttpPostMultipartRequestDecoder}} was always creating unpooled heap buffers for _something_; after the change the buffer type is dependent on the input buffer. The input buffer is a direct one, so my conclusion is that with the upgrade we ended up allocating more direct buffers than we did previously.

 

One solution I found was to explicitly create an {{UnpooledByteBufAllocator}} for the {{RestServerEndpoint}} that prefers heap buffers, which results in the input buffer to be a heap buffer, and thus we are never allocating direct ones.

However, this should also imply that we are creating more heap buffers than we did in the previously; I don't know how much of a problem that is. It would seem a reasonable thing to do since we at least should be able to skip a bunch of memory copies?

 

On a somewhat related note, we could think about increasing the chunkSize from 8kb to 64kb to reduce the GC pressure a bit, along with some arenas for the REST API.


> Investigate multipart upload performance regression
> ---------------------------------------------------
>
>                 Key: FLINK-19056
>                 URL: https://issues.apache.org/jira/browse/FLINK-19056
>             Project: Flink
>          Issue Type: Task
>          Components: Runtime / REST
>    Affects Versions: 1.12.0
>            Reporter: Chesnay Schepler
>            Priority: Blocker
>             Fix For: 1.12.0
>
>
> When using Netty 4.1.50 the multipart upload of files is more than a 100 times slower in the {{FileUploadHandlerTest}}.
> This test has traditionally been somewhat heavy, since it repeatedly tests the upload of 60mb files.
> On my machine this test currently finishes in 2-3 seconds, but with the upgraded Netty version it runs for several _minutes_ instead. I have not verified yet whether this is purely an issue of the test, but I would consider it unlikely.
> This would make Flink effectively unusable when uploading larger jars or JobGraphs.
>  
> My theore is that is due to [this|https://github.com/netty/netty/pull/10226] change in Netty.
> Before this change, the {{HttpPostMultipartRequestDecoder}} was always creating unpooled heap buffers for _something_; after the change the buffer type is dependent on the input buffer. The input buffer is a direct one, so my conclusion is that with the upgrade we ended up allocating more direct buffers than we did previously.
>  
> One solution I found was to explicitly create an {{UnpooledByteBufAllocator}} for the {{RestServerEndpoint}} that prefers heap buffers, which results in the input buffer to be a heap buffer, and thus we are never allocating direct ones.
> However, this should also imply that we are creating more heap buffers than we did in the previously; I don't know how much of a problem that is. Maybe this is even a good thing if it means less copies from direct to heap memory, but [this|https://github.com/netty/netty/blob/8f7ca2b4ef53b94607992494adf17a6237df7356/codec-http/src/main/java/io/netty/handler/codec/http/multipart/HttpPostMultipartRequestDecoder.java#L332] comment seems to indicate otherwise.
>  
> On a somewhat related note, we could think about increasing the chunkSize from 8kb to 64kb to reduce the GC pressure a bit, along with some arenas for the REST API.



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