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https://issues.apache.org/jira/browse/RATIS-1176?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17239273#comment-17239273
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runzhiwang edited comment on RATIS-1176 at 11/26/20, 1:40 PM:
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[~szetszwo] I have some interesting finding. transferTo has bug on Kernel
2.6.32, and happened in Spark.
https://github.com/apache/spark/pull/2824
https://bugs.openjdk.java.net/browse/JDK-7052359?page=com.atlassian.jira.plugin.system.issuetabpanels%3Aall-tabpanel
And Netty's ByteBuf cannot support data > 2gb.
https://issues.apache.org/jira/browse/SPARK-24307
was (Author: yjxxtd):
[~szetszwo] I have an interesting finding. transferTo has bug on Kernel 2.6.32,
and happened in Spark.
https://github.com/apache/spark/pull/2824
https://bugs.openjdk.java.net/browse/JDK-7052359?page=com.atlassian.jira.plugin.system.issuetabpanels%3Aall-tabpanel
And Netty's ByteBuf cannot support data > 2gb.
https://issues.apache.org/jira/browse/SPARK-24307
> Benchmark various ways to stream data
> -------------------------------------
>
> Key: RATIS-1176
> URL: https://issues.apache.org/jira/browse/RATIS-1176
> Project: Ratis
> Issue Type: Sub-task
> Components: client, Streaming
> Reporter: Tsz-wo Sze
> Priority: Major
> Attachments: image-2020-11-25-07-40-50-383.png, screenshot-5.png,
> screenshot-6.png, screenshot-7.png, screenshot-8.png, screenshot-9.png
>
>
> In RATIS-1175, we provided a WritableByteChannel view of DataStreamOutput in
> order to support FileChannel.transferTo. However, [~runzhiwang] pointed out
> that sun.nio.ch.FileChannelImpl.transferTo has three submethods
> - transferToDirectly (fastest)
> - transferToTrustedChannel
> - transferToArbitraryChannel (slowest, requires buffer copying)
> Unfortunately, our current implementation only able to use
> transferToArbitraryChannel.
> There are several ideas below to improve the performance. We should
> benchmark them.
> # Improve the current implementation of WritableByteChannel so that it may be
> able to use a faster transferTo method.
> # Use
> [FileChannel.map(..)|https://docs.oracle.com/javase/8/docs/api/java/nio/channels/FileChannel.html#map-java.nio.channels.FileChannel.MapMode-long-long-]
> and pass MappedByteBuffer to our DataStreamOutput.writeAsync method.
> # Add a new API
> {code}
> //DataStreamOutput
> CompletableFuture<DataStreamReply> writeAsync(File);
> {code}
> Internally, use Netty DefaultFileRegion for zero-copy file transfer:
> https://github.com/netty/netty/blob/4.1/example/src/main/java/io/netty/example/file/FileServerHandler.java#L53
> The data flow of client -> primary -> peer as follows
> If stream file and do not calculate checksum, we use transferTo. In client,
> there are 1 DMA copy and 1 DMA gather copy, no CPU copy. In primary, there are
> 3 DMA copy and 3 CPU copy. In peer, there are 2 DMA copy and 2 CPU copy.
> !screenshot-6.png!
> If stream file and calculate checksum, we use MapByteBuffer. In client, there
> are 2 DMA copy and 1 CPU copy. In primary, there are
> 3 DMA copy and 3 CPU copy. In peer, there are 2 DMA copy and 2 CPU copy.
> !screenshot-7.png!
> If stream data not in file and calculate checksum, we use DirectByteBuffer.
> In client, there are 2 DMA copy and 2 CPU copy. In primary, there are
> 3 DMA copy and 3 CPU copy. In peer, there are 2 DMA copy and 2 CPU copy.
> !screenshot-8.png!
> we should avoid reading data into heap such as HeapByteBuffer. In client,
> there are 2 DMA copy and 4 CPU copy. In primary, there are
> 3 DMA copy and 3 CPU copy. In peer, there are 2 DMA copy and 2 CPU copy.
> !screenshot-9.png!
> The following is flow before ratis streaming and use ProtoBuf to send data.
> In client there are 2 DMA copy and 4 CPU copy. In leader, there are 3 DMA
> copy and 7 CPU copy. In follower, there are 2 DMA copy and 5 CPU copy.
> !screenshot-5.png!
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