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[improve][client][PIP-389] Add a producer config to improve compression performance #23525

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@liangyepianzhou liangyepianzhou commented Oct 29, 2024

PIP: #23526

Motivation

The motivation of this PIP is to provide a way to improve the compression performance by skipping the compression of small messages.
We want to add a new configuration compressMinMsgBodySize to the producer configuration.
This configuration will allow the user to set the minimum size of the message body that will be compressed.
If the message body size is less than the compressMinMsgBodySize, the message will not be compressed.

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@liangyepianzhou liangyepianzhou marked this pull request as draft October 29, 2024 08:34
@github-actions github-actions bot added doc-label-missing doc-required Your PR changes impact docs and you will update later. and removed doc-label-missing labels Oct 29, 2024
@liangyepianzhou liangyepianzhou changed the title [improve][client] Add a producer config to improve compaction performance [improve][client] Add a producer config to improve compression performance Oct 29, 2024
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lhotari commented Oct 30, 2024

Please add the PIP number to the PR title as we usually do.

@BewareMyPower BewareMyPower changed the title [improve][client] Add a producer config to improve compression performance [improve][client][PIP-389] Add a producer config to improve compression performance Oct 30, 2024
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lhotari commented Oct 30, 2024

@liangyepianzhou Regarding performance optimizations for compression in Pulsar, there's also work that should be done.
For example for gzip compression/decompression this is very inefficient:

public ByteBuf encode(ByteBuf source) {
byte[] array;
int length = source.readableBytes();
int sizeEstimate = (int) Math.ceil(source.readableBytes() * 1.001) + 14;
ByteBuf compressed = PulsarByteBufAllocator.DEFAULT.heapBuffer(sizeEstimate);
int offset = 0;
if (source.hasArray()) {
array = source.array();
offset = source.arrayOffset() + source.readerIndex();
} else {
// If it's a direct buffer, we need to copy it
array = new byte[length];
source.getBytes(source.readerIndex(), array);
}
Deflater deflater = this.deflater.get();
deflater.reset();
deflater.setInput(array, offset, length);
while (!deflater.needsInput()) {
deflate(deflater, compressed);
}
return compressed;
}
.
Another detail is that the current implementation isn't using "zero copy" approaches that are available.
For example in Snappy:
@Override
public ByteBuf encode(ByteBuf source) {
int uncompressedLength = source.readableBytes();
int maxLength = Snappy.maxCompressedLength(uncompressedLength);
ByteBuffer sourceNio = source.nioBuffer(source.readerIndex(), source.readableBytes());
ByteBuf target = PooledByteBufAllocator.DEFAULT.buffer(maxLength, maxLength);
ByteBuffer targetNio = target.nioBuffer(0, maxLength);
int compressedLength = 0;
try {
compressedLength = Snappy.compress(sourceNio, targetNio);
} catch (IOException e) {
log.error("Failed to compress to Snappy: {}", e.getMessage());
}
target.writerIndex(compressedLength);
return target;
}
@Override
public ByteBuf decode(ByteBuf encoded, int uncompressedLength) throws IOException {
ByteBuf uncompressed = PooledByteBufAllocator.DEFAULT.buffer(uncompressedLength, uncompressedLength);
ByteBuffer uncompressedNio = uncompressed.nioBuffer(0, uncompressedLength);
ByteBuffer encodedNio = encoded.nioBuffer(encoded.readerIndex(), encoded.readableBytes());
Snappy.uncompress(encodedNio, uncompressedNio);
uncompressed.writerIndex(uncompressedLength);
return uncompressed;
}

In BookKeeper, I added zero-copy for calculating checksums in apache/bookkeeper#4196. The ByteBufVisitor approach could be used to avoid copying source buffers to an extra nio buffer.
Calling Netty's io.netty.buffer.CompositeByteBuf#nioBuffer will allocate a new nio ByteBuffer in the heap and copy the content there. That's not very great from performance perspective, especially when we want to reduce allocations and garbage. With the ByteBufVisitor approach it's possible to read the source direct byte buffers without extra copies.
Have you considered in addressing this performance issue in the Pulsar message compression solution?

@liangyepianzhou
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Have you considered in addressing this performance issue in the Pulsar message compression solution?

Sounds good, maybe I can try optimizing it in other PRs

@lhotari
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lhotari commented Oct 30, 2024

Have you considered in addressing this performance issue in the Pulsar message compression solution?

Sounds good, maybe I can try optimizing it in other PRs

+1, In the Pulsar code base, we have a special module called microbench for microbenchmarks with JMH, https://github.com/apache/pulsar/tree/master/microbench . Testing performance with JMH could be useful for such improvements.

@liangyepianzhou
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Have you considered in addressing this performance issue in the Pulsar message compression solution?

Sounds good, maybe I can try optimizing it in other PRs

+1, In the Pulsar code base, we have a special module called microbench for microbenchmarks with JMH, https://github.com/apache/pulsar/tree/master/microbench . Testing performance with JMH could be useful for such improvements.

Thanks for the reminder.

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