e6126215e0
Motivation: DefaultHttp2FrameWriter#writeData allocates a DataFrameHeader for each write operation. DataFrameHeader maintains internal state and allocates multiple slices of a buffer which is a maximum of 30 bytes. This 30 byte buffer may not always be necessary and the additional slice operations can utilize retainedSlice to take advantage of pooled objects. We can also save computation and object allocations if there is no padding which is a common case in practice. Modifications: - Remove DataFrameHeader - Add a fast path for padding == 0 Result: Less object allocation in DefaultHttp2FrameWriter
112 lines
3.8 KiB
Java
112 lines
3.8 KiB
Java
/*
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* Copyright 2015 The Netty Project
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*
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* The Netty Project licenses this file to you under the Apache License,
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* version 2.0 (the "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at:
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*/
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/*
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* Copyright 2015 Twitter, Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package io.netty.handler.codec.http2;
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import io.netty.buffer.ByteBuf;
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import io.netty.microbench.util.AbstractMicrobenchmark;
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import org.openjdk.jmh.annotations.Benchmark;
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import org.openjdk.jmh.annotations.BenchmarkMode;
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import org.openjdk.jmh.annotations.Fork;
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import org.openjdk.jmh.annotations.Level;
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import org.openjdk.jmh.annotations.Measurement;
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import org.openjdk.jmh.annotations.Mode;
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import org.openjdk.jmh.annotations.OutputTimeUnit;
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import org.openjdk.jmh.annotations.Param;
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import org.openjdk.jmh.annotations.Scope;
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import org.openjdk.jmh.annotations.Setup;
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import org.openjdk.jmh.annotations.State;
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import org.openjdk.jmh.annotations.TearDown;
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import org.openjdk.jmh.annotations.Threads;
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import org.openjdk.jmh.annotations.Warmup;
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import org.openjdk.jmh.infra.Blackhole;
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import java.util.Iterator;
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import java.util.Map;
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import java.util.concurrent.TimeUnit;
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@Fork(1)
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@Threads(1)
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@State(Scope.Benchmark)
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@Warmup(iterations = 5)
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@Measurement(iterations = 5)
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@OutputTimeUnit(TimeUnit.NANOSECONDS)
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public class HpackEncoderBenchmark extends AbstractMicrobenchmark {
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@Param
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public HpackHeadersSize size;
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@Param({ "true", "false" })
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public boolean sensitive;
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@Param({ "true", "false" })
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public boolean duplicates;
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@Param({ "true", "false" })
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public boolean limitToAscii;
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private Http2Headers http2Headers;
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private ByteBuf output;
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private Http2HeadersEncoder.SensitivityDetector sensitivityDetector;
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@Setup(Level.Trial)
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public void setup() {
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http2Headers = HpackBenchmarkUtil.http2Headers(size, limitToAscii);
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if (duplicates) {
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int size = http2Headers.size();
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if (size > 0) {
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Iterator<Map.Entry<CharSequence, CharSequence>> itr = http2Headers.iterator();
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Map.Entry<CharSequence, CharSequence> entry = itr.next();
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http2Headers.clear();
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for (int i = 0; i < size; ++i) {
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http2Headers.add(entry.getKey(), entry.getValue());
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}
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}
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}
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output = size.newOutBuffer();
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sensitivityDetector = sensitive ? Http2HeadersEncoder.ALWAYS_SENSITIVE : Http2HeadersEncoder.NEVER_SENSITIVE;
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}
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@TearDown(Level.Trial)
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public void tearDown() {
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output.release();
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}
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@Benchmark
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@BenchmarkMode(Mode.AverageTime)
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public void encode(Blackhole bh) throws Exception {
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HpackEncoder hpackEncoder = HpackUtilBenchmark.newTestEncoder();
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output.clear();
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hpackEncoder.encodeHeaders(3 /*randomly chosen*/, output, http2Headers, sensitivityDetector);
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bh.consume(output);
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}
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}
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