gpt4 book ai didi

performance - Java 11 中使用堆栈跟踪的速度明显慢于 Java 8

转载 作者:行者123 更新时间:2023-12-03 05:52:31 25 4
gpt4 key购买 nike

我使用 jmh 比较 JDK 8 和 11 的性能1.21 当我遇到一些令人惊讶的数字时:

Java version: 1.8.0_192, vendor: Oracle Corporation

Benchmark Mode Cnt Score Error Units
MyBenchmark.throwAndConsumeStacktrace avgt 25 21525.584 ± 58.957 ns/op


Java version: 9.0.4, vendor: Oracle Corporation

Benchmark Mode Cnt Score Error Units
MyBenchmark.throwAndConsumeStacktrace avgt 25 28243.899 ± 498.173 ns/op


Java version: 10.0.2, vendor: Oracle Corporation

Benchmark Mode Cnt Score Error Units
MyBenchmark.throwAndConsumeStacktrace avgt 25 28499.736 ± 215.837 ns/op


Java version: 11.0.1, vendor: Oracle Corporation

Benchmark Mode Cnt Score Error Units
MyBenchmark.throwAndConsumeStacktrace avgt 25 48535.766 ± 2175.753 ns/op

OpenJDK 11 和 12 的性能与 OracleJDK 11 类似。为了简洁起见,我省略了它们的编号。

据我了解,微基准测试并不表明实际应用程序的性能行为。不过,我很好奇这种差异从何而来。 有什么想法吗?

<小时/>

以下是完整的基准测试:

pom.xml:

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>

<groupId>jmh</groupId>
<artifactId>consume-stacktrace</artifactId>
<version>1.0-SNAPSHOT</version>
<packaging>jar</packaging>
<name>JMH benchmark sample: Java</name>

<dependencies>
<dependency>
<groupId>org.openjdk.jmh</groupId>
<artifactId>jmh-core</artifactId>
<version>${jmh.version}</version>
</dependency>
<dependency>
<groupId>org.openjdk.jmh</groupId>
<artifactId>jmh-generator-annprocess</artifactId>
<version>${jmh.version}</version>
<scope>provided</scope>
</dependency>
</dependencies>

<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<jmh.version>1.21</jmh.version>
<javac.target>1.8</javac.target>
<uberjar.name>benchmarks</uberjar.name>
</properties>

<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-enforcer-plugin</artifactId>
<version>1.4.1</version>
<executions>
<execution>
<id>enforce-versions</id>
<goals>
<goal>enforce</goal>
</goals>
<configuration>
<rules>
<requireMavenVersion>
<version>3.0</version>
</requireMavenVersion>
</rules>
</configuration>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.8.0</version>
<configuration>
<compilerVersion>${javac.target}</compilerVersion>
<source>${javac.target}</source>
<target>${javac.target}</target>
</configuration>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>3.2.1</version>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<finalName>${uberjar.name}</finalName>
<transformers>
<transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<mainClass>org.openjdk.jmh.Main</mainClass>
</transformer>
</transformers>
<filters>
<filter>
<!--
Shading signed JARs will fail without this.
http://stackoverflow.com/questions/999489/invalid-signature-file-when-attempting-to-run-a-jar
-->
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
<pluginManagement>
<plugins>
<plugin>
<artifactId>maven-clean-plugin</artifactId>
<version>2.6.1</version>
</plugin>
<plugin>
<artifactId>maven-deploy-plugin</artifactId>
<version>2.8.2</version>
</plugin>
<plugin>
<artifactId>maven-install-plugin</artifactId>
<version>2.5.2</version>
</plugin>
<plugin>
<artifactId>maven-jar-plugin</artifactId>
<version>3.1.0</version>
</plugin>
<plugin>
<artifactId>maven-javadoc-plugin</artifactId>
<version>3.0.0</version>
</plugin>
<plugin>
<artifactId>maven-resources-plugin</artifactId>
<version>3.1.0</version>
</plugin>
<plugin>
<artifactId>maven-site-plugin</artifactId>
<version>3.7.1</version>
</plugin>
<plugin>
<artifactId>maven-source-plugin</artifactId>
<version>3.0.1</version>
</plugin>
<plugin>
<artifactId>maven-surefire-plugin</artifactId>
<version>2.22.0</version>
</plugin>
</plugins>
</pluginManagement>
</build>
</project>

src/main/java/jmh/MyBenchmark.java:

package jmh;

import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.BenchmarkMode;
import org.openjdk.jmh.annotations.Mode;
import org.openjdk.jmh.annotations.OutputTimeUnit;
import org.openjdk.jmh.infra.Blackhole;

import java.io.PrintWriter;
import java.io.StringWriter;
import java.util.concurrent.TimeUnit;

@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.NANOSECONDS)
public class MyBenchmark
{
@Benchmark
public void throwAndConsumeStacktrace(Blackhole bh)
{
try
{
throw new IllegalArgumentException("I love benchmarks");
}
catch (IllegalArgumentException e)
{
StringWriter sw = new StringWriter();
e.printStackTrace(new PrintWriter(sw));
bh.consume(sw.toString());
}
}
}

这是我使用的 Windows 特定脚本。将其翻译到其他平台应该很简单:

set JAVA_HOME=C:\Program Files\Java\jdk1.8.0_192
call mvn -V -Djavac.target=1.8 clean install
"%JAVA_HOME%\bin\java" -jar target\benchmarks.jar

set JAVA_HOME=C:\Program Files\Java\jdk-9.0.4
call mvn -V -Djavac.target=9 clean install
"%JAVA_HOME%\bin\java" -jar target\benchmarks.jar

set JAVA_HOME=C:\Program Files\Java\jdk-10.0.2
call mvn -V -Djavac.target=10 clean install
"%JAVA_HOME%\bin\java" -jar target\benchmarks.jar

set JAVA_HOME=C:\Program Files\Java\oracle-11.0.1
call mvn -V -Djavac.target=11 clean install
"%JAVA_HOME%\bin\java" -jar target\benchmarks.jar

我的运行环境是:

Apache Maven 3.6.0 (97c98ec64a1fdfee7767ce5ffb20918da4f719f3; 2018-10-24T14:41:47-04:00)
Maven home: C:\Program Files\apache-maven-3.6.0\bin\..
Default locale: en_CA, platform encoding: Cp1252
OS name: "windows 10", version: "10.0", arch: "amd64", family: "windows"

更具体地说,我运行的是 Microsoft Windows [版本 10.0.17763.195]

最佳答案

我用 async-profiler 调查了这个问题它可以绘制很酷的火焰图,展示 CPU 时间花费在哪里。

正如 @AlekseyShipilev 指出的,JDK 8 和 JDK 9 之间的减速主要是 StackWalker 更改的结果。另外,从 JDK 9 开始,G1 就成为默认的 GC。如果我们显式设置 -XX:+UseParallelGC (JDK 8 中默认),分数会稍微好一些。

但最有趣的部分是 JDK 11 的速度变慢。
这是 async-profiler 显示的内容(可点击的 SVG)。

JDK 10

JDK 11

两个配置文件之间的主要区别在于 java_lang_Throwable::get_stack_trace_elements block 的大小,该大小由 StringTable::intern 主导。显然 StringTable::intern 在 JDK 11 上需要更长的时间。

让我们放大一下:

JDK 11 zoom in

请注意,JDK 11 中的 StringTable::intern 调用 do_intern,后者又分配一个新的 java.lang.String 对象。看起来很可疑。在 JDK 10 配置文件中没有看到任何此类内容。是时候查看源代码了。

stringTable.cpp (JDK 11)

oop StringTable::intern(Handle string_or_null_h, jchar* name, int len, TRAPS) {
// shared table always uses java_lang_String::hash_code
unsigned int hash = java_lang_String::hash_code(name, len);
oop found_string = StringTable::the_table()->lookup_shared(name, len, hash);
if (found_string != NULL) {
return found_string;
}
if (StringTable::_alt_hash) {
hash = hash_string(name, len, true);
}
return StringTable::the_table()->do_intern(string_or_null_h, name, len,
| hash, CHECK_NULL);
} |
----------------
|
v
oop StringTable::do_intern(Handle string_or_null_h, const jchar* name,
int len, uintx hash, TRAPS) {
HandleMark hm(THREAD); // cleanup strings created
Handle string_h;

if (!string_or_null_h.is_null()) {
string_h = string_or_null_h;
} else {
string_h = java_lang_String::create_from_unicode(name, len, CHECK_NULL);
}

JDK 11 中的函数首先在共享 StringTable 中查找字符串,没有找到,则转到 do_intern 并立即创建一个新的 String 对象。

JDK 10 sources调用lookup_shared后,主表中进行了一次额外的查找,返回现有字符串而不创建新对象:

  found_string = the_table()->lookup_in_main_table(index, name, len, hashValue);

此重构是 JDK-8195097 的结果“使得在安全点之外处理 StringTable 成为可能”。

TL;DR While interning method names in JDK 11, HotSpot creates redundant String objects. This has happened after JDK-8195097.

关于performance - Java 11 中使用堆栈跟踪的速度明显慢于 Java 8,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/53961275/

25 4 0
Copyright 2021 - 2024 cfsdn All Rights Reserved 蜀ICP备2022000587号
广告合作:1813099741@qq.com 6ren.com