本文介绍了AWS Lambda使用来自多版本JAR的不正确类文件?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我有一个lambda在Java 8下运行了几年,我刚刚把它更新到Java 11。它立即坏了,给我这样的错误:

Caused by: java.lang.ExceptionInInitializerError
    at com.mycompany.rest.providers.JsonProvider.writeTo(JsonProvider.java:80)
    at org.glassfish.jersey.message.internal.WriterInterceptorExecutor$TerminalWriterInterceptor.invokeWriteTo(WriterInterceptorExecutor.java:242)
    at org.glassfish.jersey.message.internal.WriterInterceptorExecutor$TerminalWriterInterceptor.aroundWriteTo(WriterInterceptorExecutor.java:227)
    at org.glassfish.jersey.message.internal.WriterInterceptorExecutor.proceed(WriterInterceptorExecutor.java:139)
    at org.glassfish.jersey.message.internal.MessageBodyFactory.writeTo(MessageBodyFactory.java:1116)
    at org.glassfish.jersey.client.ClientRequest.doWriteEntity(ClientRequest.java:461)
    at org.glassfish.jersey.client.ClientRequest.writeEntity(ClientRequest.java:443)
    at org.glassfish.jersey.client.internal.HttpUrlConnector._apply(HttpUrlConnector.java:367)
    at org.glassfish.jersey.client.internal.HttpUrlConnector.apply(HttpUrlConnector.java:265)
    at org.glassfish.jersey.client.ClientRuntime.invoke(ClientRuntime.java:297)
    ... 15 more
Caused by: java.lang.UnsupportedOperationException: No class provided, and an appropriate one cannot be found.
    at org.apache.logging.log4j.LogManager.callerClass(LogManager.java:571)
    at org.apache.logging.log4j.LogManager.getLogger(LogManager.java:596)
    at org.apache.logging.log4j.LogManager.getLogger(LogManager.java:583)
    at com.mycompany.rest.util.NonClosingOutputStream.<clinit>(NonClosingOutputStream.java:11)
    ... 25 more

这个类并不特别令人兴奋,它有一个简单的静态初始化,这在我的类中很常见:

public class NonClosingOutputStream extends ProxyOutputStream {
    private static final Logger log = LogManager.getLogger(); // Line 11

    public NonClosingOutputStream(final OutputStream proxy) {
        super(proxy);
    }

    ...

我以前遇到过这样的问题,当我将我的(非Lambda)Java服务器从8切换到11时;我需要将JAR的清单标记为Multi-Release: true,因为我所依赖的ApacheLog4j构件为Java 8和9+中的org.apache.logging.log4j.util.StackLocator类提供了替代实现。然而,我有点希望JVM只选择类的适当版本。是否有我必须在某个地方设置的配置?是否可能在某处将我的Lambda从Java 8->;Java 11切换为混淆了

jar/META-INF/versions:

versions/
├── 11
│   └── org
│       └── glassfish
│           └── jersey
│               └── internal
│                   └── jsr166
│                       ├── JerseyFlowSubscriber$1.class
│                       ├── JerseyFlowSubscriber.class
│                       ├── SubmissionPublisher$1.class
│                       ├── SubmissionPublisher$2.class
│                       ├── SubmissionPublisher$3.class
│                       ├── SubmissionPublisher$4.class
│                       ├── SubmissionPublisher$5.class
│                       ├── SubmissionPublisher$6.class
│                       ├── SubmissionPublisher.class
│                       └── SubmissionPublisherFactory.class
└── 9
    ├── module-info.class
    └── org
        └── apache
            └── logging
                └── log4j
                    ├── core
                    │   └── util
                    │       └── SystemClock.class
                    └── util
                        ├── Base64Util.class
                        ├── ProcessIdUtil.class
                        ├── StackLocator.class
                        └── internal
                            └── DefaultObjectInputFilter.class

编辑:我发现some references表明,当AWS Lambda提取JAR时,他们不会提取META-INF目录,该目录包含MANIFEST.MF文件,该文件告诉JVM该JAR是多版本JAR。Lambda是否支持多版本JAR?

推荐答案

不完全是您问题的答案,但我希望这可能会有帮助。

您的分析是正确的-AWS lambda提取整个JAR文件。然后,运行lambda函数的JVM不再将代码识别为JAR文件,并且实际上会忽略整个META-INF目录。

在我的例子中,我使用maven-shade-plugin创建了一个包含lambda函数的所有依赖项的&uber";-jar。official AWS documentation中推荐使用这种方法。现在--这一点很重要--maven-shade-plugin提取所有JAR文件依赖项,并将它们重新打包到单个平面JAR文件中。如果您的一个依赖项是多版本JAR(就像log4j2一样),那么您可以配置maven-shade-plugin以重新构建适当的META-INF目录,如果您将JAR作为JAR文件运行,那么一切仍然正常。但是,因为AWS Lambda提取JAR,所以JVM不再看到META-INF目录,并且META-INF/版本中的任何内容都将被忽略。

要解决这个问题,我切换到maven-assembly-plugin。它允许使用lambda的代码创建ZIP文件,并将依赖项添加为JAR文件。现在,当AWS Lambda解压缩此ZIP文件时,JAR保持完好,一切工作正常。

要进行配置,请创建一个文件assembly.xml,如下所示:

<assembly xmlns="http://maven.apache.org/plugins/maven-assembly-plugin/assembly/1.1.2"
          xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
          xsi:schemaLocation="http://maven.apache.org/plugins/maven-assembly-plugin/assembly/1.1.2 http://maven.apache.org/xsd/assembly-1.1.2.xsd">
    <id>zip</id>
    <!-- Make sure the ZIP contents are not nested in a subdirectory -->
    <includeBaseDirectory>false</includeBaseDirectory>

    <formats>
        <format>zip</format>
    </formats>
    <fileSets>
        <fileSet>
            <directory>${project.basedir}/conf</directory>
        </fileSet>
        <!-- Include the compiled classes as-is and put them in the root of the ZIP -->
        <fileSet>
            <directory>${project.build.directory}/classes</directory>
            <outputDirectory>/</outputDirectory>
        </fileSet>
    </fileSets>
    <dependencySets>
        <!-- Include all dependencies in the lib/ directory -->
        <dependencySet>
            <outputDirectory>lib</outputDirectory>
            <excludes>
                <exclude>${project.groupId}:${project.artifactId}:jar:*</exclude>
            </excludes>
        </dependencySet>
    </dependencySets>
</assembly>

然后您需要在pom.xml中配置maven-assembly-plugin

<plugin>
    <groupId>org.apache.maven.plugins</groupId>
    <artifactId>maven-assembly-plugin</artifactId>
    <version>3.3.0</version>
    <executions>
        <execution>
            <phase>package</phase>
            <goals>
                <goal>single</goal>
            </goals>
            <configuration>
                <appendAssemblyId>false</appendAssemblyId>
                <descriptors>
                    <descriptor>assembly.xml</descriptor>
                </descriptors>
                <finalName>${project.artifactId}</finalName>
            </configuration>
        </execution>
    </executions>
</plugin>

现在,只需像往常一样将生成的压缩文件部署到AWS Lambda,就可以了!

作为备注-阴影JAR文件包含数千个单独的.class文件,而汇编的ZIP文件只包含少数几个JAR文件。即使总体大小(以字节为单位)更大,文件的数量也会少得多,从而减少冷启动时间。我还没有在AWS Cloud上测试过这一点,但在我的LocalStack上,冷启动时间从大约1分钟降到了6秒--这绝对是一个很好的开发助推器。

这篇关于AWS Lambda使用来自多版本JAR的不正确类文件?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!

11-01 10:54