试试这个

打开构建。gradle文件

  android {
        dexOptions {
           javaMaxHeapSize = "4g"
        }
   }

I'm working in Android Studio and encountered this error when trying to generate a signed APK for release. I was able to build and test a debug APK with no problem, but as soon as I wanted to build a release APK, the build process would run for minutes on end and then finally terminate with the "Error java.lang.OutOfMemoryError: GC overhead limit exceeded". I increased the heap sizes for both the VM and the Android DEX compiler, but the problem persisted. Finally, after many hours and mugs of coffee it turned out that the problem was in my app-level 'build.gradle' file - I had the 'minifyEnabled' parameter for the release build type set to 'false', consequently running Proguard stuffs on code that hasn't been through the code-shrinking' process (see https://developer.android.com/studio/build/shrink-code.html). I changed the 'minifyEnabled' parameter to 'true' and the release build executed like a dream :)

简而言之，我必须改变应用程序级别的“构建”。Gradle文件来自: / /……

buildTypes {
    release {
        minifyEnabled false
        proguardFiles getDefaultProguardFile('proguard-android.txt'), 'proguard-rules.pro'
        signingConfig signingConfigs.sign_config_release
    }
    debug {
        debuggable true
        signingConfig signingConfigs.sign_config_debug
    }
}

//...

to

    //...

buildTypes {
    release {
        minifyEnabled true
        proguardFiles getDefaultProguardFile('proguard-android.txt'), 'proguard-rules.pro'
        signingConfig signingConfigs.sign_config_release
    }
    debug {
        debuggable true
        signingConfig signingConfigs.sign_config_debug
    }
}

//...

重启MacBook帮我解决了这个问题。

根据Java[8]平台，标准版故障处理指南，错误原因:(强调和换行符添加)

[…“GC overhead limit exceeded”表示垃圾收集器一直在运行，Java程序进展非常缓慢。 在垃圾收集之后，如果Java进程花费大约98%的时间进行垃圾收集，如果它回收的堆不到2%，并且到目前为止已经连续进行了5次(编译时间常数)垃圾收集，则抛出Java .lang. outofmemoryerror。[…]

Increase the heap size if current heap is not enough. If you still get this error after increasing heap memory, use memory profiling tools like MAT ( Memory analyzer tool), Visual VM etc and fix memory leaks. Upgrade JDK version to latest version ( 1.8.x) or at least 1.7.x and use G1GC algorithm. . The throughput goal for the G1 GC is 90 percent application time and 10 percent garbage collection time Apart from setting heap memory with -Xms1g -Xmx2g , try -XX:+UseG1GC -XX:G1HeapRegionSize=n -XX:MaxGCPauseMillis=m -XX:ParallelGCThreads=n -XX:ConcGCThreads=n

看看更多关于G1GC的相关问题

G1上的Java 7 (JDK 7)垃圾收集和文档 生产环境中的Java G1垃圾收集 Oracle technetwork关于GC优化的文章

您可以尝试通过参考此映像来更改服务器设置，并增加用于处理的内存大小 流程更改以黄色突出显示

你也可以通过打开cmd-> set _java_opts - xmx2g来改变java堆 2g(2gb)，这取决于程序的复杂程度

尽量少使用常数变量和临时变量

你需要在Jdeveloper中增加内存大小，转到setDomainEnv.cmd。

set WLS_HOME=%WL_HOME%\server    
set XMS_SUN_64BIT=**256**
set XMS_SUN_32BIT=**256**
set XMX_SUN_64BIT=**3072**
set XMX_SUN_32BIT=**3072**
set XMS_JROCKIT_64BIT=**256**
set XMS_JROCKIT_32BIT=**256**
set XMX_JROCKIT_64BIT=**1024**
set XMX_JROCKIT_32BIT=**1024**

if "%JAVA_VENDOR%"=="Sun" (
    set WLS_MEM_ARGS_64BIT=**-Xms256m -Xmx512m**
    set WLS_MEM_ARGS_32BIT=**-Xms256m -Xmx512m**
) else (
    set WLS_MEM_ARGS_64BIT=**-Xms512m -Xmx512m**
    set WLS_MEM_ARGS_32BIT=**-Xms512m -Xmx512m**
)

and

set MEM_PERM_SIZE_64BIT=-XX:PermSize=**256m**
set MEM_PERM_SIZE_32BIT=-XX:PermSize=**256m**

if "%JAVA_USE_64BIT%"=="true" (
    set MEM_PERM_SIZE=%MEM_PERM_SIZE_64BIT%
) else (
    set MEM_PERM_SIZE=%MEM_PERM_SIZE_32BIT%
)

set MEM_MAX_PERM_SIZE_64BIT=-XX:MaxPermSize=**1024m**
set MEM_MAX_PERM_SIZE_32BIT=-XX:MaxPermSize=**1024m**