优化Android Studio/Gradle构建

开启gradle单独的守护进程

在下面的目录下面创建gradle.properties文件：

• /home/<username>/.gradle/ (Linux)
• /Users/<username>/.gradle/ (Mac)
• C:\Users\<username>\.gradle (Windows)
• 把下面配置复制gradle.properties文件也可以优化：

# Project-wide Gradle settings.
# IDE (e.g. Android Studio) users:
# Settings specified in this file will override any Gradle settings
# configured through the IDE.
# For more details on how to configure your build environment visit
# http://www.gradle.org/docs/current/userguide/build_environment.html
# The Gradle daemon aims to improve the startup and execution time of Gradle.
# When set to true the Gradle daemon is to run the build.
# TODO: disable daemon on CI, since builds should be clean and reliable on servers
org.gradle.daemon=true
# Specifies the JVM arguments used for the daemon process.
# The setting is particularly useful for tweaking memory settings.
# Default value: -Xmx10248m -XX:MaxPermSize=256m
org.gradle.jvmargs=-Xmx2048m -XX:MaxPermSize=512m -XX:+HeapDumpOnOutOfMemoryError -Dfile.encoding=UTF-8
# When configured, Gradle will run in incubating parallel mode.
# This option should only be used with decoupled projects. More details, visit
# http://www.gradle.org/docs/current/userguide/multi_project_builds.html#sec:decoupled_projects
org.gradle.parallel=true
# Enables new incubating mode that makes Gradle selective when configuring projects.
# Only relevant projects are configured which results in faster builds for large multi-projects.
# http://www.gradle.org/docs/current/userguide/multi_project_builds.html#sec:configuration_on_demand
org.gradle.configureondemand=true

 

同时上面的这些参数也可以配置到前面的用户目录下的gradle.properties文件里，那样就不是针对一个项目生效，而是针对所有项目生效。

上面的配置文件主要就是做， 增大gradle运行的java虚拟机的大小，让gradle在编译的时候使用独立进程，让gradle可以平行的运行。

1.申请大内存

installation path\studio64.exe.vmoptions or studio.exe.vmoptions

使用文本编辑器打开，找到起始两行，如下

-Xms128m
-Xmx750m

 

修改最小值和最大值，建议为

-Xms256m
-Xmx2048m

 

优化编译

     file->setting->compile

     勾选除第二项之外的其他选项，并在VM options里填入：

     -Xmx2048m -XX:MaxPermSize=512m -XX:+HeapDumpOnOutOfMemoryError -Dfile.encoding=UTF-8

 

经过测试，编译速度有很大提升，比较大的项目从之前的5-8分钟可以减少到1-2分钟