![compiling java with jdk 12 compiling java with jdk 12](https://www.graalvm.org/resources/img/java/20.3vs11.png)
![compiling java with jdk 12 compiling java with jdk 12](https://docs.oracle.com/javase/tutorial/figures/getStarted/nb-javatutorial-add-platform.png)
# jdeps can help identify which modules an application uses RUN tar -extract -file $JAVA_HOME/ -directory "$JAVA_HOME" -strip-components 1 \ The final stage simply runs our netty application using the custom JRE: FROM alpine:3.10 AS build
#COMPILING JAVA WITH JDK 12 DOWNLOAD#
The Dockerfile below uses multi-stage builds feature, where in the build stage we download the openjdk Alpine linux jdk build and calls Project Jigsaw’s jlink, which offers the ability to produce a minimal JRE based on the modules our application requires. Those images are not using Portola or any other port of the jvm, they're simply adding glibc package on top of Alpine. It is free, open source and docker ready.Īlso, you probably already used (or using right now) Alpine images provided by AdoptOpenJDK. It supports Java 11 & 12 and it is, as far as I know, the only certified OpenJDK build on alpine. Azul's Zulu OpenJDK offers a compelling alternative as well. It is worthwhile to mention that IcedTea project provides stable Alpine OpenJDK builds for versions 7 and 8. It still in experimental status, needs more hardening and no GA is available for the moment. An early access is available as part of java 13. This is the goal of OpenJDK (, that aims to provide a port of the JDK to Alpine Linux, and in-particular the musl C library.
#COMPILING JAVA WITH JDK 12 CODE#
If you take a look at the OpenJDK repository, you notice the presence of many C/C++ code (around 19%)! The JVM has been already ported to glibc, but in order to ensure a transparent run of the JVM (and its C/C++ code) on musl, an effort should be made to port the JVM to it as well. The problem is when applications are compiled, they are compiled against a specific libc for the most part and if you want to use them with another libc you have to recompile them. This comparison chart gives a very detailed picture of the differences between the libc implementations available for Linux. Although both are implementation of the same abstraction library, they expose slightly different APIs. However, you won't be surprised to know that the most widely used C library on all major Linux distributions is the GNU C Library, referred to as glibc. This is basically the standardized interface between the kernel and userland, doing such things string handling, mathematical computations, input/output processing, memory management, and several other operating system services. Musl libc is an implementation of libc, the standard library for the C programming language. it provides the core functionalities for dozens of standard programs, such as awk, cp, grep, gzip, sh and top. It combines tiny versions of many common UNIX utilities into a single small executable.
![compiling java with jdk 12 compiling java with jdk 12](https://javadoc.scijava.org/Java12/jdk.compiler/module-graph.png)
Alpine is built around musl libc and busy busybox.īusybox is, as stated by its creator Bruce Perens, "The Swiss Army Knife of Embedded Linux". The official alpine 3.10 docker image has a size of ~3M, compared to 28M for the ubuntu eoan Image, which makes it the favorite distro to use as the base image, where small size is highly desirable. Please use the early-access JDK 13 Alpine Linux build in its place.Īlpine is a security focused, general purpose, lightweight linux distribution. It’s not production-ready because it hasn’t been tested thoroughly enough to be considered a GA build. The Alpine Linux build previously available on this page was removed as of JDK 12.0.1 GA.
![compiling java with jdk 12 compiling java with jdk 12](https://i.stack.imgur.com/gVEH2.jpg)
However, Java developers might find issues while running their containerized applications on alpine as stated on the OpenJdk 12 page: ), and when it comes to lightweight distributions, Alpine Linux is by far the favorite choice. There are considerable benefits of using, building and deploying small container images (small attack surface, faster updates, less network costs.