Open Source Cloud Authors: Pat Romanski, Liz McMillan, Yeshim Deniz, Zakia Bouachraoui, William Schmarzo

Related Topics: Open Source Cloud

Open Source Cloud: Article

Java Technology On The Linux Platform

Java Technology On The Linux Platform

The Java 2 Platform, Standard Edition (J2SE technology) v1.3 for Linux means that Linux users and developers can take advantage of thousands of Java technology-based applications, from enterprise e-commerce infrastructure to client-side applications. It also opens up a huge emerging market for companies that already develop Java products.

The Java 2 Platform port was developed with the assistance of the blackdown.org porting group. Although Linux is a UNIX-based operating system, it's evolved at a different pace and direction than other UNIX platforms, making a port of the Java platform a sizable challenge. Many important bug fixes have gone into the Linux operating system and associated GNU libraries as a result of the work initiated by Blackdown, not just on Intel-based distributions but also Power PC and Sparc platforms. In particular, the linuxthreads library has improved dramatically over the past year on multiprocessor machines.

In an ideal world, the Java 2 Platform, combined with Java development tools such as Forté Community Edition, should be all you need to develop your projects. However, if the Linux operating system is a new development environment for you and you've previously developed with the Java 2 Platform for Windows or Solaris, you might find Linux a little different. This article provides tips to bring you up to speed as quickly as possible developing on the Linux platform.

SDK and JRE Installation Tips
Installation is straightforward, but be aware that the Java Runtime Environment (JRE) and Java Software Developer Toolkit (SDK) Red hat Package Management (RPM) files are installed by default to /usr/java. If you want these files in a different location, install with the rpm command:

rpm -i --badreloc --relocate /usr/java/=/usr/local/home j2sdk-1_3_0-linux.rpm

After relocating the files as shown above, start developing by adding the bin directory from the SDK or JRE installation to your $PATH. For example, using the bash shell, the $PATH is updated:

export PATH=/usr/java/jdk1.3/bin:$PATH

To verify that you've configured your environment, run the java -version command, and you should see a version string confirming that you've installed the Java 2 Runtime Environment:

java -version
java version "1.3.0"
Java™ 2 Runtime Environment, Standard Edition (build 1.3.0)
Java HotSpot™ Client VM (build 1.3.0, mixed mode)

Java Plug-in Installation Tips
The J2SE plug-in is embedded inside the Java Runtime directory. As long as the Netscape browser can find the plug-in library from within the Java Runtime directory, it can also find the additional runtime files it needs.

To let your Netscape browser know where the Java plug-in library is, set the NPX_PLUGIN_PATH environment variable to point to the directory where the javaplugin.so shared library is located:

export NPX_PLUGIN_PATH=/usr/java/jdk1.3/jre/plugin/i386

To configure the Java plug-in properties, use the ControlPanel program located in the jre/bin directory. In the example above, the program is /usr/java/jdk1.3/jre/bin/ControlPanel.

Java HotSpot Virtual Machine
This is the first release on Linux that includes the Java HotSpot Virtual Machine. Both the client and server Java HotSpot compilers are included by default in the Java Runtime Environment. These two solutions share the unique Java HotSpot runtime environment, but have different compilers optimized for the specific performance requirements of client- and server-side-based applications. The bundling of these virtual machines in one package provides developers with increased flexibility and convenience in deploying their client- or server-based Java technology applications.

By default the client compiler is enabled, but for intense server-side applications, the server compiler can be run using the -server runtime option. The Java HotSpot Virtual machine normally runs in a mixed mode, as seen in the version output. This means HotSpot will dynamically compile Java bytecodes into native code when a number of criteria have been met, including how many times the method has been run through the interpreter. The mixed runtime mode normally results in the best performance.

About Linux Threads
One major difference between developing on Linux and other UNIX operating systems is the system threads library. In Java 2 releases prior to 1.3, the JVM uses its own threads library, known as greenThreads, to implement threads in the Java platform. The GreenThreads implementation minimizes the JVM's exposure to differences in the LinuxThreads library and makes the port easier to complete. The downside to GreenThreads is that system threads on Linux are not taken advantage of, so the JVM doesn't scale well when additional CPUs are added.

In J2SE Release 1.3, the HotSpot virtual machine uses Linux system threads to implement JavaThreads. Because LinuxThreads are implemented as a cloned process, each JavaThread shows up in the process table if you run the ps command. Although this may look different, it's normal behavior for threaded programs on Linux:

java -jar Notepad.jar
ps -eo pid,ppid,command

In Table 1, the process id 11712 is the invoked JVM. The other processes with id 11712 as the parent process (listed under the PPID column) are JavaThreads implemented by the Linux system threads library. Each LinuxThread is created as a process clone operation that leaves the task of scheduling threads to the process scheduler.
On Solaris, however, JavaThreads are mapped onto user threads, which in turn are run on lightweight processes (LWP). On Windows the threads are created inside the process itself. Today, creating a large number of JavaThreads on Solaris and Windows is faster than on Linux. Thus, you might need to adjust programs that rely on platform-specific timing to take a little longer on startup when they run on Linux.

Linux Debugging Tools
As you learned in the section on threads, LinuxThreads are implemented as Linux processes. This makes debugging Java programs running on Linux a little tricky, but not impossible. This section explains how to attach the gdb GNU debugger to the JVM, and how to start the JVM with gdb to run debugging commands.

Using GDB
Going back to the example in the threads section, if the JVM is already running, you can attach the system gdb tool as follows:

gdb /usr/java/jdk1.3/bin/i386/native_threads/java 11712

The output from using the gdb tool should look similar to Listing 1. At this point the gdb tool has connected to the running Java process and is waiting for user input.

With gdb attached to the JVM, you can run any gdb commands. If you've used gdb before, these commands will look familiar. The info threads command lists the LinuxThreads, the t 12 command selects thread number 12 as the current thread, and the where command lists the stack frames in that thread (thread number 12, in this example). The output from an example session is shown in Listing 2.

Starting a Java Virtual Machine using gdb
Attaching a gdb trace to an existing program is usually the easiest way to debug a deadlock JVM; however, you might want to start the JVM from within the gdb debug tool from the outset, especially if you suspect the failure happens shortly after your application starts.

To enable the JVM to run from inside gdb on Linux, the following setup needs to be in place:

  1. Set the APPHOME and LD_LIBRARY_PATH environment variables before you run the gdb command. This step is required because the Java program is a shell wrapper that configures the environment for the real Java program to run, and gdb needs to run with the real binary Java program, not the shell wrapper version.
  2. Instruct gdb to ignore the signals that the Hotspot JVM uses to maintain its own state. An example of such a signal is SIGUSR1.
These next lines start the Java 2D demo inside a gdb session. First, the LD_LIBRARY_PATH and APPHOME environment variables are set. In this example, the setup assumes the SDK is installed in the default /usr/java directory:

export APPHOME=/usr/java/jdk1.3 export LD_LIBRARY_PATH=/usr/java/jdk1.3/jre/lib/i386/native_threads:/usr/ java/jdk1.3/jre/lib/i386:/usr/java/jdk1.3/jre/lib/i386/hotspot

  1. Start gdb. The following gdb commands will load the JVM, instruct gdb to stop at the main method, and ignore the signals used by the Hotspot Virtual Machine. The commands can be entered either after gdb has started, or put in a .gdbinit file in your home directory. Once the gdb tool has reached the breakpoint, other breakpoints can be added, or just enter the gdb cont command to continue:
file /usr/java/jdk1.3/jre/lib/i386/native_threads/java
break main
run -jar Java2Demo.jar
handle SIGUSR1 nostop noprint pass
handle SIGSEGV nostop noprint pass
handle SIGILL nostop noprint pass
handle SIGQUIT nostop noprint pass

Generating a Java stack trace on Linux
As LinuxThreads are implemented as Linux processes, this makes debugging Java programs running on Linux a little different. To generate a stack trace from the terminal window that started your application, type the sequence / to send the QUIT signal to generate a stack trace. However, if you need to generate a stack trace from a Java application already running in the background, send the QUIT or signal number 3 to the launcher process id. The launcher process in this example is process id 11667. The stack trace can be generated by sending the signal via the kill command as follows:

kill -3 11667

The resulting stack trace is a snapshot of the JavaThreads and details the state of each thread. In each thread trace, a value called nid - the hex number of the cloned process it came from - can be used to track down deadlocks or busy sections in your application. For more details on analyzing Java stack traces, refer to the "Debugging Applets, Applications, and Servlets" chapter in Advanced Programming for the Java 2 Platform (Addison-Wesley, 2000).

Integrating Native JNI Code on Linux
If you've used native JNI code in your Java application, it probably needs to be recompiled on Linux. Linux distributions come complete with a wealth of GNU tools for compiling C, C++, Fortran, and other languages. Some of the system header files and system calls may be named slightly differently on linux, and the size of structures or global variables may be smaller than on other Unix platforms. A quick run-through of the header files can avoid complex issues later on.

To recompile your native C or C++ code and generate the native library file, use the GNU tool gcc for C programs and g++ for C++ programs, and supply the options as shown in the next example. Finally, set the LD_LIBRARY_PATH environment variable to point to the directory where the final native library is located. In the following examples the native library is called libnativelib.so and is loaded from within a Java program by the using System.loadLibrary("nativelib").

GNU C/Linux

gcc -o libnativelib.so -D_REENTRANT -shared -Wl,-soname,libnative.so -I/usr/java/jdk1.3/include -I/usr/java/jdk1.3/include/linux nativelib.c -static -lc

GNU C++/Linux

g++ -o libnativelib.so -D_REENTRANT -shared -Wl,-soname,libdbmap.so -I/usr/java/jdk1.3/include -I/usr/java/jdk1.3/include/linux nativelib.cc -static -lc

Desktop Differences (Copy and Paste)
If you've been using Windows or a keyboard with a copy and paste key, you may be wondering how to copy and paste text between Java programs and other desktop programs and terminals.

Linux uses a mouse-driven copy-and-paste mechanism in which mouse button one selects and copies text, and mouse button two pastes the text. This technique works for Abstract Window Toolkit (AWT) components because they use the primary selection to achieve copy and paste. Project Swing components, however, use the system clipboard for copy and paste, and most tools on the desktop, apart from the Netscape browser, don't use the clipboard.

A workaround to this limitation is to map a key or mouse button to access the system clipboard:

*VT100.Translations: #override \
<Btn3Up>:       select-end(CLIPBOARD) \n\
<Btn2Up>:       insert-selection(CLIPBOARD) \n

The lines above can be passed as a value to an X tool using the -xrm option. Alternatively, the mapping can be made accessible to the entire desktop by including it in the .Xdefaults file in the user's home directory. The command xrdb -merge $HOME/.Xdefaults will reload updates in the .Xdefaults file.

Using Linux to develop and deploy applications written in Java has the same benefits as developing on any Java platform. Thousands of Java applications are available, and because they're cross-platform, those compiled on Linux will work right out of the box on Windows or any other Java-enabled platform.

In addition, the amount of Linux knowledge needed to develop or deploy Java applications is relatively small, making Linux an attractive choice as a development platform.

Java technologies on linux: http://java.sun.com/linux
Blackdown Java porting team: http://blackdown.org

More Stories By Maureen O'Gara

Maureen O'Gara the most read technology reporter for the past 20 years, is the Cloud Computing and Virtualization News Desk editor of SYS-CON Media. She is the publisher of famous "Billygrams" and the editor-in-chief of "Client/Server News" for more than a decade. One of the most respected technology reporters in the business, Maureen can be reached by email at maureen(at)sys-con.com or paperboy(at)g2news.com, and by phone at 516 759-7025. Twitter: @MaureenOGara

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.

IoT & Smart Cities Stories
Every organization is facing their own Digital Transformation as they attempt to stay ahead of the competition, or worse, just keep up. Each new opportunity, whether embracing machine learning, IoT, or a cloud migration, seems to bring new development, deployment, and management models. The results are more diverse and federated computing models than any time in our history.
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Digital Transformation is much more than a buzzword. The radical shift to digital mechanisms for almost every process is evident across all industries and verticals. This is often especially true in financial services, where the legacy environment is many times unable to keep up with the rapidly shifting demands of the consumer. The constant pressure to provide complete, omnichannel delivery of customer-facing solutions to meet both regulatory and customer demands is putting enormous pressure on...
IoT is rapidly becoming mainstream as more and more investments are made into the platforms and technology. As this movement continues to expand and gain momentum it creates a massive wall of noise that can be difficult to sift through. Unfortunately, this inevitably makes IoT less approachable for people to get started with and can hamper efforts to integrate this key technology into your own portfolio. There are so many connected products already in place today with many hundreds more on the h...
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addr...
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Charles Araujo is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is also the founder of The Institute for Digital Transformation and a sought after keynote speaker. He has been a regular contributor to both InformationWeek and CIO Insight...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...