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2011年12月1日星期四

Why VisualVM cannot find Local Tomcat automatically ?

Tomcat is also a Java application, isn’t it? So when I launch VisualVM (when local Tomcat is already running), the icon cat must be there!

However, when I use JDK 6 (>=6u23), I cannot see it.

According to Internet blogs and disscussion, the reason is that:

Tomcat (>= Version 6) does not write its “TEMP File” into system default temp folder. It uses the private folder!
In contrast, monitoring tools (like JConsole, VisualVM, etc.) tend to find local applications by checking temperory files in “SYSTEM DEFAULT FOLDER”. So that is why monitoring tools cannot find Tomcat.

There are two solutions:

1,   Build Remote Connection in Monitoring tools. By treating “disappeared” Tomcat as a “Remote” java application, the monitoring tools no longer need the “TEMP FILE” of local Tomcat.
If you choose this solution, you need to:
(a)  defind customized variables in Tomcat’s configuration folder (e.g.  %Tomcat_Root%/bin) as follows:

Here pay attention that the separator between different options is a single SPACE, rather than any other character or Line-Change.

(b) then you can start Tomcat by run the “startup.bat” (// ”startup.sh” for linux)

(c) create new “Add JXM Connection”, input the configuration string as “localhost:9090”.  // here the port should be same as what you defined in “setenv.bat” file. Then click OK. You will find a “Remote” Icon cat appears.




2,    You can also choose to solve the “TEMP FILE MISSING” problem. If you choose this, you need to:


(a) create the “setenv.bat” file in %Tomcat_Root%/bin folder, and then add the following variable.


(b) then you can start your Tomcat again. You will see the Icon Cat appear now.

2011年11月28日星期一

Why VisualVM 1.3.3 cannot do CPU Time Sampling

Today I installed VisualVM 1.3.3 (the newest released version from visualvm.java.net). However, it appears that CPU Sampling Function is automatically disabled.

When I debug the VisualVM 1.3.3 through NetBeans, it appears the following exception information.


I searched the resource code and find that :



  1. in VisualVM 1.3.3, three new source files are added in plugin folder “Sample/CPU”. It appears that some detailed CPU usage information is available in the 1.3.3 version.

  2. in the new-added source “ThreadsCPU.java”, line 55. It writes that method “getThreadCpuTime” of ThreadMXBean is called, and expected return type is “long[]”. In contrast, in VisualVM 1.3.2 and former version, there is no such new code.

Interestingly, I found that there is “//NOI18N” comment in the end of the code like follows:




So let’s have a look at the javaDoc of JDK itself.


If we open the javadoc of OpenJDK, we can easily find that there is no such method in ThreadMXBean:


but if we open Sun Jdk (newer than 6u25), we can find the following hint:


So if users’ JDK is OpenJDK, or older version JDK (< 6u25), the “NoSuchMethodException” will definitely occured!

 

But the problem is WHY THE WHOLE CPU SAMPLING FUNCTION IS DISABLED ?

Let’s look at where the ThreadsCPU.java is invoked. It is in SampleImpl.java, line 551. Here we can easily find that the try-catch structure is so strong that normal logics are broken down.


try {
tcpu.getThreadsCPUInfo();
} catch (Exception ex) {
tcpu = null;

throw new RuntimeException(ex);

}



So let’s make some tiny change to it, as follows:





OK, we are DONE!


Now if users’ JDK does not support new getThreadCpuTime method, users can AT LEAST use functions same with VisualVM (Version 1.3.2).

2011年11月25日星期五

How to browse the fields of WMI Classes

We can use SQL-like language to query system-level information (including performance information) by WMI.

But the problem is that new users do not know what the definition of 'SQL Tables'. What kind of "Columns" do they have?

So it is very necessary for new users to check the content of each WMI classes.

******************************************************************************
Step 1: Run WBEMTEST.
(You can invoke it by inputting the name into Windows Start -> Run Dialog Box)

Step 2: Click the [Connection] Button, then you can see a jump-out dialog.

Step 3: In this [Connection] Dialog, change the Namespace (in the textfield) to "root\cimv2", and then click [Connect]. Then you find yourself retured back.

Step 4: Now click the [Enum Classes] button. And then choose [Recursive] Radio button with leaving the main text field blank. Then click [OK].

Step 5: Now you can see that all WMI Classes (e.g. Win32_System) are listed in the new Jump-out window. Now you can browse them using the scollbar.

Step 6: If you want to check the fields of certain class, just double-click it from the list. then you can browse its detailed information in a new window.


Use PerfMon to Find why your Windows Computer is Slow

I found a valuable post in other people's blog.
I think the knowledge about PerfMon (a tool embedded in Windows, majoring in System Performance Browse) can help you determine the bottleneck of your PC.


*********************************************************************************

Windows Perfmon: The Top Ten Counters

One of the things I love about Windows is Performance Monitor a/k/a PerfMon. It's an amazing tool that goes far too often unused - and when it does get used, it is often misinterpreted. So today I'm going to take you on the nickel tour through PerfMon, and the ten counters most valuable to determining overall system health and activity.

To open PerfMon, just go to the Start Menu, choose Run and type perfmon.
Bottleneck analysis
The most common use of PerfMon is to answer the burning question: why is my system running slow?

With the five performance counters listed below, you can quickly get an overall impression of how healthy a system is - and where the problems are, if they exist. The idea here is to pick counters that will be at low or zero values when the system is healthy, and at high values when something is overloaded. A 'perfectly healthy' system would show all counters flatlined at zero. (Perfection is unattainable, so you'll probably never see all of these counters flatlined at zero in real life. The CPU will almost always have a few items in queue.)
  • Processor utilization
    • System\Processor Queue Length - number of threads queued and waiting for time on the CPU. Divide this by the number of CPUs in the system. If the answer is less than 10, the system is most likely running well.
  • Memory utilization
    • Memory\Pages Input/Sec - The best indicator of whether you are memory-bound, this counter shows the rate at which pages are read from disk to resolve hard page faults. In other words, the number of times the system was forced to retreive something from disk that should have been in RAM. Occasional spikes are fine, but this should generally flatline at zero.
  • Disk Utilization
    • PhysicalDisk\Current Disk Queue Length\driveletter - this is probably the single most valuable counter to watch. It shows how many read or write requests are waiting to execute to the disk. For single disks, it should idle at 2-3 or lower, with occasional spikes being okay. For RAID arrays, divide by the number of active spindles in the array; again try for 2-3 or lower. Because a shortage of RAM will tend to beat on the disk, look closely at the Memory\Pages Input/Sec counter if disk queue lengths are high.
  • Network Utilization
    • Network Interface\Output Queue Length\nic name - is the number of packets in queue waiting to be sent. If there is a sustained average of more than two packets in queue, you should be looking to resolve a network bottleneck.
    • Network Interface\Packets Received Errors\nic name - packet errors that kept the TCP/IP stack from delivering packets to higher layers. This value should stay low.
To highlight a particular counter's line on the graph, select that counter in the lower pane. Then click the lightbulb icon on the toolbar above the graph. This will make the line for that counter turn thick and white (or black on some systems - I never found out why this changes).

Pay close attention to the scale column! Perfmon attempts to automatically pick a scale that will magnify or reduce the counter enough to produce a meaningful line on the graph ... but it doesn't always get it right. As an example, Perfmon often chooses to multiply Disk Queue Length by 100. So, you might think the disk queue length is sustained at 10 (bad!) when in fact it's really at 1 (good). If you're not sure, highlight the counter in the lower pane, and watch the Last and Average values just below the graph. In the screenshot below, I modified all of the counters to a scale value of 1.0, then changed the graph's vertical axis to go from 0-10.
To change graph properties (like scale and vertical axis as discussed above), rightclick the graph and chooseProperties. There are a number of things to customize here ... fiddle with it until you have a graph that looks good to you.
To get a more detailed explanation of any counter, rightclick anywhere in the perfmon graph and choose Add Counters. Select the counter and object that you are curious about, and click the Explain button.
This screenshot shows a very lightly-loaded XP system, with the Memory\Pages Input/Sec counter highlighted:
Click for larger image


All we see here is the Proccessor Queue Length hovering between 1 and 4, and two short spikes of Pages Input/Sec. All other counters are flatlined at zero, which is easy to check by highlighting each of them and watching the values bar underneath the graph. This is a happy system - no problems here!
But if we saw any of the above counters averaging more than 2-4 for long periods of time (except Processor Queue Length: don't worry unless it's above 10 for long lengths of time), we'd be able to conclude that there was a problem with that subsystem. We could then drill down using more detailed counters to see exactly what was causing that subsystem to be overloaded. More detailed analysis is beyond the scope of this article, but if there's enough interest I could do a second article on that. Leave a comment if you're interested!
General activity counters
Well, the system is healthy - and that's good ... but how hard is it working? Is the processor workin' hard, or hardly workin'? How much RAM is in use, how many bytes are being written to or read from the disk or network? The following counters are a good overview of general activity of the system.
  • Processor utilization
    • Processor\% Processor Time\_Total - just a handy idea of how 'loaded' the CPU is at any given time. Don't confuse 100% processor utilization with a slow system though - processor queue length, mentioned above, is much better at determining this.
  • Memory utilization
    • Process\Working Set\_Total (or per specific process) - this basically shows how much memory is in the working set, or currently allocated RAM.
    • Memory\Available MBytes - amount of free RAM available to be used by new processes.
  • Disk Utilization
    • PhysicalDisk\Bytes/sec\_Total (or per process) - shows the number of bytes per second being written to or read from the disk.
  • Network Utilization
    • Network Interface\Bytes Total/Sec\nic name - Measures the number of bytes sent or received.
In the graph below, I added these five counters to my existing 'bottlenecks' graph, and changed the vertical axis to go from 0-100. I highlighted the Working Set\_Total counter, which is currently at about 123 megabytes for the system. Notice how it shows a thick line at the top of the graph - you could assume that it was pegged at 100, if you didn't read the values bar (123,052,03 divided by a million is approximately 123 megabytes).
Click for larger image

And ... that's all for now. Hopefully this quick show-and-tell has given you enough information to use PerfMon more usefully in the future!

2011年11月24日星期四

How to run VisualVM in Ubuntu

Today I spent one hour struggling with running VisualVM in Ubuntu.
I am new hand in Linux OS. So I hope my experience can help people in similar conditions.
First, of course, you need to install Java Development Kit (JDK) into your ubuntu since it is not defauly installed.
The command I used is:

java –version (# make sure the path is correct, and “JDK” reveals in the path) (# if your installation of JAVA failed, you cannot get correct response by this command)
Second, it is time to install VisualVM.
VisualVM is free and open source software. If you install Sun-JDK, it is already binded. If you installed open-JDK like me, you need to download and install it independently.

After installation, the main code and resources of VisualVM can be found in default installation path (in my PC, it is “usr/lib/visualVM”), and the short cut start file (“jvisualvm”) will be created in “usr/lib”.
Third, before you directly run VisualVM, you MUST edit the auto-generated script file “jvisualvm” to match the java environment.
I hate using VI in Linux because I cannot remember hotkeys. So I installed leafpad (a simple notepad software) to edit txt files.


sudo chmod +w /usr/lib/jvisualvm (# use this command to change script file from “Readonly” mode to “Read & Write Mode”) sudo leafpad /usr/lib/jvisualvm (# use this command to invoke leafpad, to edit the content of script file -- jvisualvm)

The default content of script file MUST be changed, unless you cannot launch VisualVM successfully.
There is a section of code (as follows) in the file. (maybe starts from line 12). It means that the system checks all given paths (from [path1] to [path n]), if any path includes file “javac” in sub-folder “[path]/bin”, then VisualVM will use this path as “jdkhome”.
So here lies the problem.
WHEN YOU INSTALL VISUALVM, the content of this script file will not be updated according to your own JAVA ENVIRONMENT.
so I changed the this section of code as follows to solve the problem (by inserting my JDK path into condition part):
DO NOT FORGET TO SAVE THE FILE!
DO NOT FORGET TO REOPEN THE FILE TO CHECK YOUR CHANGE!
Now, you can successfully invoke VisualVM.
Enjoy monitoring!

2011年10月27日星期四

A Visual Guide to Version Control

I found a pretty well blog from Internet. So I copied it here.

Thanks to the original author of this post! Thanks! (Original URL : A Visual Guide to Version Control

------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

A Visual Guide to Version Control

Version Control (aka Revision Control aka Source Control) lets you track your files over time. Why do you care? So when you mess up you can easily get back to a previous working version.

You’ve probably cooked up your own version control system without realizing it had such a geeky name. Got any files like this? (Not these exact ones I hope).

  • KalidAzadResumeOct2006.doc
  • KalidAzadResumeMar2007.doc
  • instacalc-logo3.png
  • instacalc-logo4.png
  • logo-old.png

It’s why we use “Save As”. You want the new file without obliterating the old one. It’s a common problem, and solutions are usually like this:

  • Make a single backup copy (Document.old.txt).
  • If we’re clever, we add a version number or date: Document_V1.txt, DocumentMarch2007.txt
  • We may even use a shared folder so other people can see and edit files without sending them over email. Hopefully they relabel the file after they save it.

So Why Do We Need A Version Control System (VCS)?

Our shared folder/naming system is fine for class projects or one-time papers. But software projects? Not a chance.

Do you think the Windows source code sits in a shared folder like “Windows2007-Latest-UPDATED!!”, for anyone to edit? That every programmer just works in a different subfolder? No way.

Large, fast-changing projects with many authors need a Version Control System (geekspeak for “file database”) to track changes and avoid general chaos. A good VCS does the following:

  • Backup and Restore. Files are saved as they are edited, and you can jump to any moment in time. Need that file as it was on Feb 23, 2007? No problem.
  • Synchronization. Lets people share files and stay up-to-date with the latest version.
  • Short-term undo. Monkeying with a file and messed it up? (That’s just like you, isn’t it?). Throw away your changes and go back to the “last known good” version in the database.
  • Long-term undo. Sometimes we mess up bad. Suppose you made a change a year ago, and it had a bug. Jump back to the old version, and see what change was made that day.
  • Track Changes. As files are updated, you can leave messages explaining why the change happened (stored in the VCS, not the file). This makes it easy to see how a file is evolving over time, and why.
  • Track Ownership. A VCS tags every change with the name of the person who made it. Helpful for blamestorming giving credit.
  • Sandboxing, or insurance against yourself. Making a big change? You can make temporary changes in an isolated area, test and work out the kinks before “checking in” your changes.
  • Branching and merging. A larger sandbox. You can branch a copy of your code into a separate area and modify it in isolation (tracking changes separately). Later, you canmerge your work back into the common area.

Shared folders are quick and simple, but can’t beat these features.

 

Learn the Lingo

Most version control systems involve the following concepts, though the labels may be different.

Basic Setup

  • Repository (repo): The database storing the files.
  • Server: The computer storing the repo.
  • Client: The computer connecting to the repo.
  • Working Set/Working Copy: Your local directory of files, where you make changes.
  • Trunk/Main: The primary location for code in the repo. Think of code as a family tree — the trunk is the main line.

Basic Actions

  • Add: Put a file into the repo for the first time, i.e. begin tracking it with Version Control.
  • Revision: What version a file is on (v1, v2, v3, etc.).
  • Head: The latest revision in the repo.
  • Check out: Download a file from the repo.
  • Check in: Upload a file to the repository (if it has changed). The file gets a new revision number, and people can “check out” the latest one.
  • Checkin Message: A short message describing what was changed.
  • Changelog/History: A list of changes made to a file since it was created.
  • Update/Sync: Synchronize your files with the latest from the repository. This lets you grab the latest revisions of all files.
  • Revert: Throw away your local changes and reload the latest version from the repository.

Advanced Actions

  • Branch: Create a separate copy of a file/folder for private use (bug fixing, testing, etc). Branch is both a verb (“branch the code”) and a noun (“Which branch is it in?”).
  • Diff/Change/Delta: Finding the differences between two files. Useful for seeing what changed between revisions.
  • Merge (or patch): Apply the changes from one file to another, to bring it up-to-date. For example, you can merge features from one branch into another. (At Microsoft this was called Reverse Integrate and Forward Integrate)
  • Conflict: When pending changes to a file contradict each other (both changes cannot be applied).
  • Resolve: Fixing the changes that contradict each other and checking in the correct version.
  • Locking: Taking control of a file so nobody else can edit it until you unlock it. Some version control systems use this to avoid conflicts.
  • Breaking the lock: Forcibly unlocking a file so you can edit it. It may be needed if someone locks a file and goes on vacation (or “calls in sick” the day Halo 3 comes out).
  • Check out for edit: Checking out an “editable” version of a file. Some VCSes have editable files by default, others require an explicit command.

And a typical scenario goes like this:

Alice adds a file (list.txt) to the repository. She checks it out, makes a change (puts “milk” on the list), and checks it back in with a checkin message (“Added required item.”). The next morning, Bob updates his local working set and sees the latest revision oflist.txt, which contains “milk”. He can browse the changelog or diff to see that Alice put “milk” the day before.

Visual Examples

This guide is purposefully high-level: most tutorials throw a bunch of text commands at you. Let’s cover the high-level concepts without getting stuck in the syntax (the Subversion manual is always there, don’t worry). Sometimes it’s nice to see what’s possible.

Checkins

The simplest scenario is checking in a file (list.txt) and modifying it over time.

version control checkin

Each time we check in a new version, we get a new revision (r1, r2, r3, etc.). In Subversion you’d do:

svn add list.txt
(modify the file)
svn ci list.txt -m "Changed the list"


The -m flag is the message to use for this checkin.

Checkouts and Editing


In reality, you might not keep checking in a file. You may have to check out, edit and check in. The cycle looks like this:

version control checkout

If you don’t like your changes and want to start over, you can revert to the previous version and start again (or stop). When checking out, you get the latest revision by default. If you want, you can specify a particular revision. In Subversion, run:


svn co list.txt (get latest version)
...edit file...
svn revert list.txt (throw away changes)

svn co -r2 list.txt (check out particular version)


Diffs


The trunk has a history of changes as a file evolves. Diffs are the changes you made while editing: imagine you can “peel” them off and apply them to a file:

version control diff

For example, to go from r1 to r2, we add eggs (+Eggs). Imagine peeling off that red sticker and placing it on r1, to get r2.

And to get from r2 to r3, we add Juice (+Juice). To get from r3 to r4, we remove Juice and add Soup (-Juice, +Soup).

Most version control systems store diffs rather than full copies of the file. This saves disk space: 4 revisions of a file doesn’t mean we have 4 copies; we have 1 copy and 4 small diffs. Pretty nifty, eh? In SVN, we diff two revisions of a file like this:

svn diff -r3:4 list.txt

Diffs help us notice changes (“How did you fix that bug again?”) and even apply them from one branch to another.

Bonus question: what’s the diff from r1 to r4?

+Eggs
+Soup


Notice how “Juice” wasn’t even involved — the direct jump from r1 to r4 doesn’t need that change, since Juice was overridden by Soup.

Branching


Branches let us copy code into a separate folder so we can monkey with it separately:

version control branch

For example, we can create a branch for new, experimental ideas for our list: crazy things like Rice or Eggo waffles. Depending on the version control system, creating a branch (copy) may change the revision number.

Now that we have a branch, we can change our code and work out the kinks. (“Hrm… waffles? I don’t know what the boss will think. Rice is a safe bet.”). Since we’re in a separate branch, we can make changes and test in isolation, knowing our changes won’t hurt anyone. And our branch history is under version control.

In Subversion, you create a branch simply by copying a directory to another.

svn copy http://path/to/trunk http://path/to/branch

So branching isn’t too tough of a concept: Pretend you copied your code into a different directory. You’ve probably branched your code in school projects, making sure you have a “fail safe” version you can return to if things blow up.

Merging


Branching sounds simple, right? Well, it’s not — figuring out how to merge changes from one branch to another can be tricky.

Let’s say we want to get the “Rice” feature from our experimental branch into the mainline. How would we do this? Diff r6 and r7 and apply that to the main line?

Wrongo. We only want to apply the changes that happened in the branch!. That means we diff r5 and r6, and apply that to the main trunk:

version control merge

If we diffed r6 and r7, we would lose the “Bread” feature that was in main. This is a subtle point — imagine “peeling off” the changes from the experimental branch (+Rice) and adding that to main. Main may have had other changes, which is ok — we just want to insert the Rice feature.

In Subversion, merging is very close to diffing. Inside the main trunk, run the command:

svn merge -r5:6 http://path/to/branch

This command diffs r5-r6 in the experimental branch and applies it to the current location. Unfortunately, Subversion doesn’t have an easy way to keep track of what merges have been applied, so if you’re not careful you may apply the same changes twice. It’s a planned feature, but the current advice is to keep a changelog message reminding you that you’ve already merged r5-r6 into main.

Conflicts


Many times, the VCS can automatically merge changes to different parts of a file. Conflictscan arise when changes appear that don’t gel: Joe wants to remove eggs and replace it with cheese (-eggs, +cheese), and Sue wants to replace eggs with a hot dog (-eggs, +hot dog).

version control conflict

At this point it’s a race: if Joe checks in first, that’s the change that goes through (and Sue can’t make her change).

When changes overlap and contradict like this, the VCS may report a conflict and not let you check in — it’s up to you to check in a newer version that resolves this dilemma. A few approaches:


  • Re-apply your changes. Sync to the the latest version (r4) and re-apply your changes to this file: Add hot dog to the list that already has cheese.
  • Override their changes with yours. Check out the latest version (r4), copy over your version, and check your version in. In effect, this removes cheese and replaces it with hot dog.

Conflicts are infrequent but can be a pain. Usually I update to the latest and re-apply my changes.

Tagging


Who would have thought a version control system would be Web 2.0 compliant? Many systems let you tag (label) any revision for easy reference. This way you can refer to “Release 1.0″ instead of a particular build number:

version control tag

In Subversion, tags are just branches that you agree not to edit; they are around for posterity, so you can see exactly what your version 1.0 release contained. Hence they end in a stub — there’s nowhere to go.

(in trunk)
svn copy http://path/to/revision http://path/to/tag


Real-life example: Managing Windows Source Code


We guessed that Windows was managed out of a shared folder, but it’s not the case. Sohow’s it done?


  • There’s a main line with stable builds of Windows.
  • Each group (Networking, User Interface, Media Player, etc.) has its own branch to develop new features. These are under development and less stable than main.

You develop new features in your branch and “Reverse Integrate (RI)” to get them into Main. Later, you “Forward Integrate” and to get the latest changes from Main into your branch:

version control branch example

Let’s say we’re at Media Player 10 and IE 6. The Media Player team makes version 11 in their own branch. When it’s ready and tested, there’s a patch from 10 – 11 which is applied to Main (just like the “Rice” example, but a tad more complicated). This a reverse integration, from the branch to the trunk. The IE team can do the same thing.

Later, the Media Player team can pick up the latest code from other teams, like IE. In this case, Media Player forward integrates and gets the latest patches from main into their branch. This is like pulling in the “Bread” feature into the experimental branch, but again, more complicated.

So it’s RI and FI. Aye aye. This arrangement lets changes percolate throughout the branches, while keeping new code out of the main line. Cool, eh?

In reality, there’s many layers of branches and sub-branches, along with quality metrics that determine when you get to RI. But you get the idea: branches help manage complexity. Now you know the basics of how one of the largest software projects is organized.

Key Takeaways


My goal was to share high-level thoughts about version control systems. Here are the basics:


  • Use version control. Seriously, it’s a good thing, even if you’re not writing an OS. It’s worth it for backups alone.
  • Take it slow. I’m only now looking into branching and merging for my projects. Just get a handle on using version control and go from there. If you’re a small project, branching/merging may not be an issue. Large projects often have experienced maintainers who keep track of the branches and patches.
  • Keep Learning. There’s plenty of guides for SVN, CVS, RCS, Git, Perforce or whatever system you’re using. The important thing is to know the concepts and realize every system has its own lingo and philosophy. Eric Sink has a detailed version control guidealso.

These are the basics — as time goes on I’ll share specific lessons I’ve learned from my projects. Now that you’ve figured out a regular VCS, try an illustrated guide to distributed version control.

2011年10月20日星期四

Why ANT terminates in Eclipse

It is very convenient to use ANT to compile our projects in Eclipse.
Also Eclipse has already integrated ANT, so users do not need to install ANT independently.

But sometimes, ANT will surprisingly terminates during Compiling process.

The reason is that ANT use UTF-8 as default encoding pattern.
But Java JDK/JRE will print out Locale Error and Warning Message during COMPILING process.

So sometimes, Eclipse integrated ANT cannot deal with the error/warning feedback correctly. The underground program throws "Runtime Exception", which lead ANT be unexpectedly Terminated.

There are two simple solutions.

  1. use CMD rather than Eclipse (ANT Plugin) to run ANT. Download independent ant, deploy it in your local environment, finish path configuration and then run it through command line mode. Now you can see what error/warning message happened.
  2. Add parameters when you run ANT in Eclipse.  I forget the specific name of parameter. I remember that it redirects all error and warning message to normal system.out. Now you can also see the error message, though not in RED format.