These are handy tools for your Development Environment.
The Netbeans Connector extension for Chrome allows you to see changes you’ve made to HTML pages the moment you save the file without having to refresh your browser. See also http://wiki.netbeans.org/ChromeExtensionInstallation
With Maven installed you can run mvn package and mvn test from the command line. It can be downloaded from https://maven.apache.org
The Memory Analyzer Tool (MAT) from Eclipse can help you analyze heap dumps, showing you “leak suspects” such as seen at https://github.com/payara/Payara/issues/350#issuecomment-115262625
It can be downloaded from http://www.eclipse.org/mat
If the heap dump provided to you was created with gcore (such as with gcore -o /tmp/gf.core $glassfish_pid) rather than jmap, you will need to convert the file before you can open it in MAT. Using gf.core.13849 as example of the original 33 GB file, here is how you could convert it into a 26 GB gf.core.13849.hprof file. Please note that this operation took almost 90 minutes:
/usr/java7/bin/jmap -dump:format=b,file=gf.core.13849.hprof /usr/java7/bin/java gf.core.13849
A file of this size may not “just work” in MAT. When you attempt to open it you may see something like “An internal error occurred during: “Parsing heap dump from ‘/tmp/heapdumps/gf.core.13849.hprof’”. Java heap space”. If so, you will need to increase the memory allocated to MAT. On Mac OS X, this can be done by editing MemoryAnalyzer.app/Contents/MacOS/MemoryAnalyzer.ini and increasing the value “-Xmx1024m” until it’s high enough to open the file. See also http://wiki.eclipse.org/index.php/MemoryAnalyzer/FAQ#Out_of_Memory_Error_while_Running_the_Memory_Analyzer
PageKite is a fantastic service that can be used to share your local development environment over the Internet on a public IP address.
With PageKite running on your laptop, the world can access a URL such as http://pdurbin.pagekite.me to see what you see at http://localhost:8080
Sign up at https://pagekite.net and follow the installation instructions or simply download https://pagekite.net/pk/pagekite.py
The first time you run ./pagekite.py a file at ~/.pagekite.rc will be
created. You can edit this file to configure PageKite to serve up port 8080
(the default GlassFish HTTP port) or the port of your choosing.
According to https://pagekite.net/support/free-for-foss/ PageKite (very generously!) offers free accounts to developers writing software the meets http://opensource.org/docs/definition.php such as Dataverse.
Vagrant allows you to spin up a virtual machine running Dataverse on your development workstation. You’ll need to install Vagrant from https://www.vagrantup.com and VirtualBox from https://www.virtualbox.org.
We assume you have already cloned the repo from https://github.com/IQSS/dataverse as explained in the Development Environment section.
From the root of the git repo, run vagrant up and eventually you
should be able to reach an installation of Dataverse at
http://localhost:8888 (or whatever forwarded_port indicates in the
Vagrantfile).
Please note that running vagrant up for the first time should run the downloads/download.sh script for you to download required software such as Glassfish and Solr and any patches. However, these dependencies change over time so it’s a place to look if vagrant up was working but later fails.
MSV (Multi Schema Validator) can be used from the command line to validate an XML document against a schema. Download the latest version from https://java.net/downloads/msv/releases/ (msv.20090415.zip as of this writing), extract it, and run it like this:
$ java -jar /tmp/msv-20090415/msv.jar Version2-0.xsd ddi.xml
start parsing a grammar.
validating ddi.xml
the document is valid.