Red Hat JBoss Data Grid 7.0 is out

Dear Infinispan community,

Red Hat has just announced the general availability of Red Hat JBoss Data Grid 7.0, the commercially supported version of Infinispan.

Building on the solid foundation of Infinispan 8, JBoss Data Grid integrates with the rest of the Red Hat JBoss middleware platform to deliver top-notch long-term support, dedicated high-quality consulting and training services, and the best open-source expertise in the world.

If you want to give it a spin, go to the Red Hat JBoss Data Grid product page, where you will find download links for a free trial, documentation and more.

Bleeding edge on Docker

As you may have noticed our Docker images are published together with (or very soon after) releases. But what if you want to try out some brand features which have just been merged? In that case you need to build an image by yourself.

Step #1 - Clone JBoss Docker image repository

At first you will need to clone our Infinispan Docker images:

	git clone https://github.com/jboss-dockerfiles/infinispan.git
	cd infinispan

view raw Clone Infinispan Docker repository hosted with ❤ by GitHub

Step #2 - Build or download the latest SNAPSHOT

There are two options here - you can build the distribution yourself or use SNAPSHOTs available on JBoss Nexus repository.

The first option requires checking out the Infinispan source code and performing a Maven build:

	git clone https://github.com/infinispan/infinispan.git
	cd infinispan
	mvn clean install -DskipTests

view raw Building Infinispan hosted with ❤ by GitHub

The second one is much simpler (Infinispan SNAPSHOTs are pushed into the repository after each successful build:

wget -L "https://repository.jboss.org/nexus/service/local/artifact/maven/redirect?r=snapshots&g=org.infinispan.server&a=infinispan-server-build&v=9.0.0-SNAPSHOT&e=zip"

view raw Download the latest Infinispan 9 SNAPSHOT hosted with ❤ by GitHub

Step #3 - building Infinispan Docker image

One of the steps for building Infinispan Docker image is to download the distribution from Infinispan Download page. We need to slightly modify this step and use our manually downloaded packages.

Modify the Dockerfile as shown below:

	#Replace this line:
	RUN INFINISPAN_SHA=$(curl $DISTRIBUTION_URL.sha1); curl -o /tmp/server.zip $DISTRIBUTION_URL && sha1sum /tmp/server.zip | grep $INFINISPAN_SHA \
	&& unzip -q /tmp/server.zip -d $HOME && mv $HOME/infinispan-server-* $HOME/infinispan-server && rm /tmp/server.zip
	#With this:
	USER root
	ADD infinispan-server-9.0.0-SNAPSHOT /opt/jboss/infinispan-server
	#Since we are playing with development versions, we don't care about the permissions
	RUN chmod -R 777 /opt/jboss/infinispan-server
	RUN chmod +x /opt/jboss/infinispan-server/bin/*.sh
	USER jboss

view raw gistfile1.txt hosted with ❤ by GitHub

Now you are ready to invoke the Docker build:

docker build -t infinispan-server .

view raw Build Infinispan Docker image hosted with ❤ by GitHub

Conclusion

As you can see building a SNAPSHOT based docker image is very simple. From my own experience I can tell you that pushing it into Docker Hub is the fastest way to start playing with it in any PaaS environment (e.g. Openshift Online)

Happy building!

Infinispan 9.0.0.Alpha3 (and 8.2.3.Final)

Dear Infinispan users,

As we have lately been releasing Infinispan 8 and 9 releases in pairs, today's releases are no different. We have 9.0.0.Alpha3 and 8.2.3.Final ready for you!

A new micro release of our stable 8.2 branch fixes 16 issues. If you are using any other 8.x release, we recommend an upgrade to 8.2.3.Final as this release contains latest bugfixes, performance improvements, and Hibernate Search library update.

A brand new Alpha release from our development branch: 9.0.0.Alpha3 has more than 50 bug fixes, and many enhancements, among which we single out: improved distributed streams, documentation enhancements, admin console improvements, and various component upgrades.

Download it now, try it and tell us what you think on the infinispan forums or come and meet us on IRC: channel #infinispan on Freenode.

Remote Execution with C++ client

Version 8 of the Infinispan C++ Hotrod Client implements the Execute on Server (Exec) operation. This feature was introduced with Hotrod protocol v 2.1 and has been described for the Java client here.

The user can now store the javascript code on the server then invoke it when needed and let the server take care of the execution both locally on the near node or distibuited on the whole cluster.

The following annotated code is  an example of a C++ Exec that addresses the following use case: the user wants to get a string value and wants to count how many times it has been accessed from all the connected clients.

You can git the whole source following this link.

//Client setup

	#include "infinispan/hotrod/ConfigurationBuilder.h"
	#include "infinispan/hotrod/RemoteCacheManager.h"
	#include "infinispan/hotrod/RemoteCache.h"
	#include "infinispan/hotrod/Version.h"
	#include "infinispan/hotrod/JBasicMarshaller.h"
	using namespace infinispan::hotrod;
	int main(int argc, char** argv) {
	ConfigurationBuilder builder;
	builder.addServer().host("127.0.0.1").port(11222).protocolVersion(
	Configuration::PROTOCOL_VERSION_24);
	builder.balancingStrategyProducer(nullptr);
	RemoteCacheManager cacheManager(builder.build(), false);
	try {
	// Create the cache with the given marshallers
	auto *km = new JBasicMarshaller<std::string>();
	auto *vm = new JBasicMarshaller<std::string>();
	RemoteCache<std::string, std::string> cache = cacheManager.getCache<
	std::string, std::string>(km, &Marshaller<std::string>::destroy,
	vm, &Marshaller<std::string>::destroy,
	std::string("namedCache"));
	cacheManager.start();

view raw gistfile1.txt hosted with ❤ by GitHub

//Cache setup and scripts installation

	RemoteCache<std::string, std::string> scriptCache =
	cacheManager.getCache<std::string, std::string>(
	"___script_cache", false);
	// Install on the server the getValue script
	std::string getValueScript(
	"// mode=local,language=javascript\n "
	"var cache = cacheManager.getCache(\"namedCache\");\n "
	"var ct = cache.get(\"accessCounter\");\n "
	"var c = ct==null ? 0 : parseInt(ct);\n "
	"cache.put(\"accessCounter\",(++c).toString());\n "
	"cache.get(\"privateValue\") ");
	std::string getValueScriptName("getValue.js");
	std::string pGetValueScriptName =
	JBasicMarshaller<std::string>::addPreamble(getValueScriptName);
	std::string pGetValueScript =
	JBasicMarshaller<std::string>::addPreamble(getValueScript);
	scriptCache.put(pGetValueScriptName, pGetValueScript);
	// Install on the server the get access counter script
	std::string getAccessScript(
	"// mode=local,language=javascript\n "
	"var cache = cacheManager.getCache(\"namedCache\");\n "
	"cache.get(\"accessCounter\")");
	std::string getAccessScriptName("getAccessCounter.js");
	std::string pGetAccessScriptName =
	JBasicMarshaller<std::string>::addPreamble(getAccessScriptName);
	std::string pGetAccessScript =
	JBasicMarshaller<std::string>::addPreamble(getAccessScript);
	scriptCache.put(pGetAccessScriptName, pGetAccessScript);

view raw remoteExec.cpp hosted with ❤ by GitHub

//Exec operation and output

	cache.put("privateValue", "Counted Access Value");
	std::map<std::string, std::string> s;
	std::vector<unsigned char> execValueResult = cache.execute(
	getValueScriptName, s);
	std::vector<unsigned char> execAccessResult = cache.execute(
	getAccessScriptName, s);
	std::string value(
	JBasicMarshallerHelper::unmarshall<std::string>(
	(char*) execValueResult.data()));
	std::string access(
	JBasicMarshallerHelper::unmarshall<std::string>(
	(char*) execAccessResult.data()));
	std::cout << "Returned value is '" << value
	<< "' and has been accessed: " << access << " times."
	<< std::endl;
	} catch (const Exception& e) {
	std::cout << "is: " << typeid(e).name() << '\n';
	std::cerr << "fail unexpected exception: " << e.what() << std::endl;
	return 1;
	}
	cacheManager.stop();
	return 0;
	}

view raw remoteExec.cpp hosted with ❤ by GitHub