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I can make Lambda Expressions distributed!

Fuad Malikovby Fuad Malikov — Sep 5, 2013
When I first learned about Lambda expressions, I felt an immediate desire for distributing them with Hazelcast Distributed Executor Service. The idea was to submit a lambda expression into Hazelcast Executor Service and let Hazelcast to execute it on a remote node. Here is how I want it to look like: HazelcastInstance h = Hazelcast.newHazelcastInstance(config); […]
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XML Variables

by Peter Veentjer — Aug 14, 2013
One of the new features in Hazelcast 3.0 are XML variables which provided a lot of flexibility for Hazelcast xml based configuration. Imagine that you have the following configuration: <hazelcast> <group> <name>group1</name> <password>password1</password> </group> </hazelcast> As you can see the group name and password are hard coded. Apart from being a potential security risk it […]
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User Context

by Peter Veentjer — Aug 2, 2013
One of the new features of Hazelcast 3 is the ability to pass user-context to a HazelcastInstance. This is very useful if you need to access dependencies, but only have a HazelcastInstance available. Imagine that you have some kind of EchoService on each member of your Hazelcast cluster: public class EchoService{ public void echo(String msg){ […]
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java-forum.org – Riding a dead horse – Or how fast you can kill a community

Christoph Engelbertby Christoph Engelbert — Aug 1, 2013

Today I want to coder a bit of a different topic so please read the following text and I appreciate ideas and opinions.

Not yet 60 hours ago a bad time for the german Java community started. A new owner took over the java-forum.org - the best reputated and

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Comparing Hazelcast 3 Serialization methods with Kryo Serialization and Jackson Smile

Fuad Malikovby Fuad Malikov — Jun 13, 2013
Importan note: This blog post have been updated to reflect recent changes in Hazelcast API.   Hazelcast relies heavily on serialization. It is designed to be a distributed cache and honestly it is not very suitable for a local cache.  Sometimes people compare it with other caching solutions and notice that Hazelcast is very slow. […]
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What’s new in Hazelcast 3?

Fuad Malikovby Fuad Malikov — Jun 3, 2013
Hazelcast 3 is the biggest change that we have introduced to Hazelcast ever.  As Hazelcast grew with more and more features, we often felt that the inner architecture is no longer good enough to support those additions. It was almost impossible to introduce some of new features that community really wanted. So a decision made […]
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Property Accessors

Christoph Engelbertby Christoph Engelbert — Jan 7, 2013

Here's a short update:

At the moment there's not much to tell but I'd found at lot of interest in properties support in Java and I'm glad to see people like the general idea.

The first discussion started mostly about how the syntax should look like and why defining a

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Property Accessors – a short introduction

Christoph Engelbertby Christoph Engelbert — Jan 5, 2013

As I stated yesterday I started the discussion about adding Property Accessors to Java. Today I want to show some more about my thoughts.

There are at least three questions?

  • What are Property Accessors?
  • Why Java needs them?
  • What could they look like?

What are Property Accessors?

So starting with

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Hazelcast Tip: Native Client versus Lite Member

by Enes Akar — Dec 26, 2012

There are two options to connect to Hazelcast cluster.

- Using native client
- Creating a lite member which is practically a node which does not store any data.
At first glance using lite member may seem more attractive as it knows all nodes and where any key-value pair is stored. But we see that in the long term native client is the more scalable and clean approach.
Here a table to summarize the difference between them:
       

.

     

.

     

.

     

.

  Native Client Lite Member

.

Performance There is an extra hop as client asks to a member where the data is. Better performance as it knows where data is.

.

Scalability More scalable as you can create any number of client without overhead to cluster operations. Not scalable, as each lite member becomes a node of the cluster that is an overhead for cluster operations.

.

Flexibility and Location Flexible, can be anywhere in LAN or WAN. It must be on the same data center even on the same RAC

.

Near Cache Currently not available Available

.

Distributed executor Can send tasks but cannot receive and execute Can send and receive taks
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Jenkins and the Git Branch Selection

Christoph Engelbertby Christoph Engelbert — Dec 22, 2012

How to make Jenkins aware of Git branches

This time I want to talk about something "totally" different. Something just from work.

At work we recently changed the revisionsystem to Git to meet our requirements in feature driven development using a lot of feature branches.

To fulfill our

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