hazelcast

Hazelcast是一个高度可扩展的数据分发和集群平台，提供java.util.{Queue, Set, List, Map}分布式实现及其它特性。 可以作为 a.服务启动： 假设在两台可以通信的服务器A,B上部署hazelcast. 在A,B两台机器上启动hazelcast服务作为两个server节点, 当一台服务器down掉时，另一台机器继续提供服务，因为两个server节点含有相同的共享数据。 cd /a/b/c/hazelcast/bin nohup ./server.sh > server_node_1.log 2>&1 & nohup ./server.sh > server_node_2.log 2>&1 & server.sh脚本如下，在源码的bin目录下 #!/bin/sh java -server -Xms1G -Xmx1G -Djava.net.preferIPv4Stack=true -cp ../lib/hazelcast-2.1.2.jar com.hazelcast.examples.StartServer b.监控配置(hazelcast项目提供了监控系统使用情况的war包) 1.拷贝war包： 在\hazelcast-2.1.2目录下有一个mancenter.war包，直接将这个包拷贝到apache-tomcat-6.0.33\webapps目录下

I tried it in HZ 3.4 and 3.4.1 but with the same output I`m trying to import dummy data to my Hazelcast cluster, with following function HazelcastInstance cluster = HazelcastClient.newHazelcastClient(this.conf); Map<String, Customer> mapCustomers = cluster.getMap("customers"); System.out.println(mapCustomers.size()); System.out.println("hello world"); for (int customerID = 0; customerID < 2000; customerID++) { Customer p = new Customer(); mapCustomers.put(Integer.toString(customerID), p); System.out.println("inserted customer number " + Integer.toString(customerID)); } cluster.shutdown(); when

I am trying to use hazelcast server over multiple nodes. I have implemented the load all in the map store implementation. I am wondering whether this should only be enabled on on server node or all of them? If I deploy the same on all nodes, would this not create database read operations which should not be needed. If I need to deploy the load all only on one node, what is the best strategy (code/API call based or config) that would allow me to cleanly implement the scenario whereby only one server node implements the load all implementation for map store. I can always deploy different code on

We use Hazelcast 2.6.2 in a legacy Java clustered application. When the application is stopped the JVM does not terminate any more. It seems that it is caused by Hazelcast threads not being flagged daemon. I did not find a way way through the Hazelcast API to flag them daemon. Are there recommended solutions to prevent Hazelcast from preventing the JVM to terminate? Regards Looking at the Hazelcast Javadocs , I see that there is a shutdownAll(); method. To quote the javadocs: Shuts down all running Hazelcast Instances on this JVM, including the default one if it is running. It doesn't shutdown

I cannot find this in the docs or javadocs : do I need to create one client per thread or is a client created by: client = HazelcastClient.newHazelcastClient(cfg); thread safe? The client is thread-safe. Also when you get e.g. an IMap from it, it also is thread-safe. HazelcastInstance client = HazelcastClient.newHazelcastClient(cfg) IMap map = client.getMap("map"); So you can share this client instance with all your threads in the JVM. 来源： https://stackoverflow.com/questions/25567894/is-hazelcast-client-thread-safe

I am trying to implement distributed cache using Hazelcast in my application. I am using Hazelcast’s IMap . The problem I have is every time I get a value from a map and update the value, I need to do a put(key, value) again. If my value object has 10 properties and I have to update all 10, then I have to call put(key, value) 10 times. Something like - IMap<Integer, Employee> mapEmployees = hz.getMap("employees"); Employee emp1 = mapEmployees.get(100); emp1.setAge(30); mapEmployees.put(100, emp1); emp1.setSex(“F”); mapEmployees.put(100, emp1); emp1.setSalary(5000); mapEmployees.put(100, emp1);

Hazelcast locks (such as http://www.hazelcast.com/docs/1.9.4/manual/multi_html/ch02s07.html ) as I understand it behave the same way as the Java concurrency primitives but across the cluster. The makes it possible to use to synchronize between thread in the local process as well as over the cluster. However, is there any way I can opt out of this behaviour? In my current project, I need a way of coordinating unique ownership of a resource across the cluster but want to aquire and release this ownership from multiple points in my application - can I do this in some way that does not involve