hazelcast

Apache Ignite(一):简介以及和Coherence、Gemfire、Redis等的比较

≯℡__Kan透↙ 提交于 2019-12-03 12:45:49
1.Ignite简介 Apache Ignite 内存数据组织框架是一个高性能、集成化和分布式的内存计算和事务平台,用于大规模的数据集处理,比传统的基于磁盘或闪存的技术具有更高的性能,同时他还为应用和不同的数据源之间提供高性能、分布式内存中数据组织管理的功能。 2.Ignite历史 Ignite来源于尼基塔·伊万诺夫于2007年创建的GridGain系统公司开发的GridGain软件,尼基塔领导公司开发了领先的分布式内存片内数据处理技术-领先的Java内存片内计算平台,今天在全世界每10秒它就会启动运行一次。他有超过20年的软件应用开发经验,创建了HPC和中间件平台,并在一些创业公司和知名企业都做出过贡献,包括Adaptec, Visa和BEA Systems。尼基塔也是使用Java技术作为服务器端开发应用的先驱者,1996年他在为欧洲大型系统做集成工作时他就进行了相关实践。 2014年3月,GridGain公司将该软件90%以上的功能和代码开源,仅在商业版中保留了高端企业级功能,如安全性,数据中心复制,先进的管理和监控等。2015年1月,GridGain通过Apache 2.0许可进入Apache的孵化器进行孵化,很快就于8月25日毕业并且成为Apache的顶级项目,9月28日即发布了1.4.0版,2016年1月初发布了1.5.0版,应该说发展、迭代速度非常快。该技术相关资料较少

Hazelcast cluster over AWS using Docker

匿名 (未验证) 提交于 2019-12-03 09:14:57
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: Hi am trying to configure hazelcast cluster over AWS. I am running hazelcast in docker container and using --net=host to use host network config. when i look at hazelcast logs, I see [172.17.0.1]:5701 [herald] [3.8] Established socket connection between /[node2]:5701 and /[node1]:47357 04:24:22.595 [hz._hzInstance_1_herald.IO.thread-out-0] DEBUG c.h.n.t.SocketWriterInitializerImpl - [172.17.0.1]:5701 [herald] [3.8] Initializing SocketWriter WriteHandler with Cluster Protocol 04:24:22.595 [hz._hzInstance_1_herald.IO.thread-in-0] WARN c.h.nio

Unable to register MBean [HikariDataSource (HikariPool-0)] with key 'dataSource'

生来就可爱ヽ(ⅴ<●) 提交于 2019-12-03 06:44:13
问题 I am getting below error in prod mode for (Java8+Oauth2+MySql+Hazelcast+no clustered http sessions) combination. Dev mode has worked fine. Unable to register MBean [HikariDataSource (HikariPool-0)] with key 'dataSou rce'; nested exception is javax.management.InstanceAlreadyExistsException: com.z axxer.hikari:name=dataSource,type=HikariDataSource In the log, first part of the datasource (hazelcast) creation says [dev] mode. Not sure this is deliberate. Kindly help me in resolving the issue.

Confluence 6 其他 MBeans 和高 CPU 消耗线程

偶尔善良 提交于 2019-12-03 04:44:35
其他 MBeans 希望监控 Hibernate 和 Hazelcast(仅针对 Confluence 数据中心)你需要在你的 setenv.sh / setenv.bat 文件中添加下面的内容。 set CATALINA_OPTS= -Dconfluence.hazelcast.jmx.enable= true %CATALINA_OPTS% set CATALINA_OPTS= -Dconfluence.hibernate.jmx.enable= true %CATALINA_OPTS% 这个修改将会让 Hibernate 和 Hazelcast 的 MBeans 在你的 JMX 客户端中可查看。 监控高 CPU 消耗线程 JConsole Top Threads Plugin 插件能够帮你监控当前那个线程消耗了最多的 CPU 时间,你可以在启动的时候添加下面的启动参数来启动这个插件: JConsole -pluginpath /pathto/ topthreads.jar https://www.cwiki.us/display/CONF6ZH/Live+Monitoring+Using+the+JMX+Interface 来源: oschina 链接: https://my.oschina.net/u/2344080/blog/1841079

redis vs hazelcast [closed]

人盡茶涼 提交于 2019-12-03 04:10:08
问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 3 years ago . Redis Vs Hazelcast If my app: Have a lot of http requests (6,000 per minute, I collect clicks info) that needs to be saved Have a lot of http requests that query the data previously saved. My Questions are - Which one between Redis and Hazelcast should I chose to store and query

Hazelcast Jet Query

匿名 (未验证) 提交于 2019-12-03 02:38:01
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: I have following query regarding Hazelcast Jet The use-case as follows There is one application (Application 'A', deployed in cluster) uses Hazelcast IMDG and puts millions of records / transactions in hazelcast IMap. The Event Journal has been configured for this IMap. There is another application (Application B, deployed in cluster) instantiates JetInstance and runs the job individually on each node to process the records. Currently, this job reads data from event journal and adds into IList (Reference - hazelcast-jet-0.5.1\code

Hazelcast - OperationTimeoutException

匿名 (未验证) 提交于 2019-12-03 00:59:01
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I am using Hazelcast version 3.3.1. I have a 9 node cluster running on aws using c3.2xlarge servers. I am using a distributed executor service and a distributed map. Distributed executor service uses a single thread. Distributed map is configured with no replication and no near-cache and stores about 1 million objects of size 1-2kb using Kryo serializer. My use case goes as follow: All 9 nodes constantly execute a synchronous remote operation on the distributed executor service and generate about 20k hits per second (about ~2k per node).

Configuring a two node hazelcast cluster - avoiding multicast

 ̄綄美尐妖づ 提交于 2019-12-03 00:23:59
The context Two nodes of a Hazelcast cluster, each on a discrete subnet so multicast is not suitable nor working for node location. I should like to employ the most minimal XML configuration file, say hazelcast.xml , to configure Hazelcast to use TCP/IP to connect the two nodes. Ideally a directory of the IP addresses of the two nodes. The question The Hazelcast docs do a good job of showing how this can be achieved programatically , and how hazelcast.jar/hazelcast-default.xml holds the (considerable) default configuration. What is unclear is: is any XML configuration I supply overlaid upon

Unable to register MBean [HikariDataSource (HikariPool-0)] with key 'dataSource'

筅森魡賤 提交于 2019-12-02 20:25:19
I am getting below error in prod mode for (Java8+Oauth2+MySql+Hazelcast+no clustered http sessions) combination. Dev mode has worked fine. Unable to register MBean [HikariDataSource (HikariPool-0)] with key 'dataSou rce'; nested exception is javax.management.InstanceAlreadyExistsException: com.z axxer.hikari:name=dataSource,type=HikariDataSource In the log, first part of the datasource (hazelcast) creation says [dev] mode. Not sure this is deliberate. Kindly help me in resolving the issue. log Dec 12, 2014 2:44:11 PM org.apache.catalina.startup.HostConfig deployWAR INFO: Deploying web

Clustering and Shared Data in Vert.x

只谈情不闲聊 提交于 2019-12-02 18:21:20
I'm developing in Vert.x (based on Netty and Hazelcast), and I'm trying to share data between two server instances (eache of those instances in different machines, on the same lan). My problem is that I don't know how to configure the vert.x servers to allow them to share their concurrent memory maps (the theory says that's possible). I've read many documents off Vert.x and Hazelcast but I haven't had results yet. (I don't know how to force vert.x to load hazelcast xml configuration files). Thanks in advance! There are options for sharing data among vertx instances on different machines Option