ignite

Apache Ignite - Pool size in Executor

柔情痞子 提交于 2019-12-04 06:23:55
问题 I am trying to use cluster based executor service. // Get cluster-enabled executor service. ExecutorService exec = ignite.executorService(); Is there anyway to set the number of threads in the executor service pool? Hope, Jobs will be executed in each node in a cluster in a round robin fashion. Thanks 回答1: Jobs submitter to distributed executor service are executed in a public thread pool. Its size can be configured via IgniteConfiguration.publicThreadPoolSize configuration property. Note

Apache.Ignite.Core.Impl.Unmanaged.UnmanagedCallbacks.CacheEntryFilterApply crash

淺唱寂寞╮ 提交于 2019-12-04 05:07:11
问题 I'm using Ignite.NET 2.7.6 and sometimes it crashes in Apache.Ignite.Core.Impl.Unmanaged.UnmanagedCallbacks.CacheEntryFilterApply(long memPtr) because var t == null and t.Invoke(stream) throws NullPointerException. What I'm doing wrong to trigger this issue? Added : stream.ReadLong() in mentioned method returns 0, so the expression _ignite.HandleRegistry.Get(stream.ReadLong()) gets filter holder with id == 0, that look like invalid id. Possible solution : I create scan query with a binary

Hazelcast vs. Ignite benchmark

不羁岁月 提交于 2019-12-03 23:47:26
I am using data grids as my primary "database". I noticed a drastic difference between Hazelcast and Ignite query performance. I optimized my data grid usage by the proper custom serialization and indexes, but the difference is still noticeable IMO. Since no one asked it here, I am going to answer my own question for all future references. This is not an abstract (learning) exercise, but a real-world benchmark, that models my data grid usage in large SaaS systems - primarily to display sorted and filtered paginated lists. I primarily wanted to know how much overhead my universal JDBC-ish data

Ignite issue when a node in the cluster becomes unstable unable to join the cluster and hangs indefinitely

我们两清 提交于 2019-12-03 20:50:57
HI I am facing a critical issue with Ignite in our production servers . We have 2 instances with heap sizes of 8gb each . Sometimes due to long gc pause or network issue one of our instances gets stopped . This causes aws auto-scaling to kick in and bring another instance up . This is fine but we have observed that in tis state the grid becomes unstable and our new ignite instaces are never able to join the topology and hang forever causing new autoscaled instances to come again and again .The workaround for this is to restart other instances in the cluster as doing so causes nodes to join

Apache Ignite(五):Ignite和Kafka集成-实现高可扩展和高可靠的数据处理

我与影子孤独终老i 提交于 2019-12-03 19:44:21
这两者都具有高可扩展性和高可靠性,本文将说明如何集成Apache Ignite和Apache Kafka消息系统,以获得一个健壮的数据处理管道。目前,这两者的集成有两个开箱即用的解决方案,一个是KafkaStreamer,一个是IgniteSinkConnector,其中IgniteSinkConnector是基于Apache Kafka最近发布的新特性- Kafka连接器 。 1.通过KafkaStreamer注入数据 从Ignite 1.3版本开始,通过他的KafkaStreamer,支持从Kafka中获取数据,然后将其注入Ignite用于基于内存的数据处理。KafkaStreamer是IgniteDataStreamer的一个实现,他会使用Kafka的消费者从Kafka代理中拉取数据,然后将数据高效地注入Ignite缓存。 要使用它,首先,需要将KafkaStreamer依赖加入pom.xml文件: <dependency> <groupId>org.apache.ignite</groupId> <artifactId>ignite-kafka</artifactId> <version>${ignite.version}</version> </dependency> 假设已经有一个缓存,键和值都是 String 类型,通过一个简单的方式就能实现数据的流化处理:

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

src/teamcity/teamcity_boost.cpp:22:47: fatal error: boost/test/unit_test_suite_impl.hpp: No such file or directory

匿名 (未验证) 提交于 2019-12-03 01:46:01
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 trying to install ignite odbc driver, I have installed ignite following these steps https://apacheignite.readme.io/docs/getting-started#installation # Unpack the source package $ unzip -q apache-ignite-{version}-src.zip $ cd apache-ignite-{version}-src # Build In-Memory Data Fabric release (without LGPL dependencies) $ mvn clean package -DskipTests # Build In-Memory Data Fabric release (with LGPL dependencies) $ mvn clean package -DskipTests -Prelease,lgpl # Build In-Memory Hadoop Accelerator release # (optionally specify version of

Apache Ignite : How to list all tables and all Caches

匿名 (未验证) 提交于 2019-12-03 01:39:01
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: Is there any way to list all tables present in a specific Cache and list all caches present on a Apache Ignite Server? ----------------------------------UPDATED-------------------------- Hi, I am running following code to know Cache name and list all tables present in my cache. This program list outs all cache name present on server. However table listing is printed as blank collection. Meanwhile SQL query present in example is working fine. public static void main(String[] args) throws Exception { System.out.println("Run Spring example!!");

Failed to retrieve Ignite pods IP addresses

匿名 (未验证) 提交于 2019-12-03 01:34:02
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 trying to run apache ignite cluster using Google Kubernetes Engine. After following the tutorial here are some yaml files. First I create a service - ignite-service.yaml apiVersion: v1 kind: Service metadata: # Name of Ignite Service used by Kubernetes IP finder. # The name must be equal to TcpDiscoveryKubernetesIpFinder.serviceName. name: ignite namespace: default spec: clusterIP: None # custom value. ports: - port: 9042 # custom value. selector: # Must be equal to one of the labels set in Ignite pods' # deployement configuration. app:

Apache Ignite ARM Unsafe GetFloat Segmentation Fault

匿名 (未验证) 提交于 2019-12-03 01:26:01
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 currently wondering if Apache Ignite could be used on an ARM device with Java 8u60 for ARM installed. I tried so on my "odroid u3". I installed ignite 1.3.0 incubator on the odroid together with the current oracle 8u60 JDK, took the example-config.xml, adapted my IPs and started ignite.sh. After a while I got the info about the Cluster info and ignite was waiting. Then I started the little demo "count the characters" on another computer. It took a while them I see my odroid had crashed with: [20:02:01] Ignite node started OK (id