erenavsarogullari/OTV_Spring_ThreadPool

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Created about 12 years ago
Updated about 12 years ago

erenavsarogullari/OTV_Spring_ThreadPool

erenavsarogullari

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This project shows how to develop and monitor Thread Pool Services by using Spring. Used Technologies : JDK 1.6.0_21, Spring 3.0.5 and Maven 3.0.2

OTV_JSF_Spring_Hibernate

This project shows how to integrate JSF2, PrimeFaces3, Spring3 and Hibernate4 Technologies. It provides a general project template for Java developers. Used Technologies : JDK 1.6.0_31, Spring 3.1.1, JSF 2.1, Hibernate 4.1.0, Primefaces 3.1.1, MySQL Connector 5.1.17, MySQL 5.5.8, c3p0 0.9.1.2, Tomcat 7.0 and Maven 3.0.2

OTV_Spring_Integration_Message_Processing

Spring Integration provides an extension of the Spring framework to support the well-known Enterprise Integration Patterns. It enables lightweight messaging within Spring-based applications and supports integration with external systems. One of the most important goals of Spring Integration is to provide a simple model for building maintainable and testable enterprise integration solutions.

OTV_Spring_Hazelcast_DistributedExecution

This project shows how to develop Distributed Executor Service via Hazelcast and Spring. Used Technologies : JDK 1.7.0_09, Spring 3.1.3, Hazelcast 2.4 and Maven 3.0.4

OTV_SpringBatch_Chunk_Oriented_Processing

This project shows how to develop Chunk Oriented Processing in Spring Batch. Used Technologies : JDK 1.7.0_09, Spring 3.1.3, Spring Batch 2.1.9, Hibernate 4.1.8, Tomcat JDBC 7.0.27, MySQL 5.5.8, MySQL Connector 5.1.17 and Maven 3.0.4

OTV_SpringBatch_TaskletStep

This project shows how to develop TaskletStep Oriented Processing Model in Spring Batch. Used Technologies : JDK 1.7.0_09, Spring 3.1.3, Spring Batch 2.1.9 and Maven 3.0.4

OTV_Spring_Integration_AMQP_Support

Spring Integration’ s AMQP backed point-to-point message channel approach is explained by creating two messaging nodes and a RabbitMQ cluster covering two RabbitMQ Servers. Two messaging nodes start to process Order messages by using the RabbitMQ cluster. If First Messaging Node and First RabbitMQ Server are shut down accidentally, Second Messaging Node and Second RabbitMQ Server will continue to process Order messages so potential message loosing and service interruption problems can be prevented by using high available AMQP backed channel.

OTV_Spring_Groovy

This project shows fundamental Spring Language Support for Groovy. Used Technologies : JDK 1.7.0_09, Spring 3.2.0, Groovy 2.0.4 and Maven 3.0.4

OTV_SpringProject

www.onlinetechvision.com - Spring Project

OTV_Quartz2_With_MultiTrigger

This project shows how to schedule Multi Triggered Quartz jobs. Using Technologies : JDK 1.6.0_21, Quartz 1.8.5 and Maven 3.0.2

OTV_Spring_Coherence_MapTrigger

This project shows how to process Coherence events by using Map Triggers. Used Technologies : JDK 1.6.0_35, Spring 3.1.2, Coherence 3.7.1 and Maven 3.0.2.

OTV_JSF_PrimeFaces

This article shows how to develop a JSF Hello World project by using PrimeFaces. Used Technologies : JDK 1.6.0_21, JSF 2.0.3, PrimeFaces 2.2.1, Apache Tomcat 6.0 and Maven 3.0.2

spark-hazelcast-connector

Spark-Hazelcast Connector: - Exposes Hazelcast Distributed Objects(DistributedMap, MultiMap, ReplicatedMap, DistributedList, DistributedSet and DistributedQueue) as Spark RDDs. - Writes RDDs back to Hazelcast by implicit writeEntryToHazelcast / writeItemToHazelcast / writeMessageToHazelcast call. - Writes Hazelcast Distributed Object Events to Spark as DStream and creates HazelcastEntryStream, HazelcastItemStream and HazelcastMessageStream. - Write Spark DStreams back to Hazelcast by implicit writeEntryToHazelcast / writeItemToHazelcast / writeMessageToHazelcast call.