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Dependency injection. It's a smart approach. Believe that? We do! Come on in and share what you know. Ask all your Spring questions here, too!
Members: 47
Latest Activity: Sep 21, 2019
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Notes from JCertif, in Brazzaville, Republic of Congo
Started by Michael Levin Aug 28, 2010.
Sample Application using JSF, Spring 2.5, and Java Persistence APIs 2 Replies
Started by Carol McDonald. Last reply by Christian Laboranowitsch May 28, 2009.
Getting started with SpringMVC easily
Started by Zemian Deng Aug 28, 2008.
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Comment by Federico Nicolàs Casabianca on July 14, 2009 at 11:57am
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hi guys i´m configuring the enviroment with spring and jpa (top link as provider) with tomcat. But i´ve got a problem. When i execute that sentence this.getJpaTemplate().persist(user); the follow exceptions is raised:
Object: com.blank.model.User@136055d is not a known entity type.
Please if anyone knows how i can solve that issue i will appreciate your help.
Thanks.
Best.
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Comment by sony john on June 2, 2009 at 11:37pm
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Thank You Neil ,
In my spring application iam using DAO to connect to database.
Iam able to get DAO object only in Validation class. Is it possible inject DAO object to Command class in Simple Form Controller.
Thanks in advance .
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Iam new to spring i would like to integrate spring with hibernate any one have any idea
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Comment by Jose Diaz Diaz on May 22, 2009 at 11:47am
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Hello Adit, in the page of jetbrains there are good demos. In SpringPeru.com are the slides and demos of the integration of flex with spring.
Regards
Joe
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Comment by Anirudh Vyas on May 22, 2009 at 11:06am
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Adit,
Google Spring Blaze DS.
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Comment by Adit Shetty on May 22, 2009 at 9:30am
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Hi iam new to spring . Does anyone have any idea on integration of Flex with Springs framework
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Hi
I got the following tutorials
http://maestric.com/en/doc/java/spring
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I wish Spring source offered "weekend" training sessions instead of "weekday" sessions or may be both?! ...
Just what stops me from taking something up.
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Comment by Dominic Da Silva on March 28, 2009 at 7:29pm
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So what did people think of the Spring Dynamic Modules presentation at OJUG.
I for one liked what OSGi has to offer for web app development. Seems to allow for more abstracted layer for partitioning your application. Also liked that Spring's annotations for configuration. I have been using Seam and JPA's annotations and loved it. I have heard lots of griping about annotations, but I myself enjoy using them...
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Comment by Jim Moore on August 27, 2008 at 10:13pm
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One of the easiest way to get started with Spring is to download the distribution, which includes sample apps. The reference docs are awesome, but if you want a more "gentle" intro, Spring In Action ed 2 is great.
Happy 10th year, JCertif!
Notes
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
Presentation: The Time is Now: Delight Your Developers with User-Centric Platforms & Practices
Ana Petkovska discusses creating platform teams, establishing the team API, engagement of early adopters, easing adoption and providing a high quality product.
By Ana PetkovskaDeepSeek Open-Sources DeepSeek-V3, a 671B Parameter Mixture of Experts LLM
DeepSeek open-sourced DeepSeek-V3, a Mixture-of-Experts (MoE) LLM containing 671B parameters. It was pre-trained on 14.8T tokens using 2.788M GPU hours and outperforms other open-source models on a range of LLM benchmarks, including MMLU, MMLU-Pro, and GPQA.
By Anthony AlfordArticle: A Framework for Building Micro Metrics for LLM System Evaluation
LLM accuracy is a challenging topic to address and is much more multi-dimensional than a simple accuracy score. Denys Linkov introduces a framework for creating micro metrics to evaluate LLM systems, focusing on goal-aligned metrics that improve performance and reliability. By adopting an iterative "crawl, walk, run" methodology, teams can incrementally develop observability.
By Denys LinkovGoogle Releases Experimental AI Reasoning Model
Google has introduced Gemini 2.0 Flash Thinking Experimental, an AI reasoning model available in its AI Studio platform.
By Daniel DominguezGoogle Vertex AI Provides RAG Engine for Large Language Model Grounding
Vertex AI RAG Engine is a managed orchestration service aimed to make it easier to connect large language models (LLMs) to external data sources to be more up-to-date, generate more relevant responses, and hallucinate less.
By Sergio De Simone
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