Spring Data provides a consistent programming model for data access while retaining store-specific features. It supports common repositories and query languages across relational, document, and graph databases. Spring Data includes sophisticated mapping support, template classes, query methods in repository interfaces, and integration of Querydsl for complex queries. It allows for cross-store persistence while also enabling specialized features like geospatial queries for MongoDB.
Java and Spring Data JPA: Easy SQL Data Access
Abstract
Presenter: Miya W. Longwe, MBA, MSE, Tech Lead, Staples, Inc, Framingham MA 01702
Accessing data repositories in various applications programming languages typically involves writing of tedious boilerplate lines of code. Some application development frameworks such as Spring have tried to make the experience more succinct by providing abstraction layers such as HibernateTemplate and JdbcTemplate, etc. Despite these APIs, the developers still spend a lot time writing repetitive code than concentrating on implementing business requirements. Developers at Spring, led by Oliver Gierke, introduced Spring Data JPA which “aims to significantly improve the implementation of data access layers by reducing the effort to the amount that's actually needed. As a developer you write your repository interfaces, including custom finder methods, and Spring will provide the implementation automatically”.
Spring Data JPA provides a powerful, out-of-the-box alternative to creating your own DAO framework. You declare custom repository operations on an interface, and the framework generates dynamic implementations (not code generation) automatically, based on conventions around method names. As part of the presentation, we'll also review a demo to look at Spring Java configuration (as opposed to XML configuration), and investigate the @Profile annotation – configuration details which may make life a bit easier in various ways when setting up unit testing of our repository classes, using out-of-the-box alternative to creating DAO framework, how to create custom repositories, pagination and support for custom queries among other features.
Presenter's Bio
Miya W. Longwe is a Senior Software Engineer and Tech Lead at Staples, Inc. where he is currently working on an initiative to re-platform the company’s ecommerce architecture to offer platform-driven, modular products that can be quickly customized, enhanced, and branded as needed.
Miya has been a software professional since 1997. His 16 years software development career includes working for large companies to small startups, building solutions for enterprises and consumers, working with a broad range of technologies.
Miya Longwe is a hands-on java developer. He believes that in order to be a relevant and effective software developer one needs to remain a deeply knowledgeable, up-to-date, and productive software developer. His research interests include model-driven engineering, domain specific languages, test driven development and project risk management.
Miya graduated from the University of Malawi (Lilongwe, Malawi) and has an MBA from the University of Wales Cardiff Business School (Wales, UK) and a Masters in Software Engineering from Brandeis University (MA, USA).
Occasionally, Miya can be spotted fishing the banks of the south shore (MA) with his two boys, William and Daniel.
Paintfree Object-Document Mapping for MongoDB by Philipp KrennJavaDayUA
This talk is based on heated discussions about the syntax of asserts. Do you like the good old `assertNotEquals(id, c.getId())` or do you prefer something fancier like `assertThat(id, is(not(equalTo(c.getId()))))`? We will take a quick look at the differences between asserts in JUnit, TestNG, Hamcrest, fest, AssertJ, and Spock. This topic is at least as important as Vim vs Emacs and tabs vs spaces!
Java and Spring Data JPA: Easy SQL Data Access
Abstract
Presenter: Miya W. Longwe, MBA, MSE, Tech Lead, Staples, Inc, Framingham MA 01702
Accessing data repositories in various applications programming languages typically involves writing of tedious boilerplate lines of code. Some application development frameworks such as Spring have tried to make the experience more succinct by providing abstraction layers such as HibernateTemplate and JdbcTemplate, etc. Despite these APIs, the developers still spend a lot time writing repetitive code than concentrating on implementing business requirements. Developers at Spring, led by Oliver Gierke, introduced Spring Data JPA which “aims to significantly improve the implementation of data access layers by reducing the effort to the amount that's actually needed. As a developer you write your repository interfaces, including custom finder methods, and Spring will provide the implementation automatically”.
Spring Data JPA provides a powerful, out-of-the-box alternative to creating your own DAO framework. You declare custom repository operations on an interface, and the framework generates dynamic implementations (not code generation) automatically, based on conventions around method names. As part of the presentation, we'll also review a demo to look at Spring Java configuration (as opposed to XML configuration), and investigate the @Profile annotation – configuration details which may make life a bit easier in various ways when setting up unit testing of our repository classes, using out-of-the-box alternative to creating DAO framework, how to create custom repositories, pagination and support for custom queries among other features.
Presenter's Bio
Miya W. Longwe is a Senior Software Engineer and Tech Lead at Staples, Inc. where he is currently working on an initiative to re-platform the company’s ecommerce architecture to offer platform-driven, modular products that can be quickly customized, enhanced, and branded as needed.
Miya has been a software professional since 1997. His 16 years software development career includes working for large companies to small startups, building solutions for enterprises and consumers, working with a broad range of technologies.
Miya Longwe is a hands-on java developer. He believes that in order to be a relevant and effective software developer one needs to remain a deeply knowledgeable, up-to-date, and productive software developer. His research interests include model-driven engineering, domain specific languages, test driven development and project risk management.
Miya graduated from the University of Malawi (Lilongwe, Malawi) and has an MBA from the University of Wales Cardiff Business School (Wales, UK) and a Masters in Software Engineering from Brandeis University (MA, USA).
Occasionally, Miya can be spotted fishing the banks of the south shore (MA) with his two boys, William and Daniel.
Paintfree Object-Document Mapping for MongoDB by Philipp KrennJavaDayUA
This talk is based on heated discussions about the syntax of asserts. Do you like the good old `assertNotEquals(id, c.getId())` or do you prefer something fancier like `assertThat(id, is(not(equalTo(c.getId()))))`? We will take a quick look at the differences between asserts in JUnit, TestNG, Hamcrest, fest, AssertJ, and Spock. This topic is at least as important as Vim vs Emacs and tabs vs spaces!
Spring Data is a high level SpringSource project whose purpose is to unify and ease the access to different kinds of persistence stores, both relational database systems and NoSQL data stores.
자프링(자바 + 스프링) 외길 12년차 서버 개발자가 코프링(코틀린 + 스프링)을 만난 후 코틀린의 특징과 스프링의 코틀린 지원을 알아가며 코프링 월드에서 살아남은 이야기…
코드 저장소: https://github.com/arawn/kotlin-support-in-spring
As your data grows, the need to establish proper indexes becomes critical to performance. MongoDB supports a wide range of indexing options to enable fast querying of your data, but what are the right strategies for your application?
In this talk we’ll cover how indexing works, the various indexing options, and use cases where each can be useful. We'll dive into common pitfalls using real-world examples to ensure that you're ready for scale.
Implementing CQRS and Event Sourcing with RavenDBOren Eini
CQRS stands for Command Query Responsibility Segregation. That is, that command stack and query stack are designed separately. This leads to a dramatic simplification of design and potential enhancement of scalability.
Events are a new trend in software industry. In real-world, we perform actions and these actions generate a reaction. Event Sourcing is about persisting events and rebuilding the state of the aggregates from recorded events.
In this talk I will share a lot of examples about how to effective implementing CQRS and Event Sourcing with RavenDB
Building Performance - ein Frontend-Build-Prozess für Java mit MavenOliver Ochs
Jan Weinschenker und Oliver Ochs (Holisticon AG)
In diesem Vortrag geht es um eine konkrete Website. Im ersten Teil des Vortrags stellen wir die wichtigsten Optimierungsmaßnahmen vor, die außerhalb eines Builds durchgeführt wurden. Für eine dauerhafte, nachhaltige Performance-Optimierung müssen die Maßnahmen automatisiert bzw. in den Build-Prozess integriert werden. Im zweiten Teil des Vortrags zeigen wir einen beispielhaften Build-Prozess für Java-Webanwendungen, der Teile der Optimierungsmaßnahmen durchführt. Andere Teile müssen durch eine geeignete Architektur sichergestellt werden, wofür wir ebenfalls Ideen liefern.
Spring Data is a high level SpringSource project whose purpose is to unify and ease the access to different kinds of persistence stores, both relational database systems and NoSQL data stores.
자프링(자바 + 스프링) 외길 12년차 서버 개발자가 코프링(코틀린 + 스프링)을 만난 후 코틀린의 특징과 스프링의 코틀린 지원을 알아가며 코프링 월드에서 살아남은 이야기…
코드 저장소: https://github.com/arawn/kotlin-support-in-spring
As your data grows, the need to establish proper indexes becomes critical to performance. MongoDB supports a wide range of indexing options to enable fast querying of your data, but what are the right strategies for your application?
In this talk we’ll cover how indexing works, the various indexing options, and use cases where each can be useful. We'll dive into common pitfalls using real-world examples to ensure that you're ready for scale.
Implementing CQRS and Event Sourcing with RavenDBOren Eini
CQRS stands for Command Query Responsibility Segregation. That is, that command stack and query stack are designed separately. This leads to a dramatic simplification of design and potential enhancement of scalability.
Events are a new trend in software industry. In real-world, we perform actions and these actions generate a reaction. Event Sourcing is about persisting events and rebuilding the state of the aggregates from recorded events.
In this talk I will share a lot of examples about how to effective implementing CQRS and Event Sourcing with RavenDB
Building Performance - ein Frontend-Build-Prozess für Java mit MavenOliver Ochs
Jan Weinschenker und Oliver Ochs (Holisticon AG)
In diesem Vortrag geht es um eine konkrete Website. Im ersten Teil des Vortrags stellen wir die wichtigsten Optimierungsmaßnahmen vor, die außerhalb eines Builds durchgeführt wurden. Für eine dauerhafte, nachhaltige Performance-Optimierung müssen die Maßnahmen automatisiert bzw. in den Build-Prozess integriert werden. Im zweiten Teil des Vortrags zeigen wir einen beispielhaften Build-Prozess für Java-Webanwendungen, der Teile der Optimierungsmaßnahmen durchführt. Andere Teile müssen durch eine geeignete Architektur sichergestellt werden, wofür wir ebenfalls Ideen liefern.
Technical deep dive covering Spring Roo 1.0.0, which is a Java-based rapid application development framework. This presentation represents an updated version of the session I delivered at SpringOne USA in October 2009.
Slides to the Hands On Spring Data lab, presented in Paris on Dec 10th, 2012. Code exercises are here: https://github.com/ericbottard/hands-on-spring-data
Webinar: Simplifying Persistence for Java and MongoDBMongoDB
Jeff Yemin will host a webinar covering the design and major features of Morphia, an Object Document Mapper (ODM) for Java and MongoDB. This webinar will start with a short introduction to MongoDB and the various options for building MongoDB applications on the JVM before taking a deep dive into Morphia. Morphia will be presented as an extended example format that demonstrates, for each feature, the domain model, a test driver, and the results as they appear in MongoDB.
Webinar: Building Your First App with MongoDB and JavaMongoDB
This webinar will walk you through building a simple Java-based application in MongoDB. We’ll cover the basics of MongoDB’s document model, query language, aggregation framework, and deployment architecture.
In this webinar, you will discover:
- How easy it is to start building Java applications with MongoDB
- Key features for manipulating and accessing data
- High availability and scale-out architecture
- WriteConcerns and ReadPreference
Alternatives of JPA
Requery provide simple Object Mapping & Generate SQL to execute without reflection and session, so fast than JPA, simple and easy to learn.
Building a friendly .NET SDK to connect to SpaceMaarten Balliauw
Space is a team tool that integrates chats, meetings, git hosting, automation, and more. It has an HTTP API to integrate third party apps and workflows, but it's massive! And slightly opinionated.
In this session, we will see how we built the .NET SDK for Space, and how we make that massive API more digestible. We will see how we used code generation, and incrementally made the API feel more like a real .NET SDK.
Http4s, Doobie and Circe: The Functional Web StackGaryCoady
Http4s, Doobie and Circe together form a nice platform for building web services. This presentations provides an introduction to using them to build your own service.
MongoDB + Java - Everything you need to know Norberto Leite
Learn everything you need to know to get started building a MongoDB-based app in Java. We'll explore the relationship between MongoDB and various languages on the Java Virtual Machine such as Java, Scala, and Clojure. From there, we'll examine the popular frameworks and integration points between MongoDB and the JVM including Spring Data and object-document mappers like Morphia.
Learn everything you need to know to get started building a MongoDB-based app in Java. We'll explore the relationship between MongoDB and various languages on the Java Virtual Machine such as Java, Scala, and Clojure. From there, we'll examine the popular frameworks and integration points between MongoDB and the JVM including Spring Data and object-document mappers like Morphia.
What do you mean, Backwards Compatibility?Trisha Gee
Lessons learnt developing the new Java driver for MongoDB. This is a totally different version of my backwards compatibility talk, delivered at JFokus.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
27. "
This document is the specification of the
Java API for the management of
persistence and object/relational mapping
with Java EE and Java SE. The technical
objective of this work is to provide an
object/relational mapping facility for the
Java application developer using a Java
domain model to man- age a relational
database.
28. "
This document is the specification of the
Java API for the management of
persistence and object/relational mapping
with Java EE and Java SE. The technical
objective of this work is to provide an
object/relational mapping facility for the
Java application developer using a Java
domain model to man- age a relational
database.
47. Repositories - JPA
<jpa:repositories base-package="com.acme.repositories" />
public interface PersonRepository extends Repository<Person, BigInteger>
{
// Finder for a single entity
Person findByEmailAddress(String emailAddress);
// Finder for multiple entities
List<Person> findByLastnameLike(String lastname);
// Finder with pagination
Page<Person> findByFirstnameLike(String firstname, Pageable page);
}
47
48. Repositories - MongoDB
public interface PersonRepository extends Repository<Person, BigInteger>
{
// Finder for a single entity
Person findByEmailAddress(String emailAddress);
// Finder for multiple entities
List<Person> findByLastnameLike(String lastname);
// Finder with pagination
Page<Person> findByFirstnameLike(String firstname, Pageable page);
// Geospatial queries
List<Person> findByLocationNear(Point location, Distance distance);
GeoResults<Person> findByLocationNear(Point location);
}
48
49. Repositories - MongoDB
<mongo:repositories base-package="com.acme.repositories" />
@Component
public class MyClient {
@Autowired
private PersonRepository repository;
public List<Person> doSomething() {
Point point = new Point(43.7, 48.8);
Distance distance = new Distance(200, Metrics.KILOMETERS);
return repository.findByLocationNear(point, distance);
}
}
49
50. Repositories - Neo4J
interface PersonRepository extends GraphRepository<Person, Long>
// Finder for a single entity
Person findByEmailAddress(String emailAddress);
// Finder for multiple entities
List<Person> findByLastnameLike(String lastname);
// Finder with pagination
Page<Person> findByFirstnameLike(String firstname, Pageable page);
@Query("start person = Person(id = *) " +
"match person-[:colleagues]->colleague where " +
"colleague.firstname = {name}")
List<Person> getPersonsWithColleaguesName(
@Param("name") Movie m);
}
50