A powerful ORM tool to design data base access layer.
Fills gaps of mismatches between OOPs and RDBMS paradigm. Also maintains adequate ultra performance of database access.
An automated, configurable persistence of java objects with tables in data base.
May not be a good solution for data-centric application which uses only stored procedures to implement business logic in the database.
Hibernate framework simplifies the development of java application to interact with the database. Hibernate is an open source, lightweight, ORM (Object Relational Mapping) tool.
An ORM tool simplifies the data creation, data manipulation and data access. It is a programming technique that maps the object to the data stored in the database.
Hibernate framework simplifies the development of java application to interact with the database. Hibernate is an open source, lightweight, ORM (Object Relational Mapping) tool.
An ORM tool simplifies the data creation, data manipulation and data access. It is a programming technique that maps the object to the data stored in the database.
TUTORIAL-INTRODUCTION TO SPRING FOR BEGINNERS
EXPLANATION TO-Java Framework,Advantages of using SPRING,Difference between Hibernate and Spring.Spring architecture,Spring IoC Containters,Bean scope & Method Injection,Spring Inheritance.
Hibernate 3: Hibernate-What it is ?, ORM and Issues, Hibernate Hello World CRUD, Hello world with Servlet, Hibernate Object life cycle, Hibernate Architecture, Object as Component mapping, Hibernate Inheritance, Hibernate Unidirectional Mapping, Hibernate Bidirectional mapping, HQL, Native SQL queries, Named Quarries
Introduction to JPA and Hibernate including examplesecosio GmbH
In this talk, held as part of the Web Engineering lecture series at Vienna University of Technology, we introduce the main concepts of Java Persistence API (JPA) and Hibernate.
The first part of the presentation introduces the main principles of JDBC and outlines the major drawbacks of JDBC-based implementations. We then further outline the fundamental principles behind the concept of object relation mapping (ORM) and finally introduce JPA and Hibernate.
The lecture is accompanied by practical examples, which are available on GitHub.
Hibernate, created by Gavin King, known as the best and dominated object/relational persistence (ORM) tool for Java developers (Now is support .NET). It provides many elegant and innovative ways to simplifies the relational database handling task in Java.
Hibernate is great at a lot of things, but its something that needs to be used appropriately. In this tutorials, it providing many step by step examples and explanations on using Hibernate3
A hibernate tutorial for beginners. It describe the hibernate concepts in a lucid manner and and test project(User application with database) to get hands on over the same.
Java Hibernate Programming with Architecture Diagram and Examplekamal kotecha
Java Hibernate Introduction, Architecture and Example with step by step guidance to run the program especially for students and teachers.
Learn More @ http://java2all.com/technology/hibernate
TUTORIAL-INTRODUCTION TO SPRING FOR BEGINNERS
EXPLANATION TO-Java Framework,Advantages of using SPRING,Difference between Hibernate and Spring.Spring architecture,Spring IoC Containters,Bean scope & Method Injection,Spring Inheritance.
Hibernate 3: Hibernate-What it is ?, ORM and Issues, Hibernate Hello World CRUD, Hello world with Servlet, Hibernate Object life cycle, Hibernate Architecture, Object as Component mapping, Hibernate Inheritance, Hibernate Unidirectional Mapping, Hibernate Bidirectional mapping, HQL, Native SQL queries, Named Quarries
Introduction to JPA and Hibernate including examplesecosio GmbH
In this talk, held as part of the Web Engineering lecture series at Vienna University of Technology, we introduce the main concepts of Java Persistence API (JPA) and Hibernate.
The first part of the presentation introduces the main principles of JDBC and outlines the major drawbacks of JDBC-based implementations. We then further outline the fundamental principles behind the concept of object relation mapping (ORM) and finally introduce JPA and Hibernate.
The lecture is accompanied by practical examples, which are available on GitHub.
Hibernate, created by Gavin King, known as the best and dominated object/relational persistence (ORM) tool for Java developers (Now is support .NET). It provides many elegant and innovative ways to simplifies the relational database handling task in Java.
Hibernate is great at a lot of things, but its something that needs to be used appropriately. In this tutorials, it providing many step by step examples and explanations on using Hibernate3
A hibernate tutorial for beginners. It describe the hibernate concepts in a lucid manner and and test project(User application with database) to get hands on over the same.
Java Hibernate Programming with Architecture Diagram and Examplekamal kotecha
Java Hibernate Introduction, Architecture and Example with step by step guidance to run the program especially for students and teachers.
Learn More @ http://java2all.com/technology/hibernate
Apache Hive is a rapidly evolving project which continues to enjoy great adoption in the big data ecosystem. As Hive continues to grow its support for analytics, reporting, and interactive query, the community is hard at work in improving it along with many different dimensions and use cases. This talk will provide an overview of the latest and greatest features and optimizations which have landed in the project over the last year. Materialized views, the extension of ACID semantics to non-ORC data, and workload management are some noteworthy new features.
We will discuss optimizations which provide major performance gains as well as integration with other big data technologies such as Apache Spark, Druid, and Kafka. The talk will also provide a glimpse of what is expected to come in the near future.
Kerberizing Spark: Spark Summit East talk by Abel Rincon and Jorge Lopez-MallaSpark Summit
Spark had been elected, deservedly, as the main massive parallel processing framework, and HDFS is the one of the most popular Big Data storage technologies. Therefore its combination is one of the most usual Big Data’s use cases. But, what happens with the security? Can these two technologies coexist in a secure environment? Furthermore, with the proliferation of BI technologies adapted to Big Data environments, that demands that several users interacts with the same cluster concurrently, can we continue to ensure that our Big Data environments are still secure? In this lecture, Abel and Jorge will explain which adaptations of Spark´s core they had to perform in order to guarantee the security of multiple concurrent users using a single Spark cluster, which can use any of its cluster managers, without degrading the outstanding Spark’s performance.
Tuning and optimizing webcenter spaces application white paperVinay Kumar
This white paper focuses on Oracle WebCenter Spaces performance problem and analysis after post production deployment. We will tune JVM ( JRocket). Webcenter Portal, Webcenter content and ADF task flow.
High concurrency, Low latency analytics using Spark/KuduChris George
With the right combination of open source projects, you can have a high concurrency and low latency spark jobs for doing data analysis. We'll show both REST and JDBC access to access data from a persistent spark context and then show how the combination of Spark Job Server, Spark Thrift Server and Apache Kudu can create a scalable backend for low latency analytics.
ADF Gold Nuggets (Oracle Open World 2011)Lucas Jellema
Gold Nuggets in ADF Faces
ADF Faces is a superior User Interface technology. Just look at Fusion Applications to confirm that statement. Or look at one of the hundreds of ADF applications deployed around the world. ACE Directors Chris Muir and Lucas Jellema draw from the experiences on many of these application to demonstrate a number of the most useful, productive, surprising, even amusing and sometimes quite obscure features in ADF Faces. To offer more insight in the richness of the ADF framework in general and also provide very concrete examples that will immediately help you add advanced functionality or benefit from increased productivity. Topics include task flows, push, desktop integration, event handling, reuse, change persistence, UI Shell and more.
value: - learn about tricks and useful features in ADF Faces that will enable attendees to enhance their ADF applications (in term of visual richness and functionality) and to increase their productivity and improve their development process - get inspired about ADF (Faces)
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Advanced Flow Concepts Every Developer Should KnowPeter Caitens
Tim Combridge from Sensible Giraffe and Salesforce Ben presents some important tips that all developers should know when dealing with Flows in Salesforce.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Hibernate clients:
Hibernate is intended to be used in just about any architectural scenario imaginable (as long as the application is written in Java). It might run inside a servlet engine—where you could use it with web application framework like Struts, Web-Work or Tapestry—or inside an EJB container, a Swing client, a lightweight container, or even a JMX server like JBoss. Each of these environments requires infrastructure to integrate Hibernate with the way requests, transactions, and database resources are managed. The Hibernate core provides optional components for certain common integration scenarios, including integration with JTA, JNDI-bound data-sources, JMX, JCA, and the transaction managers of all popular application servers. In addition, some frameworks like Spring and Keel ship with built-in Hibernate support, and plugin support is available for others including Tapestry, Apache Avalon, and PicoContainer. JBoss Application Server features special support for Hibernate archive deployment and integration of Hibernate as a JMX-managed component.
Paradigm mismatch
Problem of granularity: The SQL standard supports user defined data types but very poorly. The feature is not portable across different databases. Because of this reason, the UDT is not a common practice in the industry. At OOPs side, designers may design coarse grained entity class for employee having fields for address or fine grained entity class with separate class to represent Address like UDT. While at DB side, there may be single column of varchar type to hold all components of address. It turns out to be granularity problem where granularity at both sides is mismatching.
The subtype problem: The OOPs paradigm has important feature of Inheritance where entities may be represented as super class and sub classes. There is no concept of inheritance in DB. The DB data may have inheritance data within single table or across more than one table.
Problem of identity: The OOPs paradigm identifies two objects for equality on the basis of reference. The equality operator (==) and equivalence method equals() both may check equality on the basis of reference or natural/auxiliary comparison which may be different than equality policy a DB is implementing. DB implements equality policy on the basis of Primary key or surrogate key. The primary key or surrogate key may be system generated and used by DB for its internal purpose while this key may not be used by OOPs paradigm to identify objects.
Problems relating to Association: The OOPs paradigm uses reference to associate two entities. It represents navigation as unidirectional or bidirectional. While at DB side, association between two entities is represented through foreign key. There is no notion of navigation in DB. Also, association in OOPs represents Many-Many relationship if entities at both side have collections to represent multiple references of each other. DB does not represent Many-Many relationship naturally. An additional mapping table is necessary to represent such types of relationships.
The n+1 select problem: If entity user is associated with multiple entities of BillingDetails. Then in object design, while visiting every object in java, separate SQL is fired to populate the object. One SQL for user and N number of SQL for N records of BillingDetails. It is called as n + 1 select problem.
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(Source code: pack80_inherit.tbl01ForConcreteClass)
Table per concrete class:
There will be one table for each (non-abstract) class. All properties of a class, including inherited properties, could be mapped to columns of this table.
The main problem with this approach is that it doesn’t support polymorphic associations very well. Can not obtain object of super class thus this case can not work with polymorphic queries.
The super class fields are being repeated as columns in all subclass. Change in any super-class field size/type or constraint lead to manual change in all table structures.
This strategy is recommended only if polymorphic accessing is not expected.
(Source code: pack80_inherit.tbl02WithDiscriminator)
One Table with discriminator:
Mapping entire class hierarchy in to one table.
This table includes all properties from all classes including super class and all its subclasses.
The element <subclass> indicates table per class hierarchy mapping.
The discriminator column identifies records of specific subclass.
Gives performance and simplicity against loss of some valuable space on DB.
It also gives good polymorphism at OOPs side.
The ad-hoc reporting is possible without complex joins and sub-queries.
When to use: If polymorphic association or polymorphic queries. Subclass having relatively few properties.
Only one problem: The columns belonging to subclass must be declared 'nullable'.
And thus subclass columns can not implement non-nullable constraint.
(Source code: pack80_inherit. tbl03WithPartjoin)
Table with part join:
Creating one table for super and that/those subclasses with less number of columns and separate table for class with many number of columns. The separate subclass table/s are joined with super class table through FK.
For BankAcc and SavingsAcc- table created is PJAccounts: The ACCNO has been declared as PK.
For CurrentAcc- table created is PJCurrent: The CACCNO has been declared as foreign key towards ACCNO of PJAccounts.
Hibernate creates complex query on joined table to handle situation. Thus this mapping strategy is difficult to implement by hand.
The <subclass> indicates table per class hierarchy mapping. But this strategy is partly mixed with join. The <join> element indicates the foreign key joining.
When to use: If polymorphic association or polymorphic queries.
Some subclasses having relatively less number of columns while some may have many number of columns.
For deep inheritance hierarchy, the performance may be un-compramising.
(Source code: pack80_inherit. tbl04WithSubclassJoins)
Table with sub class joins:
Creating tables per class. The subclass tables are joined with super class table through FK. No discriminator is needed in this strategy. The primary advantage of this strategy is the relational model is completely normalized. Schema evolution and integrity definitions are straight forward.
For BankAcc- table created is SCAccounts: The ACCNO has been declared as PK.
For SavingsAcc- table created is SCSavings: The SACCNO has been declared as foreign key towards ACCNO of SCAccounts.
For CurrentAcc- table created is SCCurrent: The CACCNO has been declared as foreign key towards ACCNO of SCAccounts.
The <joined-subclass> maps subclass to a new table. The key columns specified is a foreign key declared in subclass table towards super class table. The properties declared are mapped with columns of subclass table.
Hibernate creates complex query to handle situation. Thus this mapping strategy is difficult to implement by hand.
When to use: If polymorphic association or polymorphic queries. Subclass having many properties.
For deep inheritance hierarchy, the performance may be un-compromising.
The <joined-subclass> may contain another <joined-subclass> element but not <subclass>. Hibernate does not allow mixing of these two strategies.
Hibernate will use outer join when queried for BankAcc.
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Transactional Attributes
Required:- If the client is running within a transaction and invokes the enterprise bean’s method ,the method executes within the client’s transaction. If the client is not associated with a transaction, the container starts a new transaction before running the method.
RequiresNew:- If the client is running within a transaction, and invokes the enterprise bean’s method ,the container takes the following steps:
Suspends the clients transaction
Starts a new transaction.
Delegates the call to the method
Resumes the clients transaction after the method completes.
Transactional Attributes
Supports :- If the client is running within a transaction and invokes the enterprise bean’s method ,the method executes within the clients transaction. If the client is not associated with a transaction, the container does not start a new transaction before running the method.
NotSupported :- If the client is not associated with a transaction, the container does not start a new transaction before running the method.
Use the NotSupported attribute for methods that don’t need transactions. Because transactions involve overhead, this attribute may improve performance.
Transactional Attributes
Mandatory:- If the client is not associated with a transaction, the container throws the TransactionRequiredException. Use the Mandatory attribute if the enterprise bean’s method must use transaction of the client.
Never :- If the client is running within a transaction and invokes the enterprise bean’s method, the container throws a RemoteException. If the client is not associated with a transaction ,the container does not star a new transaction before running the method.