Professional Hibernate Training

Description

The training provides a very complete coverage of Hibernate. It explains advanced features of Hibernate, provides the participant with a deep knowledge of Hibernate concepts. After the training the student is ready to develop Hibernate based applications, integrate existing databases and craft powerful architectures in different environments. The student is provided with a rich tool set to common problems and can balance pros and cons in different situations.

The training covers 3 days and includes a large number of practical labs including a complete web application, which is analysed and optimized.

Your trainer is Sebastian Hennebrueder.

How to book?

Check our regular schedule or ask for onsite trainings in your office.

Duration 3 days – 18 hours

Price net 1725 EUR, Price incl. VAT 2052.75 EUR

Schedule / Contact

Target Customer

Java developers and architects with a good understanding of Hibernate and project experience, needing to validate their experience, to detail their knowledge and looking for new and advanced strategies in Hibernate.

Provided material

Printed copy of slides

eBook Hibernate Developer Guide (Author Sebastian Hennebrueder)

Table of Content

Day One

1 Introduction

• Choosing the correct approach (Hibernate, Java persistence and EJB 3)
• What's new in Java Persistence 2.0?

2 Mapping of properties

• Advanced concepts, details of standard approaches
• Lazy properties
• Dynamic inserts, updates
• Byte code Instrumentation
• Entities versus Value types
• Custom Types
• Lab – Mapping of properties

3 Understanding Hibernate Concepts – State of objects

• Database identity versus Java identity
• equals and hashcode

4 Working with Objects

• Java Persistence and Hibernate compared
• Save, update, delete
• Reattaching with update, merge, lock
• Lab - Working with objects

5 Reverse and Forward Engineering

• Hibernate Tools
• UML Tools

6 Configuration

• JDBC settings
• Session and Transaction behaviour

7 Relations

• Mapping Overview
• Best practices in relationship handling
• Performance considerations
• Working with Relations
• Efficiently working with relations - Cascading
• Lab – Working with relations

8 Querying

• Aggregation like sum, average, count, min, max
• Sorting
• Reporting queries
• Joins
• Subqueries and detached queries
• Querying of Relations
• SQL Queries
• Named Queries
• Lab – Querying

Day Two

9 Understanding Hibernate Concepts – Lazy loading

• The lazy initialization problem
  • Eager and Lazy loading
  • Changing the load behaviour in the mapping
• Using queries to initialize data
• Choosing strategies
• Lab – Lazy Loading

10 Inheritance

• Strategies
• Performance considerations
• Lab – Inheritance

11 Understanding Hibernate Concepts – Hibernate Session

12 Transaction and Exception handling

• Proper exception handling
• Exception handling with AOP, EJB 3
• Exception handling with web frameworks (JSF, Struts 2, Stripes, Tapestry)
• Transaction handling
  • programmatically
  • declarative with AOP (Spring, Google Guice) or EJB 3

13 Concurrent Access

• Optimistic locking
• Pessimistic locking

14 Full Text Search

• Lucene and alternatives
• Lab – Full Text Search

15 Legacy Applications

• Integrating existing databases and applications

• Primary Keys

  • Generation strategies and pitfalls
  • Composite Primary Keys
  • Advanced strategies to solve primary key problems

• Mapping

• Inheritance
• Trigger
• Stored Procedure
• Concurrent access
• Optimistic locking with legacy databases
• Lab – Legacy Integration

Day Three

16 Architecture

• Integration
  • Web frameworks (JSF, Struts 2, Stripes, Tapestry)
  • AOP Spring, Google Guice
  • EJB 3
• DAO – Data Access Objects
  • Writing DAO
  • Granularity – DAO per class, per use case, per ?
• Persistent Domain Objects
  • Encapsulating business logic
  • Guaranty consistency
• Session life time
  • Session per Transaction
  • Open Session In View (traditional)
  • Open Session In View 2.0
  • Extended Session Handling strategies
• Distributed applications
  • DTOs Data Transfer Objects
  • Pros and Cons of Mapping approaches
  • Dealing with proxies
  • Call by Value strategies

17 Interceptors and Events

• Hibernate Events
• Java Persistence Events
• Lab – Writing an Event Listener

18 Performance

• Cache
• Clustering

• Performance strategies by use case

  Batch updates, inserts, import jobs, export jobs
  

• Analysing performance issues

• Tuning loading of objects and relations
• New: Fetch profiles to optimize data loading
• Lab – Performance

19 Tuning a full web application

Practical session where the student completes a full web application, analyses performance issues and applying a number of tuning strategies practices and design pattern he has learned during the training.