Fast Track to the Java Persistence API Version 2 (JPA 2) Training Course

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Fast Track to the Java Persistence API Version 2 (JPA 2) Training


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Java Programming Stats-Uses and Pros-Cons
Course Description
As part of the complete overhaul of the Enterprise JavaBeans (EJB) specification, database persistence was broken out into a completely separate specification, the Java Persistence API (JPA). JPA replaces entity beans with powerful new Object-Relational Mapping (ORM) capabilities based on proven technologies such as Toplink and Hibernate. This course includes all important features from JPA 2, and is also suitable for users of the 1.0 release. JPA supports a POJO (Plain Old Java Object) based model using annotations which lets you develop persistent classes following common Java idioms. It supports entity relationships, inheritance, polymorphism, composition, and much more. The Java Persistence Query Language (JPQL), which is based on SQL but operates on the object model, provides a powerful bridge between the object and relational worlds. JPA also allows you to express queries using native SQL, including the capability to map the SQL query results to persistent entities This course covers everything you need to know to begin working with the Java Persistence API in a very short time. It covers all the important concepts necessary to access and update data stored in relational databases. It includes an extensive series of labs to exercise all major capabilities. Course Length: 3 Days Course Tuition: $1290 (US)

Prerequisites
One year of Java programming experience (or equivalent) is preferred.

Course Outline

Introduction to Java Persistence API (JPA)

Overview

Persistence Layers, Object-Relational Mapping (ORM), JDBC

JPA Overview

Mapping with JPA

Entities and @Entity, ids and @Id,

Generated Id Values

Basic Mapping Types

Persistence Unit and EntityManager

Persisting to the DB, the EntityManager API

Persistence Units, Config, Persistence Context

Retrieving Persistent Entities with find()

More About Mappings

Default Mappings, @Basic, @Column

Field vs. Property Access

Temporal (Date/Time) Mappings

Logging Options (Provider based)

Updates and Queries

Inserting and Updating - Persisting new Entities, Updating an Instance, Removing an Instance

Querying and JPQL

Entity Based Queries, SELECT ,WHERE

Query Interface, Executing Queries, Generic Queries (JPA 2)

JPQL Operators, Expressions, and Parameters

Named Queries

Additional Query Capabilities

Projection query, Ordering, Aggregate Query, Build Update and Delete

Embedded Objects

@Embeddable, @Embedded

Defining and using Embedded Objects

Compound Primary Keys - @EmbeddedID, @IDClass, Defining Compound Keys

The Persistence Lifecycle

Transaction Overview and Transactions in JPA

Transaction Overview

EntityTransaction API (including JTA and resource-local EntityManager)

The Persistence Lifecycle

JPA Entity States (New, Managed, Detached, Removed), and Entity State Diagram

Persistence Context - Lifespan, Propagation

Synchronization to the DB

Versioning and Optimistic Locking

Overview, Detached Instances

Versioning, @Version, Optimistic Locking

Lifecycle Callbacks

@PrePersist, @PostPersist, etc.

Entity Listeners, @EntityListeners

Entity Relationships

Relationships Overview: Object Relationships, Participants, Roles, Directionality, Cardinality

Relationship Mapping

Mapping Overview (1-1, 1-N, N-1, N-N)

Unidirectional and Bidirectional

@ManyToOne, @OneToMany, Table Structures

Relationship Inverse - Owning Side

Collection Types (List, Set, etc)

Cascading Over Relationships (including orphanRemoval - JPA 2)

@ManyToMany, @OneToOne

Lazy and Eager Loading

Queries Across Relationships (Inner Joins, Outer Joins, Fetch Joins)

Entity Inheritance Mapping

Overview

Single Table Mapping

Joined (Table per Subclass) Mapping

Table per Concrete Class Mapping

Pros and Cons

Element Collections (JPA 2)

Overview, Collections of Value Objects, @ElementCollection, @CollectionTable

Using Element Collections

Collections of Embeddables

The Crietria API (JPA 2)

Overview of the Criteria API

Path Expressions, Building Queries (CriteriaBuilder, CriteriaQuery, Subquery, Predicate, Expression, Order, Selection, Join)

Executing Queries and Accessing Results

Additional JPA Capabilities

XML Mapping Files

Bean Validation (JPA 2)

Best Practices

Primary Keys, Named Queries, Lazy/Eager Loading, Transactional Semantics, Encapsulation, Report Queries

Integration

Data Access Objects (DAO) and Java SE Integration (Optional)

DAO Overview

JpaUtil Class for EntityManager management in Java SE

Lifecycle Considerations

Integration with EJB (Optional)

Using JPA with Session Beans

Container Managed (Injected) Entity Manger

JTA Transactions and Lifecycle Considerations

Extended Persistence Contexts

Using JPA with Java Web Apps

Using EntityManager in Web apps - request scoping

Lazy Loading - Open EntityManager in View Pattern

Integration with Spring (Optional)

Injection of EntityManger, EntityManagerFactory

LocalEntityManagerFactoryBean

JPA/Spring Based DAO

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Java Programming Uses & Stats

Java Programming is Used For:

Android & IOS Development Software Products Video Games Desktop GUI's

Difficulty

Popularity

Year Created

1995

Pros

Most Commonly Used:
According to Oracle, three billion devices run on Java. And, because of its real-world applications, it consistently ranks at the top of the TIOBE Programming Community Index.

Great Career Choice:
Some of the fastest-growing salaries in the U.S. in 2018 are for Java developers. (Glassdoor)

Android Apps Development:
Developers predominatly use their Java skills in building apps for Google's Android. The Android platform is the number one mobile paltform in the world

It Can Run On Any Platform:
Java can compile on Windows and run the same compiled file on Linux, Windows and Mac.

Great Supporting IDE's:
Over the years, coding in Java has become simpler with the introduction of open source development tools, i.e. Eclipse and NetBeans that use Java capabilities for debugging.

Cons

Uses a Lot of Memory:
Performance can be significantly slower with Java and more memory-consuming than natively compiled languages such as C or C++.

Difficulty in Learning:
Learning Java can be a bit challenging if you are a beginner. However, once you get the hang of Object Oriented Programming and a decent grasp of the syntax, you will be well on your way.

Slow Start Up Times:
There is quite a bit of one-time initialization done by JDK classes before compiling as well as loading classes and verification (making sure code doesn't do evil things, all of which takes longer that some other languages such as C.

Verbose and Complex Code:
Long, over-complicated sentences make code less readable and scannable. Compare to let's say Python, we can see how clear Python code appears: It doesn’t require semicolons; uses “and,” “or,” and “not” as operators instead of Java’s “&&,” “||,” and “!”; and generally has fewer bells and whistles such as parentheses or curly braces.

Commercial License Cost:
Companies have to prepare for the changes that Oracle will institute in 2019 . Today, the current version of Java is free and available for redistribution for general purpose computing. However, If you are a DEVELOPER, Oracle recommends you review the roadmap information for Java SE 8 and beyond and take appropriate action depending on the type of application you develop and your distribution mode.

Java Programming Job Market

Average Salary $102,000	Job Count 26,856	Top Job Locations New York City San Jose Washington D.C,

Average Salary

$102,000

Job Count

26,856

Top Job Locations

New York City
San Jose
Washington D.C,

Complimentary Skills to have along with Java Programming

- If you are an experienced Java developer, learning a complimentary language to Java should come much more naturally. As an example JetBrains recently created the Kotlin programming language which is officially supported by Google for mobile development. Kotlin compiles to Java bytecode and runs on the JVM; it's purported to address many of Java's shortcomings...