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in a year cannot exceed 52 minutes. Although this might seem like a long time, con sider that this is not for a single outage, but for an entire year. Reaching into the realm of five 9s of availability can be accomplished only by geo graphically dispersed systems that have automatic failover capabilities because achieving 99.999 percent availability means that a system can be unavailable for a maximum of only 5.26 minutes in an entire year. Although these levels of availability are accomplished on many systems in produc tion, guaranteeing high levels of availability requires very careful planning.



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In this chapter, we take a thorough look at the process of developing entity beans specifically, mapping them to a relational database A good rule of thumb is that entity beans model business concepts that can be expressed as nouns Although this is a guideline rather than a requirement, it helps determine when a business concept is a candidate for implementation as an entity bean In grammar school, you learned that nouns are words that describe a person, place, or thing The concepts of person and place are fairly obvious: a person entity might represent a customer or passenger, and a place entity might represent a city or port of call Similarly, entity beans often represent things : real-world objects, such as ships and credit cards, and abstractions, such as reservations.

dataSet1.Tables["Products"].Rows.Add(newRow4);





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To design a highly available environment, you need a roadmap. Figure 7-1 shows a basic roadmap for availability that can be found with the framework.

Entity beans describe both the state and behavior of real-world objects and allow developers to encapsulate the data and business rules associated with specific concepts; an Employee entity encapsulates the data and business rules associated with an employee, for example This makes it possible for data associated with a concept to be manipulated consistently and safely Entities represent data in the database, so changes to an entity bean result in changes to the database That s ultimately the purpose of an entity bean: to provide programmers with a simpler mechanism for accessing and changing data It is much easier to change a customer s name by calling EmployeesetName() than by executing an SQL command against the database In addition, using entity beans provides opportunities for software reuse Once an entity bean has been defined, its definition can be used throughout your application in a consistent manner.

High-Availability Framework Other relevant factors: Database Size Throughput Requirements Cost Requirements Solution Component Costs etc. Solutions to Specific Barriers Downtime Budget Business Availability Goals Barriers to Availability

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DataRow newRow5 = dataSet1.Tables["Products"].NewRow();

HA Solution Component (1)

The concept of an employee, for example, is used in many areas of business, including booking, task assignment, and accounts payable An Employee entity is also a unified model to information and thus ensures that access to its data is consistent and simple Representing data as entity beans can make development easier and more cost-effective When a new entity is created and persisted into the entity manager service, a new record must be inserted into the database and a bean instance must be associated with that data As the entity is used and its state changes, these changes must be synchronized with the data in the database: entries must be inserted, updated, and removed The.

HA Solution Component (2)

newRow5["CategoryID"] = 2;

process of coordinating the data represented by a bean instance with the database is called persistence. The Java Persistence specification gave a complete overhaul to entity beans. CMP 2.1 had a huge weakness in that applications written to that specification were completely nonportable between vendors because there was no object-to-relational (O/R) mapping. O/R mapping was completely left to the vendor s discretion. These next chapters focus solely on Java Persistence s object mappings to a relational database. This chapter focuses on basic entity bean mappings to a relational database. 11 will discuss how entities can have complex relationships to one another and how Java Persistence can map these to your database. 13 will cover how we interact with entity beans through the Java Persistence Query Language (JPA QL) and Criteria APIs.

HA Solution Component (n)

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