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Collection.prototype.getNext = function() { return this.items[++this.current]; } Collection.prototype.getPrevious = function() { return this.items[--this.current]; } var coll = new Collection( [1,2,3,4] ); alert( coll.getCurrent() ); // 1 alert( coll.getNext() ); // on to 2 alert( coll.getPrevious() ); // back to 1 You have your main Collection class, which stores a pointer to the current item and the array in a property called items. The getCurrent(), getNext(), and getPrevious() methods enable you to move back and forth within the array, constantly updating the current pointer. It could be extended with the map() function you saw earlier, along with error detection to check whether you have reached the end or beginning of the collection. Many of the JavaScript libraries have implemented iterators and offer plenty of methods that can be extremely handy in working with collections of data like this.

Note It is interesting to note that you can use both the deployment descriptor and mapping annotations

in the same application. For example, you can specify mapping metadata for the Employee entity in the orm.xml file, while still using mapping annotations in the Order and Customer entities the way it is done in this example. Also, you can specify mapping metadata for an entity using both methods. In that case, however, the deployment descriptor will override annotations. If you find it difficult to deal with XML elements for now, you can still use annotations until you are ready to take on building an orm.xml configuration file on your own.

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Figure 7-1. CouchDB contact documents As you can see in Figure 7-1, CouchDB does not store data in a tabular, structured way but rather as individual, self-contained documents. Because there is no strict schema to adhere to, documents do not include null values for fields they do not have data for. Jane Thomas and Charles Bing have no fax numbers in their documents, and Eric Quinn has no e-mail address in his. Because of this, it would be much more difficult to use a SQL SELECT statement to retrieve this data, because not all documents have a value for email and fax. This is where CouchDB s support for row-oriented view engines comes into play. Using views, you can aggregate and report on the documents in your CouchDB database. CouchDB views are completely separate from the documents they report on, and there is no restriction on the number of views you can have of any one document. These views are stored in CouchDB in the form of special design documents

Summary

Now that you have defined mapping metadata for the Employee entity in the orm.xml file, you might completely remove the annotations specified in the Employee entity file. After that, the source code for the Employee entity will look like Listing 9-2. You can compare the updated Employee.java with the original one shown in Listing 8-2 in the preceding chapter. Listing 9-2. Source Code for the Employee Entity Without Object/Relational Mapping Annotations package ejbjpa.entities; import java.io.Serializable; import java.util.List; public class Employee implements Serializable { private Integer empno; private String firstname; private String lastname; private List<Order> orders; public List<Order> getOrders(){ return orders; } public void setOrders(List<Order> orders) { this.orders = orders; } public Employee() { } public Integer getEmpno() { return this.empno; } public void setEmpno(Integer empno) { this.empno = empno; } public String getFirstname() { return this.firstname; } public void setFirstname(String firstname) { this.firstname = firstname; } public String getLastname() {

and are replicated along with regular data documents. As you will see later in this book, this means you can actually replicate entire web applications across CouchDB instances. When a CouchDB view is queried for the first time, CouchDB runs through every document in the database and runs the view function against it. It then takes the result of the view, which is stored in the form of rows of key/value pairs, and stores it in an individual B-tree file. Although this can take quite some time, it occurs only the first time the view is queried. With each subsequent change of a document, the view function is executed against that document only everything else is already stored in the B-tree and remains unchanged. Permanent views are views that are stored inside design documents in the database. They are calculated as described in the previous paragraph. These views are stored and used until such time as their definition changes. You can also create ad hoc temporary views, which are deleted when they are no longer being used. These views are not stored in a design document, and they require the result to be calculated almost every time they are queried. As a result, they are highly inefficient and should be avoided on production systems if possible.

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