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Up to this point, your main focus has been on performing CRUD-style operations on your CouchDB data creating, updating, and deleting documents and attachments and using the Futon web-based interface to manage your database. In this chapter, you will investigate how to get some meaningful data out of your CouchDB database, using the built-in JavaScript view engine. If you have experience with traditional relational database management systems such as Oracle, Microsoft SQL Server, or MySQL, you will be used to using Structured Query Language (SQL) queries to retrieve data from your database. SQL offers a straightforward and simple means of retrieving, aggregating, and sorting data from a structured database with a strictly defined schema. CouchDB databases, however, do not have a schema, and therefore using structured queries does not make much sense. The best way to illustrate this is by means of an example. Let s take a basic contacts table and see how that might be represented in a traditional relational database (Figure 7-1). Table 7-1. Traditional RDBMS contacts table

Figure 9-2. A graphical representation of how you can extract information from related records stored in different database tables As you can see, there are several significant differences in the way data is structured and accessed in Java and in a relational database in which the underlying data resides. To smooth the difficulties that arise from these differences, the Java Persistence API uses an object/ relational mapping approach, hiding the complexity of what actually occurs behind the scenes. This allows Java programmers to deal with Java objects mapped to the underlying tables, rather than dealing with those tables directly via SQL/JDBC.

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You can create your own example now that will parse through your own special array: function SpecialArray(arr) { thisarr = arr; } SpecialArrayprototypemap = function(func) { for(var i = 0; i < thisarrlength; i++) { thisarr[i] = func(thisarr[i]); } return this; } var obj = new SpecialArray( ['A','B','C'] ); objmap( function(el){ return eltoLowerCase() } ); // returns ['a','b','c'] First, there is a special new object called SpecialArray that has an internal array and one method called map() The map() method takes a function and runs that function on each of the elements within the array In this case, it changes all the elements from uppercase to lowercase By keeping it agnostic like this, you can manipulate the elements in the array any way you please by simply passing in a different function: obj.

The concept behind object/relational mapping is simple. You start by creating Java classes called JPA entities or just entities, building them upon the underlying database tables. In a simple entity, you define persistent instance variables, one per column in the underlying table, as well as the getter and setter methods for these variables.

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Next, using either object/relational annotations or deployment descriptor elements in an object/relational mapping XML file named orm.xml, you provide the persistence provider with the details of the mapping being applied. These approaches will be discussed in more detail in the next two sections. Given object/relational mapping metadata, the persistence provider can figure out what SQL statement to implicitly issue in response to a certain operation performed upon an entity instance. Note, however, that when developing an entity, you do not need to define methods performing database-related operations, such as persist, merge, refresh, or remove. The fact is that all these methods, as well as some others designed to interact with the persistence context, are available through the EntityManager standard interface whose instance is injected in the code dealing with entities. Figure 9-3 gives a graphical illustration of how relational data mapped to a JPA entity can be accessed from your application code via an EntityManager instance.

map( function(el){ return el + '!' } ); // returns ['A!','B!','C!'] You can even work with arrays of different object types: var obj = new SpecialArray( [1,2,3] ); objmap( function(el){ return el * el } ); // returns [1,4,9].

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