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t s hardly possible to show all the features provided by the Java Persistence API with a single sample application. So, in this chapter, I ll temporarily digress from the sample you started building in the preceding chapters and give you a closer look at the object/relational mapping of Java objects to relational database data, investigating this facility with many examples. The chapter starts with an overview of the object/relational mapping facility, briefly reviewing what you ve already learned about it in the preceding chapters of this book. Then, it moves on to some interesting topics explaining how to seamlessly bridge the gap between Java objects and the underlying database tables with the help of object/relational mapping. In particular, this chapter discusses the following: Specifying object/relational mapping metadata with annotations Using XML deployment descriptors instead of mapping annotations Navigating related entities over their relationships Cascading operations performed on related entities Defining composite primary keys that include foreign key mappings Generating values for identity columns Of course, object/relational mapping is a very broad topic that can t be covered in full detail in a single chapter. The main purpose of this chapter, however, is to show you that although object/relational mapping offers a fairly wide variety of features, it can still be quite easy to use and understand.

} } } CouchDB uses JSON not only to define documents and design documents but also to return the results of a view. This is the case for all views, be they special views included with CouchDB, views stored in design documents, or temporary views that are executed ad hoc. The simplest example of this is the _all_dbs resource, which simply returns a JSON array with the names of all the databases stored on the CouchDB server. Point your web browser to http://127.0.0.1:5984/_all_dbs (assuming CouchDB is installed on your local machine) to see this in action. In my case, it returned the following: ["contacts","oracle","employees","documents"] Let s take a look at a more complex example. This time, let s look at the special _all_docs resource for one of the databases that was returned in the previous example. In this case, I m using the employees database, so I point my browser to http://127.0.0.1:5984/employees/_all_docs. Listing 6-13 shows the result I get. Please note that I have reformatted the output to make it easier to read. Listing 6-13. Result of the _all_docs Resource { "total_rows": 3, "offset": 0, "rows": [ { "id": "0ff58e85219e87cbd049985916ae6011", "key": "0ff58e85219e87cbd049985916ae6011", "value": { "rev": "4-1095527712" } }, { "id": "2c6ac90a0837c5fdec59840b59ad0d25", "key": "2c6ac90a0837c5fdec59840b59ad0d25", "value": { "rev": "2-929410300" } }, { "id": "3eccc869c36c87149b1dca2a67fec8ce", "key": "3eccc869c36c87149b1dca2a67fec8ce", "value" :{ "rev": "2-149107265" } } ] } As you can see, this resource returns a JSON object with three fields: total_rows, offset, and rows. The rows value is a JSON array with each of the documents in the database represented as a JSON object, with three values: id, key, and value. You will learn more about CouchDB views and how to create your own temporary and permanent views in the coming chapters.

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If you have followed the examples discussed in the preceding chapters, you should already have at least a cursory knowledge of object/relational mapping. To recap, the Java Persistence API uses an object/relational mapping approach when it comes to managing relational data. With this approach, you can associate a regular Java class with a relational database table, mapping each field of the class to a column in the underlying table. To turn a Java class into a JPA entity representing a table in a relational database, you can use object/relational mapping annotations or XML, specifying the exact details of the mapping applied.

prototypebind = function() { var __method = this, args = $A(arguments), object = argsshift(); return function() { return __methodapply(object, argsconcat($A(arguments))); } } The $A function is a Prototype JavaScript library function that takes a collection and turns it into an array by iterating over the collection and adding each element into the array It then uses the array method shift to knock off the first element in the array and save it This is the first parameter you pass into the function and is the object with which you want to bind Next, it returns an anonymous function that does the fun stuff Through the closure, it takes the current function, which was assigned to __method, and applies it to object It then takes the arguments from before and adds them to the current list of arguments.

The following two sections provide a brief overview of the JPA s object/relational mapping approach, followed by the sections that provide some examples of mapping the entity data to the underlying database.

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