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Because CouchDB is schema-less by design, the data stored in the database is highly unstructured. Although this means the data is flexible and the fields can be easily changed without disrupting database integrity, it also means that the flat data can be difficult to report on. Although it might be suitable and fast for general-purpose querying, it starts to become more cumbersome when you try to perform aggregation and reporting. Fortunately, CouchDB provides a Spidermonkey-based JavaScript view engine that allows you to create ad hoc views that can perform aggregation and joins, allowing you to report on the documents in the database. These views are not physically stored in the database, but rather they are generated when required, and as a result, they do not impact the actual data being reported on. There is no limit to the number of views you can use. In CouchDB, views are defined inside design documents, and just like data documents, they can be replicated across instances of the database. Inside these design documents are JavaScript functions that run queries using CouchDB s implementation of Map/Reduce. In addition to stored views, ad hoc queries and reports can be run using a temporary view, although for performance reasons, this is not recommended. Each time a client makes a read request, CouchDB will make sure that the requested views are upto-date. If the requested view does not contain the most recent database changes, these edits are incrementally inserted into the view. This alleviates the performance issues associated with generating a view dynamically each and every time it is run, especially on databases that store millions of records of data.

Now that you know how to use ORM metadata to tell the persistence provider how to map entities to underlying database tables, what persistence mechanism might you use to manipulate those entities The following sections address this question while taking a look at the EntityManager, the tool through which you can manage the entity instances life cycles.

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Probably the most common technique of JavaScript debugging is using alert(). There s no software to install and no complicated code to set up. Just pop a line into your code, place the information you re looking for into the alert and see what comes up: alert(varname); An alert is ineffective, however, for tracing anything that is time sensitive or any values within a loop. If something is time sensitive (for example, an animation), the alert throws things off because it has to wait for your feedback before continuing on. If it s a loop, you ll find yourself hitting the OK button countless times. If you accidentally create an infinite loop, you have to force the browser to close entirely, losing anything else that was open, to regain control of it and that s never fun! Alerts can also be ineffective because they show only string data. If you need to know what s contained within an array, you have to build a string out of the array and then pass it into the alert.

Traditional relational databases are typically accessible using a client software application or module, and database transactions are committed using a language known as Structured Query Language (SQL) CouchDB does things somewhat differently, depending on a RESTful HTTP API to provide users access to the data Before we continue, let s deal with those acronyms Representational State Transfer (REST) in this sense refers to the fact that data access is available via a series of simple web services that are implemented in Hypertext Transfer Protocol (HTTP) and adhere to the principles of REST JavaScript Object Notation (JSON) is a light, text-based data format for representing data An application programming interface (API) is the basic interface offered to developers so they can build applications that interact with the database Typically, programming languages would each have a client library for interacting with a particular database.

In a nutshell, if ORM metadata provides the persistence provider with the exact details of how to map the entities to the underlying database, then the EntityManager interface methods provide a standard way to manipulate instances of those entities from within application components, such as enterprise beans and servlets. Diagrammatically, this might look like Figure 10-1.

Figure 10-1. Application components employ the EntityManager interface to manipulate entities mapped to the underlying database data. As you can see in the figure, an application component can interact with the underlying database through the EntityManager interface, which is similar to JDBC in that it provides a set of standard methods allowing you to perform all operations on relational data. Unlike JDBC, however, EntityManager methods operate with JPA entities mapped to the underlying tables with object/relational mapping, as discussed in the preceding chapter.

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