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Each button on the button bar offers a different way to list YouTube videos. To find videos, tap any of these buttons: Featured: This screen lists videos reviewed and recommended by YouTube staff. Most Viewed: This screen lists the most popular videos of the day, week, or all time. Bookmarks: This screen is for a collection of videos you ve selected and bookmarked. Search: On this screen, enter a keyword or two, and then tap Search to look through YouTube s entire collection. More: Choose from three more viewing choices or customize the display: Most Recent showcases YouTube s newest items. Top Rated lists YouTube s collection of videos that have garnered the most viewer support. History displays recently viewed items. Edit lets you choose which items appear on your shortcuts bar and which items appear on the More screen. On each of these screens, you can scroll up and down the listings and play back any video by tapping its name or icon.

4. Register Script Descriptors 5. Get Script Descriptors 6. Get Script References 7. Render Scripts

This would successfully return all contacts from table, returning null values where no value is present in a particular column. It can do this because although there is no value in that column, there is still physical data stored in that column in the form of a null value. Now, let s look at the same data but in a CouchDB database (Figure 7-1).

The button bar at the bottom of your screen is fully customizable, so it can provide quick access to the categories you view the most. Tap More Edit to make changes. Available categories appear in the screen above the bar, as shown in Figure 5-4. Select the ones you want to use, drag them down to the button bar, and then tap Done.

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

Figure 9.5 An Ajax-enabled control must register itself with the ScriptManager control. The registration procedure starts during the PreRender stage and is completed in the Render stage.

Figure 5-4. Use this Configure screen to choose which buttons appear in the bar at the bottom of the YouTube application.

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.