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One of the big reasons to own a smartphone is to browse the Web. However, even with the fastest of phones and best of connections, browsing the Web is made complicated by the size of your screen and web designers that didn t take mobile browsers into account. In this chapter, we ll explore ways to get the most from the Web using your Android phone, including use of Android s web browser, alternative browsers, and apps that make browsing faster. We ll also discuss sharing your wireless connection with your laptop. Before discussing Android specifically, it s helpful to know a little about browsing the Web on mobile devices in general. Web pages are usually designed for screens four times as big as those on a mobile browser, and they don t always take low-speed connections into account. Connection speed may not be a problem if you re connected to Wi-Fi or using a 4G network, but when traveling, you ll often run into slow spots and areas with low cell tower coverage. Web pages designed for desktops can end up taking an eternity to load over an EDGE connection. To get around this problem, web developers created the WAP (Wireless Access Protocol) standard. WAP sites are designed to load quickly and display well on small screens. You can see an example by visiting Wapedia at http://wapedia.mobi on either your phone or desktop browser. Wapedia is a WAP version of Wikipedia. WAP sites must be intentionally designed, and not every website takes the time to consider mobile devices. On top of that, the WAP version often loses design elements and functionality in favor of quicker loading times. So there are times when viewing a standard website is either desirable or unavoidable.

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A related problem that needs to be tackled is that of the frequency of round-trips from the client to the server and back.

Now that you have your project under source control and know a few more things about TFS, let s move on to Team Build and get started creating a new public build.

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In traditional client-server applications, the number of calls between the client and the server is drastically reduced. The client is thick, so it holds the data and the logic and interacts with the server only to share the updates or save the commits back to the database. In web applications, this problem is not as straightforward. The immediacy of the web, combined with the concurrency requirements of such applications, pose the age-old complications around dirty and phantom reads. Let s take a small diversion and recap what these problems are. The problems of dirty and phantom reads are defined under the larger umbrella of isolation and concurrency. Typically, isolation levels are defined under the following four categories:

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Read uncommitted: One transaction may see uncommitted changes made by another transaction. Dirty reads may occur in this case. Read committed: Data records retrieved by one transaction are not protected from being modified by another transaction. Nonrepeatable reads may occur. Repeatable read: All retrieved data cannot be changed by another process because it is locked by the transaction that retrieves it. Phantom reads can occur though as range locks are not established. In other words, the where clause of a select statement may have candidate rows that have newly appeared since the select was made, but these new rows will not show up. Serializable: Everything is isolated and no transactional problems occur.

The question is which isolation level is best when creating a Flex interface with a legacy server side A na ve recommendation is to use the serializable level to avoid all problems, but this is usually not practical, as the impact on performance and scalability would be unacceptable. What then is the right level Also, is it advisable to lock pessimistically every time, or to use optimistic locking in most cases Pessimistic locking means you expect conflicts to occur often and so lock every time you initiate an operation. Optimistic locking means you lock only in exceptional cases, because you don t expect conflicts to occur often. As with state management, the choice is neither universal nor easy. In most cases, optimistic locking and maintaining repeatable reads is advisable. Setting up explicit transactional boundaries to avoid unnecessary round-trips is a good idea, too. Next, we consider a completely different scenario. This is a case where the application is database driven, and the screens act as windows to the underlying tables.

Android s web browser is a major part of the Android platform. It can be run as the Browser app or embedded as a feature in other apps. The Browser app is based on the same core technology that powers the iPhone s web browser, WebKit. Apple developed WebKit for use in their Safari web browser, and then later released the code as open source.

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