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In this chapter, you ve taken a whirlwind tour through the DDL subset of SQL, yet you ve hardly scratched the surface. As I noted at the beginning of the chapter, if you look at the scripts provided in the code download, you ll see that even for this small database, the scripts are complex certainly more complex than you ve seen here. You ve looked at the basics of DDL, and you ve seen how to create, modify, and delete databases and tables in both SQL Server and MySQL. You ve also seen how you can create indexes on tables and relationships between the different tables in the database. Remember the following points when using DDL: You usually have multiple ways to do the same thing; for example, you looked at two ways to create primary keys on tables. None of the ways to do something is more correct than the others, so choose the one you re comfortable using. Be extremely careful when deleting things from the database. It s easy to destroy a table or a database using just a single line of SQL. You ve just about finished with your look at databases, and in the next chapter you ll learn about several topics that will improve how you handle databases. You'll look at concurrency, caching, transactions, and multiple result sets and see that these more advanced topics can improve the Web sites that you re building quite dramatically.

private BroadcastReceiver receiver=new BroadcastReceiver() { public void onReceive(Context context, Intent intent) { updateForecast(); } };

he past eleven chapters have covered quite a lot of ground and provided a good foundation in creating data-driven Web sites This chapter covers several useful techniques to improve your Web site s use of databases When updating or deleting from the database, there is always the possibility that another user has managed to change the data in the database before you ve had the chance to make your own changes This potentially leaves the database in a bit of a mess, as the first set of changes will be lost and overwritten with the second set of changes, resulting in a data concurrency problem We ll look at one solution to this problem, which prevents changes being made to the database if changes to the same data have already been made Next, we ll explore caching.

$ svn commit -m "merge fix for issue #175 into the release branch."

Pop-up messages, tray icons with their associated bubble messages, bouncing dock icons, and so on you are no doubt used to programs trying to get your attention, sometimes for good reason. Your phone also probably chirps at you for more than just incoming calls: low battery, alarm clocks, appointment notifications, incoming text messages, and so on. Not surprisingly, Android has a whole framework for dealing with these sorts of alerts, collectively called notifications, which is the subject of this chapter.

In previous examples, you ve always needed to make a round trip to the database to retrieve query results from the database For frequently changing data, this is the only way that you can show up-to-date data But for data that doesn t change that often, you can use the caching functionality of ASPNET to store that data on the Web server and remove the relatively expensive trips to the database Our next topic is transactions When you need to execute multiple related queries against the database (such as inserting, updating, or deleting a Player), you want all of the queries to succeed or you want all of the queries to fail By default, each query you execute exists in its own little world, and as soon as it s executed, the database is updated with the changes.

If a related query fails, then the database is left in an inconsistent state is the data correct or is it incorrect Transactions allow you to combine queries together so that they either all succeed or all fail Finally, we ll look at using multiple result sets In previous chapters, you ve looked at query batches, but they have either not returned any results or returned only one set of results ASPNET allows you to combine multiple SELECT queries into one query batch and deal with the results through a single DataReader This chapter covers the following topics: How to ensure data concurrency How to cache data on the Web server to avoid round trips to the database How to work with transactions to ensure that a set of queries either completely succeeds or completely fails How to combine multiple SELECT queries in a query batch.