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A REF cursor is a pointer to a result set generated on the server from a query. REF cursors can be used, for example, when you need to run a query in one stored procedure and have the results processed by another stored procedure. Because it is essentially a pointer to a result set in memory, what is passed around is the reference or pointer, not the actual result set itself. What is important to note is that a REF cursor points to a result set existing in server memory, not client memory. When a REF cursor-generating query executes on the server, initially only the pointer, not the actual data, is returned to the client. Data are only returned to the client when they are requested. This may mean additional roundtrips to the server but is better in terms of performance in cases where you do not immediately need to use the data after running a query.

For most of the queries you write, MySQL s join optimization system will pick the most efficient access path and join order for the various tables involved in your SELECT statements. For those other cases, MySQL enables you to influence the join optimization process through the use of join hints. Join hints can be helpful in a number of situations. Here, we ll discuss the following MySQL hints: STRAIGHT_JOIN USE INDEX FORCE INDEX IGNORE INDEX

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It goes without saying that there s a lot of design and testing required to create a truly efficient virtualized ListView. You need to weight the memory requirements against the database latency (for a single user) and the database load (which affects the scalability for multiple users). For example, if the cost of retrieving the records is high, you might choose to cache a much larger number of records but still retrieve them only in bite-sized chunks. It s also up to you to determine when to fetch new ones (asynchronously, on demand, and so on) and how to optimize the process of getting a subset of records. Depending on your approach, getting a single page of records may be just as intensive for the database as the cost of performing the whole query. If it is, your memory-friendly virtualization technique will lead to a databaseintensive bottlenecked application. Finally, you should always ask yourself whether you really need all that data. If nothing else, scrolling through pages of uninteresting information might annoy the user. A more straightforward option is to use (or force the user to choose) tight searching criteria so that only a few hundred records are shown at a time.

Caution If MySQL isn t choosing an efficient access strategy, usually there is a very good reason for it.

Caution Another indirect implication of accessing a REF cursor is that (unlike a DataSet), the moment you close the database connection, the REF cursor becomes unavailable. This is because the result set of a REF cursor actually resides in server memory, not at the client.

Selecting just the page of records you need isn t as easy as it seems at first. You might think you can select a range of records based on a unique identity field, but you have no easy way to know how many values fall in a specified range. For example, imagine you want to get the rows in position 40 to 50. Even if you know the first row has a unique identity value of 1, you have no guarantee that row 40 will have an identity of 41. Unless all the records were inserted in one batch, it s likely that some identity values are skipped. Unfortunately, SQL Server has no way to query an arbitrary page of records from a query (unlike Oracle, which provides the ROWNUM() function). To code around this limitation, you can use a stored procedure like the following one. It copies all the records from the Orders table into a new temporary table, numbering them with a new unique identifier. It then extracts the specified subset of rows by searching on the new unique identifier. CREATE PROCEDURE GetOrdersByPage(@FromID int, @ToID int) AS -- Create a temporary table with the columns you are interested in. CREATE TABLE #TempOrders ( ID int IDENTITY PRIMARY KEY, OrderID int,

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