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initialized only on demand, and you have no other strategy configured, a particular procedure may well execute dozens or even hundreds of queries to get all the data you require. You need the right strategy to avoid executing too many SQL statements. If you switch from the default strategy to queries that eagerly fetch data with joins, you may run into another problem, the Cartesian product issue. Instead of executing too many SQL statements, you may now (often as a side effect) create statements that retrieve too much data. You need to find the middle ground between the two extremes: the correct fetching strategy for each procedure and use case in your application. You need to know which global fetch plan and strategy you should set in your mapping metadata, and which fetching strategy you apply only for a particular query (with HQL or Criteria). We now introduce the basic problems of too many selects and Cartesian products and then walk you through optimization step by step. The n+1 selects problem The n+1 selects problem is easy to understand with some example code. Let s assume that you don t configure any fetch plan or fetching strategy in your mapping metadata: Everything is lazy and loaded on demand. The following example code tries to find the highest Bids for all Items (there are many other ways to do this more easily, of course):

If your computer running Windows XP Professional is part of a domain, Windows 2000 displays the values that you enter for Location and Comment when a user searches Active Directory for a printer. Entering this information is optional, but it can help users locate the printer more easily.

Capture an image of the reference computer. You can configure a task sequence to automatically capture an image of the reference computer after it completes the Windows 7 installation and save it back to the build computer.

14. On the Print Test Page page, you can specify whether to print a test page to confirm that your printer is set up properly. Because this exercise does not require that you have a printer, click No, and then click Next. When you are actually setting up a printer, you should print a test page to confirm that it is working properly.

List<Item> allItems = session.createQuery("from Item").list(); // List<Item> allItems = session.createCriteria(Item.class).list(); Map<Item, Bid> highestBids = new HashMap<Item, Bid>(); for (Item item : allItems) { Bid highestBid = null; for (Bid bid : item.getBids() ) { // Initialize the collection if (highestBid == null) highestBid = bid; if (bid.getAmount() > highestBid.getAmount()) highestBid = bid; } highestBids.put(item, highestBid); }

Setting Up Network Printers 11-17

15. On the Completing The Add Printer Wizard page, click Finish. 16. In the Printers And Faxes window, notice that there is a new icon for the shared HP Color LaserJet 4550 PS printer. Windows XP Professional displays an open hand on the printer icon to indicate that the printer is shared. The check mark just above the printer indicates that printer as the default printer.

First you retrieve all Item instances; there is no difference between HQL and Criteria queries. This query triggers one SQL SELECT that retrieves all rows of the ITEM table and returns n persistent objects. Next, you iterate through this result and access each Item object.

Taking a printer offline causes documents that you send to this printer to be held on the computer while the print device is not available. This process eliminates error messages about unavailable printers in later exercises. Windows XP Professional displays such error messages when it attempts to send documents to a printer that is not connected to the computer. When a printer is offline, Windows XP Professional dims the icon and changes the status of the printer from Ready to Offline to reflect that the printer is not available.

1. From the Start menu, click Printers And Faxes. 2. Right-click the HP Color LaserJet 4550 PS icon. 3. On the shortcut menu, click Use Printer Offline.

What you access is the bids collection of each Item. This collection isn t initialized so far, the Bid objects for each item have to be loaded with an additional query. This whole code snippet therefore produces n+1 selects. You always want to avoid n+1 selects. A first solution could be a change of your global mapping metadata for the collection, enabling prefetching in batches: