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Your pivot table is based on an external data source, and you wonder if its speed will improve if you use the Optimize memory option.

Figure 7-4. The timestamp matches across all method calls without JITA. Look at what happens if you remove the comments around the JITA-specific code and rerun the client (see Figure 7-5). Now, obviously the churn involved in object creation and destruction will, in most cases, consume the benefit gained by not keeping extraneous instances around between a client s method calls. For this reason, JITA usually makes the most sense when it s combined with object pooling. We ll take a look at object pooling in the next section.

s Note .dqy files can be reused on subsequent data import operations. In Excel 2007, click Data Get

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You can turn on the Optimize memory option if you experience insufficient memory errors while working with your pivot table: 1. Right-click a cell in the pivot table, and choose Table Options. 2. Under External data options, add a checkmark to Optimize memory, then click OK.

These types are all contained by instances of the DataSet object. We ll look at DataSets after we examine the data access model that s built for speed: data readers. Data readers expose a forward-only, read-only, low memory footprint architecture for data access. The

The Optimize memory option was introduced in Excel 97 to address memory problems that occurred when creating pivot tables in earlier versions of Excel. When the option is on, Excel queries the external data if the pivot table is refreshed, or the layout is changed, to count the unique items in each field. If there are 256 or fewer items, it can optimize the storage for that field. As a result, when the option is turned on, refreshing the pivot table is much slower. For example, with a pivot table based on a Microsoft Access query with 30,000 records, the pivot table refreshed in under 3 seconds with the Optimize memory option turned off. With the option turned on, the refresh took more than 10 seconds. The memory limit has been increased dramatically in Excel 2003, compared to earlier versions from 128MB in Excel 2002 to 1GB in Excel 2003, so memory errors occur less frequently. The differences are outlined in the Microsoft Knowledge Base article Not Enough Memory Error Messages When You Copy Formulas Over Large Area in Excel, at http://support.microsoft.com/default.aspx id=313275. For a thorough discussion of Excel s memory limits, see Charles Williams article, Out of Memory, Memory Limits, Memory Leaks, Excel Will Not Start, at www.decisionmodels.com/memlimitsc.htm.

External Data From Other Sources From Microsoft Query, and then click the Queries tab. In Excel 2003, click Data Import External Data New Database Query, and then click the Queries tab.

choice between a data reader and a DataSet is a choice between performance and functionality. Which you choose depends on what you re trying to accomplish. We ll take a look at the details of data access with data readers and with the DataSet, and then we ll examine some of the trade-offs and differences between these methods. But first, we ll examine the fundamental requirement of any data access toolset, the Connection class.

Your workbook contains a few pivot tables, and has almost doubled in size, even though you only added a few rows to the Excel list that s the pivot table source. Every time you add a pivot table, the size goes up a few megabytes. You d like to make the file smaller.

Connections are the fundamental abstraction needed in a data access technology. A Connection object deals with the underlying technical details of establishing a network path of communication with the database server, and is also responsible for presenting the credentials of the user requesting the data to the database. This is one of the most expensive parts of communicating with the database, and is, therefore, one of the most critical resources in data access technology. For this reason, an environment that establishes a pool of connections to the database is usually desired, so that each request for data does not have to incur the overhead of knocking on the door of the database, making an introduction, and getting permission to come in and wander around.

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