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although these valves are not always provided This type of system is not satisfactory in spring and fall, when changeover may be needed twice each day A great deal of energy is wasted at each changeover A compromise is the three-pipe system (Fig 715), which uses a hot supply pipe, a cold supply pipe, and a common return Special valves are required at the AHUs and fan-coil units The single coil in the AHU is used for heating or cooling Again, there is much wasted energy due to the common return The purpose, and only bene t, of both the two- and three-pipe systems is to decrease rst cost Another type of central system provides a neutral temperature water source to individual heat pumps throughout the building See Fig 716 The design philosophy is that when the heat pumps are in the heating mode, the return water will be colder and heat will be supplied from the boiler When cooling is needed, the return water will be warmer and will be cooled by the evaporative water cooler Much of the time, some heat pump units will be heating while others are cooling, in effect transferring energy between those building areas, and very little primary heating or cooling will be needed There is no outside air or economizer cycle, so some energy must be expended to cool interior zones all year long

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Part II:

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14 From the Excel toolbar, click Save Excel saves the exploration You can publish the exploration to Cognos 8 For more information on publishing to Cognos 8, refer to the Publish Microsoft Office Documents in Cognos 8 section later in this chapter 15 Optionally, from the exploration toolbar, click Reset to Blank Exploration to clear your work area and start over

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ResultSet rs = statementexecuteQuery("SELECT * from MYTABLE"); The object returned from executeQuery is of type ResultSet A ResultSet is essentially a collection of database table rows You may iterate over the rows using the ResultSetnext method For each row, the values of the various columns can be retrieved using get methods of the ResultSet object The get methods can either use column ordinals or column names For example, if the first column is called "COLUMN1" and holds integer values, you may retrieve such values in either one of the following ways: int way1 = rsgetInt("COLUMN1"); // By column name or int way2 = rsgetInt(1); // By ordinal Similar to the getInt method, you have getString, getObject, and other get methods Performing Updates Performing updates is similar to performing queries, except a different method of the fix-width object is used Here's an example: Statement statement = concreateStatement(); statementexecuteUpdate("INSERT MYTABLE VALUES (1,2,3)"); Closing the Connection Closing the connection is simple you just invoke the close method of the connection object: connclose(); While this is only one line of code, it is an important thing to do since keeping the connection open will load the database and your JVM If you repeatedly open new connections and forget to close them, you could run into performance and even availability problems More JDBC Capabilities You now are familiar with the basic outline of how to use a database from within a Java application using JDBC This section continues to more advanced options of JDBC Prepared Statements To improve the performance of your application, JDBC lets yo u write statements in a way that is identical apart from different arguments to the same parameters using prepared statements For example, consider selecting out of a table all the rows in which the first column has a certain value, val You can achieve this in the following way: ResultSet rs = statementexecuteQuery("SELECT * from MYTABLE WHERE" + "COLUMN1 = " + val); However, this might not be efficient, because the SQL query must be generated from scratch over and over The alternative approach is constructing a prepared statement, as follows: PreparedStatement ps = connprepareStatement("SELECT * from MYTABLE WHERE COLUMN1 = "; 268.

Like an exploration analysis, the cell-based analysis lets you interact with your data from Cognos 8 However, the cell-based analysis lets you use specific items from the Source tree to build a highly customized analysis without the use of a crosstab You can drill-through your data, and use all the tools available in Excel or you can compare two data sources side by side in the same worksheet Once you created your cell-based analysis, you can convert it to an exploration Here s how to create a cell-based analysis: 1 Access Cognos 8 BI Analysis in Excel The Cognos 8 toolbar and work area display, as shown next The work area provides space for you to drag items from the Source tree to create your analysis For more information, refer to the Access BI Analysis in Excel section of this chapter

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