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The map in Figure 3 37 can easily be enhanced to account for this by adding logic based on the record count of hourly values in the source XML document You can accomplish this via the following steps: 1 Click the Toolbox, and click the Advanced Functoids tab On the map surface, between the source and destination schemas, drag and drop a Record Count functoid This functoid accepts a repeating source record (or data element) as its one input parameter The return value is the count of repeating source records contained in a specific instance document Connect the left side of the Record Count functoid to the repeating source record (or data element) whose index is the key input for the required decision logic..

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Drag and drop a Subtraction functoid from the Mathematical Functoids tab onto the map surface, positioning it to the right of the Record Count functoid. This functoid accepts a minimum of 2 and a maximum of 99 input parameters. The first is a numeric value, from which all other numeric input values (the second input parameter to the last) are subtracted. The return value is a numeric value equaling the first input having all other inputs subtracted from it. Connect the right side of the Record Count functoid to the left side of the Subtraction functoid. Specify the second input parameter for the Subtraction functoid as a constant, with a value of 12. Connect the right side of the Subtraction functoid to the left side of the Greater Than functoid. Ensure that this input to the Greater Than functoid is the second input parameter.

For example, to display the concatenated values of two data source fields in a text field, define an expression like this one: <textFieldExpression> $F{FirstName} + " " + $F{LastName} </textFieldExpression> The expression can be even more complex, as in the following example: <textFieldExpression> $F{FirstName} + " " + $F{LastName} + " was hired on " + (new SimpleDateFormat("MM/dd/yyyy"))format($F{HireDate}) + "" </textFieldExpression> To reference a report variable in an expression, you must put the name of the variable between $V{ and }, as in this example: <textFieldExpression> "Total quantity : " + $V{QuantitySum} + " kg" </textFieldExpression> As you can see, the parameter, field, and variable references introduced by the special JasperReports syntax are in fact real Java objects Knowing their class from the parameter, field or variable declaration made in the report template, you can even call methods on those object references in your expressions.

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In this modified example, the repeating source record s count has 12 subtracted from it to adjust for the two DST days of the year (this works since we are interested in only the afternoon energy usage values, which are always the final 12 readings for a day). This adjusted value is then passed through the same logical Greater Than functoid as in the previous example, and the DST issue is effectively handled. The use of the Iteration functoid is common in a number of other scenarios. One such scenario is when dealing with a document formatted with comma-separated values (CSV). Often, the first row in a CSV document contains column header information, as opposed to actual record values. The following flat file snippet shows one possible representation of energy usage values in CSV format: EnergyUsage,Adjustments 2.4,0 2.5,0 2.8,0 In cases like these, it is likely that you do not want to map the column headers to the destination XML document. You can use an Iteration functoid to skip the first record of a CSV document. The index from the Iteration functoid is passed to a logical Not Equal functoid, which compares the index with a hard-coded value of 1. If the index is anything other than 1 (the record at index 1 contains the column header information), the values are mapped to the destination XML.

Another common use of the Iteration functoid is to allow the interrogation of records preceding or following the currently processed record. This can be helpful when mapping elements in a repeating record in the source schema that require knowledge of the next or previous record.

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