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Within this solution, you can identify all the elements I used in the previous solution. The inputs to the PIVOT operator are as follows: The aggregate that will apply to the values in the group. In our case, it's MAX(value), which extracts the single non-NULL value corresponding to the target attribute. In other cases, you might have more than one non-NULL value per group and want a different aggregate (for example, SUM or AVG). Following the FOR keyword, the source column holding the target column names (attribute, in our case). The list of actual target column names in parentheses following the keyword IN. The tricky bit here is that there's no explicit GROUP BY clause, but implicit grouping does take place. It's as if the pivoting activity is based on groups defined by the list of all columns that were not mentioned in PIVOT's inputs (in the parentheses) following the PIVOT keyword). In our case, objectid is the column that defines the groups. rdlc pdf 417 PDF417 Barcode Creating Library for RDLC Reports | Generate ...
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