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Revision 4874

Added by ben leinfelder over 15 years ago

pivot constrained to a List of specific attributes: studentId (record number), score, response.
This is the "lower half" of the return set (data).
now: on to the metadata header rows

View differences:

lib/style/skins/first/download.jsp
55 55 
		return params;
56 56 
	}
57 57 
%><%!
58 
	private List transpose(ResultSet rs, int idCol, int pivotCol, boolean omitIdValues) throws SQLException {
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	private List transpose(ResultSet rs, int idCol, int pivotCol, List pivotAttributes, boolean omitIdValues) throws SQLException {
59 59 
		OrderedMap table = new OrderedMap();
60 60 
		OrderedMap widestRow = new OrderedMap();
61 61 
		int colCount = rs.getMetaData().getColumnCount();
......
75 75 
			for (int i = 1; i <= colCount; i++) {
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				if (i != pivotCol) {
77 77 
					String colName = rs.getMetaData().getColumnName(i);
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					//annotate the column name with the pivot column value if not the id column
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					if (i != idCol) {
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						colName = pivotValue + "_" + colName;
78 
					//do we include this column in the pivot?
79 
					if (pivotAttributes.contains(colName)) {
80 
						//annotate the column name with the pivot column value if not the id column
81 
						if (i != idCol) {
82 
							colName = pivotValue + "_" + colName;
83 
						}
84 
						String value = rs.getString(i);
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						row.put(colName, value);
81 86 
					}
82 
					String value = rs.getString(i);
83 
					row.put(colName, value);
84 87 
				}
85 88 
			}
86 89 
			//track the headers - the values are junk
......
179 182 
			CSVWriter csv = new CSVWriter(writer, CSVWriter.DEFAULT_SEPARATOR, CSVWriter.NO_QUOTE_CHARACTER);
180 183 
			try {
181 184 
				if (transpose) {
182 
					List transposedTable = transpose(rs, observation, pivot, true);
185 
					List pivotCols = new ArrayList();
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					pivotCols.add("studentid");
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					pivotCols.add("score");
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					pivotCols.add("response");
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					List transposedTable = transpose(rs, observation, pivot, pivotCols, true);
183 190 
					csv.writeAll(transposedTable);
184 191 
				} else {
185 192 
					csv.writeAll(rs, true);

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