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The ScanObject() method uses reflection much like you ve seen in other methods within the framework. But in this case, it not only assembles a list of public properties, but also of public fields: private List<string> ScanObject(Type sourceType) { List<string> result = new List<string>(); if (sourceType != null) { // retrieve a list of all public properties PropertyInfo[] props = sourceType.GetProperties(); if (props.Length >= 0) for (int column = 0; column < props.Length; column++) if (props[column].CanRead) result.Add(props[column].Name); // retrieve a list of all public fields FieldInfo[] fields = sourceType.GetFields(); if (fields.Length >= 0) for (int column = 0; column < fields.Length; column++) result.Add(fields[column].Name); } return result; } Given that this code is similar to other code you ve seen earlier in the book, I won t go through it in detail. In the end, it returns a list of column names by finding the names of all public properties and fields.

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The number of logical I/Os is 6. Note that the number of logical I/Os has decreased as the fetch size has increased. The relevant portion of the tkprof output for _demoCstmtFetchSize() is as follows: select /*+(CONN=5)(CSTMT=20)*/x from t1 where rownum <= :p_fetch_size call count ------- -----Parse 1 Execute 1 Fetch 21 ------- -----total 23 cpu elapsed disk query current -------- ---------- ---------- ---------- ---------0.00 0.00 0 0 0 0.01 0.01 0 0 0 0.01 0.02 0 23 0 -------- ---------- ---------- ---------- ---------0.03 0.03 0 23 0 rows ---------0 0 100 ---------100

Note The reason for the different default timeout values is that creating a database connection to

The last step in the Fill() method is to call a CopyData() method to copy the data from the source list to the DataTable. The list of column names from GetColumns() is also passed as a parameter, and that list is used to retrieve the data from each item in the source list. private void CopyData( DataTable dt, IList ds, List<string> columns) { // load the data into the DataTable dt.BeginLoadData(); for (int index = 0; index < ds.Count; index++) { DataRow dr = dt.NewRow(); foreach (string column in columns) { try { dr[column] = GetField(ds[index], column); } catch (Exception ex) { dr[column] = ex.Message; } } dt.Rows.Add(dr); } dt.EndLoadData(); }

Note that from the SQL tag string "/*+CONN=5CSTMT=20*/, we see that the fetch size at Connection level for this select was 5, at the CallableStatement level it was 20, and at the ResultSet level it was 20, since it was not overridden.

Microsoft SQL Server is much less costly than creating one to Oracle, so the payback in freeing open connections is much more immediate with Microsoft SQL Server.