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We create a third table, bad_records_table, where our code will insert any bad records, with the record value (the bad number) and an appropriate error message: benchmark@ORA10G> create table bad_records_table ( x number, error_message varchar2(4000 )); Table created. One solution that comes to mind is to write procedural code that loops through the records of the table source_table and filters out the bad records, inserting the bad records into bad_records_table while inserting the valid records into destination_table. The following row_by_row procedure does just that. It inserts the records into destination_table, and if there is an exception raised, it inserts the appropriate information into bad_records_table: benchmark@ORA10G> create or replace procedure row_by_row 2 as 3 cursor c is select x from source_table; 4 l_x source_table.x%type; 5 l_error_message long; 6 begin 7 open c; 8 loop 9 fetch c into l_x; 10 exit when c%notfound; 11 begin 12 insert into destination_table(x) values( l_x ); 13 exception 14 when others then 15 l_error_message := sqlerrm; 16 insert into bad_records_table( x, error_message ) 17 values( l_x, l_error_message ); 18 end; 19 end loop; 20 commit; 21 end; 22 / Procedure created. To test the code, let s execute it: benchmark@ORA10G> exec row_by_row; PL/SQL procedure successfully completed. and select out records from bad_records_table: benchmark@ORA10G> select * from bad_records_table;

This portion of the page consists of two panels with a CollapsiblePanelExtender, and it displays some basic information about ASP.NET AJAX. There is a little image on the right side of the panel that collapses or expands the panel when clicked. Here s the .aspx markup for this portion of the page:

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-1 ORA-02290: check constraint (BENCHMARK.CHECK_NONNEGATIVE) violated -2 <-- trimmed to save space --> ORA-02290: check constraint (BENCHMARK.CHECK_NONNEGATIVE) violated -10 Although the procedure row_by_row does the job, it turns out that we can do much better in PL/SQL in terms of performance at the cost of a little bit more code complexity. We will use the PL/SQL feature known as bulk binding (this feature is discussed at length in the section Using Bulk Binding of 17; here we just focus on its impact on performance). We first create a SQL nested table type that can store numbers: benchmark@ORA10G> create or replace type number_table as table of number; 2 / Type created. In the following bulk_bind procedure, we first collect all the records into the nested table using the bulk collect clause. We then use the forall clause to insert the records into the table destination_table. Finally, we use the save_exceptions clause to save any exceptions that may have occurred, and we insert these exceptions into bad_records_table. benchmark@ORA10G> create or replace procedure bulk_bind 2 as 3 l_number_table number_table; 4 l_error_message long; 5 l_error_row_number number; 6 l_error_code number; 7 begin 8 select x 9 bulk collect into l_number_table 10 from source_table; 11 begin 12 forall i in 1..l_number_table.count save exceptions 13 insert into destination_table( x ) values( l_number_table(i) ); 14 exception 15 when others then 16 for j in 1..sql%bulk_exceptions.count loop 17 l_error_row_number := sql%bulk_exceptions(j).error_index; 18 l_error_code := sql%bulk_exceptions(j).error_code; 19 l_error_message := sqlerrm( -1 * l_error_code ); 20 insert into bad_records_table( x, error_message ) 21 values( l_number_table(l_error_row_number), 22 l_error_message ); 23 end loop; 24 end;

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<asp:Panel ID="Panel2" runat="server" CssClass="collapsePanelHeader" Height="30px"> <div style="padding:5px; cursor: pointer; vertical-align: middle;"> <div style="float: left;">What is ASP.NET AJAX </div> <div style="float: left; margin-left: 20px;"> <asp:Label ID="Label1" runat="server">(Show Details...) </asp:Label> </div> <div style="float: right; vertical-align: middle;"> <asp:ImageButton ID="Image1" runat="server" ImageUrl="~/images/expand_blue.jpg" AlternateText=" (Show Details...) " /> </div> </div> </asp:Panel> <asp:Panel ID="Panel1" runat="server" CssClass="collapsePanel" Height="0"> <br />

commit; end; /

Procedure created. After deleting all records from destination_table and bad_records_table, we find that the procedure does its job correctly: benchmark@ORA10G> exec bulk_bind; PL/SQL procedure successfully completed. benchmark@ORA10G> select * from bad_records_table; -1 ORA-02290: check constraint (.) violated -2 ORA-02290: check constraint (.) violated -3 ORA-02290: check constraint (.) violated <-- trimmed to save space --> -10 ORA-02290: check constraint (.) violated 10 rows selected.

Note You may point out that the error message in the procedure bulk_bind is not as complete as in the case of row_by_row (the constraint name is missing). I am assuming that this is an acceptable trade-off for the performance gain achieved by using bulk bind in this example.

CHAPTER 7 USING THE ASP.NET AJAX CONTROL TOOLKIT (PART 1)

In my tests with JRunstats for invoking the preceding two JDBC procedures, I found that the procedure row_by_row took around 19 times the time and consumed about 99 times the number of latches as compared to the procedure bulk_bind. Clearly, even if we had optimized our JDBC layer, we would have written a severely suboptimal program had we not used PL/SQL efficiently in this case. This example underlines the fact that you have to know PL/SQL well to write a highperformance JDBC application using PL/SQL (which is very common). In 6, I present strong arguments for using PL/SQL extensively in your code and using CallableStatement to invoke the PL/SQL code from your Java programs.

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