.NET/Java PDF, Tiff, Barcode SDK Library

sql%bulk_exceptions(i).error_index ); 14 dbms_output.put_line( 'error code: ' || sql%bulk_exceptions(i).error_code ); 15 dbms_output.put_line( 'message: ' || sqlerrm( -sql%bulk_exceptions(i).error_code )); 16 17 end loop; 18 end; 19 end; 20 / number of exceptions raised: 3 row number : 4 error code: 1400 message: ORA-01400: cannot insert NULL into () row number : 5 error code: 2290 message: ORA-02290: check constraint (.) violated row number : 10 error code: 2290 message: ORA-02290: check constraint (.) violated PL/SQL procedure successfully completed. We use the save exceptions option in the forall operation in the preceding code to save the exceptions and continue with inserting other records. This results in PL/SQL storing any exceptions raised in an internal collection called sql%bulk_exceptions. From this collection, we can get the culprit row indices as well as the error codes for any exceptions raised during the forall operation. Using sqlerrm, we can then also print the error message. Since we handled the exception, all the valid records are retained as verified by the following query: benchmark@ORA10G> select * from t6; X ---------1 2 3 6 7 8 9 7 rows selected. We can conclude that bulk binding can improve the performance of our code tremendously, at the cost of some code complexity. We can also save any exceptions raised using save exceptions to achieve a more granular level of error handling.

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the first two. Can you tell there was unauthorized access or use of the system Can you undo what was done Data must also be secured. You can secure data by encrypting it, or by keeping it in an otherwise secure data store. An opportune time for encryption is when you re moving data around on the network, or sharing data with partners. Typically, when you re done moving it around, you write it down in a source of persistence that keeps it safe for you, like within a relational database that requires credentials for access. In Table 1-2, we ve outlined security concerns and their solutions in .NET. Table 1-2. Security Concerns and .NET Solutions

> names.[1];; val it : string = "Sophie" > names.[2];; val it : string = "Jane" Resizable arrays use an underlying array for storage and support constant-time randomaccess lookup. This makes a resizable array more efficient than an F# list in many situations, which supports efficient access only from the head (left) of the list. You can find the full set of members supported by this type in the .NET documentation. Commonly used properties and members include Add, Count, ConvertAll, Insert, BinarySearch, and ToArray. A module ResizeArray is included in the F# library that provides operations over this type in the style of the other F# collections. Like other .NET collections, values of type ResizeArray<'a> support the seq<'a> interface. There is also an overload of the new constructor for this collection type that lets you specify initial values via a seq<'a>. This means you can create and consume instances of this collection type using sequence expressions: > let squares = new ResizeArray<int>(seq { for i in 0 .. 100 -> i*i });; val squares : ResizeArray<int> = [0; 1; 4; 9; ...] > for x in squares do printfn "square: %d" x;; square: 0 square: 1 square: 4 square: 9 ...

Static SQL in PL/SQL is SQL that is embedded in your code and hence is known to the PL/SQL engine at compile time. Dynamic SQL in PL/SQL is SQL in which the SQL statement and its bind value placeholders are contained in a string and are not known to the PL/SQL engine at compile time. For example, the procedure static_proc uses static SQL to count the number of records in table t1: benchmark@ORA10G> create or replace procedure static_proc( p_count in out number ) 2 is 3 begin 4 select count(*) 5 into p_count 6 from t1 static; 7 end; 8 / Procedure created. And the procedure dynamic_proc does the same thing using dynamic SQL: benchmark@ORA10G> create or replace procedure dynamic_proc( p_count in out number ) 2 is 3 begin 4 execute immediate 'select count(*) from t1 dynamic ' into p_count; 5 end; 6 / Procedure created. When you have a choice between using static SQL and dynamic SQL, you should use static SQL. Static SQL tends to be faster, as shown by the following benchmark run: benchmark@ORA10G> declare 2 l_count number; 3 begin 4 begin 5 runstats_pkg.rs_start; 6 end; 7 for i in 1..1000 8 loop 9 static_proc( l_count ); 10 end loop; 11 begin 12 runstats_pkg.rs_middle; 13 end; 14 for i in 1..1000 15 loop 16 dynamic_proc( l_count ); 17 end loop;

Windows (Kerberos/ NTLM) ASP .NET Forms-based security Active Directory IIS Passport Windows role-based security custom roles in ASP.NET code access security Secure Sockets Layer (SSL) Certificate Server, Encryption library in the Framework class library IIS logs SQL Server logs and backups NT application logs traceability E2E instrumentation (future) Security Policy Groups NT application logs Windows integrated security Impersonation Active Directory others.