Frmwebutil.jar Question w/ 10g (9.0.4)

All over the Oracle documentation w/ Dev Suite and Webutil configurations it refers to frmwebutil.jar and sometimes f90webutil.jar.
My question is, are we to use both files in various places w/ 10g (version 9.0.4) or use one or the other exclusively?
If we are to use f90webutil.jar then I assume every reference directing us to frmwebutil.jar, we replace w/ f90webutil.jar, including signing the jar files adding to registry, .cfg files, etc...correct?
thank you.

Hello,
using one of them is enough,Oracle Developer Suite 10g Release 2 (10.1.2) uses frmwebutil.jar. and the earlier release uses dev suite f90webutil.jar
I think in your case you can use frmwebutil.jar alone.
Regards
Mohan

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Edited by: user12084131 on 2010-9-20 上午1:46
Edited by: user12084131 on 2010-9-20 上午1:47

Thanks for the reply,
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Rana
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TECHNOLOGY: Security
Keeping Information Private with VPD
By Arup Nanda
Oracle's row-level security gives users their own virtual private databases.
Ensuring appropriate information privacy is a pressing concern for many businesses today, given privacy legislation such as the United States' HIPAA (Health Insurance Portability and Accountability Act), Gramm-Leach-Bliley Act, Sarbanes-Oxley Act, and the EU's Safe Harbour Law. Other privacy mandates, such as Visa's Cardholder Information Security Program (CISP), also require businesses to ensure that access to information is tightly controlled.
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Leave the application intact, creating views with the necessary predicates and creating synonyms with the same name as the table names for these views. This option is better from the perspective of application changes and security, but it can be difficult to administer, because of the potentially large number of views to track and manage.
Create a VPD for each of the AMs by creating policy functions that generate dynamic predicates, which can then be applied across all objects, regardless of how they are accessed, by setting up policies with the row-level-security built-in package (DBMS_RLS).
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Basic Setup for the Example Application
Briefly, here are the basic assumptions about the example bank application:
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Name Null? Type
CUST_ID NOT NULL NUMBER
CUST_NAME NOT NULL VARCHAR2(20)
and an ACCOUNTS table:
Name Null? Type
ACCT_NO NOT NULL NUMBER
CUST_ID NOT NULL NUMBER
BALANCE NUMBER(15,2)
Listing 1 comprises the SQL script for creating and populating these two basic example tables.
User SECMAN (security manager) owns an ACCESS_POLICY table that identifies the AMs and their respective customer accounts:
Name Null? Type
AM_NAME NOT NULL VARCHAR2(20)
CUST_ID NOT NULL NUMBER
ACCESS_TYPE NOT NULL CHAR(1)
The AM_NAME column stores the user ID of the account manager; CUST_ID identifies the customer; and ACCESS_TYPE defines the specific access entitlementS (SELECT), I (INSERT), D (DELETE), or U (UPDATE). Some example records from the ACCESS_POLICY table follow:
AM_NAME CUST_ID ACCESS_TYPE
SCOTT 123 S
SCOTT 123 I
SCOTT 123 D
SCOTT 123 U
SCOTT 456 S
SCOTT 789 S
LARA 456 I
LARA 456 D
LARA 456 U
LARA 456 S
As you can see, SCOTT, the AM for customer 123, has all privilegesS, I, D, and Uas does LARA for customer 456. Also, because SCOTT can confirm account balances for one customer of LARA, he has S privileges on customer 456.
Step 1. Create a Policy Function
The bank's access rules (contained in the ACCESS_POLICY table) must be applied somehow, dynamically, whenever an AM tries to look into customer account information. The first step is to create a policy function that returns the appropriate predicate to be applied to the table. As with the ACCESS_POLICY table, the policy functions are created and controlled by user SECMAN, for security purposes. It's best to keep privacy rules separate from the tables to which they apply.
Let's examine the policy function, get_sel_cust_idshown in Listing 2 in detail:
Accepts exactly two parameters: the schema name (p_schema in varchar2) and the table name (p_table in varchar2)
Returns one value only, a stringreturn varchar2 as l_retstr varchar2(2000);comprising the predicate that will be appended to every query on the table
Uses a cursor routinefor cust_ rec into get the list of values, because each user may have several cust_ids listed in the table
Returns a constructed stringl_retstrto be used as a predicate whenever any user attempts to access the underlying table
The function returns the predicate where cust_id in with the appended list of customer accounts (cust_id), separated by commas, that the user (am_name = USER) is allowed to see.
Note that before entering the loop that builds the list of cust_ids for the user, the code in Listing 2 checks to see if the user is the table owner BANK, in which case the function returns a NULL predicate, as follows:
if (p_schema = user) then
1_retstr := null;
After building this function, you want to make sure it returns the appropriate predicate, by testing some sample data. Connect to the database as SECMAN, and insert some records into the ACCESS_POLICY table, giving SECMAN read privileges on a few sample accounts, as follows:
insert into access_policy values ('SECMAN',123,'S');
insert into access_policy values ('SECMAN',456,'S');
insert into access_policy values ('SECMAN',789,'S');
Now execute the function:
select get_sel_cust_id
('BANK','CUSTOMERS') from dual;
The function returns a string that will be applied as a predicate, as shown in the following sample output:
GET_SEL_CUST_ID('BANK','CUSTOMERS')
CUST_ID IN (123,456,789)
You need to create similar functions for the other types of access. For simplicity's sake, create a single function for all the other access typesUPDATE, DELETE, INSERTas shown in Listing 3. However, note that for a real-world application, each type of access should have its own individual function defined, to ensure appropriate privacy.
The policy function in Listing 3 is nearly identical to the policy function in Listing 2, except that the predicate is further qualified by use of the information from the ACCESS_CONTROL table:
and access_type in ('I', 'U', 'D')
Creating a policy function is just the first step. You now need to ensure that the function will be used, by defining the policy that should control its use in your system.
Step 2. Define a Policy
Policies are defined with the DBMS_RLS package, which is Oracle-supplied. Be aware that the policies themselves are not database objects owned by any user (schema); they are logical constructs. Any user who has the execute privilege on the DBMS_RLS package can modify or drop a policy created by another user. Privileges to DBMS_RLS should be judiciously controlled and granted with caution.
In the following example, user SECMAN is granted execute privileges (by SYS) on the DBMS_RLS package:
grant execute on dbms_rls to secman;
Listing 4 creates a policy named CUST_SEL_POLICY on the table CUSTOMERS of schema BANK. This policy applies the predicate returned by the function GET_SEL_CUST_ID (which is shown in Listing 2) owned by schema SECMAN to all SELECT statements on the table.
Similarly, you place another policy on the table for other access types, as shown in Listing 5. This policy applies to inserts, updates, and deletes in the CUSTOMERS table.
It is almost identical to the SELECT policy, except that this policy includes a check that ensures that the policy will remain compliant even after an update:
update_check => TRUE
Data cannot be added to the table unless it adheres to the policy.
Step 3. Test the Setup
Now that the building blocks are in place, let's see how they work. Connecting as user BANK and issuing a simple select * from customers; query displays the following:
CUST_ID CUST_NAME
123 Jay Kulkarni
456 Wim Patel
These two records are the full contents of the CUSTOMERS table, and both records are shown because BANK owns the table, so the predicate clause is NULLthat is, no predicate is applied. However, when user LARA makes the same query, she sees the following:
select * from customers;
CUST_ID CUST_NAME
456 WIM PATEL
LARA sees only CUST_ID 456, not 123, because that is the row she is authorized to see, as determined by the ACCESS_ POLICY table. Note that the query has no WHERE clause but that the selection from the table is automatically filtered to show only the authorized rows.
If user SCOTT makes the same query, his results are different from the results for LARA: select * from customers;
CUST_ID CUST_NAME
123 Jay Kulkarni
456 Wim Patel
User SCOTT sees both rows, because he is authorized to do so, as shown in the ACCESS_POLICY table. When user LARA issues the query, the policy function get_sel_cust_id returns the predicate where cust_id in (456). Lara's original query select * from customers is rewritten as
select * from
(select * from customers)
where cust_id in (456)
The predicate is automatically appended to the user's original query. The same thing happens when the user updates the table:
SQL> update bank.customers
2 set cust_name = 'PAT TERRY';
1 row updated.
Note that in this example, only one row is updated, even though there are actually two rows in the underlying table. The policy (CUST_IUD_POLICY) appends the predicate where cust_id in (456) to the update statement. Similarly, while the table is being deleted, only the rows for which the user is authorized are deleted.
Attempting to insert a row containing data for which the user is not authorized results in an error message. For example, in this query, LARA is attempting to add a record to the CUSTOMER table for an account not under her purview: Next Steps
READ more about
VPD Oracle9i Supplied PL/SQL Packages and Types Reference
Oracle Privacy Security Auditing
SQL> insert into bank.customers
2 values (789,'KIM PARK');
insert into bank.customers
ERROR at line 1:
ORA-28115: policy with check option
violation
According to the ACCESS_POLICY table, Scott has SELECT privileges on account 789no other privileges for any other AM are listed in the table.
Using policies in conjunction with functions ensures authorized access to specific records of a table. The rules are applied regardless of how the table is accessed, whether through an application or directly through an ad hoc query tool, such as SQL*Plus. Users see only rows for which they have been authorized.
Policies can be applied to multiple tables, and a single policy function can be used by any number of policies. Listing 6 shows a policy on an ACCOUNTS table that uses the get_sel_cust_id function initially created for use with the CUSTOMERS table.
Arup Nanda ([email protected]) is the chief database architect at Proligence Solutions ( Printer View
http://otn.oracle.com/oramag/oracle/04-mar/o24tech_security.html
Joel Pérez
http://otn.oracle.com/experts

External jar question

hi all,
I made a Java application in Eclipse;
in Project - Properties - Build Path - Libraries, I added an external jar to be able to connect to a mysql database.
Now I can execute this application perfectly from Eclipse and on the same machine.
But now I need to put this application on another machine, but when I try to execute the application it gives this error message:
$ java WatchDog
Cannot connect to database serverorg.gjt.mm.mysql.Driver
Exception in thread "main" java.lang.NullPointerException
at Query.truncate(Query.java:304)
at WatchDog.<init>(WatchDog.java:18)
at WatchDog.main(WatchDog.java:131)
I also tried to point to the external jar with the -classpath option like this:
$java -cp "/usr/local/bin/WatchDog/mysql-connector-java-5.0.4/mysql-connector-java-5.0.4-bin.jar" WatchDog
Exception in thread "main" java.lang.NoClassDefFoundError: WatchDog
how can I do this??
grtz
Message was edited by:
dfvdfvdfvxfv

by setting the classpath like that you removed your own classes from the classpath.
Add the directory where those are to be found to the classpath as well.
And of course ALWAYS use packages for your classes.

Frmwebutil.jar Question w/ 10g (9.0.4)

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