Insert simple problem.

Hello
I had a simple insert that throws the error on line 9 below
 values      ( & emp_id  ,&emp_name );
PL/SQL: ORA-00936: missing expression
create or replace procedure emp_id ( p_test_input in varchar2 )
as
  emp_id number;
emp_name varchar2(20);
manager_id
begin
   if ( upper ( p_test_input ) = 'I' )
   then
      insert into emp
      values      ( & emp_id  ,&emp_name ,&Manager_id,sysdate );
   elsif ( upper ( p_test_input ) = 'D' )
   then
      delete from emp
      where       emp_id  = &emp_id;
   else
      dbms_output.put_line
         ( 'Please input ''A'' for ADD or ''D'' Delete  EMPLOYEE'
         );
   end if;
end;

Hello

Rede says:
Sudhakar,

Thank you.

But I ihave to pass all variables as parameters when calling a stored procedure?

# If you give default values to arguments, then you can choose do not pass them on.
For example:

create or replace procedure     emp_id
( p_test_input      in      varchar2
, p_emp_id     in     NUMBER     DEFAULT 1
, p_mgr_id     in     NUMBER     DEFAULT NULL
)
IS ...

You can call the procedure with 1, 2 or 3 arguments:

emp_id ('D');
emp_id ('I', 9876);
emp_id ('I', 9876, 9999);

The calls above are equivalent to the calls below, in order:

emp_id ('D', 1, NULL);
emp_id ('I', 9876, NULL);
emp_id ('I', 9876, 9999);

In this case if the user wants to delete only the operation he might know only remove emp_id not all information as emp_name, manager_id which are not null fields.

You can have two separate procedures: one for INTEGRATION and another to REMOVE.
Assuming that there is a good reason for having just a procedure, i.e. once when you call the procedure with an argument.

And also some we know only insertion of a PGE values and we cannot not simple pass null as a parameter to remove the condition.

Sorry, I don't understand this sentence.

Tags: Database

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    string commit_write
    common_user_prefix string C#.
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    Thanks in advance

    Firstly, thank you for posting the 10g implementation plan, which was one of the key things that we were missing.

    Second, you realize that you have completely different execution plans, so you can expect different behavior on each system.

    Your package of 10g has a total cost of 23 959 while your plan of 12 c has a cost of 95 373 which is almost 4 times more.  All things being equal, cost is supposed to relate directly to the time spent, so I expect the 12 c plan to take much more time to run.

    From what I can see the 10g plan begins with a scan of full table on DEALERS, and then a full scan on SCARF_VEHICLE_EXCLUSIONS table, and then a full scan on CBX_tlemsani_2000tje table, and then a full scan on CLAIM_FACTS table.  The first three of these analyses tables have a very low cost (2 each), while the last has a huge cost of 172K.  Yet once again, the first three scans produce very few lines in 10g, less than 1,000 lines each, while the last product table scan 454 K lines.

    It also looks that something has gone wrong in the 10g optimizer plan - maybe a bug, which I consider that Jonathan Lewis commented.  Despite the full table scan with a cost of 172 K, NESTED LOOPS it is part of the only has a cost of 23 949 or 24 K.  If the math is not in terms of 10g.  In other words, maybe it's not really optimal plan because 10g optimizer may have got its sums wrong and 12 c might make his right to the money.  But luckily this 'imperfect' 10g plan happens to run fairly fast for one reason or another.

    The plan of 12 starts with similar table scans but in a different order.  The main difference is that instead of a full table on CLAIM_FACTS scan, it did an analysis of index on CLAIM_FACTS_AK9 beach at the price of 95 366.  It is the only main component of the final total cost of 95 373.

    Suggestions for what to do?  It is difficult, because there is clearly an anomaly in the system of 10g to have produced the particular execution plan that he uses.  And there is other information that you have not provided - see later.

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    Remember what I said in my last reply:

    "Without any contrary information I guess the filter conditions are very low, the optimizer believes he needs of most of the data in the table and that a table scan or even a limited index scan complete is the"best"way to run this SQL.  In other words, your query takes just time because your tables are big and your application has most of the data in these tables. "

    When dealing with very large tables and to do a full table parallel analysis on them, the most important factor is the amount of raw hardware, you throw the ball to her.  A system with twice the number of CPUS and twice the number of disks will run the same parallel query in half of the time, at least.  It could be that the main reason for the 12 c system is much slower than the system of 10g, rather than on the implementation plan itself.

    You may also provide us with the following information which would allow a better analysis:

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    • The discs are very important - 10g and 12 c have similar disk subsystems?  You use simple old records, or you have a San, or some sort of disk array?  Are the bays of identical drives in both systems?  How are they connected?  Fast Fibre Channel, or something else?  Maybe even network storage?
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    INSERT INTO source_data VALUES (1, TO_DATE('20120303', 'YYYYMMDD'));
    
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      COUNT_DATE       DATE
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