Actually, we have many procedures that use the FORALL syntax. And, yes I am
the guy that tested the difference between the Java code sending a bulk
insert v.s., using PL/SQL FORALL. And Yes, there was a significant (10-25%)
improvement when using PL/SQL. The code was as close as we could get it.

I'll agree that the code isn't simple (it was a b*&%#) or concise but we
were after performance.

-----Original Message-----
Sent: Tuesday, January 15, 2002 2:05 PM
To: Multiple recipients of list ORACLE-L


They are possible, all right, with forall statement
and/or with passing an array as a parameter. How many
of your procedures do actually use that feature? Are you sure
that the guy who has tested the difference between prepared
SQL and PL/SQL procedure has done the necessary coding in order 
to compare apples to apples. 
Second, do not confuse array binds with passing an array.
To pass an array, you have to define a type, define parameter 
of that type and pass the array as an object type. Not very intuitive
or simple. 

-----Original Message-----
Sent: Tuesday, January 15, 2002 12:40 PM
To: Multiple recipients of list ORACLE-L


You must be using Oracle 8.0 or earlier. Bulk/array binds are possible in
PL/SQL (stored procedures) starting with Oracle 8i

-----Original Message-----
Sent: Tuesday, January 15, 2002 11:40 AM
To: Multiple recipients of list ORACLE-L


The reason for that is the fact that with prepared statements you 
can do array binds while that isn't possible with the stored procedures.
I don't like this kind of comparisons. I judge on case by case basis.


-----Original Message-----
Sent: Tuesday, January 15, 2002 10:55 AM
To: Multiple recipients of list ORACLE-L


We have done some preliminary testing and found prepared statements about
20% faster than stored procedures. We inserted 200,000 records at a time
(28-50 columns in a table ) using stored procedures and then used prepared
statements for the same dataset. Both of them were called from java using
JDBC thin drivers and interestingly found prepared statements faster.
Similarly, deletes were also about 15%-20% faster using prepared statements.
For some reasons, updates to the same tables gave almost identical
performance.

Rakesh

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