Commit for every 1000 records in Insert into select statment

Question

Hi I've the following INSERT into SELECT statement .
The SELECT statement (which has joins ) has around 6 crores fo data . I need to insert that data into another table.
Please suggest me the best way to do that .
I'm using the INSERT into SELECT statement , but i want to use commit statement for every 1000 records .
How can i achieve this ..
insert into emp_dept_master
select e.ename ,d.dname ,e.empno ,e.empno ,e.sal
   from emp e , dept d
  where e.deptno = d.deptno       ------ how to use commit for every 1000 records .Thanks

Answer 1

Smile wrote:
Hi I've the following INSERT into SELECT statement .
The SELECT statement (which has joins ) has around 6 crores fo data . I need to insert that data into another table.Does the another table already have records or its empty?
If its empty then you can drop it and create it as
create your_another_table
as
<your select statement that return 60000000 records>
Please suggest me the best way to do that .
I'm using the INSERT into SELECT statement , but i want to use commit statement for every 1000 records .That is not the best way. Frequent commit may lead to ORA-1555 error
[url http://asktom.oracle.com/pls/apex/f?p=100:11:0::::P11_QUESTION_ID:275215756923]A nice artical from ASKTOM on this one
How can i achieve this ..
insert into emp_dept_master
select e.ename ,d.dname ,e.empno ,e.empno ,e.sal
from emp e , dept d
where e.deptno = d.deptno       ------ how to use commit for every 1000 records .
It depends on the reason behind you wanting to split your transaction into small chunks. Most of the time there is no good reason for that.
If you are tying to imporve performance by doing so then you are wrong it will only degrade the performance.
To improve the performance you can use APPEND hint in insert, you can try PARALLEL DML and If you are in 11g and above you can use [url http://docs.oracle.com/cd/E11882_01/appdev.112/e25788/d_parallel_ex.htm#CHDIJACH]DBMS_PARALLEL_EXECUTE to break your insert into chunks and run it in parallel.
So if you can tell the actual objective we could offer some help.