appending to cursor in oracle

I asked a question yesterday which got answers but didnt answer the main point. I wanted to reduce amount of time it took to do a MINUS operation.

Now, I'm thinking about doing MINUS operation in blocks of 5000,开发者_开发知识库 appending each iterations results to the cursor and finally returning the cursor. I have following:

V_CNT           NUMBER :=0;
V_INTERVAL      NUMBER := 5000;

begin
  select count(1) into v_cnt from TABLE_1
while (v_cnt > 0)
loop
open cv_1 for
    SELECT  A.HEAD,A.EFFECTIVE_DATE,
    FROM   TABLE_1 A
    WHERE  A.TYPE_OF_ACTION='6' AND A.EFFECTIVE_DATE >= ADD_MONTHS(SYSDATE,-15)  
    AND A.ROWNUM <= V_INTERVAL
    MINUS
    SELECT  B.head,B.EFFECTIVE_DATE,
    FROM  TABLE_2 B
    AND B.ROWNUM <= V_INTERVAL

V_CNT := V_CNT - V_INTERVAL;
END LOOP; 
end;

However, as you see...in each iteration the cursor is overwritten. How can I change the code so that in each iteration it appends to cv_1 cursor rather than overwriting?

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You haven't stated the requirement clearly. So , i am assuming , you want to do a MINUS on two tables, A and B. i.e you want to find tuples in A that are not in B.

Assuming this , the logic that you have written is not completely correct, as you are doing a MINUS on corresponding (5000-length) batches of A and B.

Eg: Your logic will return a tuple in the 4000th row in table A, that is present in say the 6000th row of table B.

I suggest you use left-outer join to accomplish your need. (Same as Peter Lang's post). That should suffice for your performance requirements too, I think.

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That's not how cursors work, you would have to store the values in some sort of collection.

Your current query gets you 5000 random rows from Table_1 and removes rows that also exist in 5000 random rows selected from Table_2.

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Have you tried doing it without the MINUS?

As I understand the query, it should produce the same as this one:

Select  a.head, a.effective_date,
From table_1 a
Left Join table_2 b On (b.head = a.head And b.effective_date = a.effective_date )
Where a.type_of_action='6' And a.effective_date >= ADD_MONTHS(SYSDATE,-15)  
  And b.head Is Null;

Having a compound index on TABLE_1 (type_of_action, head, effective_date) and on TABLE_2 (head, effective_date) should help you with performance.