[8i] Query with lots of subqueries: a simpler way to do this query?
Ok, so generally, my problem is that I can't figure out how to write this query without including a bunch of copies of the same subquery (similar to having to join multiple copies of a table). Basically, I have to get information that's in rows in one table into columns in the results of my query. I've created sample tables, with insert statements for sample data, and a trimmed-down version of the query I'm running against those (2) tables. I'll explain what I mean by "trimmed-down" where I provide the SQL for that query.
My restrictions:
1) I'm running in 8i
2) I cannot create any tables in the database (I can only do read-only queries and create views).
Here are my sample tables and sample data:
CREATE TABLE reqs
( req_id NUMBER NOT NULL,
part_no VARCHAR2(5),
req_date DATE,
req_qty NUMBER,
CONSTRAINT reqs_pk PRIMARY KEY (req_id)
INSERT INTO reqs
VALUES (1,'part1',To_Date('01/01/2010','mm/dd/yyyy'),5);
INSERT INTO reqs
VALUES (2,'part2',To_Date('01/10/2010','mm/dd/yyyy'),25);
INSERT INTO reqs
VALUES (3,'part1',To_Date('01/20/2010','mm/dd/yyyy'),3);
INSERT INTO reqs
VALUES (4,'part2',To_Date('02/01/2010','mm/dd/yyyy'),15);
INSERT INTO reqs
VALUES (5,'other',To_Date('02/05/2010','mm/dd/yyyy'),1);
INSERT INTO reqs
VALUES (6,'part1',To_Date('02/07/2010','mm/dd/yyyy'),10);
INSERT INTO reqs
VALUES (7,'part3',To_Date('02/25/2010','mm/dd/yyyy'),22);
INSERT INTO reqs
VALUES (8,'part1',To_Date('03/01/2010','mm/dd/yyyy'),24);
INSERT INTO reqs
VALUES (9,'part3',To_Date('04/01/2010','mm/dd/yyyy'),12);
CREATE TABLE part
( part_no VARCHAR2(5) NOT NULL,
part_desc VARCHAR2(25),
qty_instock NUMBER,
CONSTRAINT part_pk PRIMARY KEY (part_no)
INSERT INTO part
VALUES ('part1','description 1 here',5);
INSERT INTO part
VALUES ('part2','description 2 here',10);
INSERT INTO part
VALUES ('part3','description 3 here',0);Now, here is the query I'm running against the two tables:
SELECT part.part_no
, part.part_desc
, part.qty_instock
, pd.tot_req_qty AS qty_past_due
, m1.tot_req_qty AS qty_this_month
, m2.tot_req_qty AS qty_next_month
, m3.tot_req_qty AS qty_month_3
FROM part
SELECT reqs.part_no
, SUM(reqs.req_qty) AS tot_req_qty
, CASE
WHEN reqs.req_date < sysdate
THEN 'Past Due'
ELSE To_Char(reqs.req_date,'MON-yyyy')
END AS month_reqd
FROM reqs
GROUP BY reqs.part_no
, CASE
WHEN reqs.req_date < sysdate
THEN 'Past Due'
ELSE To_Char(reqs.req_date,'MON-yyyy')
END
) pd --for past due
SELECT reqs.part_no
, SUM(reqs.req_qty) AS tot_req_qty
, CASE
WHEN reqs.req_date < sysdate
THEN 'Past Due'
ELSE To_Char(reqs.req_date,'MON-yyyy')
END AS month_reqd
FROM reqs
GROUP BY reqs.part_no
, CASE
WHEN reqs.req_date < sysdate
THEN 'Past Due'
ELSE To_Char(reqs.req_date,'MON-yyyy')
END
) m1 --for month 1
SELECT reqs.part_no
, SUM(reqs.req_qty) AS tot_req_qty
, CASE
WHEN reqs.req_date < sysdate
THEN 'Past Due'
ELSE To_Char(reqs.req_date,'MON-yyyy')
END AS month_reqd
FROM reqs
GROUP BY reqs.part_no
, CASE
WHEN reqs.req_date < sysdate
THEN 'Past Due'
ELSE To_Char(reqs.req_date,'MON-yyyy')
END
) m2 --for month 2
SELECT reqs.part_no
, SUM(reqs.req_qty) AS tot_req_qty
, CASE
WHEN reqs.req_date < sysdate
THEN 'Past Due'
ELSE To_Char(reqs.req_date,'MON-yyyy')
END AS month_reqd
FROM reqs
GROUP BY reqs.part_no
, CASE
WHEN reqs.req_date < sysdate
THEN 'Past Due'
ELSE To_Char(reqs.req_date,'MON-yyyy')
END
) m3 --for month 3
WHERE part.part_no = pd.part_no
AND pd.part_no = m1.part_no
AND m1.part_no = m2.part_no
AND m2.part_no = m3.part_no
AND pd.month_reqd = 'Past Due'
AND m1.month_reqd = To_Char(Add_Months(sysdate,1),'MON-yyyy')
AND m2.month_reqd = To_Char(Add_Months(sysdate,2),'MON-yyyy')
AND m3.month_reqd = To_Char(Add_Months(sysdate,3),'MON-yyyy')
ORDER BY part.part_noThe sample query above only gets 3 months worth of my tot_req_qty for each part number, which equals 3 (+1 for past due) copies of the subquery. This is how this query is "trimmed down" from my actual query; in my real query, I need to include at least 6 months (up to 12 months) of my tot_req_qty for each part number--which means 6-12 (+1) copies of the subquery...ick. I just can't imagine that being an efficient way to get this done.
Here's a table of the results I expect to get from my sample query:
PART_NO PART_DESC QTY_INSTOCK QTY_PAST_DUE QTY_THIS_MONTH QTY_NEXT_MONTH QTY_MONTH_3
part1 description 1 here 5 8 10 24 0
part2 description 2 here 10 40 0 0 0
part3 description 3 here 0 0 22 0 12Is there anything I can do differently here?
Thanks!!
Edited by: user11033437 on Feb 4, 2010 11:53 AM Fixed a typo
Edited by: user11033437 on Feb 4, 2010 12:08 PM Fixed another typo
Hi,
Instead of doing self-joins, you can pivot one result set.
Since it's just one result set, you can use an in-line view for it:
SELECT part.part_no
, part.part_desc
, part.qty_instock
, SUM ( CASE WHEN m.month_reqd = 'Past Due'
THEN m.tot_req_qty
ELSE 0
END
) AS qty_past_due
, SUM ( CASE WHEN m.month_reqd = To_Char(sysdate,'MON-yyyy')
THEN m.tot_req_qty
ELSE 0
END
) AS qty_this_month
, SUM ( CASE WHEN m.month_reqd = To_Char(Add_Months(sysdate, 1),'MON-yyyy')
THEN m.tot_req_qty
ELSE 0
END
) AS qty_next_month
, SUM ( CASE WHEN m.month_reqd = To_Char(Add_Months(sysdate, 2),'MON-yyyy')
THEN m.tot_req_qty
ELSE 0
END
) AS qty_month_3
FROM part
, ( -- Begin in-line view m
SELECT part_no
, SUM (req_qty) AS tot_req_qty
, month_reqd
FROM ( -- Begin in-line view rd
SELECT part_no
, req_qty
, CASE
WHEN req_date < sysdate
THEN 'Past Due'
ELSE To_Char(req_date,'MON-yyyy')
END AS month_reqd
FROM reqs
WHERE req_date < TRUNC ( ADD_MONTHS (SYSDATE, 3)
, 'MONTH'
) rd -- End in-line view rd
GROUP BY part_no
, month_reqd
) m -- End in-line view m
WHERE part.part_no = m.part_no
GROUP BY part.part_no
, part.part_desc
, part.qty_instock
ORDER BY part.part_no
;Notice I used a nested in-line view to compute month_reqd, rather than repeat the CASE expression. That's independent of the pivot: you can do either one with or without the other.
Thanks for posting the CREATE TABLE and INSERT statements!
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Is there an easier/simpler way of obtaining this result ?
Good morning (afternoon to you, BluShadow),
I obtained the following correct, as desired, output (derived from the EMP table):
D10 D20 D30 PREZ MGRS ANALS SALESM CLERKS
CLARK JONES WARD KING BLAKE FORD ALLEN ADAMS
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with
-- pivoted departments (haven't studied the Oracle PIVOT clause yet)
depts as
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when 10 then ename
end) as d10,
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max(case deptno
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rnd
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ename,
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jobs as
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end) as Mgrs,
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end) as Anals,
max(case job
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end) as SalesM,
rnj
from (
select job,
ename,
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order by ename) as rnj
from emp
group by rnj
order by rnj
select d10,
d20,
d30,
Prez,
Mgrs,
Anals,
SalesM,
Clerks
from depts a full outer join jobs b
on a.rnd = b.rnj
order by rnj, rnd;which takes a total of 5 selects to get there.
I was trying to find a query that would be, hopefully simpler, easier and didn't require as many selects. My last attempt is the following (which is close to the desired result but doesn't get a cigar yet):
select case deptno
when 10 then ename
end as d10,
case deptno
when 20 then ename
end as d20,
case deptno
when 30 then ename
end as d30,
case job
when 'CLERK' then ename
end as Clerks,
case job
when 'PRESIDENT' then ename
end as Prez,
case job
when 'MANAGER' then ename
end as Mgrs,
case job
when 'ANALYST' then ename
end as Anals,
case job
when 'SALESMAN' then ename
end as SalesM,
row_number() over (partition by deptno
order by deptno) as rnd,
row_number() over (partition by job
order by ename) as rnj
from emp
order by rnj;The above query gets me to this result which is encouraging but... short of the mark:
D10 D20 D30 CLERKS PREZ MGRS ANALS SALESM RND RNJ
ALLEN ALLEN 3 1
ADAMS ADAMS 2 1
BLAKE BLAKE 6 1
KING KING 2 1
FORD FORD 1 1
SCOTT SCOTT 5 2
JAMES JAMES 5 2
CLARK CLARK 3 2
MARTIN MARTIN 2 2
TURNER TURNER 1 3
MILLER MILLER 1 3
D10 D20 D30 CLERKS PREZ MGRS ANALS SALESM RND RNJ
JONES JONES 3 3
WARD WARD 4 4
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Your help is welcome and appreciated,
John.
PS: I'll be perfectly happy learning that there is no easier/simpler way. In other words, if the answer is simply "No, there is no simpler/easier way", please do let me know that is the case. (I ask that you be fairly sure of that though, thank you)
Edited by: 440bx - 11gR2 on Jul 25, 2010 7:19 AM - Added PS.Hi, John,
You had part of the solution in each of your attempts.
Do a FULL OUTER JOIN, as in your first query, on two copies of the result set of your second query.
Using Oracle 9 features only:
WITH got_row_numbers AS
select case WHEN deptno = 10 then ename end as d10,
case WHEN deptno = 20 then ename end as d20,
case WHEN deptno = 30 then ename end as d30,
case WHEN job = 'CLERK' then ename end as Clerks,
case WHEN job = 'PRESIDENT' then ename end as Prez,
case WHEN job = 'MANAGER' then ename end as Mgrs,
case WHEN job = 'ANALYST' then ename end as Anals,
case WHEN job = 'SALESMAN' then ename end as SalesM,
row_number () over ( partition by deptno
order by NULL
) as rnd,
row_number () over ( partition by job
order by ename
) as rnj
from emp
SELECT MIN (d.d10) AS d10
, MIN (d.d20) AS d20
, MIN (d.d30) AS d30
, MIN (j.clerks) AS clerks
, MIN (j.prez) AS prez
, MIN (j.mgrs) AS mgrs
, MIN (j.anals) AS anals
-- , MIN (j.salesm) AS salesm
FROM got_row_numbers d
FULL OUTER JOIN got_row_numbers j ON d.rnd = j.rnj
GROUP BY NVL (d.rnd, j.rnj)
ORDER BY NVL (d.rnd, j.rnj)
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