Shouldn't be using WITH return the same results as if you would first put the results in a table?

First of all, here is my version info:

BANNER

--------------------------------------------------------------------------------

Oracle Database 11 g Enterprise Edition Release 11.1.0.7.0 - 64 bit Production

PL/SQL Release 11.1.0.7.0 - Production

CORE Production 11.1.0.7.0

AMT for HP - UX: 11.1.0.7.0 - Production Version

NLSRTL Version 11.1.0.7.0 - Production

I just re-read the documentation of the subquery factoring clause of select again and I saw no restriction that applies.

Can someone help me understand why I get different results? I would like to be able to use the statement that creates spades3, but for some reason it does not work. However, when I break up and store the last subquery TMP in a table (MAT1), I am able to get the expected results in MAT2.

Sorry if the example seems a bit esoteric. I tried to put something together to help illustrate another problem, so it was more convenient to use the same instructions to illustrate this problem.

drop table mat1;
create table mat1 as
with skus as (
  select level as sku_id
  from dual
  connect by level <= 1000
  ),
  tran_dates as (
  select to_date('20130731', 'yyyymmdd') + level as tran_date
  from dual
  connect by level <= 31
  ),
  sku_dates as (
  select s.sku_id,
  t.tran_date,
  case when dbms_random.value * 5 < 4
  then 0
  else 1
  end as has_changes,
  round(dbms_random.value * 10000, 2) as unit_cost
  from skus s
  inner join tran_dates t
  on 1 = 1
  )
select d.sku_id,
  d.tran_date,
  d.unit_cost
  from sku_dates d
  where d.has_changes = 1
;


drop table mat2;
create table mat2 as
select m.sku_id,
  m.tran_date,
  m.unit_cost,
  min(m.tran_date) over (partition by m.sku_id order by m.tran_date rows between 1 following and 1 following) as next_tran_date
  from mat1 m
;


drop table mat3;
create table mat3 as
with skus as (
  select level as sku_id
  from dual
  connect by level <= 1000
  ),
  tran_dates as (
  select to_date('20130731', 'yyyymmdd') + level as tran_date
  from dual
  connect by level <= 31
  ),
  sku_dates as (
  select s.sku_id,
  t.tran_date,
  case when dbms_random.value * 5 < 4
  then 0
  else 1
  end as has_changes,
  round(dbms_random.value * 10000, 2) as unit_cost
  from skus s
  inner join tran_dates t
  on 1 = 1
  ),
  tmp as (
  select d.sku_id,
  d.tran_date,
  d.unit_cost
  from sku_dates d
  where d.has_changes = 1
  )
select m.sku_id,
  m.tran_date,
  m.unit_cost,
  min(m.tran_date) over (partition by m.sku_id order by m.tran_date rows between 1 following and 1 following) as next_tran_date
  from tmp m
;


select count(*) from mat2;
select count(*) from mat3;


  from tmp m
;

select count(*) from mat2;
select count(*) from mat3;

Select count (*) from mat2;

COUNT (*)

----------

31000

Executed in 0,046 seconds

Select count (*) in spades3;

COUNT (*)

----------

Executed by 0,031 seconds

Hello

Khaled says:

The problem is with

-case when dbms_random.value * 5<>

You can change this

dbms_random. Value (1,100) * 5<>

and test

I don't know that I agree 100% with your police department, work there.

dbms_random. Value, no arguments, returns a random number between 0 (inclusive) and 1 (exclusive), so

dbms_random. Value * 5< 4 ="" will="" be="" true="" about="" 80%="" of="" the="">

dbms_randon. Value (1, 100) returns a random number between 1 (included) and 100 (exclusive), so

dbms_random. Value (1, 100) * 5< 4="" will="" be="" true="" exactly="" 0%="" of="" the="" time,="" which="" is="" not="" what="" op="" wants="" at="">

The problem here apparently revolves around the optimizer not really call dbms_random over and over again in sku_dates of the subquery. Add ROWNUM in the subquery seems to force Oracle to assess dbms_random.value immediately. I don't really understand myself, but adding 1 element in the SELECT of the sku_dates subquery clause could solve the problem:

create table spades3 as

with references like)

Select the level as sku_id

of the double

connect by level<=>

),

tran_dates like)

Select the level + to_date ('20130731', 'YYYYMMDD') as tran_date

of the double

connect by level<=>

),

sku_dates like)

Select s.sku_id,

t.tran_date,

-case when dbms_random.value * 5<>

then 0

1 other

end as has_changes,

Round (dbms_random.value * 10000, 2) as unit_cost

ROWNUM AS r-<=== new="" column="" added="" here="" new="" column="" added="">

s SKUs

inner join tran_dates t

1 = 1

tmp as)

Select d.sku_id,

d.tran_date,

d.unit_cost

of sku_dates d

where d.has_changes = 1

)

Select m.sku_id,

m.tran_date,

m.unit_cost,

min (m.tran_date) over (partition by order of m.sku_id by m.tran_date rows between 1 next and 1 suite) as next_tran_date

of tmp m

;

You do not have to refer to this column anywhere; just having him in the subquery is enough.

If someone can't understand why, I know it.

Tags: Database

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```
with data as
(
select 1111111 as id, 'a' as col2, to_date('01-JAN-09','dd-mon-yyyy') as the_date from dual union all
select 2222222 as id, 'b' as col2, to_date('02-JAN-09','dd-mon-yyyy') as the_date from dual union all
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select 3333333 as id, 'f' as col2, to_date('05-JAN-09','dd-mon-yyyy') as the_date from dual
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---------------------- ---- -------------------------
1111111                a    01-JAN-09
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```
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