Treatment performance tree

I have a performance problem in Oracle 9i, when you try to filter in a tree hierarchy. I guess it's because of my limited understanding of the manipulation of the data sets.
The ideas are greatly appreciated.

Here's the business problem:

Identify each tree which has a member with information on sales, but no billing information, where a member at a lower level has your billing information, but no information of sales.

Here is the abstract data schema:

T table contains one row for each Member of the tree. There is a column to indicate whether the Member is the root of the tree, the name of the Member, the Member id and the id of the parent of the Member.

Table S contains information on sales and contains a foreign key to a member id T

Table B contains billing information and has a foreign key to a member in T id

I can recover trees of T as follows:

Root of REPLACE (SYS_CONNECT_BY_PATH (DECODE(LEVEL,1,T.id),'~ '),'~ ') SELECT as.
T.ID,
T.Nom,
Depth LEVEL
T
START WITH T.root_ind = TRUE
CONNECT BY PRIOR T.id = T.parent_id
AND T.parent_id <>T.id - root parent_id is auto

I can use a construction WITH to find permanent members with details S and no details of B, and it is ok:

WITH the tree AS
(Root of SELECT REPLACE (SYS_CONNECT_BY_PATH (DECODE(LEVEL,1,T.id),'~ '),'~ '))
T.ID,
T.Nom,
Depth LEVEL
T
START WITH T.root_ind = TRUE
CONNECT BY PRIOR T.id = T.parent_id
T.parent_id AND <>T.id - root parent_id is auto)
SELECT tree1.root, tree1.id, tree1.name, tree1.depth
Trees, tree1
WHERE THERE ARE
(SELECT 1
S s1
WHERE s1.t_id = tree1.id)
AND NOT EXISTS
(SELECT 1
B B1
WHERE b1.t_id = tree1.id)

However, the performance of tanks when I try to add the following condition to limit the results to members who have a member at a lower level in the tree that has info B but not S Info:

AND THERE ARE
(SELECT 1
TREE tree2
WHERE tree2.root = tree1.root
AND tree2.depth > tree1.depth
AND THERE ARE
(SELECT 1
B B2
WHERE b2.t_id = tree2.id)
AND NOT EXISTS
(SELECT 1
S s2
WHERE s2.t_id = tree2.id))

Hello

First of all, let me clarify the problem. Sindou this data:

t.id  t.parent.id100   100  -- root110   100  -- 110 has Sales, but no Billing120   100121   120  -- 121 Has Billing, but no Sales

You want to select all the lines, because they belong to a tree that has
(1) a member (id = 110, LEVEL = 2) with sales and no billing, and
(2) another Member (id = 121, LEVEL = 3) with billing but no sales, at a higher level.
It does not matter that 110 is not an ancestor of 121; all that matters is that thery are in the same tree and that 110 is closer to the root than 121.
Also, you don't need to know which nodes meet the conditions, exactly what made some nodes in the tree.

Here are two things you could try, separately or together:
(1) instead of a normal request from top to bottom (where you start with the roots and working your way down the tree to help 'CONNECT BY PRIOR id = parent_id'), do a query from the bottom up, i.e. start with the id that meet specific conditions (like sales but no billing) and work your way up the tree using "id CONNECTION is parent_id PREREQUISITE."
(2) instead of working directly with the table t, working with a view that has the relevant information of t, as well as the id possesses or billing data, and it has or not sales data.

What version of Oracle are you using?

If you describe table t a little more, I can try to re-create the problem.
How many rows in table t?
What percentage have given billing?
What is the percentage of sales have made?
How many roots is t?
What is the average number of children per node, or what the average level of a node?

Tags: Database

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    Java (2015-11-03) [Support]

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