How to compare parent child data in SQL

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How to compare parent child data in SQL

AhmetEmre90

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Points: 185
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February 20, 2013 at 6:03 am

#274359

Hi;
I have two SQL tables like below;
T1: relationID, meterID, parentID, childID
T2: dataID, meterID, date, amount
Sample data of tables;
T1 T2
----------------- -------------------------
1 | 1 | null | 2 * 1 | 1 | 01,01,2013 | 100 *
2 | 1 | null | 3 * 2 | 2 | 01,01,2013 | 60 *
3 | 2 | 1 | 4 3 | 3 | 01,01,2013 | 40 *
4 | 2 | 1 | 5 4 | 4 | 01,01,2013 | 35
5 | 3 | 1 | 6 5 | 5 | 01,01,2013 | 25
6 | 3 | 1 | 7 6 | 6 | 01,01,2013 | 15
7 | 4 | 2 | null 7 | 7 | 01,01,2013 | 25
8 | 5 | 2 | null
9 | 6 | 3 | null
10 | 7 | 3 | null
I want to compare if the sum of the children's amount is equal to parent's amount.
For example; meter1 is parent of meter2 and meter3 (lines with *). I want to check if 100 = 60 + 40.
How can i do this with SQL query.
You can see the relation between the meters at the image below.
Sorry for my poor English.

Viewing 6 posts - 1 through 5 (of 5 total)

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asiaindian SSCrazy Points: 2493 More actions · Answer 1

Here is the raw form of the query using CTE's. Please tweak it to suit your requirement....I hope this helps

;WITH tblCTE_1

AS

(

SELECT T2.MeterID AS CMeterID, T1.MeterID AS PMeterID, Amount

FROM dbo.T2

LEFT JOIN dbo.T1

ON T2.MeterID = T1.ChildID

),

tblCTE_2 AS

(

SELECT PMeterID, SUM(Amount) AS Amount

FROM tblCTE_1

GROUP BY PMeterID

)

SELECT C1.CMeterID AS MeterID

FROM tblCTE_1 C1

INNER JOIN tblCTE_2 C2

ON C1.CMeterID = C2.PMeterID

WHERE C2.PMeterID IS NOT NULL

AND C1.Amount = C2.Amount -- C1.Amount <> C2.Amount -- in case you want those ID's whose SUM(Amount) do not match

Jeff Moden SSC Guru Points: 1004412 More actions · Answer 2

AhmetEmre90 (2/20/2013)
Hi;
I have two SQL tables like below;
T1: relationID, meterID, parentID, childID
T2: dataID, meterID, date, amount
Sample data of tables;
T1 T2
----------------- -------------------------
1 | 1 | null | 2 * 1 | 1 | 01,01,2013 | 100 *
2 | 1 | null | 3 * 2 | 2 | 01,01,2013 | 60 *
3 | 2 | 1 | 4 3 | 3 | 01,01,2013 | 40 *
4 | 2 | 1 | 5 4 | 4 | 01,01,2013 | 35
5 | 3 | 1 | 6 5 | 5 | 01,01,2013 | 25
6 | 3 | 1 | 7 6 | 6 | 01,01,2013 | 15
7 | 4 | 2 | null 7 | 7 | 01,01,2013 | 25
8 | 5 | 2 | null
9 | 6 | 3 | null
10 | 7 | 3 | null
I want to compare if the sum of the children's amount is equal to parent's amount.
For example; meter1 is parent of meter2 and meter3 (lines with *). I want to check if 100 = 60 + 40.
How can i do this with SQL query.
You can see the relation between the meters at the image below.
Sorry for my poor English.

I believe that the following article will give you what you want and much more.

http://www.sqlservercentral.com/articles/T-SQL/94570/

--Jeff Moden

RBAR is pronounced "ree-bar" and is a "Modenism" for Row-By-Agonizing-Row.
First step towards the paradigm shift of writing Set Based code:
________Stop thinking about what you want to do to a ROW... think, instead, of what you want to do to a COLUMN.

Change is inevitable... Change for the better is not.

Helpful Links:
How to post code problems
How to Post Performance Problems
Create a Tally Function (fnTally)

Dwain Camps SSC Guru Points: 86978 More actions · Answer 3

A couple of quick points:

1. Since you're a first time poster, you should understand that to get better, faster and more accurate help you should follow the first link in Jeff signature to learn forum etiquette for providing DDL and consumable sample data (like in my first SQL shown below).

2. Jeff's article on Hierarchies on Steroids is incredibly useful for complex hiearchies were a lot of information between nodes must be retained. However I think it may be a bit overkill in this case where all you need to do is sum the children of a parent to one level deep (assuming this is right).

DDL and consumable sample data:

DECLARE @T1 TABLE

(relationID INT, meterID INT, parentID INT, childID INT)

DECLARE @T2 TABLE

(dataID INT, meterID INT, [date] DATE, amount INT)

INSERT INTO @T1

SELECT 1 , 1 , null , 2

UNION ALL SELECT 2 , 1 , null , 3

UNION ALL SELECT 3 , 2 , 1 , 4

UNION ALL SELECT 4 , 2 , 1 , 5

UNION ALL SELECT 5 , 3 , 1 , 6

UNION ALL SELECT 6 , 3 , 1 , 7

UNION ALL SELECT 7 , 4 , 2 , null

UNION ALL SELECT 8 , 5 , 2 , null

UNION ALL SELECT 9 , 6 , 3 , null

UNION ALL SELECT 10 , 7 , 3 , null

INSERT INTO @T2

SELECT 1 , 1 , '2013-01-01' , 100

UNION ALL SELECT 2 , 2 , '2013-01-01' , 60

UNION ALL SELECT 3 , 3 , '2013-01-01' , 40

UNION ALL SELECT 4 , 4 , '2013-01-01' , 35

UNION ALL SELECT 5 , 5 , '2013-01-01' , 25

UNION ALL SELECT 6 , 6 , '2013-01-01' , 15

UNION ALL SELECT 7 , 7 , '2013-01-01' , 25

A possibly simpler solution than the one provided by Mr. AsiaIndian, made possible because you keep all of your child nodes in the relations table:

SELECT a.meterID, b.[date]

,MeterAmt=MAX(b.amount)

,SumOfChildren=SUM(c.amount)

FROM @T1 a

INNER JOIN @T2 b ON a.meterID = b.meterID

LEFT JOIN @T2 c ON a.childID = c.meterID

GROUP BY a.meterID, b.[date]

Change the LEFT JOIN to an INNER JOIN if you don't want leaf nodes displayed in the results.

My mantra: No loops! No CURSORs! No RBAR! Hoo-uh![/I]
My thought question: Have you ever been told that your query runs too fast?

My advice:
INDEXing a poor-performing query is like putting sugar on cat food. Yeah, it probably tastes better but are you sure you want to eat it?
The path of least resistance can be a slippery slope. Take care that fixing your fixes of fixes doesn't snowball and end up costing you more than fixing the root cause would have in the first place.

Need to UNPIVOT? Why not CROSS APPLY VALUES instead?[/url]
Since random numbers are too important to be left to chance, let's generate some![/url]
Learn to understand recursive CTEs by example.[/url]
[url url=http://www.sqlservercentral.com/articles/St

Jeff Moden SSC Guru Points: 1004412 More actions · Answer 4

dwain.c (2/27/2013)
However I think it may be a bit overkill in this case where all you need to do is sum the children of a parent to one level deep (assuming this is right).

If that's all they'll EVER want to do, then I agree. While it’s true that I tend to “over” plan by making such "simple" things bullet proof to scope changes, scale changes, and future requirements, let's hope that the complexity of the doubly-linked (each row has the parent and child listed) hierarchical Adjacency List in T1 isn't the foreboding of more complex requests that I think it will be.