I can't find any information on tables referencing themselves in a parent-child relationship. Is it bad practice to have this? Should this be split in two tables for the parent-child relationship? There's a lot more columns in the real table. We are working on cleaning up the old records from this table and it can take a long time to delete a parent with numerous children. This table is used for numerous things throughout our application so a long running delete causes the table to be locked and our application hangs. I don't know that splitting this table will provide any sort of benefits but I am not strong in SQL.
| HistoryItemID |ParentHistoryItemID| Data |
|---------------------|-------------------|-------------------|
| 15 | NULL | Starting Rule 1 |
| 35 | 15 | Subject Processed |
Here is a little working example of using a Recursive CTE to generate a hierarchy via hierarchyID datatype
Example
Declare #YourTable table (HistoryItemID int, ParentHistoryItemID int, Data varchar(50));
Insert Into #YourTable values
( 15, NULL, 'Starting Rule 1'),
( 35, 15, 'Subject Processed'),
( 38, 35, 'Subject 1'),
( 42, 35, 'Subject 2'),
( 17, NULL, 'Starting Rule 2'),
( 55, 17, 'Rule 2 - Subject 1'),
( 56, 17, 'Rule 2 - Subject 2')
;
Declare #Top int = null --<< Sets top of Hier Try 35
;with cteP as (
Select HistoryItemID
,ParentHistoryItemID
,Data
,HierID = convert(hierarchyid,concat('/',HistoryItemID,'/'))
From #YourTable
Where IsNull(#Top,-1) = case when #Top is null then isnull(ParentHistoryItemID ,-1) else HistoryItemID end
Union All
Select ID = r.HistoryItemID
,Pt = r.ParentHistoryItemID
,Data = r.Data
,HierID = convert(hierarchyid,concat(p.HierID.ToString(),r.HistoryItemID,'/'))
From #YourTable r
Join cteP p on r.ParentHistoryItemID = p.HistoryItemID)
Select Lvl = HierID.GetLevel()
,HistoryItemID
,ParentHistoryItemID
,Data = replicate('|----',HierID.GetLevel()-1) + Data -- Nesting Optional ... For Presentation
,HierID_String = HierID.ToString()
From cteP A
Order By A.HierID
Results
If #Top was set to 35
Related
Objective: I need to fully populate a table with a matrix of values for each column by [PropertyId] grouping. Several [PropertyId] have all the necessary values for each column (Table 1), however, many are missing some values (Table 2). Furthermore, not every [PropertyId] needs these values as they have completely different regional values. Therefore, I need to identify which [PropertyId] both need the values populated and don't have all the necessary values.
Examples:
Table 1. Each identified [PropertyId] grouping should have 23 distinct records for these four columns [ReportingVolumeSettingId],[SpeciesGroupInventoryID],[CropCategoryID],[SortOrder].
Table 2. Here is an example of a PropertyID that is missing a value combination as it only has 22 records:
Both of these example results were queried from the same table [ReportingVolume]. I have not been successful in even identifying which record combination per [PropertyID] are missing. I would like to identify each missing record combination and then insert that record combination into the [ReportingVolume] table.
Problem to Solve -- The SQL Code below is my attempt to 1. Identify the correct List of Values; 2. Identify which properties should have matching values; 3. Identify which properties are missing values; 4. Identify the missing values per property.
;with CORRECT_LIST as
(
select
SpeciesGroupInventoryName, SpeciesGroupInventoryId, CropCategoryName,CropCategoryID, UnitOfMeasure, SortOrder
--*
from [GIS].[RST].[vPropertyDefaultTimberProductAndUnitOfMeasure]
where PropertyId in (1)
)
,
property_list as
(
select distinct rvs.propertyid as Volume_Property, pd.PropertyName, pd.PropertyId from RMS.GIS.ReportingVolumeSetting rvs
right outer JOIN RMS.GIS.PropertyDetail AS pd ON rvs.PropertyId = pd.PropertyId
left outer JOIN RMS.GIS.SpeciesGroupInventory AS sgi ON rvs.SpeciesGroupInventoryId = sgi.SpeciesGroupInventoryId
where sgi.SpeciesGroupInventoryId in (1,2,3)
or pd.PropertyId = 171
)
, Partial_LISTS as
(
select Count(distinct ReportingVolumeSettingId) as CNT_REPORT, pd.PropertyName, pd.PropertyId
from [GIS].[ReportingVolumeSetting] rvs
right outer JOIN property_list AS pd ON rvs.PropertyId = pd.PropertyId
group by pd.propertyId, pd.PropertyName
)
, Add_Props as
(
select propertyName, propertyId, SUM(CNT_REPORT) as CNT_RECORDS from Partial_LISTS
where CNT_REPORT < 23
group by propertyName, propertyId
)
, RVS_RECORDS_PROPS as
(
select addProps.PropertyName, rvs.* from [GIS].[ReportingVolumeSetting] rvs
join Add_Props addProps on addprops.PropertyId = rvs.PropertyID
where rvs.PropertyId in (select PropertyId from Add_Props)
)
select rp.PropertyName, cl.*, rp.SpeciesGroupInventoryId from correct_list cl
left outer join RVS_Records_Props rp
on rp.SpeciesGroupInventoryId = cl.SpeciesGroupInventoryId
and rp.CropCategoryId = cl.CropCategoryID
and rp.SortOrder = cl.SortOrder
Order by rp.PropertyName
How can I modify the code or create a new code block identifies the missing values and inserts them into the table per PropertyId?
I am using SQL SMSS v15.
Thanks so much.
This should identify missing entries. You could simply add an INSERT INTO command on top of this. Keep in mind as the ReportingVolumeSettingId is unique and unknown it's not covered here.
SELECT * FROM (SELECT DISTINCT PropertyId FROM ReportingVolume) rv
CROSS APPLY
(
SELECT DISTINCT SpeciesGroupInventoryId
, CropCategoryId
, SortOrder
FROM ReportingVolume
) x
EXCEPT
SELECT PropertyId, SpeciesGroupInventoryId, CropCategoryId, SortOrder FROM ReportingVolume
I don't have access to your data, so I cannot provide an example specific to your environment, but I can provide you a simple example using SQL Server's EXCEPT operator.
Run the following example in SSMS:
-- Create a list of required values.
DECLARE #Required TABLE ( required_id INT, required_val VARCHAR(50) );
INSERT INTO #Required ( required_id, required_val ) VALUES
( 1, 'Required value 1.' ), ( 2, 'Required value 2.' ), ( 3, 'Required value 3.' ), ( 4, 'Required value 4.' ), ( 5, 'Required value 5.' );
-- Create some sample data to compare against.
DECLARE #Data TABLE ( PropertyId INT, RequiredId INT );
INSERT INTO #Data ( PropertyId, RequiredId ) VALUES
( 1, 1 ), ( 1, 2 ), ( 1, 3 ), ( 2, 1 ), ( 2, 2 ), ( 2, 4 ), ( 2, 5 );
-- Set a property id value to query.
DECLARE #PropertyId INT = 1;
-- Preview #Data's rows for the specified #PropertyId.
SELECT * FROM #Data WHERE PropertyId = #PropertyId ORDER BY PropertyId, RequiredId;
At this point, I've created a list of required values (required_id 1 through 5) and some dummy data to check them against. This initial SELECT shows the current resultset for the specified #PropertyID:
+------------+------------+
| PropertyId | RequiredId |
+------------+------------+
| 1 | 1 |
| 1 | 2 |
| 1 | 3 |
+------------+------------+
You can see that required_id values 4 and 5 are missing for the current property. Next, we can compare #Required against #Data and INSERT any missing required values using the EXCEPT operator and then return the corrected resultset.
-- Insert any missing required values for #PropertyId.
INSERT INTO #Data ( PropertyId, RequiredId )
SELECT #PropertyId, required_id FROM #Required
EXCEPT
SELECT PropertyId, RequiredId FROM #Data WHERE PropertyId = #PropertyId;
-- Preview #Data's revised rows for #PropertyId.
SELECT * FROM #Data WHERE PropertyId = #PropertyId ORDER BY PropertyId, RequiredId;
The updated resultset now looks like the following:
+------------+------------+
| PropertyId | RequiredId |
+------------+------------+
| 1 | 1 |
| 1 | 2 |
| 1 | 3 |
| 1 | 4 |
| 1 | 5 |
+------------+------------+
You can run this again against #PropertyId = 2 to see a different scenario.
Note the order to using EXCEPT. The required rows comes first, followed by the EXCEPT operator, and then the current rows to be validated. This is important. EXCEPT is saying show me rows from #Required that are not in #Data--which allows for the inserting of any missing required values into #Data.
I know this example doesn't represent your existing data with the 23 rows requirement, but hopefully, it will get you moving with a solution for your needs. You can read more about the EXCEPT operator here.
Here is the complete SSMS example:
-- Create a list of required values.
DECLARE #Required TABLE ( required_id INT, required_val VARCHAR(50) );
INSERT INTO #Required ( required_id, required_val ) VALUES
( 1, 'Required value 1.' ), ( 2, 'Required value 2.' ), ( 3, 'Required value 3.' ), ( 4, 'Required value 4.' ), ( 5, 'Required value 5.' );
-- Create some sample data to compare against.
DECLARE #Data TABLE ( PropertyId INT, RequiredId INT );
INSERT INTO #Data ( PropertyId, RequiredId ) VALUES
( 1, 1 ), ( 1, 2 ), ( 1, 3 ), ( 2, 1 ), ( 2, 2 ), ( 2, 4 ), ( 2, 5 );
-- Set a property id value to query.
DECLARE #PropertyId INT = 1;
-- Preview #Data's rows for the specified #PropertyId.
SELECT * FROM #Data WHERE PropertyId = #PropertyId ORDER BY PropertyId, RequiredId;
-- Insert any missing required values for #PropertyId.
INSERT INTO #Data ( PropertyId, RequiredId )
SELECT #PropertyId, required_id FROM #Required
EXCEPT
SELECT PropertyId, RequiredId FROM #Data WHERE PropertyId = #PropertyId;
-- Preview #Data's revised rows for #PropertyId.
SELECT * FROM #Data WHERE PropertyId = #PropertyId ORDER BY PropertyId, RequiredId;
The Structure
I have 2 tables that link to each other. One is a set of values and a nullable foreign key that points to the Id of the other table, which contains 2 foreign keys back to the other table.
HierarchicalTable
Id LeftId RightId SomeValue
1 1 2 some value
2 3 4 top level in tree
3 5 6 incorrect hierarchy 1
4 7 8 incorrect result top level
IntermediateTable
Id SomeValue HierarchicalTableId
1 some value NULL
2 value NULL
3 NULL 1
4 value NULL
5 incorrect result 1 NULL
6 incorrect result 3 NULL
7 incorrect result 3 NULL
8 NULL 3
Each table points down the hierarchy. Here is this structure graphed out for the Hierarchical Table records 1 & 2 and their IntermediateTable values:
(H : HierarchicalTable, I : IntermediateTable)
H-2
/ \
I-3 I-4
/
H-1
/ \
I-1 I-2
The Problem
I need to be able to send in an Id for a given HierarchicalTable and get all the HierarchicalTable records below it. So, for the structure above, if I pass 1 into a query, I should just get H-1 (and from that, I can load the related IntermediateTable values). If I pass 2, I should get H-2 and H-1 (and, again, use those to load the relevant IntermediateTable values).
The Attempts
I've tried using a CTE, but there are a few main things that are different from the examples I've seen:
In my structure, the objects point down to their children, instead of up to their parent
I have the Id of the top object, not the Id of the bottom object.
My hierarchy is split across 2 tables. This shouldn't be a big issue once I understand the algorithm to find the results I need, but this could be causing additional confusion for me.
If I run this query:
declare #TargetId bigint = 2
;
with test as (
select h.*
from dbo.hierarchicaltable h
inner join dbo.intermediatetable i
on (h.leftid = i.id or h.rightid = i.id)
union all
select h.*
from dbo.hierarchicaltable h
where h.id = #TargetId
)
select distinct *
from test
I get all 4 records in the HierarchicalTable, instead of just records 1 & 2. I'm not sure if what I want is possible to do with a CTE.
Try this:
I'm build entire tree with both tables, then filter (only hierarchicaltable records).
DECLARE #HierarchicalTable TABLE(
Id INT,
LeftId INT,
RightId INT,
SomeValue VARCHAR(MAX)
)
INSERT INTO #HierarchicalTable
VALUES
(1, 1, 2, 'some value '),
(2, 3, 4, 'top level in tree '),
(3, 5, 6, 'incorrect hierarchy 1 '),
(4, 7, 8, 'incorrect result top level')
DECLARE #IntermediateTable TABLE(
Id INT,
SomeValue VARCHAR(MAX),
HierarchicalTableId INT
)
INSERT INTO #IntermediateTable
VALUES
(1, 'some value' ,NULL ),
(2, 'value ' ,NULL ),
(3, NULL ,1 ),
(4, 'value ' ,NULL ),
(5, 'incorrect result 1' ,NULL ),
(6, 'incorrect result 3' ,NULL ),
(7, 'incorrect result 3' ,NULL ),
(8, NULL ,3 )
DECLARE #TargetId INT = 2;
WITH CTE AS (
SELECT Id AS ResultId, LeftId, RightId, NULL AS HierarchicalTableId
FROM #HierarchicalTable
WHERE Id = #TargetId
UNION ALL
SELECT C.Id AS ResultId, C.LeftId, C.RightId, NULL AS HierarchicalTableId
FROM #HierarchicalTable C
INNER JOIN CTE P ON P.HierarchicalTableId = C.Id
UNION ALL
SELECT NULL AS ResultId, NULL AS LeftId, NULL AS RightId, C.HierarchicalTableId
FROM #IntermediateTable C
INNER JOIN CTE P ON P.LeftId = C.Id OR P.RightId = C.Id
)
SELECT *
FROM CTE
WHERE ResultId IS NOT NULL
So I have this follwing DAX code for a Measure. What I am trying to do is replace the Billdetail[SOurceWasteServiceID] with another column ,BillDetail[SourceServiceMapID]. But the problem is that for a single SourceWasteServiceID, I can have multiple records for SourceServiceMapID. And since the data has to be grouped together, I cant just directly replace the one with other. This table does have an IsCurrent flag in the table, which is "1" for the latest record. I tried to use this IsCurrent in Filter statement but still I get mismatch data.
Anybody have any suggestions on how can I change this?
Thanks in advance for the help!!
Sum of Volume:=CALCULATE(
SUMX(
Summarize(BillDetail
,BillDetail[SourceWasteServiceID]
,BillDetail[ActualBillMonth]
,WasteServiceMap[ContainerCount]
,WasteServiceMap[WasteContainerSizeQuantity]
,WasteServiceMap[WasteContainerSizeUnit]
,WasteServiceMap[WastePickupSchedule]
,WasteServiceMap[WastePickupFrequencyMultiplier]
,WasteServiceMap[PercentFull]
,WasteServiceMap[CompactionRatio]
,"ItemQuantity", CALCULATE(Sum(BillDetail[ActualItemQuantity]),BillDetail[AlternateBillDetailKey] = True)
)
,IF ( UPPER((WasteServiceMap[WastePickupSchedule])) = "FIXED"
,(WasteServiceMap[ContainerCount])
* (WasteServiceMap[WasteContainerSizeQuantity])
*(IF(WasteServiceMap[WastePickupFrequencyMultiplier] = -1,0,WasteServiceMap[WastePickupFrequencyMultiplier]))
* (WasteServiceMap[PercentFull])
* (WasteServiceMap[CompactionRatio])
*IF(UPPER((WasteServiceMap[WasteContainerSizeUnit])) = "GALLONS"
, 0.00495113169
, IF(UPPER((WasteServiceMap[WasteContainerSizeUnit])) = "LITERS"
, 0.00130795062
,IF(UPPER((WasteServiceMap[WasteContainerSizeUnit])) = "YARDS"
,1
,BLANK())
)
)
, IF ( OR(OR(OR(UPPER((WasteServiceMap[WastePickupSchedule])) = "ON CALL" ,UPPER((WasteServiceMap[WastePickupSchedule])) = "MAILBACK"),UPPER((WasteServiceMap[WastePickupSchedule])) = "HAND PICKUP"),UPPER((WasteServiceMap[WastePickupSchedule])) = "SCHEDULED ONCALL")
, (WasteServiceMap[WasteContainerSizeQuantity])
* (WasteServiceMap[CompactionRatio])
* (WasteServiceMap[PercentFull])
* ([ItemQuantity])
*IF(UPPER((WasteServiceMap[WasteContainerSizeUnit])) = "GALLONS"
, 0.00495113169
, IF(UPPER((WasteServiceMap[WasteContainerSizeUnit])) = "LITERS"
, 0.00130795062
,IF(UPPER((WasteServiceMap[WasteContainerSizeUnit])) = "YARDS"
,1
,BLANK())
)
)
, 0
)
)
)
)
You know... example you provided does not look like just a problem related to joining latest records to some "base" records, but... if it IS related despite all that, we can "play" with this problem a little bit. Just for fun.
Let's say we have two very simple tables in our database
create table parent_table
(
parent_id int identity(1, 1) primary key,
some_value nvarchar(100)
);
create table child_table
(
child_id int identity(1, 1) primary key,
parent_id int,
is_current bit,
some_value nvarchar(100)
);
with some meaningless, but related data
insert into parent_table (some_value)
values ('value 1'),('value 2'),('value 3'),('value 4');
insert into child_table (parent_id, is_current, some_value) values
(1, 1, 'value 1.1'),
(2, 0, 'value 2.1'),
(2, 0, 'value 2.2'),
(2, 1, 'value 2.3'),
(3, 0, 'value 3.1'),
(3, 1, 'value 3.2'),
(4, 0, 'value 4.1'),
(4, 1, 'value 4.2');
And... we want to find only current child data for every parent row.
If we wrote a query on T-SQL it could look as something like this
select p.parent_id
, p.some_value [parent_value]
, c.some_value [current_child_value]
from parent_table p
left join child_table c on p.parent_id = c.parent_id
and c.is_current = 1;
(4 row(s) affected)
parent_id parent_value current_child_value
-----------------------------------------------
1 value 1 value 1.1
2 value 2 value 2.3
3 value 3 value 3.2
4 value 4 value 4.2
Now we could try to build some simple tabular model on top on these tables
and write a DAX query against it
evaluate
filter (
addcolumns(
child_table,
"parent_value", related(parent_table[some_value])
),
child_table[is_current] = True
)
having received almost the same results as using T-SQL
child_table[child_id] child_table[parent_id] child_table[is_current] child_table[some_value] [parent_value]
------------------------------------------------------------------------------------------------------------------
8 4 True value 4.2 value 4
6 3 True value 3.2 value 3
4 2 True value 2.3 value 2
1 1 True value 1.1 value 1
I hope it's helpful enough for you to solve your problem or at least it can point you to the right direction
I have an issue I just can't get my head around. I know what I want, just simply can't get it out on the screen.
What I have is a table looking like this:
Id, PK UniqueIdentifier, NotNull
Name, nvarchar(255), NotNull
ParentId, UniqueIdentifier, Null
ParentId have a FK to Id.
What I want to accomplish is to get a flat list of all the id's below the Id I pass in.
example:
1 TestName1 NULL
2 TestName2 1
3 TestName3 2
4 TestName4 NULL
5 TestName5 1
The tree would look like this:
-1
-> -2
-> -3
-> -5
-4
If I now ask for 4, I would only get 4 back, but if I ask for 1 I would get 1, 2, 3 and 5.
If I ask for 2, I would get 2 and 3 and so on.
Is there anyone who can point me in the right direction. My brain is fried so I appreciate all help I can get.
declare #T table(
Id int primary key,
Name nvarchar(255) not null,
ParentId int)
insert into #T values
(1, 'TestName1', NULL),
(2, 'TestName2', 1),
(3, 'TestName3', 2),
(4, 'TestName4', NULL),
(5, 'TestName5', 1)
declare #Id int = 1
;with cte as
(
select T.*
from #T as T
where T.Id = #Id
union all
select T.*
from #T as T
inner join cte as C
on T.ParentId = C.Id
)
select *
from cte
Result
Id Name ParentId
----------- -------------------- -----------
1 TestName1 NULL
2 TestName2 1
5 TestName5 1
3 TestName3 2
Here's a working example:
declare #t table (id int, name nvarchar(255), ParentID int)
insert #t values
(1, 'TestName1', NULL),
(2, 'TestName2', 1 ),
(3, 'TestName3', 2 ),
(4, 'TestName4', NULL),
(5, 'TestName5', 1 );
; with rec as
(
select t.name
, t.id as baseid
, t.id
, t.parentid
from #t t
union all
select t.name
, r.baseid
, t.id
, t.parentid
from rec r
join #t t
on t.ParentID = r.id
)
select *
from rec
where baseid = 1
You can filter on baseid, which contains the start of the tree you're querying for.
Try this:
WITH RecQry AS
(
SELECT *
FROM MyTable
UNION ALL
SELECT a.*
FROM MyTable a INNER JOIN RecQry b
ON a.ParentID = b.Id
)
SELECT *
FROM RecQry
Here is a good article about Hierarchy ID models. It goes right from the start of the data right through to the query designs.
Also, you could use a Recursive Query using a Common Table Expression.
I'm guessing that the easiest way to accomplish what you're looking for would be to write a recursive query using a Common Table Expression:
MSDN - Recursive Queries Using Common Table Expressions
I have this scenario:
Table A:
---------------
ID| SOME_VALUE|
---------------
1 | 123223 |
2 | 1232ff |
---------------
Table B:
------------------
ID | KEY | VALUE |
------------------
23 | 1 | 435 |
24 | 1 | 436 |
------------------
KEY is a reference to to Table A's ID. Can I somehow join these tables so that I get the following result:
Table C
-------------------------
ID| SOME_VALUE| | |
-------------------------
1 | 123223 |435 |436 |
2 | 1232ff | | |
-------------------------
Table C should be able to have any given number of columns depending on how many matching values that are found in Table B.
I hope this enough to explain what I'm after here.
Thanks.
You need to use a Dynamic PIVOT clause in order to do this.
EDIT:
Ok so I've done some playing around and based on the following sample data:
Create Table TableA
(
IDCol int,
SomeValue varchar(50)
)
Create Table TableB
(
IDCol int,
KEYCol int,
Value varchar(50)
)
Insert into TableA
Values (1, '123223')
Insert Into TableA
Values (2,'1232ff')
Insert into TableA
Values (3, '222222')
Insert Into TableB
Values( 23, 1, 435)
Insert Into TableB
Values( 24, 1, 436)
Insert Into TableB
Values( 25, 3, 45)
Insert Into TableB
Values( 26, 3, 46)
Insert Into TableB
Values( 27, 3, 435)
Insert Into TableB
Values( 28, 3, 437)
You can execute the following Dynamic SQL.
declare #sql varchar(max)
declare #pivot_list varchar(max)
declare #pivot_select varchar(max)
Select
#pivot_list = Coalesce(#Pivot_List + ', ','') + '[' + Value +']',
#Pivot_select = Coalesce(#pivot_Select, ', ','') +'IsNull([' + Value +'],'''') as [' + Value + '],'
From
(
Select distinct Value From dbo.TableB
)PivotCodes
Set #Sql = '
;With p as (
Select a.IdCol,
a.SomeValue,
b.Value
From dbo.TableA a
Left Join dbo.TableB b on a.IdCol = b.KeyCol
)
Select IdCol, SomeValue ' + Left(#pivot_select, Len(#Pivot_Select)-1) + '
From p
Pivot ( Max(Value) for Value in (' + #pivot_list + '
)
)as pvt
'
exec (#sql)
This gives you the following output:
Although this works at the moment it would be a nightmare to maintain. I'd recommend trying to achieve these results somewhere else. i.e not in SQL!
Good luck!
As Barry has amply illustrated, it's possible to get multiple columns using a dynamic pivot.
I've got a solution that might get you what you need, except that it puts all of the values into a single VARCHAR column. If you can split those results, then you can get what you need.
This method is a trick in SQL Server 2005 that you can use to form a string out of a column of values.
CREATE TABLE #TableA (
ID INT,
SomeValue VARCHAR(50)
);
CREATE TABLE #TableB (
ID INT,
TableAKEY INT,
BValue VARCHAR(50)
);
INSERT INTO #TableA VALUES (1, '123223');
INSERT INTO #TableA VALUES (2, '1232ff');
INSERT INTO #TableA VALUES (3, '222222');
INSERT INTO #TableB VALUES (23, 1, 435);
INSERT INTO #TableB VALUES (24, 1, 436);
INSERT INTO #TableB VALUES (25, 3, 45);
INSERT INTO #TableB VALUES (26, 3, 46);
INSERT INTO #TableB VALUES (27, 3, 435);
INSERT INTO #TableB VALUES (28, 3, 437);
SELECT
a.ID
,a.SomeValue
,RTRIM(bvals.BValues) AS ValueList
FROM #TableA AS a
OUTER APPLY (
-- This has the effect of concatenating all of
-- the BValues for the given value of a.ID.
SELECT b.BValue + ' ' AS [text()]
FROM #TableB AS b
WHERE a.ID = b.TableAKEY
ORDER BY b.ID
FOR XML PATH('')
) AS bvals (BValues)
ORDER BY a.ID
;
You'll get this as a result:
ID SomeValue ValueList
--- ---------- --------------
1 123223 435 436
2 1232ff NULL
3 222222 45 46 435 437
This looks like something a database shouldn't do. Firstly; a table cannot have arbitrary number of columns depending on whatever you'll store. So you will have to put up a maximum number of values anyway. You can get around this by using comma seperated values as value for that cell (or a similar pivot-like solution).
However; if you do have table A and B; i recommend keeping to those two tables; as they seem to be pretty normalised. Should you need a list of b.value given an input a.some_value, the following sql query gives that list.
select b.value from a,b where b.key=a.id a.some_value='INPUT_VALUE';