I use the simple query below to output a list of partIDs based on a modelID that we get from a printout on a sheet of paper.
We've always just used one modelId at a time like this:
SELECT gm.partId, 343432346 as modelId
FROM dbo.systemMemberTable sm
WHERE gm.partID NOT IN (SELECT partID FROM systemsPartTable)
Is there a way to create a query that uses 10 modelIds at a time?
I can't think of a way because the modelIds are not in any table, just a printout that is handed to us.
Thanks!
SELECT gm.partId, T.number as modelId
FROM ( values (4),(9),(16),(25)
) as T(number)
CROSS JOIN dbo.systemMemberTable sm
WHERE gm.partID NOT IN (SELECT partID FROM systemsPartTable)
op said getting an error but this is the test that runs for me
SELECT T.number as [modelID]
,[main].[name]
FROM ( values (4),(9),(16),(25)
) as T(number)
cross join [Gabe2a_ENRONb].[dbo].[docFieldDef] as [main]
where [main].[ID] not in (1)
insert model ids into a table variable and then do the join with this table variable
Also use not exists instead of not in as not in doesn't work if there are null values in the parts table.
declare #modelIds table
(
model_id int
)
insert into #modelIds values (343432346) , (123456)
your select would be
As you want same model id repeated for all parts, you can just use cross join
select gm.partId, m.model_id
from dbo.systemMeberTable sm
cross join #modelIds m
where not exists ( select 1 from systemPartsTable SPT where SPT.partId = gm.PartID )
Try this:
DECLARE #T TABLE (ModelId INT);
INSERT INTO #T (ModelID)
VALUES (343432346), (343432347) -- And so on and so forth
SELECT gm.partId, T.ModelId
FROM dbo.systemMemberTable sm
INNER JOIN #T AS T
ON T.ModelId = SM.ModelID
WHERE gm.partID NOT IN (SELECT partID FROM systemsPartTable)
Create table #tempmodelTable
(
#modelid int
)
insert all modelid here, then use join with your select query
INSERT INTO #tempmodelTable values(123123)
INSERT INTO #tempmodelTable values(1232323)
INSERT INTO #tempmodelTable values(1232343123)
SELECT gm.partId, modelId
FROM dbo.systemMemberTable gm inner join #tempmodelTable
WHERE gm.partID NOT IN (SELECT partID FROM systemsPartTable)
Related
I have two tables with a foreign key relationship on an ID. I'll refer to them as master and secondary to make things easier and also not worry about the FK for now. Here is cut down, easy to reproduce example using table variables to represent the problem:
DECLARE #Master TABLE (
[MasterID] Uniqueidentifier NOT NULL
,[Description] NVARCHAR(50)
)
DECLARE #Secondary TABLE (
[SecondaryID] Uniqueidentifier NOT NULL
,[MasterID] Uniqueidentifier NOT NULL
,[OtherInfo] NVARCHAR(50)
)
INSERT INTO #Master ([MasterID], [Description])
VALUES ('0C1F1A0C-1DB5-4FA2-BC70-26AA9B10D5C3', 'Test')
,('2696ECD2-FFDB-4E26-83D0-F146ED419C9C', 'Test 2')
,('F21568F0-59C5-4950-B936-AA73DA6009B5', 'Test 3')
INSERT INTO #Secondary (SecondaryID, MasterID, Otherinfo)
VALUES ('514673A6-8B5C-429B-905F-15BD8B55CB5D','0C1F1A0C-1DB5-4FA2-BC70-26AA9B10D5C3','Other info')
SELECT [MasterID], [Description], NULL AS [OtherInfo] FROM #Master
UNION
SELECT S.[MasterID], M.[Description], [OtherInfo] FROM #Secondary S
JOIN #Master M ON M.MasterID = S.MasterID
With the results.....
0C1F1A0C-1DB5-4FA2-BC70-26AA9B10D5C3 Test NULL
0C1F1A0C-1DB5-4FA2-BC70-26AA9B10D5C3 Test Other info
F21568F0-59C5-4950-B936-AA73DA6009B5 Test 3 NULL
2696ECD2-FFDB-4E26-83D0-F146ED419C9C Test 2 NULL
.... I would like to only return records from #Secondary if there is a duplicate MasterID, so this is my expected output:
0C1F1A0C-1DB5-4FA2-BC70-26AA9B10D5C3 Test Other info
F21568F0-59C5-4950-B936-AA73DA6009B5 Test 3 NULL
2696ECD2-FFDB-4E26-83D0-F146ED419C9C Test 2 NULL
I tried inserting my union query into a temporary table, then using a CTE with the partition function. This kind of works but unfortunately returns the row from the #Master table rather than the #Secondary table (regardless of the order I select). See below.
DECLARE #Results TABLE (MasterID UNIQUEIDENTIFIER,[Description] NVARCHAR(50),OtherInfo NVARCHAR(50))
INSERT INTO #Results
SELECT [MasterID], [Description], NULL AS [OtherInfo] FROM #Master
UNION
SELECT S.[MasterID], M.[Description], [OtherInfo] FROM #Secondary S
JOIN #Master M ON M.MasterID = S.MasterID
;WITH CTE AS (
SELECT *, RN= ROW_NUMBER() OVER (PARTITION BY [MasterID] ORDER BY [Description] DESC) FROM #Results
)
SELECT * FROM CTE WHERE RN =1
Results:
0C1F1A0C-1DB5-4FA2-BC70-26AA9B10D5C3 Test NULL 1
F21568F0-59C5-4950-B936-AA73DA6009B5 Test 3 NULL 1
2696ECD2-FFDB-4E26-83D0-F146ED419C9C Test 2 NULL 1
Note that I am not just trying to select the rows which have a value for OtherInfo, this is just to help differentiate the two tables in the result set.
Just to reiterate, what I need to only return the rows present in #Secondary, when there is a duplicate MasterID. If #Secondary has a row for a particular MasterID, I don't need the row from #Master. I hope this makes sense.
What is the best way to do this? I am happy to redesign my database structure. I'm effectively trying to have a master list of items but sometimes take one of those and assign extra info to it + tie it to another ID. In this instance, that record replaces the master list.
You are way overcomplicating this. All you need is a left join.
SELECT M.[MasterID], M.[Description], S.[OtherInfo] FROM #Master M
LEFT JOIN #Secondary S ON M.MasterID = S.MasterID
Union seems to be the wrong approach... I would suggest a left join:
SELECT m.[MasterID], m.[Description], s.[OtherInfo]
FROM #Master m
LEFT JOIN #Secondary s ON s.MasterID = m.MasterID
How I can insert in same row for example I want to insert all these columns data in first row then second and so on. But my query is inserting data when customer name data is complete, status data is inserted after one row of customer number last data.
CREATE TABLE #tblCustomer
(
CustomerNumber NVARCHAR(1000),
Status NVARCHAR (1000),
CustomerType NVARCHAR (1000)
)
INSERT
INTO #tblCustomer (CustomerNumber)
Select c.CustomerNumber
From Customer.Customer c
INSERT
INTO #tblCustomer (Status)
Select ses.Name
From Customer.Customer c
Left Outer Join COM.StatusEngine_EntityStatus sees
On c.Status = sees.EntityStatusId
And sees.EntityId = 'CustomerStatus'
Join COM.StatusEngine_Status ses
On sees.Status = ses.Status
INSERT
INTO #tblCustomer (CustomerType)
select t.Description
From Customer.Customer c
Join Customer.Type t
On c.TypeId = t.pkTypeId
Receiving output:
0001 null null
0002 null null
NULL active null
NULL active null
NULL null individual
NULL null individual
Expected Output:
0001 active individual
0002 active individual
Without knowing more about your tables, you can insert the first records like so...
INSERT INTO #tblCustomer (CustomerNumber)
select c.CustomerNumber from Customer.Customer c
And then update the remaining columns this way...
UPDATE #tblCustomer
set #tblCustomer.Status = c.Status
from Customer.Customer c
left outer join COM.StatusEngine_EntityStatus sees
on c.Status = sees.EntityStatusId and sees.EntityId = 'CustomerStatus'
join COM.StatusEngine_Status ses
on sees.Status = ses.Status
join #tblCustomer temp
on c.CustomerNumber = temp.CustomerNumber
However doing it like this is really inefficient, you should strive to create an insert that updates all columns in one go.
You can do it like this (I have verified the code with the Northwind sample database from Microsoft - I have chosen that one since you can use it for each SQL server version since SQL 2000):
declare #NumberOfItems int = 10;
CREATE TABLE #tblCustomer (
CustomerNumber NVARCHAR(1000)
,Name NVARCHAR (1000)
,CustomerType NVARCHAR (1000))
insert into #tblCustomer
select CustomerNumber, Name, Status from (select top(#NumberOfItems) ROW_NUMBER() OVER(ORDER BY CustomerID) as No, CustomerID as CustomerNumber from Customers) c
left join (select * from (select top(#NumberOfItems) ROW_NUMBER() OVER(ORDER BY ContactName) as No, ContactName as Name from Customers) q2) j1 on c.No=j1.No
left join (select * from (select top(#NumberOfItems) ROW_NUMBER() OVER(ORDER BY ContactTitle) as No, ContactTitle as Status from Customers) q3) j2 on c.No=j2.No
select * from #tblCustomer
drop table #tblCustomer
It will create a column with numbers from 1 to n for each element you want to import and then it joins it together.
The result of this query is:
Note: While this works, it is not the preferred way to do it, because there is no primary key - normally one would look for primary key / foreign key relationships to join the data together. The way you're intending to fill it puts data together which doesn't necessarily belong together (here each column is sorted and then put together by its row number - i.e. it picks values from rows sorted by its extract column and then putting them together again). If you have no primary key because you're importing data from other sources, you can add WHERE clauses to create a better connection between the inner and the outer select statements - you can find a nice article which might help you with such kind of subqueries here.
This is untested, however, I believe this is what you're after:
INSERT INTO #tblCustomer (CustomerNumber, [Status], CustomerType))
SELECT c.CustomerNumber, ses.[Name], t.[Description]
FROM Customer.Customer c
JOIN COM.StatusEngine_EntityStatus sees ON c.Status = sees.EntityStatusId --Changed to JOIN, as it is turned into a implicit INNER join by the next JOIN
AND sees.EntityId = 'CustomerStatus'
JOIN COM.StatusEngine_Status ses ON sees.[Status] = ses.[Status];
Note my comment regarding your LEFT OUTER JOIN, in that I've changed it to an INNER JOIN.
straight forward SQL here:
CREATE TABLE #tblCustomer
(
CustomerNumber NVARCHAR(1000),
Status NVARCHAR (1000),
CustomerType NVARCHAR (1000)
)
INSERT INTO #tblCustomer (CustomerNumber, Status, CustomerType)
SELECT DISTINCT
c.CustomerNumber,
ses.Name,
t.Description
FROM Customer.Customer c
LEFT OUTER JOIN COM.StatusEngine_EntityStatus sees
On c.Status = sees.EntityStatusId
And sees.EntityId = 'CustomerStatus'
LEFT OUTER JOIN COM.StatusEngine_Status ses
On sees.Status = ses.Status
LEFT OUTER JOIN Customer.Type t
On c.TypeId = t.pkTypeId
I am trying to figure out some ways to accomplish this script. I import an excel sheet and then I need to populate 5 different tables based on this excel sheet. However for this example I just need help with the initial loop then I think I can work through the rest.
select distinct Department from IPACS_New_MasterList
where Department is not null
This provides me a list of 7 different departments.
Dep1, Dep2, Dep3, Dep4, Dep5, Dep6, Dep7
For each of these departments I need to perform some code.
Step #1:
Insert the department into table_one
I then need to keep the SCOPE_IDENTITY() for the rest of the code.
Step #2
perform the second loop (inserting all functions in that department into table2.
I'm not sure how to really do a foreach row in this select statement loop, or if I need to do something completely different. I've looked at several answers but can't seem to find exactly what I'm looking for.
Sample Data:
Source Table
Dep1, func1, process1, procedure1
dep1, func1, process1, procedure2
dep1, func1, process2, procedure3
dep1, func1, process2, procedure4
dep1, func1, process2, procedure5
dep1, func2, process3, procedure6
dep2, func3, process4, procedure7
My Tables:
My first table is a list of every department from the above query. With a key on the departmentID. Each department can have many functions.
My second table is a list of all functions with a key on functionID and a foreign key on departmentID. Each function must have 1 department and can have many processes
My third table is a list of all processes with a key on processID and a foreign key on functionID. Each process must have 1 function and can have many procedures.
There are two approaches you can use without a loop.
1) If you have candidate keys in your source (department name) just join your source table back to the table you inserted
e.g.
INSERT INTO Department
(Name)
SELECT DISTINCT Dep1
FROM SOURCE;
INSERT INTO Functions
(
Name,
DepartmentID)
SELECT DISTINCT
s.Func1,
d.DepartmentID
FROM
source s
INNER JOIN Department d
on s.dep1 = d.name;
INSERT INTO
processes
(
name,
FunctionID,
[Procedure]
)
SELECT
s.process1,
f.FunctionID,
s.procedure1
FROM
source s
INNER JOIN Department d
on s.dep1 = d.name
INNER JOIN Functions f
on d.DepartmentID = f.departmentID
and s.func1 = f.name;
SQL Fiddle
2) If you don't have candidate keys in your source then you can use the output clause
For example here if a department weren't guaranteed to be unique this would correctly find only the newly add
DECLARE #Department TABLE
(
DepartmentID INT
)
DECLARE #Functions TABLE
(
FunctionID INT
)
INSERT INTO Department
(Name)
OUTPUT INSERTED.DepartmentID INTO #Department
SELECT DISTINCT Dep1
FROM SOURCE
INSERT INTO Functions
(
Name,
DepartmentID)
OUTPUT INSERTED.FunctionID INTO #FunctionID
SELECT DISTINCT
s.Func1,
d.DepartmentID
FROM
source s
INNER JOIN Department d
on s.dep1 = d.name
INNER JOIN #Department d2
ON d.departmentID = d2.departmentID;
INSERT INTO
processes
(
name,
FunctionID,
[Procedure]
)
SELECT
s.process1,
f.FunctionID,
s.procedure1
FROM
source s
INNER JOIN Department d
on s.dep1 = d.name
INNER JOIN Functions f
on d.DepartmentID = f.departmentID
and s.func1 = f.name
INNER JOIN #Functions f2
ON f.Functions = f2.Functions
SELECT * FROM Department;
SELECT * FROm Functions;
SELECT * FROM processes;
SQL Fiddle
If I am understanding what you are trying to do... yes you can use a loop. Its not really talked about and I bet I am going to get some feedback from other SQL developers that its not a best practice. But if you really need to do a loop
DECLARE #rowcount as int
DECLARE #numberOfRows as int
SET #rowcount = 0
SET #numberOfRows = SELECT COUNT(*) from tablename --put in anything to get the number of times to loop.
WHILE #numberOfRows <= #rowcount
BEGIN
--Put whatever process you need to repeat here
SET #rowcount = #rowcount + 1
END
Assuming you have tables set up with an IDENTITY field set for the Primary Key, you can populate each successive table's foreign key by joining to the previous table and the source table, something like:
INSERT INTO Table1
SELECT DISTINCT Department
FROM SourceTable
GO
INSERT INTO Table2
SELECT DISTINCT b.Deptartment_ID, a.Function
FROM SourceTable a
JOIN Table1 b
ON a.Department = b.Department
GO
INSERT INTO Table3
SELECT DISTINCT b.Function_ID, a.Process
FROM SourceTable a
JOIN Table2 b
ON a.Function = b.Function
GO
INSERT INTO Table4
SELECT DISTINCT b.Process_ID, a.Procedure
FROM SourceTable a
JOIN Table3 b
ON a.Process = b.Process
GO
I need to produce mailing labels for my company and I thought I would do a query for that:
I have 2 tables - tblAddress , tblContact.
In tblContact I have "addressNum" which is a foreign key of address and "labelsNum" column that represents the number of times the address should appear in the labels sheet.
I need to create an inner join of tblcontact and tbladdress by addressNum,
but if labelsNum exists more than once it should be displayed as many times as labelsNum is.
I suggest using a recursive query to do the correct number of iterations for each row.
Here is the code (+ link to SQL fiddle):
;WITH recurs AS (
SELECT *, 1 AS LEVEL
FROM tblContact
UNION ALL
SELECT t1.*, LEVEL + 1
FROM tblContact t1
INNER JOIN
recurs t2
ON t1.addressnum = t2.addressnum
AND t2.labelsnum > t2.LEVEL
)
SELECT *
FROM recurs
ORDER BY addressnum
Wouldn't the script return multiple lines for different contacts anyway?
CREATE TABLE tblAddress (
AddressID int IDENTITY
, [Address] nvarchar(35)
);
CREATE TABLE tblContact (
ContactID int IDENTITY
, Contact nvarchar(35)
, AddressNum int
, labelsNum int
);
INSERT INTO tblAddress VALUES ('foo1');
INSERT INTO tblAddress VALUES ('foo2');
INSERT INTO tblContact VALUES ('bar1', 1, 1);
INSERT INTO tblContact VALUES ('bar2', 2, 2);
INSERT INTO tblContact VALUES ('bar3', 2, 2);
SELECT * FROM tblAddress a JOIN tblContact c ON a.AddressID = c.AddressNum
This yields 3 rows on my end. The labelsNum column seems redundant to me. If you add a third contact for address foo2, you would have to update all labelsNum columns for all records referencing foo2 in order to keep things consistent.
The amount of labels is already determined by the amount of different contacts.
Or am I missing something?
I'm trying to join two tables, and select columns from both based on where constraints as a well as a group-by-having condition. I'm experiencing some issues and behavior that I do not understand. I'm using sybase. A simple example below
CREATE TABLE #test(
name varchar(4),
num int,
cat varchar(3)
)
CREATE TABLE #other(
name varchar(4),
label varchar(20)
)
Insert #test VALUES('a',2,'aa')
Insert #test VALUES ('b',2,'aa')
Insert #test VALUES ('c',3,'bb')
Insert #test VALUES ( 'a',3,'aa')
Insert #test VALUES ( 'd',4,'aa')
Insert #other VALUES('a','this label is a')
Insert #other VALUES ('b','this label is b')
Insert #other VALUES ('c','this label is c')
Insert #other VALUES ( 'd','this label is d')
SELECT t.name,t.num,o.label
FROM #other o inner JOIN #test t ON o.name=t.name
WHERE t.name='a'
GROUP BY t.name
HAVING t.num=MAX(t.num)
I get non-sense when I have the GROUP BY (the label columns are clearly related to a different t.name). If I cut out the GROUP BY statement the query behaves as I would expect, but then I am forced to use this as a subquery and then apply
SELECT * FROM (subquery here) s GROUP BY s.name having s.num=MAX(s.num)
There has to be a better way of doing this. Any help and explanation for this behavior would be very appreciated.
**I should clarify. In my actual query I have something like
SELECT .... FROM (joined tables) WHERE name IN (long list of names), GROUP BY .....
You can try the following, if I understand your query well.
SELECT t.name,t.num,o.label
FROM #other o inner JOIN #test t ON o.name=t.name
WHERE t.name='a' AND t.num=MAX(t.num)
Your GROUP BY must include t.name, t.num and o.label. If you do this
GROUP BY t.name, t.num, o.label
then the query executes without error.
However you're not computing any aggregate values in the group by.
What are you trying to do?
If I understand your requirement correctly, running this...
SELECT t.name, num=MAX(t.num), o.label
FROM #other o
INNER JOIN #test t ON o.name=t.name
WHERE t.name='a'
GROUP BY t.name, o.label;
...gives me this result:
name num label
---- ----------- --------------------
a 3 this label is a