DECLARE #ID INT
SET #ID = (select top 1 USER_REQ_JOB_ID
from T8504_USER_REQ_JOB
where JOB_GRP_ID = 160
order by LST_UPDT_TS desc)
SELECT INPUT_PARM_VAL_TX
from TBL_RPT_JOB_INPUT_PARAM
where USER_REQ_JOB_ID = #ID
This returns these results:
USA
USCC
6
7
2
These five records what I get I want to assign to five different variables to use in stored procedure.
I was trying with table variable like this :
declare #CID table (
Region Char(3)
,Segment Char(3)
,MasterContractId int
,ctcid int
,templateid int)
insert into #CID (Region,Segment,MasterContractId,ctcid,templateid)
But how to insert that 5 rows here?
INSERT INTO #CID
select * from
(
select
'Temp' + convert(char(1), row_number() over (order by (select 0))) as columnName,
INPUT_PARM_VAL_TX as Value
from TBL_RPT_JOB_INPUT_PARAM where USER_REQ_JOB_ID = #ID
) d
pivot
(
max(value)
for columnname in (Temp1, Temp2, Temp3, Temp4, Temp5)
) piv;
See if this helps.
Take a look at this fiddle for an example.
Courtesy:
Add row number to this T-SQL query
Efficiently convert rows to columns in sql server
EDIT: The sql adds an extra column to generate row numbers to use it as an extra column, which is pivoted as column heading.
it's really gross, but one way you could probably do it is this (though you'll need to apply it to your case):
http://sqlfiddle.com/#!6/d41d8/21507
declare #table TABLE (value varchar(50))
INSERT INTO #table
VALUES ('first')
INSERT INTO #table
VALUES ('second')
INSERT INTO #table
VALUES (3)
INSERT INTO #table
VALUES (4)
DECLARE #temp TABLE (id int identity(1,1), value varchar(50))
INSERT INTO #temp
SELECT [value]
FROM #table t
SELECT *
FROM #temp
DECLARE #CID TABLE (Region varchar(50), cont varchar(50), another int, andAnother int)
INSERT INTO #CID
(
Region,
cont,
another,
andAnother
)
VALUES
(
(SELECT value FROM #temp WHERE id = 1), -- Region - varchar
(SELECT value FROM #temp WHERE id = 2), -- cont - varchar
(SELECT value FROM #temp WHERE id = 3), -- another - int
(SELECT value FROM #temp WHERE id = 4) -- andAnother - int
)
SELECT * FROM #cid
note that i assumed you're using mssql, you did not specify
Related
CREATE FUNCTION [dbo].[GET_CUSTOMER_DATA]
(
-- Add the parameters for the function here
#customerID bigint,
#maxRows int,
#offset int,
#rows int
)
RETURNS TABLE
AS
RETURN
(
-- Add the SELECT statement with parameter references here
SELECT *
FROM SS_CustomerCard AS SS_CC
INNER JOIN SS_PersonalRepresentative AS SS_PR
ON SS_PR.customerID = SS_CC.ID
INNER JOIN SS_ApplicationStatus AS SS_AS
ON SS_AS.CustomerID = SS_CC.ID
WHERE
SS_CC.ID='#customerID'
ORDER BY SS_AS.EventDateTime DESC, SS_CC.FirstName DESC, SS_CC.LastName DESC
OFFSET #offset ROWS
FETCH NEXT #rows ROWS ONLY
)
GO
I want to pass a parameter to limit the number of rows being returned (maxRows)
You can use the TOP() clause in the SELECT statement.
Here is a conceptual example.
SQL
DECLARE #tbl TABLE (ID INT IDENTITY PRIMARY KEY, vehicleMake VARCHAR(20));
INSERT INTO #tbl (vehicleMake) VALUES
('Chevrolet'),
('Tesla'),
('Audi'),
('Nissan');
DECLARE #tableVariable TABLE (ID INT, vehicleMake VARCHAR(20));
DECLARE #topRows INT = 2;
INSERT INTO #tableVariable
SELECT *
FROM #tbl
ORDER BY id;
SELECT TOP(#topRows) *
FROM #tableVariable
ORDER BY id;
I think you are trying to limit the total number of rows BEFORE the OFFSET/FETCH. If so, you need to put it in a subquery/derived table, and add another ORDER BY:
CREATE FUNCTION [dbo].[GET_CUSTOMER_DATA]
(
-- Add the parameters for the function here
#customerID bigint,
#maxRows int,
#offset int,
#rows int
)
RETURNS TABLE
AS
RETURN
(
SELECT *
FROM (
SELECT TOP (#maxRows) all_needed_columns_here_aliased_if_necessary
FROM SS_CustomerCard AS SS_CC
INNER JOIN SS_PersonalRepresentative AS SS_PR
ON SS_PR.customerID = SS_CC.ID
INNER JOIN SS_ApplicationStatus AS SS_AS
ON SS_AS.CustomerID = SS_CC.ID
WHERE
SS_CC.ID=#customerID
ORDER BY SS_AS.EventDateTime DESC, SS_CC.FirstName DESC, SS_CC.LastName DESC
) t
ORDER BY EventDateTime DESC, FirstName DESC, LastName DESC
OFFSET #offset ROWS
FETCH NEXT #rows ROWS ONLY
)
GO
DROP TABLE #ID
CREATE TABLE #ID (ID INT)
INSERT INTO #ID (ID)
VALUES (24),(65),(77),(44)
DECLARE #ID int
SELECT #ID = MAX(ID) from #ID
DROP TABLE #name
CREATE TABLE #NAME (Name char (20))
INSERT INTO #NAME (name)
VALUES ('Ben'),('Alex'),('Mark')
DROP TABLE #abc
CREATE TABLE #ABC (ID INT, Name char(20))
INSERT INTO #ABC (ID,Name)
SELECT #ID,name
FROM #name
SELECT * FROM #ABC
I want the process to pick up the maximum ID from #ID and then add 1 for the next record. So, expected result should be:
ID Name
77 Ben
78 Alex
79 Mark
Please help me getting around this logic without using cursors. Can I use IDENTITY(#ID,1) in any way? Thanks
Replace:
Select * from #ABC
For:
Select ROW_NUMBER() OVER (ORDER BY ID) + ID - 1, Name from #ABC
Working fiddle
Table1
ID (NVarchar Column)
01
02
03
...
Query
Select max(id) from table1
Ouput is
3
I want to get maximum id with leading zero, if it is 002 means, the query should return 002
Expected Output is
03
How to do this
Need Query Help
I executed the following piece of code:
DECLARE #TABLE TABLE (
ID nvarchar(10)
)
INSERT #TABLE VALUES ( '003' )
INSERT #TABLE VALUES ( '004' )
SELECT MAX (ID)
FROM #TABLE
The output was
004
When using the data type as int however:
DECLARE #TABLE TABLE (
ID int
)
INSERT #TABLE values ( '003' )
INSERT #TABLE VALUES ( '004')
SELECT MAX (ID )
FROM #TABLE
The output was:
4
I would check you have your data types defined correctly.
To get the idea: Select right('000' + max(id),2) from table1
You can write the query as following:
declare #input int, #len int
set #len = 2
select right(REPLICATE('0',#len)+convert(varchar(5),2),#len ) AS LPAD
I am assuming that you know the length all the time. You can make it a UDF as well.
Having a SQL table like
UserID |Attribute | Value
1 |Username | Marius
1 |Password | Fubar
I want to create an output like:
1 | Marius | Fubar
Maybe I'm just too tired to see it, doesn't sound too complicated, but I just can't seem to figure it out. Any help is appreciated.
Why don't you use self joins, ie. :
select u1.userid, u1.value, u2.value
from yourtable u1
inner join yourtable u2 on u2.userid=u1.userid
where u1.attribute='Username' and u2.attribute='Password';
Would something like...
SELECT userID,
GROUP_CONCAT (Value SEPARATOR '|')
FROM my_table
GROUP BY UserID;
be what you are looking for?
If you keep your data that way, you will need to do a crosstab query and pivot your rows into columns. If you are using Microsoft SQL Server, check out "crosstab query" and the pivot operator in Books Online.
Edited:
One column per result:
If you try to combine multiple Attributes with the same UserID it would be something like this:
Short query (one UserID):
declare #concattedtext varchar(1000)
SELECT #concattedtext=coalesce(#concattedtext + '|', '') + Value
FROM #users WHERE UserID=1
SELECT #concattedtext
RESULT with your example data:
1 | Marius | Fubar
Full query (all UserID's)
-- Your source table
CREATE Table #users (UserID int, Attribute varchar(50), Value varchar(50))
-- some entries
INSERT into #users (UserID, Attribute, Value)
VALUES (1, 'Test1', 'attr1')
INSERT into #users (UserID, Attribute, Value)
VALUES (1, 'Test2', 'attr2')
INSERT into #users (UserID, Attribute, Value)
VALUES (1, 'Test3', 'attr3')
INSERT into #users (UserID, Attribute, Value)
VALUES (2, 'Test4', 'attr4')
-- ids table variable (for distinct UserID's)
DECLARE #ids TABLE
(
rownum int IDENTITY (1, 1) Primary key NOT NULL,
UserID int
)
-- Output table variable
DECLARE #out TABLE
(
rownum int IDENTITY (1, 1) Primary key NOT NULL,
UserID int,
ConcatText varchar(1000)
)
-- get distinct id's
INSERT INTO #ids(UserID)
SELECT DISTINCT(UserID) FROM #users
-- Foreach vars
declare #RowCnt int
declare #MaxRows int
select #RowCnt = 1
select #MaxRows=count(*) from #ids
-- UserID
declare #id int
declare #concattedtext varchar(1000)
-- process each id
while #RowCnt <= #MaxRows
begin
SET #id = 0
SELECT #id=UserID
FROM #ids WHERE rownum=#RowCnt
SET #concattedtext = CONVERT(nvarchar(50), #id)
FROM #ids WHERE rownum=#RowCnt
SELECT #concattedtext=coalesce(#concattedtext + '|', '') + Value
FROM #users WHERE UserID=#id
INSERT INTO #out(UserID, ConcatText)
VALUES (#id, #concattedtext)
-- next UserID
Select #RowCnt = #RowCnt + 1
end
SELECT * FROM #out
DROP TABLE #users
Result:
rownum|UserID|ConcatTex
1 | 1 |1|attr1|attr2|attr3
2 | 2 |2|attr4
DROP TABLE #users
You might need a sort field to get your parameters in your requested order.
Multiple columns
Your data needs to have an equal count of attributes if you like to get a table with multiple columns. And you still need to take care about the ordering.
In this case a hardcoded query with a group by would be your choice.
How do I Delete duplicated rows in one Table and update References in another table to the remaining row? The duplication only occurs in the name. The Id Columns are Identity columns.
Example:
Assume we have two tables Doubles and Data.
Doubles table (
Id int,
Name varchar(50)
)
Data Table (
Id int,
DoublesId int
)
Now I Have Two entries in the Doubls table:
Id Name
1 Foo
2 Foo
And two entries in the Data Table:
ID DoublesId
1 1
2 2
At the end there should be only one entry in the Doubles Table:
Id Name
1 Foo
And two entries in the Data Table:
Id DoublesId
1 1
2 1
In the doubles Table there can be any number of duplicated rows per name (up to 30) and also regular 'single' rows.
I've not run this, but hopefully it should be correct, and close enough to the final soln to get you there. Let me know any mistakes if you like and I'll update the answer.
--updates the data table to the min ids for each name
update Data
set id = final_id
from
Data
join
Doubles
on Doubles.id = Data.id
join
(
select
name
min(id) as final_id
from Doubles
group by name
) min_ids
on min_ids.name = Doubles.name
--deletes redundant ids from the Doubles table
delete
from Doubles
where id not in
(
select
min(id) as final_id
from Doubles
group by name
)
Note: I have taken the liberty to rename your Id's to DoubleID and DataID respectively. I find that eassier to work with.
DECLARE #Doubles TABLE (DoubleID INT, Name VARCHAR(50))
DECLARE #Data TABLE (DataID INT, DoubleID INT)
INSERT INTO #Doubles VALUES (1, 'Foo')
INSERT INTO #Doubles VALUES (2, 'Foo')
INSERT INTO #Doubles VALUES (3, 'Bar')
INSERT INTO #Doubles VALUES (4, 'Bar')
INSERT INTO #Data VALUES (1, 1)
INSERT INTO #Data VALUES (1, 2)
INSERT INTO #Data VALUES (1, 3)
INSERT INTO #Data VALUES (1, 4)
SELECT * FROM #Doubles
SELECT * FROM #Data
UPDATE #Data
SET DoubleID = MinDoubleID
FROM #Data dt
INNER JOIN #Doubles db ON db.DoubleID = dt.DoubleID
INNER JOIN (
SELECT db.Name, MinDoubleID = MIN(db.DoubleID)
FROM #Doubles db
GROUP BY db.Name
) dbmin ON dbmin.Name = db.Name
/* Kudos to quassnoi */
;WITH q AS (
SELECT Name, ROW_NUMBER() OVER (PARTITION BY Name ORDER BY Name) AS rn
FROM #Doubles
)
DELETE
FROM q
WHERE rn > 1
SELECT * FROM #Doubles
SELECT * FROM #Data
Take a look at this one, i have tried this, working fine
--create table Doubles ( Id int, Name varchar(50))
--create table Data( Id int, DoublesId int)
--select * from doubles
--select * from data
Declare #NonDuplicateID int
Declare #NonDuplicateName varchar(max)
DECLARE #sqlQuery nvarchar(max)
DECLARE DeleteDuplicate CURSOR FOR
SELECT Max(id),name AS SingleID FROM Doubles
GROUP BY [NAME]
OPEN DeleteDuplicate
FETCH NEXT FROM DeleteDuplicate INTO #NonDuplicateID, #NonDuplicateName
--Fetch next record
WHILE ##FETCH_STATUS = 0
BEGIN
--select b.ID , b.DoublesID, a.[name],a.id asdasd
--from doubles a inner join data b
--on
--a.ID=b.DoublesID
--where b.DoublesID<>#NonDuplicateID
--and a.[name]=#NonDuplicateName
print '---------------------------------------------';
select
#sqlQuery =
'update b
set b.DoublesID=' + cast(#NonDuplicateID as varchar(50)) + '
from
doubles a
inner join
data b
on
a.ID=b.DoublesID
where b.DoublesID<>' + cast(#NonDuplicateID as varchar(50)) +
' and a.[name]=''' + cast(#NonDuplicateName as varchar(max)) +'''';
print #sqlQuery
exec sp_executeSQL #sqlQuery
print '---------------------------------------------';
-- now move the cursor
FETCH NEXT FROM DeleteDuplicate INTO #NonDuplicateID ,#NonDuplicateName
END
CLOSE DeleteDuplicate --Close cursor
DEALLOCATE DeleteDuplicate --Deallocate cursor
---- Delete duplicate rows from original table
DELETE
FROM doubles
WHERE ID NOT IN
(
SELECT MAX(ID)
FROM doubles
GROUP BY [NAME]
)
Please try and let me know if this helped you
Thanks
~ Aamod
If you are using MYSQL following worked for me. I did it for 2 steps
Step 1 -> Update all Data rows to one Double table reference (with lowest id)
Step 2 -> Delete all duplicates with keeping lowest id
Step 1 ->
update Data
join
Doubles
on Data.DoublesId = Doubles.id
join
(
select name, min(id) as final_id
from Doubles
group by name
) min_ids
on min_ids.name = Doubles.name
set DoublesId = min_ids.final_id;
Step 2 ->
DELETE c1 FROM Doubles c1
INNER JOIN Doubles c2
WHERE
c1.id > c2.id AND
c1.name = c2.name;