I have two tables.
Table1
Id, Column1, Column2, Column3
1 1 2 3
2 1 2 3
3 2 1 3
4 2 1 3
5 2 2 2
Table2
Id, Table1_Id
1 1
2 1
3 2
4 2
5 2
6 3
7 4
8 4
9 5
From first table I need remove duplicate rows with same Column1, Column2 and Column3 values and to Table 2 I need replace FKs Table1_Id column with Id after removes duplicate rows from Table1.
I need this
Table1
Id, Column1, Column2, Column3
1 1 2 3
3 2 1 3
5 2 2 2
Table2
Id, Table1_Id
1 1
2 1
3 1
4 1
5 1
6 3
7 3
8 3
9 5
-- Build test data
create table #table1(
id int,
column1 int,
column2 int,
column3 int
)
create table #table2(
id int,
table1_id int
)
insert into #table1
select 1, 1, 2, 3 union all
select 2, 1, 2, 3 union all
select 3, 2, 1, 3 union all
select 4, 2, 1, 3 union all
select 5, 2, 2, 2
insert into #table2
select 1, 1 union all
select 2, 1 union all
select 3, 2 union all
select 4, 2 union all
select 5, 2 union all
select 6, 3 union all
select 7, 4 union all
select 8, 4 union all
select 9, 5
-- update rows of table2
;with cte as(
select
*,
rn = row_number() over(partition by column1, column2, column3 order by id)
from #table1
)
update t2
set t2.table1_id = c.id
from #table2 t2
inner join #table1 t1
on t1.id = t2.table1_id
inner join cte c on
c.column1 = t1.column1
and c.column2 = t1.column2
and c.column3 = t1.column3
and c.rn = 1
-- delete duplicate rows of table1
;with cte as(
select
*,
rn = row_number() over(partition by column1, column2, column3 order by id)
from #table1
)
delete from cte where rn > 1
select * from #table1
select * from #table2
--drop test data
drop table #table1
drop table #table2
-- test tables
declare #t1 table
(Id int, Column1 int, Column2 int, Column3 int)
declare #t2 table
(Id int, Column1 int)
-- data
insert #t1 values
(1,1,2,3),(2,1,2,3),(3,2,1,3),(4,2,1,3),(5,2,2,2)
insert #t2 values (1,1)
,(2,1),(3,2),(4,2),(5,2)
,(6,3),(7,4),(8,4),(9,5)
-- update t2
begin transaction
;with cte as(
select
id,
lowrow_id = min(id) over(partition by column1, column2, column3)
from #t1
)
update t2
set
Column1 = cte.lowrow_id
from
#t2 t2
join cte
on t2.Column1 = cte.id
where cte.lowrow_id < cte.id
-- delete t1
;with cte as(
select
id,
lowrow_id = min(id) over(partition by column1, column2, column3)
from #t1
)
delete cte
where
lowrow_id < id
commit transaction
-- show result
select * from #t1
select * from #t2
Output
Id Column1 Column2 Column3
1 1 2 3
3 2 1 3
5 2 2 2
Id Column1
1 1
2 1
3 1
4 1
5 1
6 3
7 3
8 3
9 5
with tbl1 as (
select ROW_NUMBER() over (partition by column1,column2,column3 order by id) as rownb,min(id) over (partition by column1,column2,column3) as pid,id,column1,column2,column3 from Table1
)
update table2 set Table1_id = tbl1.pid from table2 left join tbl1 on table2.Table1_id = tbl1.id
with tbl1 as (
select ROW_NUMBER() over (partition by column1,column2,column3 order by id) as rownb,min(id) over (partition by column1,column2,column3) as pid,id,column1,column2,column3 from Table1
)
delete from tbl1 where rownb > 1
Related
For example: I have a table with these records below
1 A
2 A
3 B
4 C
...
and I need to migrate these record in to another table
1 AA
2 AB
3 B
4 C
...
Meaning if the record is duplicate, it will automatically add one more letter alphabetically.
Just a slightly different approach
Example
Declare #YourTable Table (ID int,[SomeCol] varchar(50))
Insert Into #YourTable Values
(1,'A')
,(2,'A')
,(3,'B')
,(4,'C')
Select *
,NewVal = concat(SomeCol,IIF(sum(1) over (partition by SomeCol)=1,'',char(64+row_number() over ( partition by SomeCol order by ID ))) )
From #YourTable
Returns
ID SomeCol NewVal
1 A AA
2 A AB
3 B B
4 C C
EDIT - Requested UPDATE
Declare #YourTable Table (ID int,[SomeCol] varchar(50))
Insert Into #YourTable Values
(1,'A')
,(2,'A')
,(3,'B')
,(4,'C')
Select *
,NewVal = concat(SomeCol,IIF(sum(1) over (partition by SomeCol)=1,'',replace(char(63+row_number() over ( partition by SomeCol order by ID )),'#','')) )
From #YourTable
Returns
ID SomeCol NewVal
1 A A
2 A AA
3 B B
4 C C
We might be able to handle this requirement with the help of a calendar table mapping secondary letters to duplicate sequence counts:
WITH letters AS (
SELECT 1 AS seq, 'A' AS let UNION ALL
SELECT 2, 'B' UNION ALL
SELECT 3, 'C' UNION ALL
...
SELECT 26, 'Z' UNION ALL
...
),
cte AS (
SELECT id, let, ROW_NUMBER() OVER (PARTITION BY let ORDER BY id) rn,
COUNT(*) OVER (PARTITION BY let) cnt
FROM yourTable
)
SELECT t1.id, t1.let + CASE WHEN t1.cnt > 1 THEN t2.let ELSE '' END AS let
FROM cte t1
LEFT JOIN letters t2
ON t1.id = t2.seq
ORDER BY t1.id;
Demo
I need your help in SQL
I have a set of records of Cost center ID below.
what I want to do is to segregate/group them by inserting column to distinguish the category.
as you can see all digits start in 7 is belong to the bold digits.
my expected out is on below image also.
You can as the below:
DECLARE #Tbl TABLE (ID INT)
INSERT INTO #Tbl
VALUES
(735121201),
(735120001),
(5442244),
(735141094),
(735141097),
(4008060),
(735117603),
(40100000),
(735142902),
(735151199),
(4010070)
;WITH TableWithRowId
AS
(
SELECT
ROW_NUMBER() OVER (ORDER BY(SELECT NULL)) RowId,
ID
FROM
#Tbl
), TempTable
AS
(
SELECT T.RowId + 1 AS RowId FROM TableWithRowId T
WHERE
LEFT(T.ID, 1) != 7
), ResultTable
AS
(
SELECT
T.RowId ,
T.ID,
DENSE_RANK() OVER (ORDER BY (SELECT TOP 1 A.RowId FROM TempTable A WHERE A.RowId > T.RowId ORDER BY A.RowId)) AS Flag
FROM TableWithRowId T
)
SELECT * FROM ResultTable
Result:
RowId ID Flag
----------- ----------- ----------
1 735121201 1
2 735120001 1
3 5442244 1
4 735141094 2
5 735141097 2
6 4008060 2
7 735117603 3
8 40100000 3
9 735142902 4
10 735151199 4
11 4010070 4
The following query is similer with NEER's
;WITH test_table(CenterID)AS(
SELECT '735121201' UNION ALL
SELECT '735120001' UNION ALL
SELECT '5442244' UNION ALL
SELECT '735141094' UNION ALL
SELECT '735141097' UNION ALL
SELECT '4008060' UNION ALL
SELECT '735117603' UNION ALL
SELECT '40100000' UNION ALL
SELECT '735142902' UNION ALL
SELECT '735151199' UNION ALL
SELECT '4010070'
),t1 AS (
SELECT *,ROW_NUMBER()OVER(ORDER BY(SELECT 1)) AS rn,CASE WHEN LEFT(t.CenterID,1)='7' THEN 1 ELSE 0 END AS isSeven
FROM test_table AS t
),t2 AS(
SELECT t1.*,ROW_NUMBER()OVER(ORDER BY t1.rn) AS toFilter
FROM t1 LEFT JOIN t1 AS pt ON pt.rn=t1.rn-1
WHERE pt.CenterID IS NULL OR (t1.isSeven=1 AND pt.isSeven=0)
)
SELECT t1.CenterID,x.toFilter FROM t1
CROSS APPLY(SELECT TOP 1 t2.toFilter FROM t2 WHERE t2.rn<=t1.rn ORDER BY rn desc) x
CenterID toFilter
--------- --------------------
735121201 1
735120001 1
5442244 1
735141094 2
735141097 2
4008060 2
735117603 3
40100000 3
735142902 4
735151199 4
4010070 4
I was working on preparing a query where I was stuck.
Consider tables below:
table1
id key col1
-- --- -----
1 1 abc
2 2 d
3 3 s
4 4 xyz
table2
id col1 foreignkey
-- ---- ----------
1 12 1
2 13 1
3 14 1
4 12 2
5 13 2
Now what I need is to select only those records from table1 for which the corresponding entries in table2 does not have say col1 value as 12.
So the challenge is after applying join even though it will skip for value 1 corresponding to col1 equal to 12 it still has another multiple rows whose values are say 13, 14 for which also they have same foreignkey. Now what I want is if there is a single row having value 12 then it should not pick that id at all from table1.
How can I form a query with this?
The output which i need is say from above table structure i want to get those records from table1 for which col1 value from table2 does not have value as 14.
so my query should return me only row 2 from table1 and not row 1.
Another way of doing that. The first two queries are just for making the sample data.
;WITH t1(id ,[key] ,col1) AS
(
SELECT 1 , 1 , 'abc' UNION ALL
SELECT 2 , 2 , 'd' UNION ALL
SELECT 3 , 3 , 's' UNION ALL
SELECT 4 , 4 , 'xyz'
)
,t2(id ,col1, foreignkey) AS
(
SELECT 1 , 12 , 1 UNION ALL
SELECT 2 , 13 , 1 UNION ALL
SELECT 3 , 14 , 1 UNION ALL
SELECT 4 ,12 , 2 UNION ALL
SELECT 5 ,13 , 2
)
SELECT id, [key], col1
FROM t1
WHERE id NOT IN (SELECT t2.Id
FROM t2
INNER JOIN t1 ON t1.Id = t2.foreignkey
WHERE t2.col1 = 14)
This is a typical case for NOT EXISTS:
SELECT id, [key], col1
FROM table1 t1
WHERE NOT EXISTS (SELECT 1
FROM table2 t2
WHERE t2.foreignkey = t1.id AND t2.col1 = 14)
The above query will not select a row from table1 if there is a single correlated row in table2 having col1 = 14.
Output:
id key col1
-------------
2 2 d
3 3 s
4 4 xyz
If you want to return records that, in addition to the criterion set above, also have correlated records in table2, then you can use the following query:
SELECT t1.id, MAX(t1.[key]) AS [key], MAX(t1.col1) AS col1
FROM table1 t1
INNER JOIN table2 t2 ON t1.id = t2.foreignkey
GROUP BY t1.id
HAVING COUNT(CASE WHEN t2.col1 = 14 THEN 1 END) = 0
Output:
id key col1
-------------
2 2 d
You can also achieve the same result with the second query using a combination of EXISTS and NOT EXISTS:
SELECT id, [key], col1
FROM table1 t1
WHERE EXISTS (SELECT 1
FROM table2 t2
WHERE t2.foreignkey = t1.id)
AND
NOT EXISTS (SELECT 1
FROM table2 t3
WHERE t3.foreignkey = t1.id AND t3.col1 = 14)
select t1.id,t1.key,
(select ROW_NUMBER() OVER(PARTITION BY col1 ORDER BY col1 DESC) AS Row,* into
#Temp from table1)
from table1 t1
inner join table2 t2 on t1.id=t2.foreignkey
where t2.col1=(select col1 from #temp where row>1)
Have an issue
Examle
ID ID2
1 100
3 100
5 100
1 110
2 110
4 110
select * from table where ID in (1,4) ---executing not correctly
select * from table where ID = '1' and ID = '4' ---not work
I need that ID2 will '110' (select ID2 which have 2 value ID)
Thanks.
If you have few ID's you can use EXISTS:
SELECT ID, ID2
FROM dbo.Table1 t1
WHERE EXISTS
(
SELECT 1 FROM dbo.Table1 t2
WHERE t2.ID=1 AND t2.ID2=t1.ID2
)
AND EXISTS
(
SELECT 1 FROM dbo.Table1 t2
WHERE t2.ID=4 AND t2.ID2=t1.ID2
)
AND ID IN (1, 4)
This returns the two records that have the same ID2 and ID=1 AND ID=4.
ID ID2
1 110
4 110
Demo-Fiddle
SELECT ID FROM (
SELECT ID, COUNT(*) OVER(PARTITION BY ID2) as cnt FROM Table) t
WHERE t.cnt>1
It would be easier to explain with an example. Suppose I wanted to get at most 5 items per group.
My input would be a table looking like this:
Item Count
A 2
A 3
A 3
B 4
B 4
B 5
C 1
And my desired output would look like this:
Item Count
A 5
A>5 3
B 4
B>5 9
C 1
An alternative output that I could also work with would be
Item Count RunningTotal
A 2 2
A 3 5
A 3 8
B 4 4
B 4 8
B 5 13
C 1 1
I can use ROW_NUMBER() to get the top X records in each group, however my requirement is to get the top X items for each group, not X records. My mind is drawing a blank as to how to do this.
declare #yourTable table (item char(1), [count] int)
insert into #yourTable
select 'A', 2 union all
select 'A', 3 union all
select 'A', 3 union all
select 'B', 4 union all
select 'B', 4 union all
select 'B', 5 union all
select 'C', 1
;with cte(item, count, row) as (
select *, row_number() over ( partition by item order by item, [count])
from #yourTable
)
select t1.Item, t1.Count, sum(t2.count) as RunningTotal from cte t1
join cte t2 on t1.item = t2.item and t2.row <= t1.row
group by t1.item, t1.count, t1.row
Result:
Item Count RunningTotal
---- ----------- ------------
A 2 2
A 3 5
A 3 8
B 4 4
B 4 8
B 5 13
C 1 1
Considering the clarifications from your comment, you should be able to produce the second kid of output from your post by running this query:
select t.Item
, t.Count
, (select sum(tt.count)
from mytable tt
where t.item=tt.item and (tt.creating_user_priority < t.creating_user_priority or
( tt.creating_user_priority = t.creating_user_priority and tt.created_date < t.createdDate))
) as RunningTotal
from mytable t
declare #yourTable table (item char(1), [count] int)
insert into #yourTable
select 'A', 2 union all
select 'A', 3 union all
select 'A', 3 union all
select 'B', 4 union all
select 'B', 4 union all
select 'B', 5 union all
select 'C', 1
;with cte(item, count, row) as (
select *, row_number() over ( partition by item order by item, [count])
from #yourTable
)
select t1.row, t1.Item, t1.Count, sum(t2.count) as RunningTotal
into #RunTotal
from cte t1
join cte t2 on t1.item = t2.item and t2.row <= t1.row
group by t1.item, t1.count, t1.row
alter table #RunTotal
add GrandTotal int
update rt
set GrandTotal = gt.Total
from #RunTotal rt
left join (
select Item, sum(Count) Total
from #RunTotal rt
group by Item) gt
on rt.Item = gt.Item
select Item, max(RunningTotal)
from #RunTotal
where RunningTotal <= 5
group by Item
union
select a.Item + '>5', total - five
from (
select Item, max(GrandTotal) total
from #RunTotal
where GrandTotal > 5
group by Item
) a
left join (
select Item, max(RunningTotal) five
from #RunTotal
where RunningTotal <= 5
group by Item
) b
on a.Item = b.Item
I've updated the accepted answer and got your desired result.
SELECT Item, SUM(Count)
FROM mytable t
GROUP BY Item
HAVING SUM(Count) <=5
UNION
SELECT Item, 5
FROM mytable t
GROUP BY Item
HAVING SUM(Count) >5
UNION
SELECT t2.Item + '>5', Sum(t2.Count) - 5
FROM mytable t2
GOUP BY Item
HAVING SUM(Count) > 5
ORDER BY 1, 2
select 'A' as Name, 2 as Cnt
into #tmp
union all select 'A',3
union all select 'A',3
union all select 'B',4
union all select 'B',4
union all select 'B',5
union all select 'C',1
select Name, case when sum(cnt) > 5 then 5 else sum(cnt) end Cnt
from #tmp
group by Name
union
select Name+'>5', sum(cnt)-5 Cnt
from #tmp
group by Name
having sum(cnt) > 5
Here is what I have so far. I know it's not complete but... this should be a good starting point.
I can get your second output by using a temp table and an update pass:
DECLARE #Data TABLE
(
ID INT IDENTITY(1,1) PRIMARY KEY
,Value VARCHAR(5)
,Number INT
,Total INT
)
INSERT INTO #Data (Value, Number) VALUES ('A',2)
INSERT INTO #Data (Value, Number) VALUES ('A',3)
INSERT INTO #Data (Value, Number) VALUES ('A',3)
INSERT INTO #Data (Value, Number) VALUES ('B',4)
INSERT INTO #Data (Value, Number) VALUES ('B',4)
INSERT INTO #Data (Value, Number) VALUES ('B',5)
INSERT INTO #Data (Value, Number) VALUES ('C',1)
DECLARE
#Value VARCHAR(5)
,#Count INT
UPDATE #Data
SET
#Count = Total = CASE WHEN Value = #Value THEN Number + #Count ELSE Number END
,#Value = Value
FROM #Data AS D
SELECT
Value
,Number
,Total
FROM #Data
There may be better ways, but this should work.