Rows Columns Traverse - sql

I have data in the below format
id idnew
1 2
3 4
2
4 7
6 8
7
Result Should be something like this
ID should be followed by idnew
1
2
3
4
2
4
7
6
8
7
Thanks in advance

This should maintain the order:
SELECT id
FROM (
SELECT id, ROW_NUMBER() OVER (ORDER BY id) AS RowNumber
FROM myTable
UNION ALL
SELECT idnew, ROW_NUMBER() OVER (ORDER BY idnew) +
(SELECT COUNT(*) FROM dbo.myTable) AS RowNumber
FROM myTable
WHERE idnew IS NOT NULL
) a
ORDER BY RowNumber
I am assuming the id column is NOT NULL-able.
NOTE: If you want to keep the NULL values from the idnew column AND maintain the order, then remove the WHERE clause and ORDER BY id in the second select:
SELECT id
FROM (
SELECT id, ROW_NUMBER() OVER (ORDER BY id) AS RowNumber
FROM myTable
UNION ALL
SELECT idnew, ROW_NUMBER() OVER (ORDER BY id) +
(SELECT COUNT(*) FROM dbo.myTable) AS RowNumber
FROM myTable
) a
ORDER BY RowNumber

This is fully tested, try it here: https://rextester.com/DVZXO21058
Setting up the table as you described:
CREATE TABLE myTable (id INT, idnew INT);
INSERT INTO myTable (id, idnew)
VALUES (1, 2),
(3, 4),
(2, NULL),
(4, 7),
(6, 8),
(7, NULL);
SELECT * FROM myTable;
Here is the query to do the trick:
SELECT mixed_id FROM
(
SELECT ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) AS row_num,
id,
idnew
FROM myTable
) AS x
UNPIVOT
(
mixed_id for item in (id, idnew)
) AS y
WHERE mixed_id IS NOT NULL
ORDER BY row_num, mixed_id;
In order not to further complicate the query, this is taking advantage of 'id' would rank ahead of 'idnew' as a string. I believe string ranking is not the key issue here.

Using Cross Apply
;WITH CTE (id,idnew)
AS
(
SELECT 1,2 UNION ALL
SELECT 3,4 UNION ALL
SELECT 2,NULL UNION ALL
SELECT 4,7 UNION ALL
SELECT 6,8 UNION ALL
SELECT 7,NULL
)
SELECT New
FROM CTE
CROSS APPLY ( VALUES (id),(idnew))AS Dt (New)
WHERE dt.New IS NOT NULL
Result
New
---
1
2
3
4
2
4
7
6
8
7

Related

How to group nodes with relationships in SQL

I have the following table which lists related nodes:
;WITH CTE AS
( SELECT *
FROM (VALUES (1,2)
,(2,1)
,(3,4)
,(3,5)
,(4,3)
,(4,5)
,(5,3)
,(5,4)
,(6,NULL)
,(7,NULL)
,(8,9)
,(9,8)
) AS ValuesTable(ID,RelatedID)
)
SELECT *
FROM CTE
How can I assign unique IDS (GUID or integer GroupID) to each group, So, 1 and 2 will be on the same group, 3, 4, 5 on a different group, 6 is alone in it's group and so is 7, and 8 and 9 are one more group?
My answer so far seems very cumbersome:
;WITH CTE AS
( SELECT *
FROM (VALUES (1,2)
,(2,1)
,(3,4)
,(3,5)
,(4,3)
,(4,5)
,(5,3)
,(5,4)
,(6,NULL)
,(7,NULL)
,(8,9)
,(9,8)
) AS ValuesTable(ID,RelatedID)
)
SELECT DENSE_RANK() OVER(ORDER BY CA.IDList) AS GroupID,
ID,
RelatedID
FROM CTE
CROSS APPLY (SELECT STUFF((SELECT ',' + CONVERT(NVARCHAR(255), ID)
FROM CTE AS CTEInner
WHERE CTEInner.ID = CTE.ID
OR CTEInner.ID = CTE.RelatedID
OR CTEInner.RelatedID = CTE.RelatedID
OR CTEInner.RelatedID = CTE.ID
FOR XML PATH(''),TYPE).value('(./text())[1]','NVARCHAR(MAX)'),1,1,'') AS IDList) AS CA
But it provides the correct answer:
GroupID ID RelatedID
1 1 2
1 2 1
2 3 4
2 3 5
2 4 3
2 4 5
2 5 3
2 5 4
3 6 NULL
4 7 NULL
5 8 9
5 9 8
Adding a unique number for each group is not hard but it does require a few steps.
The first step would be to select unique values for the groups - so for instance the group with (1, 2) and (2, 1) will contain only a single record - (1, 2).
The next step is to get rid of the records that creates multiple paths for the same relationship - in this case - (3, 4), (4, 5), (3, 5) - means that 5 is the related to both 3 and 4, but for the recursive cte to work, we only need a single relationship path - so either (3, 4), (4, 5) or (3, 4), (3, 5) but not both.
The next step is to create a recursive cte based on these unique values, so that each group can get it's unique number.
After that, you can select from the original cte joined to the recursive cte and get the unique group numbers:
;WITH CTE AS
( SELECT *
FROM (VALUES (1,2)
,(2,1)
,(3,4)
,(3,5)
,(4,3)
,(4,5)
,(5,3)
,(5,4)
,(6,NULL)
,(7,NULL)
,(8,9)
,(9,8)
) AS ValuesTable(ID,RelatedID)
)
, PreUniqueValues AS
(
SELECT MIN(ID) AS ID,
MAX(RelatedID) As RelatedID
FROM CTE AS B
GROUP BY (ID + ISNULL(RelatedID, 0)) + (ID * ISNULL(RelatedID, 0))
)
, UniqueValues AS
(
SELECT ID, MIN(RelatedID) As RelatedID
FROM PreUniqueValues
GROUP BY ID
)
, Recursive AS
(
SELECT ID, RelatedId, DENSE_RANK() OVER(ORDER BY ID) As GroupID
FROM UniqueValues AS T0
WHERE NOT EXISTS
(
SELECT 1
FROM UniqueValues AS T1
WHERE T1.ID = T0.RelatedID
)
UNION ALL
SELECT UV.ID, UV.RelatedID, GroupID
FROM UniqueValues As UV
JOIN Recursive As Re
ON UV.ID = Re.RelatedId
)
SELECT CTE.ID, CTE.RelatedID, GroupID
FROM CTE
JOIN Recursive
ON CTE.ID = Recursive.ID OR CTE.ID = ISNULL(Recursive.RelatedID, 0)
ORDER BY ID
Results:
ID RelatedID GroupID
1 2 1
2 1 1
4 3 2
4 5 2
5 3 2
5 4 2
6 NULL 3
7 NULL 4
8 9 5
9 8 5
This is a graph-walking problem and you would seem to need recursive CTEs. The logic looks like this:
WITH t AS (
SELECT *
FROM (VALUES (1,2)
,(2,1)
,(3,4)
,(3,5)
,(4,3)
,(4,5)
,(5,3)
,(5,4)
,(6,NULL)
,(7,NULL)
,(8,9)
,(9,8)
) AS ValuesTable(ID,RelatedID)
),
cte as (
select distinct id, id as relatedId, ',' + convert(varchar(max), id) + ',' as relatedIds
from t
union all
select cte.id, t.relatedId, cte.relatedIds + convert(varchar(max), t.relatedId) + ','
from cte join
t
on cte.relatedId = t.id
where cte.relatedId is not null and
cte.relatedIds not like '%,' + convert(varchar(max), t.relatedId) + ',%'
)
SELECT id, min(relatedId) as grp,
dense_rank() over (order by min(relatedId)) as grp_number
FROM cte
GROUP BY id;
Here is a db<>fiddle.

combining strings from muliple rows in sql server

How can I obtain the below output in sql server 2012.
Table
ID | Values|
1 a
1 b
1 c
2 d
2 e
The output should be such that the first row has a fixed number of values(2) seperated by comma and the next row has the remaining values seperated by comma
ID
ID | Values|
1 a,b
1 c
2 d,e
Each id should contain maximum two values in a single row.The remaining values should come in the next row.
Try to use my code:
use db_test;
create table dbo.test567
(
id int,
[values] varchar(max)
);
insert into dbo.test567
values
(1, 'a'),
(1, 'b'),
(1, 'c'),
(2, 'd'),
(2, 'e')
with cte as (
select
id,
[values],
row_number() over(partition by id order by [values] asc) % 2 as rn1,
(row_number() over(partition by id order by [values] asc) - 1) / 2 as rn2
from dbo.test567
), cte2 as (
select
id, max(case when rn1 = 1 then [values] end) as t1, max(case when rn1 = 0 then [values] end) as t2
from cte
group by id, rn2
)
select
id,
case
when t2 is not null then concat(t1, ',', t2)
else t1
end as [values]
from cte2
order by id, [values]

select based on specific values

I have this table:
ID NO.
111 6
222 7
333 9
111 8
333 4
222 3
111 7
222 5
333 2
I want to select only 2 ID numbers from table where NO. column equal specific values.
For example i tried this query but i didn't get the expected result:
SELECT top 2 * FROM mytable where NO. in
(select NO. from mytable )
Expected result:
111 6
111 8
222 7
222 3
333 9
333 3
You seem to want to select two rows in the table for each id, based on a condition on the No column. For this, one method uses row_number():
select t.*
from (select t.*, row_number() over (partition by id order by id) as seqnum
from mytable t
where <condition goes here>
) t
where seqnum <= 2;
I'm guessing (333,3) is a mistake and you expect (333,2). If not I have no idea.
SELECT
ua.ID
, ua.[NO.]
FROM (
SELECT
ROW_NUMBER() OVER (PARTITION BY ID ORDER BY t.[NO.] ASC) AS RowNum
, t.ID
, t.[NO.]
FROM dbo.t1 AS t
UNION ALL
SELECT
ROW_NUMBER() OVER (PARTITION BY ID ORDER BY t.[NO.] DESC)
, ID
, t.[NO.]
FROM dbo.t1 AS t
) ua
WHERE ua.RowNum = 1
ORDER BY ID, ua.[NO.] DESC
If you're just trying to get top 2 values for each group, you need something to define the order, ie. a third column. Then you don't need UNION ALL, just use WHERE ua.RowNum < 3.
/*Select 2 random rows per id where the number of rows per id can vary between 1 and infinity
A good article for this:-*/
--https://www.mssqltips.com/sqlservertip/3157/different-ways-to-get-random-data-for-sql-server-data-sampling/
DECLARE #TABLE TABLE(ID INT,NO INT)
INSERT INTO #TABLE
VALUES
(111, 6),
(222, 7),
(333 , 9),
(111 , 8),
(333 , 4),
(222 , 3),
(111 , 7),
(222 , 5),
(333 , 2)
select t.* from
(
Select s.* ,ROW_NUMBER() OVER(PARTITION BY ID ORDER BY randomnumber) ROWNUMBER
from
(
SELECT ID,NO,
(ABS(CHECKSUM(NEWID())) % 100001) + ((ABS(CHECKSUM(NEWID())) % 100001) * 0.00001) [randomnumber]
FROM #TABLE
) s
) t
where t.rownumber < 3

Group by values that are in sequence

I have some table like this
row chequeNo
1 15
2 19
3 20
4 35
5 16
and I need to get the result like this
row from to
1 15 16
2 19 20
3 35 35
so I need groups of chequeNo where values would be sequential without any interruptions. chequeNo is unique column. Additionally it should be done with one sql select query, because I haven't permissions to create any sql structures except select queries.
So is it possible?
Would be grateful for any help
You can use Aketi Jyuuzou's technique called Tabibitosan here:
SQL> create table mytable (id,chequeno)
2 as
3 select 1, 15 from dual union all
4 select 2, 19 from dual union all
5 select 3, 20 from dual union all
6 select 4, 35 from dual union all
7 select 5, 16 from dual
8 /
Table created.
SQL> with tabibitosan as
2 ( select chequeno
3 , chequeno - row_number() over (order by chequeno) grp
4 from mytable
5 )
6 select row_number() over (order by grp) "row"
7 , min(chequeno) "from"
8 , max(chequeno) "to"
9 from tabibitosan
10 group by grp
11 /
row from to
---------- ---------- ----------
1 15 16
2 19 20
3 35 35
3 rows selected.
Regards,
Rob.
This should work with Oracle 10 (only tested with Oracle 11)
select group_nr + 1,
min(chequeno) as start_value,
max(chequeno) as end_value
from (
select chequeno,
sum(group_change_flag) over (order by rn) as group_nr
from (
select row_number() over (order by chequeno) as rn,
chequeno,
case
when chequeno - lag(chequeno,1,chequeno) over (order by chequeno) <= 1 then 0
else 1
end as group_change_flag
from foo
) t1
) t2
group by group_nr
order by group_nr
(it should work with any DBMS supporting standard SQL windowing functions, e.g. PostgreSQL, DB2, SQL Server 2012)
Here is a "plain vanilla" approach:
SELECT T1.chequeNo, T2.chequeNo
FROM Table1 AS T1 INNER JOIN Table1 AS T2 ON T2.chequeNo >= T1.chequeNo
WHERE
NOT EXISTS (SELECT T0.chequeNo FROM Table1 T0 WHERE T0.chequeNo IN ((T1.chequeNo-1), (T2.chequeNo+1)))
AND (SELECT COUNT(*) FROM Table1 T0 WHERE T0.chequeNo BETWEEN T1.chequeNo AND T2.chequeNo)=(T2.chequeNo - T1.chequeNo + 1)
ORDER BY 1,2
Please let me know if it's too inefficient for large data sets.
CREATE TABLE YOUR_TABLE (
chequeNo NUMBER PRIMARY KEY
);
INSERT INTO YOUR_TABLE VALUES (15);
INSERT INTO YOUR_TABLE VALUES (19);
INSERT INTO YOUR_TABLE VALUES (20);
INSERT INTO YOUR_TABLE VALUES (35);
INSERT INTO YOUR_TABLE VALUES (16);
SELECT T1.chequeNo "from", T2.chequeNo "to"
FROM
(
SELECT chequeNo, ROW_NUMBER() OVER (ORDER BY chequeNo) RN
FROM (
SELECT chequeNo, LAG(chequeNo) OVER (ORDER BY chequeNo) PREV
FROM YOUR_TABLE
)
WHERE PREV IS NULL OR chequeNo > PREV + 1
) T1
JOIN
(
SELECT chequeNo, ROW_NUMBER() OVER (ORDER BY chequeNo) RN
FROM (
SELECT chequeNo, LEAD(chequeNo) OVER (ORDER BY chequeNo) NEXT
FROM YOUR_TABLE
)
WHERE NEXT IS NULL OR chequeNo < NEXT - 1
) T2
USING (RN);
Result:
from to
---------------------- ----------------------
15 16
19 20
35 35
If we spice things up a little...
INSERT INTO YOUR_TABLE VALUES (17);
INSERT INTO YOUR_TABLE VALUES (18);
...we get:
from to
---------------------- ----------------------
15 20
35 35

Is it possible to write a sql query that is grouped based on a running total of a column?

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.