Removing duplicate results - sql

I have a view with some records, many of them are duplicated. I need to filter records and get only one from each of them.
I've tried with
SELECT TOP 1 Item, Code, Desc, '1' AS Qty FROM vwTbl1 WHERE Code = '12' OR Code = '311'
Also tried with DISTINCT but still I get all records.
but in this case it shows me only one record. Grouping by Code doesn't work.
Is there any other way how to solve this?
Item | Code | Desc | QTY
a | 12 | 1 |1
a | 311 | 2 |1
b | 12 | 3 |1
b | 311 | 4 |1
c | 1 | 5 |1
Reult should be like:
Item | Code | Desc | QTY
a | 12 | 1 |1
b | 311 | 3 |1
So for each criteria get the first record.

The typical way of doing this uses row_number():
SELECT TOP 1 Item, Code, Desc, 1 AS Qty
FROM (SELECT v.*,
ROW_NUMBER() OVER (PARTITION BY Code ORDER BY (SELECT NULL)) as seqnum
FROM vwTbl1
WHERE Code IN ('12', '311') -- don't use single quotes if these are numbers
) v
WHERE seqnum = 1;

SELECT Top 1 *
FROM
(
SELECT Item, Code, Desc, '1' AS Qty
FROM vwTbl1 WHERE Code = '12' OR Code ='311'
)A
Edited Code based on your expected result:
Declare #YourTable table (Id INT IDENTITY(1,1),Item varchar(50),Code INT,
_Desc INT,Qty INT)
Insert into #YourTable
SELECT 'a',12,1,1 UNION ALL
SELECT 'a',311,2,1 UNION ALL
SELECT 'b',12,3,1 UNION ALL
SELECT 'b',311,4,1 UNION ALL
SELECT 'c',1 ,5 ,1
SELECT Item ,A.Code , _Desc ,Qty
FROM #YourTable T
JOIN
(
SELECT MAX(Id) Id, Code FROM #YourTable GROUP BY Code
)A ON A.Id = T.Id

Related

Select rows where main value has disabled status and sub value is active

I have a table containing customer agreement numbers and a status field indicating whether that agreement is active or not - 1 for active, 0 for disabled.
A main customer number contains 5 digits, from which other subagreements can be made. These other agreements are characterized by a 10 digit number, the first 5 coming from the main number and the last 5 autogenerated.
Note that not all main agreements necessarily have subagreements.
Heres a simplified snippet of the table I currently get from my query:
+-------------+----------+------------+--+
| CustNumber| CustName | CustStatus | |
+-------------+----------+------------+--+
|12345 | Cust1 | 1 | |
|1234500001 | Cust1 | 1 | |
|1234500002 | Cust1 | 0 | |
|12346 | Cust2 | 0 | |<---
|1234600001 | Cust2 | 1 | |<---
|1234600002 | Cust2 | 0 | |
+-------------+----------+------------+--+
Query:
SELECT
custnumber,
custstatus,
custname
FROM table
WHERE LEFT(custnumber, 5) IN (
SELECT LEFT(custnumber, 5)
FROM table
GROUP BY LEFT(custnumber, 5)
HAVING Count(*) > 1
)
ORDER BY custnumber,
custstatus DESC;
From here I'm pretty lost. I'm thinking something along the lines of an inner join on a subquery but I'm really not sure.
What I'm looking for is a query that selects rows with subagreement numbers that are active but where the main agreement number is disabled.
I'm new to SQL and have spend a good while searching around for similar questions, but I actually don't know how to describe this problem in a google-friendly manner.
Join the table with itself - I am using a WITH clause for readability, but that is not necessary - and check the statuses.
with main_rows as
(
select custnumber as main_number, custname, custstatus
from mytable
where length(custnumber) = 5
)
, sub_rows as
(
select
left(custnumber, 5) as main_number,
right(custnumber, 5) as sub_number,
custname,
custstatus
from mytable
where length(custnumber) = 10
)
select
main_number,
m.custname as main_name,
s.sub_number,
s.custname as sub_name
from main_rows m
join sub_rows s using (main_number)
where m.custstatus = 0 and s.custstatus = 1
order by main_number, s.sub_number;
And here is the same thing, but shorter and just not as talkative :-)
select *
from mytable m
join mytable s on s.custnumber like m.custnumber || '_____'
where m.custstatus = 0 and s.custstatus = 1
order by s.custnumber;
https://dbfiddle.uk/?rdbms=sqlserver_2019&fiddle=5873044787e5fd3f32f7648dbc54a7b0
with data (CustNumber, CustName, CustStatus) as(
Select '12345' ,'Cust1',1 union all
Select '1234500001' ,'Cust1',1 union all
Select '1234500002' ,'Cust1',0 union all
Select '12346' ,'Cust2',0 union all
Select '1234600001' ,'Cust2',1 union all
Select '1234600002' ,'Cust2',0
)
,subagg (k,CustNumber, CustName, CustStatus) as(
select Left(CustNumber,5) k,CustNumber, CustName, CustStatus
from data
where len(CustNumber)=10
and CustStatus = 1
)
select s.CustNumber ActiveSunCustomer, d.CustNumber InactivePrimaryCustomer
from subagg s
join data d on d.CustNumber=s.k and d.CustStatus = 0

SQL Server 2012 - Find a steadily rising value of a column

I have a table like below:
ID | Name | Ratio | Miles
____________________________________
1 | ABC | 45 | 21
1 | ABC | 46 | 24
1 | ABC | 46 | 25
2 | PQR | 41 | 19
2 | PQR | 39 | 17
3 | XYZ | 27 | 13
3 | XYZ | 26 | 11
4 | DEF | 40 | 18
4 | DEF | 40 | 18
4 | DEF | 42 | 20
I want to write a query that will find an ID whose Miles value has been steadily rising.
For instance,
Miles values of Name 'ABC' and 'DEF' are steadily rising.
It's fine if the Miles value drops by up to 5% and rises again.
It should also include this Name.
I tried self join on this table but it gives me Cartesian product.
Can anyone help me with this?
I am using SQL server 2012.
Thanks in advance!
SQL tables represent unordered sets. Let me assume that you have a column that specifies the ordering. Then, you can use lag() and some logic:
select id, name
from (select t.*,
lag(miles) over (partition by id order by orderingcol) as prev_miles
from t
) t
group by id, name
having min(case when prev_miles is null or miles >= prev_miles * 0.95 then 1 else 0 end) = 1;
The having clause is simply determining if all the rows meet your specific condition.
try this:
Note: 5% case is not handled here
create table #tmp(ID INT,Name VARCHAR(50),Ratio INT,Miles INT)
INSERT INTO #tmp
SELECT 1,'ABC',45,21
union all
SELECT 1,'ABC',46,24
union all
SELECT 1,'ABC',46,25
union all
SELECT 2,'PQR',41,19
union all
SELECT 2,'PQR',39,17
union all
SELECT 3,'XYZ',27,13
union all
SELECT 3,'XYZ',26,11
union all
SELECT 4,'DEF',40,18
union all
SELECT 4,'DEF',40,18
union all
SELECT 4,'DEF',42,21
Select *,CASE WHEN Miles<=LEAD(Miles,1,Miles) OVER(partition by ID Order by ID) THEN 1
--NEED ADD 5%condition Here
ELSE 0 END AS nextMiles
into #tmp2
from #tmp
;with cte
AS(
select * , ROW_NUMBER() OVER (partition by ID,nextMiles order by ID) rn from #tmp2
)
SELECT DISTINCT ID,Name FROM cte WHERE rn>1
Drop table #tmp
Drop table #tmp2

How to create a condition for this case?

Sample Table:
Id |Acc_Code|Description |Balance | Acclevel| Acctype| Exttype|
--- -------- ----------------- |-------- |-------- | -------| -------|
1 |SA |Sales | 0.00 | 1 | SA | |
2 |CS |Cost of Sales | 0.00 | 1 | CS | |
3 |5000/001|Revenue | 94.34 | 2 | SA | |
4 |5000/090|Sales(Local) | 62.83 | 2 | SA | |
5 |7000/000|Manufacturing Acc |-250.80 | 2 | CS | MA |
6 |7000/200|Manufacturing Acc | 178.00 | 2 | CS | |
This is a sample data of a temporary table which would be used to be inserted into another temporary table that would calculate the data for Profit and Loss Statement (For Manufacturing related Accounts only).
In this case, the acc_code for Manufacturing accounts start from 7000/000 and separated/partitioned for each following Exttype.
Eg: We start from the exttype of MA and based on its acclevel (could be 2 or more) until the next exttype.
The idea is we get the manufacturing accounts by SELECT FROM tmp_acc_list WHERE acc_code BETWEEN #start_acc_code (7000/000 in this case) AND #end_acc_code (the data before the next exttype)
I don't know what the exttype is, I'm still learning the tables.
How do we create the #end_acc_code part out from this sample table?
So here is a all in one script.
I created Your table for test:
create table #tmp_acc_list(
Id numeric,
Acc_Code nvarchar(100),
Acclevel numeric,
Acctype nvarchar(100),
Exttype nvarchar(100));
GO
insert into #tmp_acc_list(Id, Acc_Code, Acclevel, Acctype, Exttype)
select 1 , 'SA', 1,'SA', null union all
select 2 , 'CS', 1,'CS', null union all
select 3 , '5000/001', 2,'SA', null union all
select 4 , '5000/090', 2,'SA', null union all
select 5 , '7000/000', 2,'CS', 'MA' union all
select 6 , '7000/200', 2,'CS', null
;
Then comes the query:
with OrderedTable as -- to order the table is Id is not an order
(
select
t.*, ROW_NUMBER() over (
order by id asc --use any ordering You need here
)
as RowNum
from
#tmp_acc_list as t
),
MarkedTable as -- mark with common number
(
select
t.*,
Max(case when t.Exttype is null then null else t.RowNum end)
over (order by t.RowNum) as GroupRownum
from OrderedTable as t
),
GroupedTable as -- add group Exttype
(
select
t.Id, t.Acc_Code, t.Acclevel, t.Acctype, t.Exttype,
max(t.Exttype) over (partition by t.GroupRownum) as GroupExttype
from MarkedTable as t
)
select * from GroupedTable where GroupExttype = 'MA'
Is this what You need?
select *
from
(
select Id, Acc_Code
from tmp_acc_list
where Acc_Code = '7000/000'
) s
cross join tmp_acc_list a
cross apply
(
select top 1 x.Id, x.Acc_Code
from tmp_acc_list x
where x.Id >= a.Id
and x.AccLevel = a.AccLevel
and x.Acctype = a.Acctype
and x.Exttype = ''
order by Id desc
) e
where a.Id between s.Id and e.Id

SQL 1 row twice

I have SQL table what looks like:
+----------+-----------+
| ID | Direction |
+----------+-----------+
| 1 | left |
| 1 | null |
| 2 | left |
| 2 | null |
| 3 | null |
| 4 | left |
| 4 | null |
| 5 | null |
+----------+-----------+
I want to show each value only once:
If there will be ID 1 with Direction null and left, then show only ID 1 with direction left.
If there will be ID 1 only with null value, show it with null value.
Use a common table expression (cte):
with cte as
(
Your huge select...
)
select *
from cte t1
where t1.Direction = 'left'
or not exists (select * from cte t2
where t2.kanbanid = t1.kanbanid
and t2.Direction = 'left')
I.e. if your select has Direction 'left' for a kanbanid, return that row. Also return that row if same kanbanid has no Direction 'left' at all.
Why wont below query work:
select id,max(dir)
from #temp
group by id
below is test data:
create table #temp
(
id int,
dir char(10)
)
insert into #temp
select 1,'left'
union all
select 1,null
union all
select 2,null
union all
select 3,'right'
union all
select 3,null
union all
select 3,null
select id,max(dir)
from #temp
group by id
aggregate functions will ignore null,below is the output:
select distinct *,
row_number() over (partition by id order by ,Direction )as row1 into #any_table
from #your_table_name
select * from #any_table
where row1 =1

MSSQL: Only last entry in GROUP BY (with id)

Following / copying computhomas's question, but adding some twists...
I have the following table in MSSQL2008
id | business_key | result | date
1 | 1 | 0 | 9
2 | 1 | 1 | 8
3 | 2 | 1 | 7
4 | 3 | n | 6
5 | 4 | 1 | 5
6 | 4 | 0 | 4
And now i want to group based on the business_key returning the complete entry with the newest date.
So my expected result is:
id | business_key | result | date
1 | 1 | 0 | 9
3 | 2 | 1 | 7
4 | 3 | n | 6
5 | 4 | 1 | 5
I also bet that there is a way to achieve that, i just can't find / see / think of it at the moment.
edit: sorry about this, I actually meant something else from original question I did. I felt like editing this might be better than accepting a solution and making another question. my original problem was that I am not filtering by id.
SELECT t.*
FROM
(
SELECT *, ROW_NUMBER() OVER
(
PARTITION BY [business_key]
ORDER BY [date] DESC
) AS [RowNum]
FROM yourTable
) AS t
WHERE t.[RowNum] = 1
SELECT
*
FROM
mytable
WHERE
ID IN (SELECT MAX(ID) FROM mytable GROUP BY business_key)
SELECT
MAX(T1.id) AS [id],
T1.business_key,
T1.result
FROM
dbo.My_Table T1
LEFT OUTER JOIN dbo.My_Table T2 ON
T2.business_key = T1.business_key AND
T2.id > T1.id
WHERE
T2.id IS NULL
GROUP BY T1.business_key,
T1.result
ORDER BY MAX(T1.id)
Edited based on clarifications
SELECT M1.*
FROM My_Table M1
INNER JOIN
(
SELECT [business_key], MAX([date]) as MaxDate
FROM My_Table
GROUP BY [business_key]
) M2 ON M1.business_key = M2.business_key AND M1.[date] = M2.MaxDate
ORDER BY M1.[id]
Assuming the combination of business_key & date is unique then....
Working example (3rd time is a charm):
declare #src as table(id int, business_key int,result int,[date] int)
insert into #src
SELECT 1,1,0,9
UNION SELECT 2,1,1,8
UNION SELECT 3,2,1,7
UNION SELECT 4,3,1,6
UNION SELECT 5,4,1,5
UNION SELECT 6,4,0,4
;with bkdate(business_key,[date])
AS
(
select business_key,MAX([date])
from #src
group by business_key
)
select src.* from #src src
inner join bkdate
ON src.[date] = bkdate.date
and src.business_key = bkdate.business_key
order by id
How about (edited after question change):
with latestdate as (
select business_key, maxdate=max(date)
from the_table
group by business_key
), latest as (
select ID = max(id)
from the_table
inner join latestdate
on the_table.business_key=latestdate.business_key
and the_table.date=latestdate.maxdate
group by the_table.business_key
)
select the_table.*
from the_table
inner join latest
on latest.id=the_table.id