Related
I have following data:
DECLARE #temp TABLE (
ID int
,sn varchar(200)
,comment varchar(2000)
,rownumber int
)
insert into #temp values(1,'sn1',NULL,1)
insert into #temp values(2,'sn1','aaa',2)
insert into #temp values(3,'sn1','bbb',3)
insert into #temp values(4,'sn1',NULL,4)
insert into #temp values(5,'sn2',NULL,1)
insert into #temp values(6,'sn2',NULL,2)
insert into #temp values(7,'sn2',NULL,3)
select * from #temp
And I want to output like this:
2 sn1 aaa 2
5 sn2 NULL 1
same sn, if comment have value, get this lower rownumber's record. For sn1, have two records with comment value, so here, get the the record with rownumber=2
If comment doesn't have value, get the lower rownumber's record. For sn2, get the record with rownumber=1
May I know how to write this SQL?
This is a prioritization query. I think row_number() is the simplest method:
select t.*
from (select t.*,
row_number() over (partition by sn
order by (case when comment is not null then 1 else 2 end),
rownumber
) as seqnum
from #temp t
) t
where seqnum = 1;
Here is a db<>fiddle.
I have the following table:
and i want the following output displayed:
the above is basically the (quan*cst) for each day. Now I can acieve this by the following sql:
select t1.pid, isnull(b.m1,0) as day1sale, isnull(a.m2,0) as day2sale
from dbo.test1 t1
left join(select pid, sum(quan*cst) m1
from dbo.test1 where date='2017-05-01' group by pid) b on b.pid=t1.pid
left join (select pid, sum(quan*cst) m2
from dbo.test1 where date='2017-05-02' group by pid) a on a.pid=t1.pid
group by t1.pid,m2 ,m1
order by t1.pid
But i was wondering if there is a simpler way to do it without actually having to hard code the dates?
thanks in advance for the help!
Using a self join to get a list of distinct dates, the result set can be pivoted and the desired aggregates applied to each PID.
CREATE TABLE #TEMP_EXAMPLE
(
[DATE] DATE,
[ID] INT,
[PID] INT,
[QUAN] INT,
[CST] INT
)
INSERT INTO #TEMP_EXAMPLE VALUES('05/01/2017','1','1','2','3')
INSERT INTO #TEMP_EXAMPLE VALUES('05/01/2017','2','2','6','2')
INSERT INTO #TEMP_EXAMPLE VALUES('05/01/2017','3','3','5','1')
INSERT INTO #TEMP_EXAMPLE VALUES('05/01/2017','4','1','1','3')
INSERT INTO #TEMP_EXAMPLE VALUES('05/02/2017','5','3','3','1')
INSERT INTO #TEMP_EXAMPLE VALUES('05/02/2017','6','4','4','7')
INSERT INTO #TEMP_EXAMPLE VALUES('05/02/2017','7','1','7','3')
INSERT INTO #TEMP_EXAMPLE VALUES('05/02/2017','8','5','2','8')
INSERT INTO #TEMP_EXAMPLE VALUES('05/02/2017','9','6','5','6')
INSERT INTO #TEMP_EXAMPLE VALUES('05/02/2017','10','2','8','2')
SELECT ROW_NUMBER() OVER(PARTITION BY 1 ORDER BY [DATE]) AS ID,*
INTO #TEMP_DYNAMIC_DATES
FROM (SELECT DISTINCT [DATE] FROM #TEMP_EXAMPLE ) AS X
SELECT * FROM #TEMP_DYNAMIC_DATES
SELECT PID,ISNULL(DAY1SALE,0) AS DAY1SALE,ISNULL(DAY2SALE,0) AS DAY2SALE FROM (
SELECT PID,SUM([QUAN] * [CST]) AS X, INDIC FROM (
SELECT A.*,
CASE WHEN B.ID = 1 THEN 'DAY1SALE'
WHEN B.ID = 2 THEN 'DAY2SALE'
END AS INDIC
FROM #TEMP_EXAMPLE AS A
JOIN #TEMP_DYNAMIC_DATES AS B
ON A.DATE = B.DATE
) AS X
GROUP BY PID,INDIC) AS O
PIVOT(SUM(X) FOR INDIC IN([DAY1SALE],[DAY2SALE])) AS PT
I am looking for a query which fetches me the data that is different compared to the previous row,
A sample code (with table creation and data)
create table #temp
(id int, eid int, name char(10),estid int, ecid int, epid int, etc char(5) )
insert into #temp values (1,1,'a',1,1,1,'a')
insert into #temp values (2,1,'a',1,1,1,'a')
insert into #temp values (3,1,'a',2,1,1,'a')
insert into #temp values (4,1,'a',1,1,1,'a')
insert into #temp values (5,1,'a',1,1,1,'a')
insert into #temp values (6,1,'a',1,2,1,'a')
insert into #temp values (7,1,'a',1,1,1,'a')
insert into #temp values (8,1,'a',2,1,1,'a')
insert into #temp values (9,1,'a',1,1,1,'a')
insert into #temp values (10,1,'a',1,1,1,'a')
insert into #temp values (11,2,'a',1,1,1,'a')
insert into #temp values (12,2,'a',1,1,1,'a')
insert into #temp values (13,2,'a',2,1,1,'a')
insert into #temp values (14,2,'a',1,1,1,'a')
insert into #temp values (15,2,'a',1,1,1,'a')
insert into #temp values (16,2,'a',1,2,1,'a')
insert into #temp values (17,2,'a',1,1,1,'a')
insert into #temp values (18,2,'a',2,1,1,'a')
insert into #temp values (19,2,'a',1,1,1,'a')
insert into #temp values (20,2,'a',1,1,1,'a')
I tried with some ways of getting the data as the way that i expected
SELECT * INTo #Temp_Final
FROM #temp
WHERE #temp.%%physloc%%
NOT IN (SELECT Min(b.%%physloc%%)
FROM #temp b
GROUP BY eid,name,estid,ecid,epid,etc)
ORDER BY id
SELECT * FROM #temp WHERE id not in (SELECT id FROM #Temp_Final) ORDER BY id
But i wasn't getting the result as i expected...
This is how the result needs to be
select * from #temp where id in (1,3,4,6,7,8,9,11,13,14,16,17,18,19)
You can do this with a simple self-join and appropriate comparison:
select t.*
from #temp t left outer join
#temp tprev
on t.id = tprev.id + 1
where tprev.id is null or
t.name <> tprev.name or
t.estid <> tprev.estid or
t.ecid <> tprev.ecid or
t.epid <> tprev.epid or
t.etc <> tprev.etc;
This assumes that the ids are sequential with no gaps. If the ids are not, you can get the previous id using a correlated subquery or the lag() function.
Your title says "delete" but the question seems to just want the list of such rows. You can phrase this as a delete query if you need to.
For SQL Server 2012 (SQL Fiddle)
WITH CTE
AS (SELECT *,
LAG(eid) OVER (ORDER BY id) AS prev_eid,
LAG(name) OVER (ORDER BY id) AS prev_name,
LAG(estid) OVER (ORDER BY id) AS prev_estid,
LAG(ecid) OVER (ORDER BY id) AS prev_ecid,
LAG(epid) OVER (ORDER BY id) AS prev_epid,
LAG(etc) OVER (ORDER BY id) AS prev_etc
FROM #temp)
DELETE FROM CTE
WHERE EXISTS (SELECT eid,
name,
estid,
ecid,
epid,
etc
INTERSECT
SELECT prev_eid,
prev_name,
prev_estid,
prev_ecid,
prev_epid,
prev_etc)
select
t.id,
t.eid,
t.name,
t.estid,
t.ecid,
t.epid,
t.etc
from #temp t
left join #temp d
on d.id = t.id-1
and d.eid = t.eid
and d.name = t.name
and d.estid = t.estid
and d.ecid = t.ecid
and d.epid = t.epid
and d.etc = t.etc
where d.id is null
I have a db table containing a column display_order. The data looks like this:
2
4
7
10
12
I want to update the same db column and it should look like this:
1
2
3
4
5
Please suggest some easy SQL code.
Have a look into ROW_NUMBER(), this will help you here.
e.g. demo that won't update your data, but will show you the current order and the new order based on ROW_NUMBER
SELECT display_order AS CurrentDisplayOrder,
ROW_NUMBER() OVER (ORDER BY display_order) AS NewDisplayOrder
FROM YourTable
ORDER BY display_order
If that produces what you'd expect, then you can just switch it into an UPDATE statement.
Expanding on AdaTheDev's idea - using a CTE (Common Table Expression) makes it really easy to see how to use the actual UPDATE to update your table. I'm using a table variable #work here to simulate your existing table - just replace my table variable with your own table name:
DECLARE #work TABLE (display_order INT)
INSERT INTO #work VALUES(2)
INSERT INTO #work VALUES(4)
INSERT INTO #work VALUES(7)
INSERT INTO #work VALUES(10)
INSERT INTO #work VALUES(12)
SELECT * FROM #work
;WITH UpdateTable AS
(
SELECT
display_order, new_order = ROW_NUMBER() OVER (ORDER BY display_order)
FROM #work
)
UPDATE #work
SET display_order = u.new_order
FROM #work w
INNER JOIN UpdateTable u ON w.display_order = u.display_order
SELECT * FROM #work
Without CTE (but needs some key in the table)
declare #tbl table(id int primary key identity(1,1),Value int)
insert #tbl values(2)
insert #tbl values(5)
insert #tbl values(3)
select * from #tbl
select *, ROW_NUMBER() over(order by Value) from #tbl order by id
update #tbl set Value = result from #tbl tbl
inner join (select id, ROW_NUMBER() over(order by Value) result from #tbl ) hlp on tbl.id =hlp.ids
select * from #tbl
I have a simple problem , Although i believe its simple , am not able to figure out the same.
Consider i have the below table with exactly same data as given below :
CREATE TABLE #temp
(
link varchar(255),
number INT,
fname varchar(255)
)
insert into #temp VALUES ('abc',1,'f1')
insert into #temp VALUES ('abc',2,'f2')
insert into #temp VALUES ('abc',3,'f3')
insert into #temp VALUES ('abc',4,'f6')
insert into #temp VALUES ('abc',10,'f100')
insert into #temp VALUES ('abe',-1,'f0')
insert into #temp VALUES ('abe',1,'f1')
insert into #temp VALUES ('abe',2,'f2')
insert into #temp VALUES ('abe',3,'f3')
insert into #temp VALUES ('abe',4,'f6')
insert into #temp VALUES ('abe',20,'f200')
insert into #temp VALUES ('cbe',-1,'f0')
insert into #temp VALUES ('cbe',1,'f1')
insert into #temp VALUES ('cbe',2,'f2')
insert into #temp VALUES ('cbe',3,'f3')
Now for a given link , i need to get the max 'number' and the corresponding 'fname' which has the max 'number' for the given 'link'.
1)Ex : if link is 'abc' , output should be
abc, 10, f100
2)Ex : if link if 'abe' , Output should be
abe, 20, f200
3)Now link can be also given as a pattern , like (link like 'ab%') , so output should be
abc, 10, f100
abe, 20, f200
4)if (link like 'cb%') , so output should be
cbe, 3, f3
Any help in writing this group by query. I have a solution using CAST and string concat like below , but that seems to be in-efficient.
select link,number,fname from #temp
where link like 'ab%' and link+'_'+CAST(number AS varchar(255))
in (select link+'_'+CAST(MAX(number) AS varchar(255)) from #temp
group by link)
Thanks..
Using a self join:
SELECT x.link,
x.number,
x.fname
FROM #temp x
JOIN (SELECT t.link,
MAX(t.number) AS max_number
FROM #temp t
GROUP BY t.link) y ON y.link = x.link
AND y.max_number = x.number
Using a CTE and ROW_NUMBER (SQL Server 2005+):
WITH cte AS (
SELECT x.link,
x.number,
x.fname,
ROW_NUMBER() OVER(PARTITION BY x.link
ORDER BY x.number DESC) rank
FROM #temp x)
SELECT c.link,
c.number,
c.fname
FROM cte c
WHERE c.rank = 1