I have 2 tables
Table 1
Customer Name , Order id , Tracking Id
sailesh , 23546 , NULL
nilesh , 26362 , NULL
Table 2
Tracking id , Used
RN167367 , No
RN47282 , NO
I want assign a tracking number in table 1 for each order and then mark it as used.
Thanks in advance
First assign tracking numbers and then mark them:
;with cte1 as(select *, row_number() over(order by orderid) rn
from table1 where trackingid is null),
cte2 as(select *, row_number() over(order by trackingid) rn
from table2 where Used = 'NO')
update c1 set trackingid = c2.trackingid
from cte1 c1
join cte2 c2 on c1.rn = c2.rn
update t2 set Used = 'YES'
from table1 t1
join table2 t2 on t1.trackingid = t2.trackingid
Related
SELECT pid,oid,
item_to_buy AS item_purchase_count
FROM
(SELECT distinct A.pid,A.oid,
B.item_to_buy
//row_number()over(partition by A.oid order by item_to_buy) as RNK
FROM table A
JOIN table B
ON A.product_id=B.product_id
WHERE date='2022-03-03'
AND A.oid IS NOT NULL
AND A.oid=34721248
)
When I run the above query, I'm getting values which I have mentioned below:
PID OID ITEM_PURCHASE_COUNT
93012594908 10021248 NULL
93012594908 10021248 0
93012594908 10021248 1
I want to display only the 3rd row in the result. i.e., The result should look like below:
PID OID ITEM_PURCHASE_COUNT
93012594908 10021248 1
I tried using max, row_number,rank,dense_rank but I didn't get the correct result.
Need guidance on this.
Have you tried a
WHERE item_purchase_count = 1
Or are you trying to say you want the largest. Thus a qualify
QUALIFY row_number() over (partition by pid, oid order by item_purchase_count desc ) = 1
thus:
SELECT
pid,
oid,
item_to_buy AS item_purchase_count
FROM (
SELECT distinct
A.pid,
A.oid,
B.item_to_buy
FROM table A
JOIN table B
ON A.product_id = B.product_id
WHERE date='2022-03-03'
AND A.oid IS NOT NULL
AND A.oid = 34721248
)
QUALIFY row_number() over (partition by pid, oid order by item_purchase_count desc ) = 1
OR actually:
SELECT distinct
A.pid,
A.oid,
B.item_to_buy AS item_purchase_count
FROM table A
JOIN table B
ON A.product_id = B.product_id
WHERE date='2022-03-03'
AND A.oid IS NOT NULL
AND A.oid = 34721248
QUALIFY row_number() over (partition by A.pid, A.oid order by item_purchase_count desc ) = 1
OR if you want to write it in long form:
SELECT
pid,
oid,
item_to_buy AS item_purchase_count
FROM (
SELECT distinct
A.pid,
A.oid,
B.item_to_buy
row_number() over (partition by A.pid, A.oid order by B.item_to_buy desc ) as rnk
FROM table A
JOIN table B
ON A.product_id = B.product_id
WHERE date='2022-03-03'
AND A.oid IS NOT NULL
AND A.oid=34721248
)
WHERE rnk = 1;
helps if you partition the data, cell phones are not the best for writing answers on.. sigh
I am stuck with this. I have a simple set-up with two tables. One table is holding emailaddresses one table is holding vouchercodes. I want to join them in a third table, so that each emailaddress has one random vouchercode.
Unfortunatly I am stuck with this as there are no identic Ids to match both values. What I have so far brings no result:
Select
A.Email
B.CouponCode
FROM Emailaddresses as A
JOIN CouponCodes as B
on A.Email = B.CouponCode
A hint would be great as search did not bring me any further yet.
Edit -
Table A (Addresses)
-------------------
Column A | Column B
-------------------------
email1#gmail.com True
email2#gmail.com
email3#gmail.com True
email4#gmail.com
Table B (Voucher)
-------------------
ABCD1234
ABCD5678
ABCD9876
ABCD5432
Table C
-------------------------
column A | column B
-------------------------
email1#gmail.com ABCD1234
email2#gmail.com ABCD5678
email3#gmail.com ABCD9876
email4#gmail.com ABCD5432
Sample Data:
While joining without proper keys is not a good solution, for your case you can try this. (note: not tested, just a quick suggestion)
;with cte_email as (
select row_number() over (order by Email) as rownum, Email
from Emailaddresses
)
;with cte_coupon as (
select row_number() over (order by CouponCode) as rownum, CouponCode
from CouponCodes
)
select a.Email,b.CouponCode
from cte_email a
join cte_coupon b
on a.rownum = b.rownum
You want to randomly join records, one email with one coupon each. So create random row numbers and join on these:
select
e.email,
c.couponcode
from (select t.*, row_number() over (order by newid()) as rn from emailaddresses t) e
join (select t.*, row_number() over (order by newid()) as rn from CouponCodes t) c
on c.rn = e.rn;
Give a row number for both the tables and join it with row number.
Query
;with cte as(
select [rn] = row_number() over(
order by [Column_A]
), *
from [Table_A]
),
cte2 as(
select [rn] = row_number() over(
order by [Column_A]
), *
from [Table_B]
)
select t1.[Column_A] as [Email_Id], t2.[Column_A] as [Coupon]
from cte t1
join cte2 t2
on t1.rn = t2.rn;
Find a demo here
I have the following query:
SELECT **top 1** account, date, result
FROM table_1 as t1
JOIN table_2 at t2 ON t1.accountId = t2.frn_accountId
WHERE accountID = 1
ORDER BY date
This query returns the result that I want however I want that result for multiple accountID. They query should return the top 1 value for each accountID.
The query that produce the list of the accountID-s is:
SELECT accountID from lskin WHERE refname LIKE '%BHA%' and isactive = 1
How can I write this query so it can produce the desired result? I have been playing around with CTE but haven't been able to make it correct. It doesn't have to be with CTE, I just thought it can be easier using CTE...
Here is CTE solution.
SELECT *
FROM (SELECT account
, date
, result
, ROW_NUMBER() OVER (PARTITION BY t1.accountId ORDER BY date DESC) AS Rownum
FROM table_1 AS t1
INNER JOIN table_2 AS t2
ON t1.accountId = t2.frn_accountId
INNER JOIN lskin AS l
ON l.accountID = t1.accountID
WHERE l.refname LIKE '%BHA%'
) a
WHERE a.Rownum = 1;
Use max on your date and group by the account, or what ever columns are appropriate.
SELECT
account,
DT = max(date),
result
FROM table_1 as t1
JOIN table_2 as t2 ON t1.accountId = t2.frn_accountId
JOIN lskin as l on l.accountID = t1.accountID
WHERE l.refname like '%BHA%'
GROUP BY
account
,result
If the grouping isn't correct, just join to a sub-query to limit it with max date. Just change the table names as necessary.
SELECT
account,
date,
result
FROM table_1 as t1
JOIN table_2 as t2 ON t1.accountId = t2.frn_accountId
JOIN lskin as l on l.accountID = t1.accountID
INNER JOIN (select max(date) dt, accountID from table_1 group by accountID) tt on tt.dt = t1.accountId and tt.accountId = t1.accountId
WHERE l.refname like '%BHA%'
Ignore the CTE at the top. That's just test data.
/* CTE Test Data */
; WITH table_1 AS (
SELECT 1 AS accountID, 'acc1' AS account UNION ALL
SELECT 2 AS accountID, 'acc2' AS account UNION ALL
SELECT 3 AS accountID, 'acc3' AS account
)
, table_2 AS (
SELECT 1 AS frn_accountID, 'new1' AS result, GETDATE() AS [date] UNION ALL
SELECT 1 AS frn_accountID, 'mid1' AS result, GETDATE()-1 AS [date] UNION ALL
SELECT 1 AS frn_accountID, 'old1' AS result, GETDATE()-2 AS [date] UNION ALL
SELECT 2 AS frn_accountID, 'new2' AS result, GETDATE() AS [date] UNION ALL
SELECT 2 AS frn_accountID, 'mid2' AS result, GETDATE()-1 AS [date] UNION ALL
SELECT 2 AS frn_accountID, 'old2' AS result, GETDATE()-2 AS [date] UNION ALL
SELECT 3 AS frn_accountID, 'new3' AS result, GETDATE() AS [date] UNION ALL
SELECT 3 AS frn_accountID, 'mid3' AS result, GETDATE()-1 AS [date] UNION ALL
SELECT 3 AS frn_accountID, 'old3' AS result, GETDATE()-2 AS [date]
)
, lskin AS (
SELECT 1 AS accountID, 'purple' AS refName, 1 AS isActive UNION ALL
SELECT 2 AS accountID, 'blue' AS refName, 1 AS isActive UNION ALL
SELECT 3 AS accountID, 'orange' AS refName, 0 AS isActive UNION ALL
SELECT 4 AS accountID, 'blue' AS refName, 1 AS isActive
)
,
/* Just use the below and remove comment markers around WITH to build Orders CTE. */
/* ; WITH */
theCTE AS (
SELECT s1.accountID, s1.account, s1.result, s1.[date]
FROM (
SELECT t1.accountid, t1.account, t2.result, t2.[date], ROW_NUMBER() OVER (PARTITION BY t1.account ORDER BY t2.[date]) AS rn
FROM table_1 t1
INNER JOIN table_2 t2 ON t1.accountID = t2.frn_accountID
) s1
WHERE s1.rn = 1
)
SELECT lskin.accountID
FROM lskin
INNER JOIN theCTE ON theCTE.accountid = lskin.accountID
WHERE lskin.refName LIKE '%blue%'
AND lskin.isActive = 1
;
EDITED:
I'm still making a lot of assumptions about your data structure. And again, make sure you're querying what you need. CTEs are awesome, but you don't want to accidentally filter out expected results.
With this query what I need SQL to do is update a column value based on another column so that it grabs the most recent MAX ID.
select
max(T1id), t1.v_code
from
[Table1] T1
join
[Table2] t2 on t1.T1Code = t2.T2Code
where
t2.active = 0
and t1.t1activesw = 0
and t1.mapping not like '%selected%'
group by
t1.v_code
I'd like to join the select to the table on the version code id = max(t1.v_code) and then use the code as a sub select just not sure how to finish it.
With this, you get all data from the row for with the highest T1.id for each T1.v_code:
;WITH CTE as
(
SELECT
T1.*,
row_number() over (partition by T1.v_code order by T1.id desc) rn
FROM
[Table1] T1
JOIN
[Table2] t2 on t1.T1Code = t2.T2Code
WHERE
t2.active = 0
and t1.t1activesw = 0
and t1.mapping not like '%selected%'
)
SELECT *
FROM CTE
WHERE rn = 1
Edit: In order to update, replace(as requested in commment)
SELECT *
FROM CTE
WHERE rn = 1
with
UPDATE CTE
SET columnname = 'newvalue'
WHERE rn = 1
this
When I run the code below the ROWID is always 1.
I need to the ID to start at 1 for each item with the same Credit Value.
;WITH CTETotal AS (SELECT
TranRegion
,TranCustomer
,TranDocNo
,SUM(TranSale) 'CreditValue'
FROM dbo.Transactions
LEFT JOIN customers AS C
ON custregion = tranregion
AND custnumber = trancustomer
LEFT JOIN products AS P
ON prodcode = tranprodcode
GROUP BY
TranRegion
,TranCustomer
,TranDocNo)
SELECT
r.RegionDesc
,suppcodedesc
,t.tranreason as [Reason]
,t.trandocno as [Document Number]
,sum(tranqty) as Qty
,sum(tranmass) as Mass
,sum(transale) as Sale
,cte.CreditValue AS 'Credit Value'
,RANK() OVER (PARTITION BY cte.CreditValue ORDER BY cte.CreditValue)AS ROWID
FROM transactions t
LEFT JOIN dbo.Regions AS r
ON r.RegionCode = TranRegion
LEFT JOIN CTETotal AS cte
ON cte.TranRegion = t.TranRegion
AND cte.TranCustomer = t.TranCustomer
AND cte.TranDocNo = t.TranDocNo
GROUP BY
r.RegionDesc
,suppcodedesc
,t.tranreason
,t.trandocno
,cte.CreditValue
ORDER BY CreditValue ASC
EDIT
All the credit values with 400 must have the ROWID set to 1. And all the credit values with 200 must have the ROWID set to 2. And so on and so on.
Do you need something like this?
with cte (item,CreditValue)
as
(
select 'a',8 as CreditValue union all
select 'b',18 union all
select 'a',8 union all
select 'b',18 union all
select 'a',8
)
select CreditValue,dense_rank() OVER (ORDER BY item)AS ROWID from cte
Result
CreditValue ROWID
----------- --------------------
8 1
8 1
8 1
18 2
18 2
In your code replace
,RANK() OVER (PARTITION BY cte.CreditValue ORDER BY cte.CreditValue)AS ROWID
by
,DENSE_RANK() OVER (ORDER BY cte.CreditValue)AS ROWID
You just don't have to use PARTITION, just DENSE_RANK() OVER (ORDER BY cte.CreditValue)
I think the problem is with the RANK() OVER (PARTITION BY clause
you have to partition it by item not by CreditValue
Try this
RANK() OVER (PARTITION BY cte.CreditValue ORDER BY cte.RegionDesc)AS ROWID
Edit: The issue here isn't actually the nesting of the subquery, it's potentially based on partition by having columns that truly make each row unique (or 1)
Rather than ranking within your complex query like this
select
rank() over(partition by...),
*
from
data_source
join table1
join table2
join table3
join table4
order by
some_column
Try rank() or row_number() on the resulting data set, not within it.
For example, using the query above, remove rank() and implement it this way:
select
rank() over(partition by...),
results.*
from (
select
*
from
data_source
join table1
join table2
join table3
join table4
order by
some_column
) as results