I need to transpose data that looks like the following. I don't need to use any aggregate functions, just want to transpose columns to rows.
Current view:
Name | Code1 | Code2 | Code3 | Pct1 | Pct2 | Pct3 | Amt1 | Amt2 | Amt3
Name1 123 124 125 50 25 25 1000 1500 1555
Name2 123 124 125 50 25 25 1222 1520 1600
What I Need:
AccountName | Code# | Pct | Amt
Name1 123 50 1000
Name1 124 25 1500
Name1 125 25 1555
Name2 123 50 1222
Name2 124 25 1520
Name2 125 25 1600
if this is possible, could you also include where I would place my joins if I need to use data in a different table?
I'm using SQL Server Management Studio 2014 and I don't have the permission to create tables
This is a neat trick using table valued expression
SELECT [Name], ca.*
From myTable
CROSS APPLY (Values
(Code1, Pct1, Amt1),
(Code2, Pct2, Amt2),
(Code3, Pct3, Amt3)
) ca([Code#], [Pct], [Amt])
select
Name,
case n when 1 then Code1 when 2 then Code2 when 3 then Code3 end as Code,
case n when 1 then Pct1 when 2 then Pct2 when 3 then Pct3 end as Pct,
case n when 1 then Amt1 when 2 then Amt2 when 3 then Amt3 end as Amt
from T cross join (values (1), (2), (3)) multiplier(n)
The basic idea is to triplicate the rows and then use case to pick out the correct values.
Related
I have a table as follows:
Order_ID
Ship_num
Item_code
Qty_to_pick
Qty_picked
Pick_date
1111
1
1
3000
0
Null
1111
1
2
2995
1965
2021-05-12
1111
2
1
3000
3000
2021-06-24
1111
2
2
1030
0
Null
1111
3
2
1030
1030
2021-08-23
2222
1
3
270
62
2021-03-18
2222
1
4
432
0
Null
2222
2
3
208
0
Null
2222
2
4
432
200
2021-05-21
2222
3
3
208
208
2021-08-23
2222
3
4
232
200
2021-08-25
From this table,
I only want to show the rows that has the latest ship_num information, not the latest pick_date information (I was directed to a question like this that needed to return the rows with the latest entry time, I am not looking for that) for an order i.e., I want it as follows
Order_ID
Ship_num
Item_code
Qty_to_pick
Qty_picked
Pick_date
1111
3
2
1030
1030
2021-08-23
2222
3
3
208
208
2021-08-23
2222
3
4
232
200
2021-08-25
I tried the following query,
select order_id, max(ship_num), item_code, qty_to_pick, qty_picked, pick_date
from table1
group by order_id, item_code, qty_to_pick, qty_picked, pick_date
Any help would be appreciated.
Thanks in advance.
Using max(ship_num) is a good idea, but you should use the analytic version (with an OVER clause).
select *
from
(
select t.*, max(ship_num) over (partition by order_id) as orders_max_ship_num
from table1 t1
) with_max
where ship_num = orders_max_ship_num
order by order_id, item_code;
You can get this using the DENSE_RANK().
Query
;with cte as (
select rnk = dense_rank()
over (Partition by order_id order by ship_num desc)
, *
from table_name
)
Select *
from cte
Where rnk =1;
How to keep only the most recent chain?
ID Name Chain_id Chain_n
ABC Juan 123 1
ABC Juan 123 2
ABC Juan 123 3
ABC Juan 456 1
ABC Juan 456 2
ABC Juan 456 3
ABC Juan 789 1 Keep this
ABC Juan 789 2 Keep this
DEF Ana 234 1
DEF Ana 234 2
DEF Ana 567 1 Keep this
GHI Jill 345 1
GHI Jill 345 2
GHI Jill 678 1 Keep this
GHI Jill 678 2 Keep this
GHI Jill 678 3 Keep this
Tried to use common querys for duplicates, but based on just two columns it removes all records except 1, and I need to keep all the chain
select *
from t
where (columns-to-be-compared) in (select columns-to-be-compared
from t
group by columns-to-be-compared
having count(*) > 1 )
I need only to keep the last 2 records for ABC,789,1 and 2 for example, the rows marked on the table, chains with greater chain_id
We used an additional column "Name"
Delete from temptable
where rowid in
( select rwid
from ( select rowid rwid,
row_number() over (partition by ID, Name order by chain_id desc) rn
from temptable
) t
where rn > 1
);
I have two table first A having column id,phone_number,refer_amount
and second B having column phone_number,transaction_amount
now i want sum() of refer_amount and transaction_amount and count() of phone_number from both table using group by phone_number without using inner query
Table A
phone_number refer_amount
123 50
456 80
789 90
123 90
123 80
123 20
456 20
456 79
456 49
123 49
Table B
phone_number transaction_amount
123 50
123 51
123 79
456 22
456 11
456 78
456 66
456 88
456 88
456 66
789 66
789 23
789 78
789 46
i have tried following query but it gives me wrong output:
SELECT a.phone_number,COUNT(a.phone_number) AS refer_count,SUM(a.refer_amount) AS refer_amount,b.phone_number,COUNT(b.phone_number) AS toal_count,SUM(b.transaction_amount) AS transaction_amount FROM dbo.A AS a,dbo.B AS b WHERE a.phone_number=b.phone_number GROUP BY a.phone_number,b.phone_number
output (wrong):
phone_number refer_count refer_amount phone_number transaction_count transaction_amount
123 15 867 123 15 900
456 28 1596 456 28 1676
789 5 450 789 5 291
output (That I want):
phone_number refer_count refer_amount phone_number transaction_count transaction_amount
123 5 289 123 3 180
456 4 228 456 7 419
789 1 90 789 5 291
I would do the aggregations on the B table in a separate subquery, and then join to it:
SELECT
a.phone_number,
COUNT(a.phone_number) AS a_cnt,
SUM(a.refer_amount) AS a_sum,
COALESCE(b.b_cnt, 0) AS b_cnt,
COALESCE(b.b_sum, 0) AS b_sum
FROM A a
LEFT JOIN
(
SELECT
phone_number,
COUNT(*) AS b_cnt,
SUM(transaction_amount) AS b_sum
FROM B
GROUP BY phone_number
) b
ON a.phone_number = b.phone_number;
One major potential issue with your current approach is that the join could result in duplicate counting, as a given phone_number record in the A table gets replicated due to the join.
Speaking of joins, note that above I use an explicit join, rather than the implicit one you were using. In general, you should not put commas into the FROM clause.
This can help. You don't need sum(b.phone_number) when checking for a.phone_number = b.phone_number. Distinct is needed for phone number as there are two columns to consider.
For group by, anything not in aggregate function needs to be in group by function.
select a.phone_number, count(distinct a.phone_number), sum(a.refer_amount),
sum (b.transaction_amount)
from A as a, B as b
where a.phone_number=b.phone_number
group by a.phone_number
I have a similar problem like this thread but is bit different what it required
https://community.oracle.com/thread/4132183
I have the following table:
Table1:
ID empID employeeactive dtefrom dateto mgrid
1 123 1 1/10/2016 113
2 213 0 1/20/2015 1/20/2016 323
3 213 1 1/20/2016 423
4 312 0 1/05/2016 1/30/2017 523
5 512 1 1/30/2017 623
6 812 1 2/30/2017 6543
Table2:
empID emplyactive supid
123 1 -
213 1 -
312 1 -
512 0 -
612 1 -
712 1 -
812 1 872
912 0 222
I have this table instead of - i want to replace with mgrid in table 1.. and table2 have extra data which is not in table1 so i have to ignore the extra data if supid '-' and also want to have emplyactive =1 but some of the emplyactive=1 table 1 has multiple mgr id ...
so I tried this one
select empid , decode(supid,'-',mgrid,supid) from table2,table1 where
empid(+) = empid and emplyactive =1 and employeeactive=1
so I am getthing how to solve this please help me out thank you .. if some thing like and exists will work thanks in advance.
This is what I am trying to insert in a package body oracle.
This is how the output looks like:
empID emplyactive supid
123 1 113
213 1 423
812 1 872
select a.empid, a.emplyactive, max(a.supid) supid
from (
select * from #table2
union
select empid, employeeactive, mgrid from #table1)a
left join #table1 b on a.empid=b.empid and employeeactive=1
join #table2 c on a.empid=c.empid and c.emplyactive=1
where a.emplyactive=1
and a.supid<>0
group by a.empid, a.emplyactive
Table 1
I_ID S_id E_id
1000 1234 123
1002 1235 12
1002 1235 13
1003 3456 234
1004 1256 236
1004 1257 236
1005 1239 236
Table2
Desc SS_id EE_id
aaaa 1234 125
bbbb 1235 13
cccc 2222 234
hhhh 4444 236
jjjj 1239 236
1.First I need to match S_id of table 1 with SS_id of Table 2 and pick the corresponding Desc
2.If the count of S_id in point 1 is greater than 1 then match S_id,E_ID of table 1 with SS_id,EE_ID of Table 2 and pick the corresponding Desc
3.When S_ID of Table 1 is not present in SS_ID of Table2 then match E_id of Table 1with EE_id of Table2 and pick the corresponding Desc
4.if count of E_id in the point 3 is greater than 1 then match S_id,E_ID of table 1 with SS_id ,EE_ID of Table 2 and pick the corresponding Desc
5.Else populate null
Output
I_ID Desc
1000 aaaa
1002 bbbb
1003 cccc
1004 null
1005 jjjj
can you help me write SQl query
looking to your result seem that you need only
select table1.I_ID
INNER JOIN table2 on table1.S_id = table2.SS_id
(otherwise try to post an example more appropriate)