I am having two tables here from which I needed to add two columns.
table 1 table 2
1 ram 100 null 1 ram 100 1000
2 ram 200 1000 2 ram 200 null
3 ram 100 2000 3 ram 100 3000
4 ram 100 3000 4 ram 100 4000
5 ram 100 null 5 ram 100 5000
1 rahim 100 5000 1 rahim 100 null
2 ram 200 6000 2 ram 200 7000
3 ram 200 null 3 ram 200 8000
4 ram 200 null 4 ram 200 9000
5 rahim 100 9000 5 rahim 100 null
1 robert 100 10000 1 robert 100 11000
2 rahim 200 11000 2 rahim 200 12000
3 ram 300 12000 3 ram 300 null
4 rahim 400 13000 4 rahim 400 14000
5 robert 100 14000 5 robert 100 15000
result should be in the form:
1 ram 100 1000
2 ram 200 -1000
3 ram 100 1000
4 ram 100 1000
5 ram 100 5000
1 rahim 100 -5000
2 ram 200 1000
3 ram 200 8000
4 ram 200 9000
5 rahim 100 -9000
1 robert 100 1000
2 rahim 200 1000
3 ram 300 -12000
4 rahim 400 1000
5 robert 100 1000
You can use join with coalesce to remove the null values:
select t1.id, t1.somefield, t1.someint,
coalesce(t2.someint2,0)-coalesce(t1.someint2,0)
from table1 t1
join table2 t2 on t1.id = t2.id
and t1.somefield = t2.somefield
and t1.someint = t2.someint
SQL Fiddle Demo
Based on your input data, this joins on the first 3 columns. Not completely sure this is what you want, but should get you going in the correct direction.
I think try subtract table2.col4 with table1.col4.
SELECT a.col1,
a.col2,
a.col3,
NVL(a.col4, 0) - NVL(b.col4, 0) SUB
FROM table1 A
JOIN table2 B
ON A.col1 = b.col1
AND a.col2 = b.col2
Related
I have two tables:
Employees:
employee_id field max_amount
3 a 3000
4 a 3000
1 a 1600
2 a 500
4 b 4000
2 b 4000
3 b 1700
ordered by employee, field, amount desc.
Amounts (pol, premia,field):
pol premia field **assign_to_employee**
11 900 a 3
44 1000 a 3
55 1400 a 4
77 500 a 3
88 1300 a 1
22 800 b 4
33 3900 b 2
66 1300 b 4
Assign Stats Table:
employee_id field max_amount true_amount remain
3 a 3000 2400 600
4 a 3000 1400 1600
1 a 1600 1300 300
2 a 500 0 500
4 b 4000 2100 1900
2 b 4000 3900 100
3 b 1700 0 1700
The output : assign_to_employee field (merged to amounts table).
Algoritem wise : The method is to assign pol's to employees until the premia needs to be added to the cumulative_sum is bigger then the max amount per employee listed in the employees table. You always start with the employess with most max amount until you cannot add any other pols to the employee.
I start with the employees with the grater max_amount per field.
I keep doing this until no pols remains to be assign.
Can you help me solve this?
Thank you.
I have a table that looks like this
TIMECODE UNIT_CODE Department Account AMOUNT
20194 10 1000 1000 100
20194 10 2354 1100 150
20194 10 1000 1000 200
20194 10 2354 1000 100
20194 20 500 1000 250
20194 20 500 1100 200
How I need the results to be is like this
TIMECODE UNIT_CODE Department 1000 1100
20194 10 1000 300 NULL
20194 10 2354 100 150
20194 20 500 250 200
hopefully that gives you a better image, but basically I would need to do a SUM depending on the distinct value of the other columns. The accounts that were previously in rows would be changed into columns.
any ideas or help with this would be greatly appreciated
Try the following, here is the demo.
select
TIMECODE,
UNIT_CODE,
Department,
sum(case when Account = 1000 then AMOUNT end) as "1000",
sum(case when Account = 1100 then AMOUNT end) as "1100"
from myTable
group by
TIMECODE,
UNIT_CODE,
Department
Output:
---------------------------------------------------
| TIMECODE UNIT_CODE DEPARTMENT 1000 1100 |
---------------------------------------------------
| 20194 20 500 250 200 |
| 20194 10 1000 300 null|
| 20194 10 2354 100 150 |
---------------------------------------------------
I have table which contains the currency exchange rates and another one with converted amounts.
Currency Table
This table will have the daily rates of the currency. For the ease of mapping I have only included rates for one date.
Branch Code Rate Date
A 0 1 30/10/2019
A 1 200 30/10/2019
A 2 300 30/10/2019
B 0 1 30/10/2019
B 1 10 30/10/2019
B 2 30 30/10/2019
Converted Amounts Table
This table will have the daily exchange details. For the ease of mapping I have only included transactions for one date.
Branch Code Amt Date
A 0 1000 30/10/2019
A 1 2000 30/10/2019
A 2 3000 30/10/2019
A 2 4000 30/10/2019
A 2 5000 30/10/2019
A 0 6000 30/10/2019
B 0 7000 30/10/2019
B 0 8000 30/10/2019
B 0 9000 30/10/2019
B 2 10000 30/10/2019
Resultant Table
Branch Code Date Amt Branch Code Rate Total
A 0 30/10/2019 1000 A 0 1 1000
A 1 30/10/2019 2000 A 1 200 400000
A 2 30/10/2019 3000 A 2 300 900000
A 2 30/10/2019 4000 A 2 300 1200000
A 2 30/10/2019 5000 A 2 300 1500000
A 0 30/10/2019 6000 A 1 1 6000
B 0 30/10/2019 7000 A 1 200 1400000
B 0 30/10/2019 8000 A 1 200 1600000
B 0 30/10/2019 9000 A 1 200 1800000
B 2 30/10/2019 10000 A 2 300 3000000
I could only get the following resultant table.
Branch Code Date Amt Branch Code Rate Total
A 0 30/10/2019 1000 A 0 1 1000
A 1 30/10/2019 2000 A 1 200 400000
A 2 30/10/2019 3000 A 2 300 900000
A 2 30/10/2019 4000 A 2 300 1200000
A 2 30/10/2019 5000 A 2 300 1500000
A 0 30/10/2019 6000 A 1 1 6000
B 0 30/10/2019 7000 A 1 1 7000
B 0 30/10/2019 8000 A 1 1 8000
B 0 30/10/2019 9000 A 1 1 9000
B 2 30/10/2019 10000 A 2 300 3000000
Query I use.
SELECT
*
FROM
converted_amounts_table t1
LEFT OUTER JOIN (
SELECT
(
CASE WHEN code = '0'
AND branch = 'B' THEN '1' ELSE code END
) AS new_code,
branch,
date,
rate
FROM
currency_table
) t2 ON (
t1.date = t2.date
AND t1.code = t2.new_code
)
WHERE
t1.date >= '01-Jan-2019'
AND t1.date <= '30-Sep-2019'
I was able to get the resultant table.
https://dbfiddle.uk/?rdbms=oracle_11.2&fiddle=4d5401320bda5ad736070541d55d1d04
SELECT
t1.branch,
t1.date2,
t1.code,
t2.code,
t2.new_code,
t2.rate,
t1.amt,
t1.amt * t2.rate AS Total
FROM
converted_amounts_table t1
LEFT OUTER JOIN (
SELECT
(CASE WHEN code = 1 THEN 0 ELSE code END) AS new_code,
branch,
date1,
code,
rate
FROM
currency_table
WHERE
branch = 'A'
) t2 ON (
t1.date2 = t2.date1
AND t1.code IN (t2.new_code, t2.code)
)
WHERE
t1.date2 = '30 - Oct - 2019'
AND (
t1.branch, t1.code, t2.code, t2.new_code,
t2.rate
) NOT IN (
('B', 0, 0, 0, 1),
('A', 0, 1, 0, 200)
)
1) StructureTable:
StrId StrName Figure Base On
1 Basic 40 Percent Total
2 D.A. 3495 Amount Total
3 O.A. 0 Remaining Total
2) SalaryTable
StaffId StaffName Salary
1 Ram 25000
2 Shyam 40000
3 Hari 30000
4 Ganesh 15000
3) IncrementTable
StaffId IncAmt
1 5000
2 3000
3 2000
4 4000
Desired Columns Resulted Output by Pivot or others:
StaffId StaffName Basic_Salary D.A_Salary O.A_Salary Total_Salary Basic_Inc D.A_Inc O.A_Inc Total_Inc Basic_Total D.A_Total O.A_Total Total_Total
1 Ram 10000 3495 18495 25000 2000 0 3000 5000 12000 3495 21495 30000
2 Shyam 16000 3495 27495 40000 1200 0 1800 3000 17200 3495 29295 43000
3 Hari 12000 3495 21495 30000 800 0 1200 2000 12800 3495 22695 32000
4 Ganesh 6000 3495 12495 15000 1600 0 2400 4000 7600 3495 14895 19000
Total 44000 13980 79980 110000 5600 0 8400 14000 49600 13980 88380 124000
Requirement - Delete Duplicate records e.g. from 2 tables and update the records in the other tables.
Input
Table1 Dim_Ctry
PK_Key1 Country
100 Argentina
200 ARGENTINA
300 India
400 INDIA
Table2 Dim_Geo
PK_Key2 Geo
500 Globe
600 GLOBE
700 Market
800 MARKET
900 Unique
Table Fact1
PK_Key15 FK_KEY1 FK_KEY2
1 100 500
2 200 600
3 300 800
4 400 900
Table Fact2
PK_Key16 FK_KEY1 FK_KEY2
5 100 500
6 200 600
7 200 700
8 300 800
output
Table1 Dim_Ctry
PK_Key1 Country
100 Argentina
300 India
Table2 Dim_Geo
PK_Key2 Geo
500 Globe
700 Market
900 Unique
Table Fact1
PK_Key15 FK_KEY1 FK_KEY2
1 100 500
2 100 500
3 300 800
4 300 800
Table Fact2
PK_Key16 FK_KEY1 FK_KEY2 comment
5 100 500
6 100 500
7 100 700
7 300 800
8 1000 2000 no record in dim table just retain
You will need several steps.
Step 1 update related tables
Update all FK_KEY to the min value.
UPDATE Fact1 f1
SET
FK_KEY1 = (SELECT MIN(PK_Key1)
FROM Dim_Ctry dc1
WHERE UPPER(dc1.Country) = (SELECT UPPER(dc2.Country)
FROM Dim_Ctry dc2
WHERE dc2.PK_Key1 = f1.FK_KEY1)
),
FK_KEY2 = (SELECT MIN(PK_Key2)
FROM Dim_Geo dg1
WHERE UPPER(dg1.Geo) = (SELECT UPPER(dg2.Geo)
FROM Dim_Geo dg2
WHERE dg2.PK_Key2 = f1.FK_KEY2)
);
Step 2 delete duplicated
This will delete all duplicated and keep the one with smaller id
DELETE FROM Dim_Ctry dc1
WHERE EXISTS (SELECT PK_Key1
FROM Dim_Ctry dc2
WHERE dc1.PK_Key1 > dc2.PK_Key1
and UPPER(dc1.Country) = UPPER(dc2.Country)
Step 3 update the text
You should update to lower or upper to standard format.
UPDATE Dim_Ctry
SET Country = UPPER(Country)
debug query
SELECT f1.PK_Key15, f1.FK_KEY1, f1.FK_KEY2,
(SELECT UPPER(dc2.Country)
FROM Dim_Ctry dc2
WHERE dc2.PK_Key1 = f1.FK_KEY1
) as CurrentName,
(SELECT MIN(PK_Key1)
FROM Dim_Ctry dc1
WHERE UPPER(dc1.Country) = (SELECT UPPER(dc2.Country) FROM Dim_Ctry dc2 WHERE dc2.PK_Key1 = f1.FK_KEY1) ) as minKey
FROM Fact1 f1