Update or Select into ORACLE - sql
I am using the following statement;
SELECT RESV_ID, BOOKING_CUS_ID, ACC_ID,
(SELECT F.FLI_PRICE FROM FLIGHT F WHERE F.FLI_ID = R.IN_FLIGHT_ID) AS DEPART_FLIGHT_PRICE,
(SELECT F1.FLI_PRICE FROM FLIGHT F1 WHERE F1.FLI_ID = R.OUT_FLIGHT_ID) AS RETURN_FLIGHT_PRICE,
(SELECT AC.ACC_PRICEPN FROM ACCOMMODATION AC WHERE AC.ACC_ID = R.ACC_ID) AS ACCOMMODATION_PRICE
FROM HOLIDAY_RESERVATION R;
to yield the following results;
RESV_ID BOOKING_CUS_ID ACC_ID DEPART_FLIGHT_PRICE RETURN_FLIGHT_PRICE ACCOMMODATION_PRICE
---------- -------------- ---------- ------------------- ------------------- -------------------
1 1 2 520 450 350
2 3 4 250 150 150
3 5 6 290 300 450
4 7 7 399 450 650
5 9 365 345
6 11 558 460
7 13 250 250
8 15 550 550
9 17 25 250
10 19 19 450
10 rows selected.
Question:
How do I sum up the price fields, SOME PRICES ARE NOT AVAILABLE because a reservation was either made for accommodation only or flight only, hence both values will not be present always and this is where the issue lies
DEPART_FLIGHT_PRICE RETURN_FLIGHT_PRICE ACCOMMODATION_PRICE
Furthermore:
I wish to insert or update the SUM of those three values into a SUBTOTAL in the reservation table, perhaps by using select into or update, I have spent a whole day trying to do this but my skills are limited. any help will be greatly appreciated.
Flight table
FLI_ID FLI_CO FLI_AIRCRA DEPT_AIRPORT ARRV_AIRPORT DEPT_TIME ARRV_TIME FLI_PRICE
1 BD425 Boeing 707 1 12 18-MAR-12 02.24.00 AM 18-MAR-12 06.24.00 AM 520
2 LX345 Beriev 30 6 7 20-MAR-12 03.30.00 PM 20-MAR-12 04.20.00 PM 250
3 NZ4445 Boeing 720 9 14 25-MAR-12 09.00.00 AM 25-MAR-12 05.00.00 PM 290
4 TP351 Boeing 767 10 15 25-MAR-12 11.25.00 AM 25-MAR-12 03.35.00 PM 399
5 BA472 Boeing 720 5 14 26-MAR-12 01.05.00 PM 26-MAR-12 04.15.00 PM 365
Accommodation
ACC_ID ACC_TYPE_CODE ACC_DESC ACC_PRICEPN ACC_ROOMS RESORT_ID ACC_ADDR CITY_ID
1 1 Three bedroom bungalow near theme park 500 3 1
2 1 Two bedroom bungalow next to disney house 350 2 1
3 1 One bedroom bungalow with lake view 250 2 2
4 2 One bedroom chalet near the lake 150 1 2
5 2 Four bedroom chalet near the tree house 600 4 3
Reservation
RESV_ID EMP_ID BOOKING_CUS_ID RESV_DATE HOLIDAY_S HOLIDAY_E IN_FLIGHT_ID OUT_FLIGHT_ID IN_FLIGHT_SEATS_NO OUT_FLIGHT_SEATS_NO ACC_ID SUBTOTAL
1 338 1 16-FEB-12 18-MAR-12 20-APR-12 1 11 2 2 2
2 335 3 10-JAN-12 20-MAR-12 22-APR-12 2 12 2 2 4
3 338 5 05-MAR-12 25-MAR-12 26-APR-12 3 13 2 2 6
4 328 7 02-JAN-12 25-MAR-12 25-APR-12 4 14 2 2 7
5 311 9 20-JAN-12 26-MAR-12 21-APR-12 5 15 2 2
6 317 11 07-JAN-12 27-MAR-12 22-APR-12 6 16 2 2
7 344 13 29-FEB-12 15-MAR-12 12-APR-12 7 17 2 2
8 326 15 11-JAN-12 18-MAR-12 12-APR-14 8 18 2 2
9 329 17 16-JAN-12 19-MAR-12 17-APR-12 25
10 323 19 18-FEB-12 20-MAR-12 21-APR-12 19
Okay I managed to yield the results that i wanted
SELECT HR.RESV_ID, F_IN.FLI_ID, F_IN.FLI_PRICE, F_OUT.FLI_ID, F_OUT.FLI_PRICE, AC.ACC_ID, AC.ACC_PRICEPN, NVL(F_IN.FLI_PRICE,0)+NVL(F_OUT.FLI_PRICE,0)+NVL(AC.ACC_PRICEPN,0) AS TOTAL
FROM HOLIDAY_RESERVATION HR
LEFT JOIN FLIGHT F_IN ON HR.IN_FLIGHT_ID = F_IN.FLI_ID
LEFT JOIN FLIGHT F_OUT ON HR.OUT_FLIGHT_ID = F_OUT.FLI_ID
LEFT JOIN ACCOMMODATION AC ON HR.ACC_ID = AC.ACC_ID
ORDER BY HR.RESV_ID;
YIELDS
RESV_ID FLI_ID FLI_PRICE FLI_ID FLI_PRICE ACC_ID ACC_PRICEPN TOTAL
---------- ---------- ---------- ---------- ---------- ---------- ----------- ----------
1 1 500 11 555 2 350 1405
2 2 150 12 253 4 150 553
3 3 300 13 345 6 450 1095
4 4 450 14 343 7 650 1443
5 5 345 15 242 587
6 6 460 16 460 920
7 7 250 17 250 500
8 8 550 18 550 1100
9 25 250 250
10 19 450 450
And the following statement is to update the reservation table.
Thanks to Leigh Riffel from DBA stackxchange for the following code
UPDATE HOLIDAY_RESERVATION R SET SUBTOTAL =
NVL((SELECT F.FLI_PRICE FROM FLIGHT F WHERE F.FLI_ID = R.IN_FLIGHT_ID), 0) +
NVL((SELECT F.FLI_PRICE FROM FLIGHT F WHERE F.FLI_ID = R.OUT_FLIGHT_ID), 0) +
NVL((SELECT AC.ACC_PRICEPN FROM ACCOMMODATION AC WHERE AC.ACC_ID = R.ACC_ID), 0);
Now the subtotal is populated with the values obtained from the sum performed above >>
RESV_ID EMP_ID BOOKING_CUS_ID RESV_DATE HOLIDAY_S HOLIDAY_E IN_FLIGHT_ID OUT_FLIGHT_ID IN_FLIGHT_SEATS_NO OUT_FLIGHT_SEATS_NO ACC_ID SUBTOTAL
---------- ---------- -------------- --------- --------- --------- ------------ ------------- ------------------ ------------------- ---------- ----------
1 338 1 16-FEB-12 18-MAR-12 20-APR-12 1 11 2 2 2 1405
2 335 3 10-JAN-12 20-MAR-12 22-APR-12 2 12 2 2 4 553
3 338 5 05-MAR-12 25-MAR-12 26-APR-12 3 13 2 2 6 1095
4 328 7 02-JAN-12 25-MAR-12 25-APR-12 4 14 2 2 7 1443
5 311 9 20-JAN-12 26-MAR-12 21-APR-12 5 15 2 2 587
6 317 11 07-JAN-12 27-MAR-12 22-APR-12 6 16 2 2 920
7 344 13 29-FEB-12 15-MAR-12 12-APR-12 7 17 2 2 500
8 326 15 11-JAN-12 18-MAR-12 12-APR-14 8 18 2 2 1100
9 329 17 16-JAN-12 19-MAR-12 17-APR-12 25 250
10 323 19 18-FEB-12 20-MAR-12 21-APR-12 19 450
Subsequently the code was added to a trigger (which was the original intention)
CREATE OR REPLACE TRIGGER HR_SUBTOTAL
BEFORE INSERT OR UPDATE ON HOLIDAY_RESERVATION
FOR EACH ROW
BEGIN
SELECT
NVL((SELECT F.Fli_Price FROM Flight F WHERE F.Fli_ID = :new.In_Flight_ID), 0) +
NVL((SELECT F.Fli_Price FROM Flight F WHERE F.Fli_ID = :new.Out_Flight_ID), 0) +
NVL((SELECT AC.Acc_PricePn FROM Accomodation AC WHERE AC.Acc_ID = :new.Acc_ID), 0)
INTO :new.Subtotal
FROM dual;
END;
/
For the SUM, assuming you want to treat NULL values as 0, you'd just need to do an NVL on the numbers
NVL( DEPART_FLIGHT_PRICE, 0 ) +
NVL( RETURN_FLIGHT_PRICE, 0 ) +
NVL( ACCOMMODATION_PRICE, 0 )
As for the UPDATE, it sounds like you just need a correlated UPDATE statement.
UPDATE reservation r
SET subtotal = (SELECT (SELECT NVL( DEPART_FLIGHT_PRICE, 0 ) +
NVL( RETURN_FLIGHT_PRICE, 0 ) +
NVL( ACCOMMODATION_PRICE, 0 )
FROM (SELECT RESV_ID,
BOOKING_CUS_ID,
ACC_ID,
(SELECT F.FLI_PRICE
FROM FLIGHT F
WHERE F.FLI_ID = R.IN_FLIGHT_ID) AS DEPART_FLIGHT_PRICE,
(SELECT F1.FLI_PRICE
FROM FLIGHT F1
WHERE F1.FLI_ID = R.OUT_FLIGHT_ID) AS RETURN_FLIGHT_PRICE,
(SELECT AC.ACC_PRICEPN
FROM ACCOMMODATION AC
WHERE AC.ACC_ID = R.ACC_ID) AS ACCOMMODATION_PRICE
FROM dual));
You are asking:
How do I sum up the price fields, as you can see some of them can have nulls.
DEPART_FLIGHT_PRICE RETURN_FLIGHT_PRICE ACCOMMODATION_PRICE
Just enclose them in NVL function as follows:
NVL(DEPART_FLIGHT_PRICE, 0)
and then sum them up.
For the second part, what you need is a MERGE statement. A good example is at http://www.oracle-developer.net/display.php?id=203
Related
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so i have a Dataframe that has a repeating Number Series that i want to group like this: Number Pattern Value Desired Group Value.1 1 723 1 Max of Group 2 400 1 Max of Group 8 235 1 Max of Group 5 387 2 Max of Group 7 911 2 Max of Group 3 365 3 Max of Group 4 270 3 Max of Group 5 194 3 Max of Group 7 452 3 Max of Group 100 716 4 Max of Group 104 69 4 Max of Group 2 846 5 Max of Group 3 474 5 Max of Group 4 524 5 Max of Group So essentially the number pattern is always monotonly increasing. Any Ideas?
You can compare Number Pattern by 1 with cumulative sum by Series.cumsum and then is used GroupBy.transform with max:
df['Desired Group'] = df['Number Pattern'].eq(1).cumsum()
df['Value.1'] = df.groupby('Desired Group')['Value'].transform('max')
print (df)
Number Pattern Value Desired Group Value.1
0 1 723 1 723
1 2 400 1 723
2 3 235 1 723
3 1 387 2 911
4 2 911 2 911
5 1 365 3 452
6 2 270 3 452
7 3 194 3 452
8 4 452 3 452
9 1 716 4 716
10 2 69 4 716
11 1 846 5 846
12 2 474 5 846
13 3 524 5 846
For monotically increasing use:
df['Desired Group'] = (~df['Number Pattern'].diff().gt(0)).cumsum()
Splitting Column Headers and Duplicating Row Values in Pandas Dataframe
In the example df below, I'm trying to find a way to split the column headers ('1;2','4','5;6') based on the ';' that exists and duplicate the row values in these split columns. (My actual df comes from an imported csv file so generally I have around 50-80 column headers that need spliting)
Below is my code below with output
import pandas as pd
import numpy as np
#
data = np.array([['Market','Product Code','1;2','4','5;6'],
['Total Customers',123,1,500,400],
['Total Customers',123,2,400,320],
['Major Customer 1',123,1,100,220],
['Major Customer 1',123,2,230,230],
['Major Customer 2',123,1,130,30],
['Major Customer 2',123,2,20,10],
['Total Customers',456,1,500,400],
['Total Customers',456,2,400,320],
['Major Customer 1',456,1,100,220],
['Major Customer 1',456,2,230,230],
['Major Customer 2',456,1,130,30],
['Major Customer 2',456,2,20,10]])
df =pd.DataFrame(data)
df.columns = df.iloc[0]
df = df.reindex(df.index.drop(0))
print (df)
0 Market Product Code 1;2 4 5;6
1 Total Customers 123 1 500 400
2 Total Customers 123 2 400 320
3 Major Customer 1 123 1 100 220
4 Major Customer 1 123 2 230 230
5 Major Customer 2 123 1 130 30
6 Major Customer 2 123 2 20 10
7 Total Customers 456 1 500 400
8 Total Customers 456 2 400 320
9 Major Customer 1 456 1 100 220
10 Major Customer 1 456 2 230 230
11 Major Customer 2 456 1 130 30
12 Major Customer 2 456 2 20 10
Below is my desired output
0 Market Product Code 1 2 4 5 6
1 Total Customers 123 1 1 500 400 400
2 Total Customers 123 2 2 400 320 320
3 Major Customer 1 123 1 1 100 220 220
4 Major Customer 1 123 2 2 230 230 230
5 Major Customer 2 123 1 1 130 30 30
6 Major Customer 2 123 2 2 20 10 10
7 Total Customers 456 1 1 500 400 400
8 Total Customers 456 2 2 400 320 320
9 Major Customer 1 456 1 1 100 220 220
10 Major Customer 1 456 2 2 230 230 230
11 Major Customer 2 456 1 1 130 30 30
12 Major Customer 2 456 2 2 20 10 10
Ideally I would like to perform such a task at the 'read_csv' level. Any thoughts?
Try reindex with repeat
s=df.columns.str.split(';')
df=df.reindex(columns=df.columns.repeat(s.str.len()))
df.columns=sum(s.tolist(),[])
df
Out[247]:
Market Product Code 1 2 4 5 6
1 Total Customers 123 1 1 500 400 400
2 Total Customers 123 2 2 400 320 320
3 Major Customer 1 123 1 1 100 220 220
4 Major Customer 1 123 2 2 230 230 230
5 Major Customer 2 123 1 1 130 30 30
6 Major Customer 2 123 2 2 20 10 10
7 Total Customers 456 1 1 500 400 400
8 Total Customers 456 2 2 400 320 320
9 Major Customer 1 456 1 1 100 220 220
10 Major Customer 1 456 2 2 230 230 230
11 Major Customer 2 456 1 1 130 30 30
12 Major Customer 2 456 2 2 20 10 10
You can split the columns with ';' and then reconstruct a df:
pd.DataFrame({c:df[t] for t in df.columns for c in t.split(';')})
Out[157]:
1 2 4 5 6 Market Product Code
1 1 1 500 400 400 Total Customers 123
2 2 2 400 320 320 Total Customers 123
3 1 1 100 220 220 Major Customer 1 123
4 2 2 230 230 230 Major Customer 1 123
5 1 1 130 30 30 Major Customer 2 123
6 2 2 20 10 10 Major Customer 2 123
7 1 1 500 400 400 Total Customers 456
8 2 2 400 320 320 Total Customers 456
9 1 1 100 220 220 Major Customer 1 456
10 2 2 230 230 230 Major Customer 1 456
11 1 1 130 30 30 Major Customer 2 456
12 2 2 20 10 10 Major Customer 2 456
Or if you would like to reserve column order:
pd.concat([df[t].to_frame(c) for t in df.columns for c in t.split(';')],1)
Out[167]:
Market Product Code 1 2 4 5 6
1 Total Customers 123 1 1 500 400 400
2 Total Customers 123 2 2 400 320 320
3 Major Customer 1 123 1 1 100 220 220
4 Major Customer 1 123 2 2 230 230 230
5 Major Customer 2 123 1 1 130 30 30
6 Major Customer 2 123 2 2 20 10 10
7 Total Customers 456 1 1 500 400 400
8 Total Customers 456 2 2 400 320 320
9 Major Customer 1 456 1 1 100 220 220
10 Major Customer 1 456 2 2 230 230 230
11 Major Customer 2 456 1 1 130 30 30
12 Major Customer 2 456 2 2 20 10 10
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try this: select br_code, bill_no, sum(amount) from TABLE group by br_code, bill_no
how to update duplicate rows in a column to a new values
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Finally I found a solution, am using dynamic-sql to solve my issue
do
$$
declare
arow record;
begin
for arow in
select chqid,rino,branchid from (
select chqid,rino::int ,vrid,branchid ,row_number()over (partition by rino::int ) rn
from tab
where vrid =20
and branchid = 2)t
where rn >1
loop
execute format('
update tab
set rino=(select max(rino::int)+1 from gtab19 where acyrid=4 and branchid = 2 and vrid=20)
where chqid=%s
',arow.chqid);
end loop;
end;
$$;
SQL query self join
I am working on a query for a report in Oracle 10g. I need to generate a short list of each course along with the number of times they were offered in the past year (including ones that weren't actually offered). I created one query SELECT coursenumber, count(datestart) AS Offered FROM class WHERE datestart BETWEEN (sysdate-365) AND sysdate GROUP BY coursenumber; Which produces COURSENUMBER OFFERED ---- ---------- ST03 2 PD01 1 AY03 2 TB01 4 This query is all correct. However ideally I want it to list those along with COURSENUMBER HY and CS in the left column as well with 0 or null as the OFFERED value. I have a feeling this involves a join of sorts, but so far what I have tried doesn't produce the classes with nothing offered. The table normally looks like REFERENCE_NO DATESTART TIME TIME EID ROOMID COURSENUMBER ------------ --------- ---- ---- ---------- ---------- ---- 256 03-MAR-11 0930 1100 2 2 PD01 257 03-MAY-11 0930 1100 12 7 PD01 258 18-MAY-11 1230 0100 12 7 PD01 259 24-OCT-11 1930 2015 6 2 CS01 260 17-JUN-11 1130 1300 6 4 CS01 261 25-MAY-11 1900 2000 13 6 HY01 262 25-MAY-11 1900 2000 13 6 HY01 263 04-APR-11 0930 1100 13 5 ST03 264 13-SEP-11 1930 2100 6 4 ST03 265 05-NOV-11 1930 2100 6 5 ST03 266 04-FEB-11 1430 1600 6 5 ST03 267 02-JAN-11 0630 0700 13 1 TB01 268 01-FEB-11 0630 0700 13 1 TB01 269 01-MAR-11 0630 0700 13 1 TB01 270 01-APR-11 0630 0700 13 1 TB01 271 01-MAY-11 0630 0700 13 1 TB01 272 14-MAR-11 0830 0915 4 3 AY03 273 19-APR-11 0930 1015 4 3 AY03 274 17-JUN-11 0830 0915 14 3 AY03 275 14-AUG-09 0930 1015 14 3 AY03 276 03-MAY-09 0830 0915 14 3 AY03
SELECT coursenumber, COUNT(CASE WHEN datestart BETWEEN (sysdate-365) AND sysdate THEN 1 END) AS Offered FROM class GROUP BY coursenumber; So, as you can see, this particular problem doesn't need a join.
I think something like this should work for you, by just doing it as a subquery. SELECT distinct c.coursenumber, (SELECT COUNT(*) FROM class WHERE class.coursenumber = c.coursenumber AND datestart BETWEEN (sysdate-365) AND sysdate ) AS Offered FROM class c
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