I divided the month into four weeks and printed the amount for each week. How do I set this up with a loop for 12 months?
declare
cursor c is
select varis_tar, tutar
from muhasebe.doviz_takip
where trunc(varis_tar) BETWEEN TO_DATE('01/10/2021', 'DD/MM/YYYY') AND
TO_DATE('31/10/2021', 'DD/MM/YYYY')
group by varis_tar,tutar;
tutar1 number(13,2):=0;
tutar2 number(13,2):=0;
tutar3 number(13,2):=0;
tutar4 number(13,2):=0;
begin
for r in c loop
if r.varis_tar between TO_DATE('01/10/2021', 'DD/MM/YYYY') AND
TO_DATE('07/10/2021', 'DD/MM/YYYY') then
tutar1:=(r.tutar)+tutar1;
--message(r.tutar);
elsif r.varis_tar between TO_DATE('07/10/2021', 'DD/MM/YYYY') AND
TO_DATE('14/10/2021', 'DD/MM/YYYY') then
tutar2:=(r.tutar)+tutar2;
--message(r.tutar);
elsif r.varis_tar between TO_DATE('14/10/2021', 'DD/MM/YYYY') AND
TO_DATE('21/10/2021', 'DD/MM/YYYY') then
tutar3:=(r.tutar)+tutar3;
--message(r.tutar);
elsif r.varis_tar between TO_DATE('21/10/2021', 'DD/MM/YYYY') AND
TO_DATE('31/10/2021', 'DD/MM/YYYY') then
tutar4:=(r.tutar)+tutar4;
--message(r.tutar);
end if;
end loop;
I tried to get the dates the same way for all the months. I tried that, but it worked wrong.
where trunc(varis_tar) BETWEEN TO_DATE('1', 'DD') AND
TO_DATE('31', 'DD')
if r.varis_tar between TO_DATE('1', 'DD') AND
TO_DATE('07', 'DD') then
elsif r.varis_tar between TO_DATE('7', 'DD') AND
TO_DATE('14', 'DD') then
elsif r.varis_tar between TO_DATE('14', 'DD') AND
TO_DATE('21', 'DD') then
elsif r.varis_tar between TO_DATE('21', 'DD') AND
TO_DATE('31', 'DD') then
I don't know if I'am understanding it correctly but:
try if extract(day from varis_tar) between 1 and 7
or more complex
l_week := to_char(varis_tar,'W'); --week number
if l_week = 1 then --first week
elsif l_week = 2 etc...
Your code has several issues:
date in Oracle is actually a datetime, so between will not count any time after the midnight of the upper boundary.
you count the midnight of the week's end twice: in current week and in the next week (between includes both boundaries).
you do not need any PL/SQL and especially a cursor loop, because it occupy resources during calculation outside of SQL context.
Use datetime format to calculate weeks, because it is easy to read and understand. Then group by corresponding components.
with a as (
select
date '2021-01-01' - 1 + level as dt
, level as val
from dual
connect by level < 400
)
, b as (
select
dt
, val
/*Map 29, 30 and 31 to 28*/
, to_char(
least(dt, trunc(dt, 'mm') + 27)
, 'yyyymmw'
) as w
from a
)
select
substr(w, 1, 4) as y
, substr(w, 5, 2) as m
, substr(w, -1) as w
, sum(val) as val
, min(dt) as dt_from
, max(dt) as dt_to
from b
group by
w
Y | M | W | VAL | DT_FROM | DT_TO
:--- | :- | :- | ---: | :--------- | :---------
2021 | 01 | 1 | 28 | 2021-01-01 | 2021-01-07
2021 | 01 | 2 | 77 | 2021-01-08 | 2021-01-14
2021 | 01 | 3 | 126 | 2021-01-15 | 2021-01-21
2021 | 01 | 4 | 265 | 2021-01-22 | 2021-01-31
2021 | 02 | 1 | 245 | 2021-02-01 | 2021-02-07
2021 | 02 | 2 | 294 | 2021-02-08 | 2021-02-14
2021 | 02 | 3 | 343 | 2021-02-15 | 2021-02-21
2021 | 02 | 4 | 392 | 2021-02-22 | 2021-02-28
2021 | 03 | 1 | 441 | 2021-03-01 | 2021-03-07
2021 | 03 | 2 | 490 | 2021-03-08 | 2021-03-14
2021 | 03 | 3 | 539 | 2021-03-15 | 2021-03-21
2021 | 03 | 4 | 855 | 2021-03-22 | 2021-03-31
2021 | 04 | 1 | 658 | 2021-04-01 | 2021-04-07
2021 | 04 | 2 | 707 | 2021-04-08 | 2021-04-14
2021 | 04 | 3 | 756 | 2021-04-15 | 2021-04-21
2021 | 04 | 4 | 1044 | 2021-04-22 | 2021-04-30
2021 | 05 | 1 | 868 | 2021-05-01 | 2021-05-07
2021 | 05 | 2 | 917 | 2021-05-08 | 2021-05-14
2021 | 05 | 3 | 966 | 2021-05-15 | 2021-05-21
2021 | 05 | 4 | 1465 | 2021-05-22 | 2021-05-31
2021 | 06 | 1 | 1085 | 2021-06-01 | 2021-06-07
2021 | 06 | 2 | 1134 | 2021-06-08 | 2021-06-14
2021 | 06 | 3 | 1183 | 2021-06-15 | 2021-06-21
2021 | 06 | 4 | 1593 | 2021-06-22 | 2021-06-30
2021 | 07 | 1 | 1295 | 2021-07-01 | 2021-07-07
2021 | 07 | 2 | 1344 | 2021-07-08 | 2021-07-14
2021 | 07 | 3 | 1393 | 2021-07-15 | 2021-07-21
2021 | 07 | 4 | 2075 | 2021-07-22 | 2021-07-31
2021 | 08 | 1 | 1512 | 2021-08-01 | 2021-08-07
2021 | 08 | 2 | 1561 | 2021-08-08 | 2021-08-14
2021 | 08 | 3 | 1610 | 2021-08-15 | 2021-08-21
2021 | 08 | 4 | 2385 | 2021-08-22 | 2021-08-31
2021 | 09 | 1 | 1729 | 2021-09-01 | 2021-09-07
2021 | 09 | 2 | 1778 | 2021-09-08 | 2021-09-14
2021 | 09 | 3 | 1827 | 2021-09-15 | 2021-09-21
2021 | 09 | 4 | 2421 | 2021-09-22 | 2021-09-30
2021 | 10 | 1 | 1939 | 2021-10-01 | 2021-10-07
2021 | 10 | 2 | 1988 | 2021-10-08 | 2021-10-14
2021 | 10 | 3 | 2037 | 2021-10-15 | 2021-10-21
2021 | 10 | 4 | 2995 | 2021-10-22 | 2021-10-31
2021 | 11 | 1 | 2156 | 2021-11-01 | 2021-11-07
2021 | 11 | 2 | 2205 | 2021-11-08 | 2021-11-14
2021 | 11 | 3 | 2254 | 2021-11-15 | 2021-11-21
2021 | 11 | 4 | 2970 | 2021-11-22 | 2021-11-30
2021 | 12 | 1 | 2366 | 2021-12-01 | 2021-12-07
2021 | 12 | 2 | 2415 | 2021-12-08 | 2021-12-14
2021 | 12 | 3 | 2464 | 2021-12-15 | 2021-12-21
2021 | 12 | 4 | 3605 | 2021-12-22 | 2021-12-31
2022 | 01 | 1 | 2583 | 2022-01-01 | 2022-01-07
2022 | 01 | 2 | 2632 | 2022-01-08 | 2022-01-14
2022 | 01 | 3 | 2681 | 2022-01-15 | 2022-01-21
2022 | 01 | 4 | 3915 | 2022-01-22 | 2022-01-31
2022 | 02 | 1 | 1194 | 2022-02-01 | 2022-02-03
db<>fiddle here
Or the same in columns:
with a as (
select
date '2021-01-01' - 1 + level as dt
, level as val
from dual
connect by level < 400
)
, b as (
select
val
/*Map 29, 30 and 31 to 28*/
, to_char(dt, 'yyyymm') as m
, to_char(
least(dt, trunc(dt, 'mm') + 27)
, 'w'
) as w
from a
)
select
substr(m, 1, 4) as y
, substr(m, 5, 2) as m
, tutar1
, tutar2
, tutar3
, tutar4
from b
pivot(
sum(val)
for w in (
1 as tutar1, 2 as tutar2
, 3 as tutar3, 4 as tutar4
)
)
Y | M | TUTAR1 | TUTAR2 | TUTAR3 | TUTAR4
:--- | :- | -----: | -----: | -----: | -----:
2021 | 01 | 28 | 77 | 126 | 265
2021 | 02 | 245 | 294 | 343 | 392
2021 | 03 | 441 | 490 | 539 | 855
2021 | 04 | 658 | 707 | 756 | 1044
2021 | 05 | 868 | 917 | 966 | 1465
2021 | 06 | 1085 | 1134 | 1183 | 1593
2021 | 07 | 1295 | 1344 | 1393 | 2075
2021 | 08 | 1512 | 1561 | 1610 | 2385
2021 | 09 | 1729 | 1778 | 1827 | 2421
2021 | 10 | 1939 | 1988 | 2037 | 2995
2021 | 11 | 2156 | 2205 | 2254 | 2970
2021 | 12 | 2366 | 2415 | 2464 | 3605
2022 | 01 | 2583 | 2632 | 2681 | 3915
2022 | 02 | 1194 | null | null | null
db<>fiddle here
I am trying to create a table which contains Fiscal day,month and year.
However I want to add an actual date column in the give result as well.
My Query -
(FISCAL_DAY, BEGIN_DATE ,END_DATE ,FISCAL_MONTH,FISCAL_QUARTER,FISCAL_YEAR ) AS
(SELECT CAST(1 AS INT) ,begin_date,end_DATE,FISCAL_MONTH,FISCAL_QUARTER,FISCAL_YEAR FROM DB_NAME.ORIGINAL_FISCAL_TABLE
UNION ALL
SEL Fiscal_Day+1,begin_date,end_DATE,FISCAL_MONTH,FISCAL_QUARTER,FISCAL_YEAR
FROM TMP_FISCAL_DAY WHERE BEGIN_DATE<END_DATE AND FISCAL_DAY<END_DATE-BEGIN_DATE)
SEL * FROM TMP_FISCAL_DAY
Output
+------------+------------+------------+--------------+----------------+-------------+
| FISCAL_DAY | BEGIN_DATE | END_DATE | FISCAL_MONTH | FISCAL_QUARTER | FISCAL_YEAR |
+------------+------------+------------+--------------+----------------+-------------+
| 1 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 2 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 3 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 4 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 5 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 6 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 7 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 8 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 9 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 10 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 11 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 12 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 13 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 14 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 15 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 16 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 17 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 18 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 19 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 20 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 21 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 22 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 23 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 24 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 25 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 26 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 27 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 28 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 29 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 30 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 31 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 32 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 33 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
| 34 | 12/30/2017 | 02/02/2018 | 12 | 4 | 2,018 |
+------------+------------+------------+--------------+----------------+-------------+
Expected output
+------------+-------------+------------+----------+--------------+----------------+-------------+
| FISCAL_DAY | Actual Date | BEGIN_DATE | END_DATE | FISCAL_MONTH | FISCAL_QUARTER | FISCAL_YEAR |
+------------+-------------+------------+----------+--------------+----------------+-------------+
| 1 | 12/30/2017 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 2 | 12/31/2017 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 3 | 1/1/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 4 | 1/2/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 5 | 1/3/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 6 | 1/4/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 7 | 1/5/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 8 | 1/6/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 9 | 1/7/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 10 | 1/8/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 11 | 1/9/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 12 | 1/10/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 13 | 1/11/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 14 | 1/12/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 15 | 1/13/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 16 | 1/14/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 17 | 1/15/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 18 | 1/16/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 19 | 1/17/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 20 | 1/18/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 21 | 1/19/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 22 | 1/20/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 23 | 1/21/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 24 | 1/22/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 25 | 1/23/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 26 | 1/24/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 27 | 1/25/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 28 | 1/26/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 29 | 1/27/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 30 | 1/28/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 31 | 1/29/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 32 | 1/30/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 33 | 1/31/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
| 34 | 2/1/2018 | 12/30/2017 | 2/2/2018 | 12 | 4 | 2,018 |
+------------+-------------+------------+----------+--------------+----------------+-------------+
How do I put date in recursion such that actual dates show up ?
My Attempt (incorrect results)
WITH RECURSIVE TMP_FISCAL_DAY
(FISCAL_DAY, ACTUAL_DATE, BEGIN_DATE ,END_DATE ,FISCAL_MONTH,FISCAL_QUARTER,FISCAL_YEAR ) AS
(SELECT CAST(1 AS INT) ,cast(current_date as date), begin_date,end_DATE,FISCAL_MONTH,FISCAL_QUARTER,FISCAL_YEAR FROM DB_NAME.ORIGINAL_FISCAL_TABLE
UNION ALL
SEL Fiscal_Day+1,ACTUAL_DATE+FISCAL_DAY,begin_date,end_DATE,FISCAL_MONTH,FISCAL_QUARTER,FISCAL_YEAR
FROM TMP_FISCAL_DAY WHERE BEGIN_DATE<END_DATE AND FISCAL_DAY<END_DATE-BEGIN_DATE)
SEL * FROM TMP_FISCAL_DAY where CURRENT_DATE BETWEEN BEGIN_DATE AND END_DATE
Assuming there's one row per fiscal month in your ORIGINAL_FISCAL_TABLE you should filter the current month before recursion and then use BEGIN_DATE instead of CURRENT_DATE:
WITH RECURSIVE TMP_FISCAL_DAY ( FISCAL_DAY, ACTUAL_DATE, BEGIN_DATE ,END_DATE ,FISCAL_MONTH,FISCAL_QUARTER,FISCAL_YEAR )
AS
(
SELECT
Cast(1 AS INT)
,BEGIN_DATE
,begin_date
,end_DATE
,FISCAL_MONTH
,FISCAL_QUARTER
,FISCAL_YEAR
FROM DB_NAME.ORIGINAL_FISCAL_TABLE
WHERE Current_Date BETWEEN BEGIN_DATE AND END_DATE
UNION ALL
SELECT
Fiscal_Day+1
,ACTUAL_DATE+1
,begin_date
,end_DATE
,FISCAL_MONTH
,FISCAL_QUARTER
,FISCAL_YEAR
FROM TMP_FISCAL_DAY
WHERE ACTUAL_DATE+1 < END_DATE
)
SELECT *
FROM TMP_FISCAL_DAY
As #RonBallard wrote there's no need for recursion, you can use EXPAND ON instead:
SELECT
ACTUAL_DATE - BEGIN_DATE + 1 AS Fiscal_Day, dt.*
FROM
(
SELECT Begin(pd) AS ACTUAL_DATE, t.*
FROM ORIGINAL_FISCAL_TABLE AS t
WHERE Current_Date BETWEEN BEGIN_DATE AND END_DATE
EXPAND ON PERIOD(BEGIN_DATE, END_DATE) AS pd
) AS dt
But finally there should be no need for any kind of calculation, every company should have a calendar table with pre-calculated data:
SELECT ...
FROM myCalendar
WHERE Current_Date BETWEEN FISCAL_MONTH_BEGIN_DATE AND FISCAL_MONTH_END_DATE
I need a query to group an aggregate in one table by date ranges in another table.
Table 1
weeknumber | weekyear | weekstart | weekend
------------+----------+------------+------------
18 | 2016 | 2016-02-01 | 2016-02-08
19 | 2016 | 2016-02-08 | 2016-02-15
20 | 2016 | 2016-02-15 | 2016-02-22
21 | 2016 | 2016-02-22 | 2016-02-29
22 | 2016 | 2016-02-29 | 2016-03-07
23 | 2016 | 2016-03-07 | 2016-03-14
24 | 2016 | 2016-03-14 | 2016-03-21
25 | 2016 | 2016-03-21 | 2016-03-28
26 | 2016 | 2016-03-28 | 2016-04-04
27 | 2016 | 2016-04-04 | 2016-04-11
28 | 2016 | 2016-04-11 | 2016-04-18
29 | 2016 | 2016-04-18 | 2016-04-25
30 | 2016 | 2016-04-25 | 2016-05-02
31 | 2016 | 2016-05-02 | 2016-05-09
32 | 2016 | 2016-05-09 | 2016-05-16
33 | 2016 | 2016-05-16 | 2016-05-23
34 | 2016 | 2016-05-23 | 2016-05-30
35 | 2016 | 2016-05-30 | 2016-06-06
36 | 2016 | 2016-06-06 | 2016-06-13
37 | 2016 | 2016-06-13 | 2016-06-20
38 | 2016 | 2016-06-20 | 2016-06-27
39 | 2016 | 2016-06-27 | 2016-07-04
40 | 2016 | 2016-07-04 | 2016-07-11
41 | 2016 | 2016-07-11 | 2016-07-18
42 | 2016 | 2016-07-18 | 2016-07-25
43 | 2016 | 2016-07-25 | 2016-08-01
44 | 2016 | 2016-08-01 | 2016-08-08
45 | 2016 | 2016-08-08 | 2016-08-15
46 | 2016 | 2016-08-15 | 2016-08-22
47 | 2016 | 2016-08-22 | 2016-08-29
48 | 2016 | 2016-08-29 | 2016-09-05
49 | 2016 | 2016-09-05 | 2016-09-12
Table 2
accountid | rdate | fee1 | fee2 | fee3 | fee4
-----------+------------+------+------+------+------
481164 | 2015-12-22 | 8 | 1 | 5 | 1
481164 | 2002-12-22 | 1 | 0 | 0 | 0
481166 | 2015-12-22 | 1 | 0 | 0 | 0
481166 | 2016-10-20 | 14 | 0 | 0 | 0
481166 | 2016-10-02 | 5 | 0 | 0 | 0
481166 | 2016-01-06 | 18 | 4 | 0 | 5
482136 | 2016-07-04 | 18 | 0 | 0 | 0
481164 | 2016-07-04 | 2 | 3 | 4 | 5
481164 | 2016-06-28 | 34 | 0 | 0 | 0
481166 | 2016-07-20 | 50 | 0 | 0 | 69
481166 | 2016-07-13 | 16 | 0 | 0 | 5
481166 | 2016-09-15 | 8 | 0 | 0 | 2
481166 | 2016-10-03 | 8 | 0 | 0 | 0
I need to aggregate fee1+fee2+fee3+fee4 for rdates in each date range(weekstart,weekend) in table 1 and then group by accountid. Something like this:
accountid | weekstart | weekend | SUM
-----------+------------+------------+------
481164 | 2016-02-01 | 2016-02-08 | 69
481166 | 2016-02-01 | 2016-02-08 | 44
481164 | 2016-02-08 | 2016-02-15 | 22
481166 | 2016-02-08 | 2016-02-15 | 12
select accountid, weekstart, weekend,
sum(fee1 + fee2 + fee3 + fee4) as total_fee
from table2
inner join table1 on table2.rdate >= table1.weekstart and table2.rdate < table1.weekend
group by accountid, weekstart, weekend;
Just a thing:
weeknumber | weekyear | weekstart | weekend
------------+----------+------------+------------
18 | 2016 | 2016-02-01 | 2016-02-08
19 | 2016 | 2016-02-08 | 2016-02-15
weekend for week 18 should be 2016-02-07, because 2016-02-08 is weekstart for week 19.
weeknumber | weekyear | weekstart | weekend
------------+----------+------------+------------
18 | 2016 | 2016-02-01 | 2016-02-07
19 | 2016 | 2016-02-08 | 2016-02-14
Check it here: http://rextester.com/NCBO56250
I'm trying to list the weekly average of customers in different restaurants in their daily peak hours, for example:
Week | Day | Hour | Rest | Custom
20 | Mon | 08-12 | KFC | 15
20 | Mon | 12-16 | KFC | 10
20 | Mon | 16-20 | KFC | 8
20 | Tue | 08-12 | KFC | 20
20 | Tue | 12-16 | KFC | 11
20 | Tue | 16-20 | KFC | 9
20 | Mon | 08-12 | MCD | 13
20 | Mon | 12-16 | MCD | 14
20 | Mon | 16-20 | MCD | 19
20 | Tue | 08-12 | MCD | 31
20 | Tue | 12-16 | MCD | 20
20 | Tue | 16-20 | MCD | 22
20 | Mon | 08-12 | PHT | 15
20 | Mon | 12-16 | PHT | 12
20 | Mon | 16-20 | PHT | 11
20 | Tue | 08-12 | PHT | 08
20 | Tue | 12-16 | PHT | 07
20 | Tue | 16-20 | PHT | 14
The desired result should be:
WeeK | Rest | Custom
20 | KFC | 17.5
20 | MCD | 25
20 | PHT | 14.5
Is it possible to do it in one line of SQL?
This is really two steps. Get the maximum people per day per restaurant and then average that per week:
select week, rest, sum(maxc)
from (select Week, Day, Rest, max(Custom) as maxc
from t
group by Week, Day, Rest
) wdr
group by week, rest;
I have got some rows of results like below, if each sum (row(i)) same, I can suppose the results are correct. How can I write a SQL clause to calculate sum of each row? thanks.
27 | 29 | 27 | 36 | 33 | 29 | 16 | 17 | 35 | 28 | 34 | 15
27 | 29 | 27 | 29 | 33 | 29 | 16 | 17 | 35 | 28 | 34 | 15
27 | 29 | 27 | 14 | 33 | 29 | 16 | 17 | 35 | 28 | 34 | 15
27 | 29 | 16 | 37 | 33 | 29 | 16 | 17 | 35 | 28 | 34 | 15
27 | 29 | 16 | 36 | 33 | 29 | 16 | 17 | 35 | 28 | 34 | 15