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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 using Snowflake SQL, but I guess this can be solved by any sql. So I have data like this:
RA_MEMBER_ID YEAR QUARTER MONTH Monthly_TOTAL_PURCHASE CATEGORY
1000 2020 1 1 105 CAT10
1000 2020 1 1 57 CAT13
1000 2020 1 2 107 CAT10
1000 2020 1 2 59 CAT13
1000 2020 1 3 109 CAT11
1000 2020 1 3 61 CAT14
1000 2020 2 4 111 CAT11
1000 2020 2 4 63 CAT14
1000 2020 2 5 113 CAT12
1000 2020 2 5 65 CAT15
1000 2020 2 6 115 CAT12
1000 2020 2 6 67 CAT15
And I need data like this:
RA_MEMBER_ID YEAR QUARTER MONTH Monthly_TOTAL_PURCHASE CATEGORY Monthly_rank Quarterly_Total_purchase Quarter_category Quarter_rank Yearly_Total_purchase Yearly_category Yearly_rank
1000 2020 1 1 105 CAT10 1 105 CAT10 1 105 CAT10 1
1000 2020 1 1 57 CAT13 2 57 CAT13 2 57 CAT13 2
1000 2020 1 2 107 CAT10 1 212 CAT10 1 212 CAT10 1
1000 2020 1 2 59 CAT13 2 116 CAT13 2 116 CAT13 2
1000 2020 1 3 109 CAT11 1 212 CAT10 1 212 CAT10 1
1000 2020 1 3 61 CAT14 2 116 CAT13 2 116 CAT13 2
1000 2020 2 4 111 CAT11 1 111 CAT11 1 212 CAT10 1
1000 2020 2 4 63 CAT14 2 63 CAT14 2 124 CAT14 2
1000 2020 2 5 113 CAT12 1 113 CAT12 1 212 CAT10 1
1000 2020 2 5 65 CAT15 2 65 CAT15 2 124 CAT14 2
1000 2020 2 6 115 CAT12 1 228 CAT12 1 228 CAT12 1
1000 2020 2 6 67 CAT15 2 132 CAT15 2 132 CAT15 2
So basically, I have the top two categories by purchase amount for the first 6 months. I need the same for quarterly based on which month of the quarter it is. So let's say it is February, then the top 2 categories and amounts should be calculated based on both January and February. For March we have to get the quarter data by taking all three months. From April it will be the same as monthly rank, for May again calculate based on April and May. Similarly for Yearly also.
I have tried a lot of things but nothing seems to give me what I want.
The solution should be generic enough because there can be many other months and years.
I really need help in this.
Not sure if below is what you are after. I assume that everything is category based:
create or replace table test (
ra_member_id int,
year int,
quarter int,
month int,
monthly_purchase int,
category varchar
);
insert into test values
(1000, 2020, 1,1, 105, 'cat10'),
(1000, 2020, 1,1, 57, 'cat13'),
(1000, 2020, 1,2, 107, 'cat10'),
(1000, 2020, 1,2, 59, 'cat13'),
(1000, 2020, 1,3, 109, 'cat11'),
(1000, 2020, 1,3, 61, 'cat14'),
(1000, 2020, 2,4, 111, 'cat11'),
(1000, 2020, 2,4, 63, 'cat14'),
(1000, 2020, 2,5, 113, 'cat12'),
(1000, 2020, 2,5, 65, 'cat15'),
(1000, 2020, 2,6, 115, 'cat12'),
(1000, 2020, 2,6, 67, 'cat15');
WITH BASE as (
select
RA_MEMBER_ID,
YEAR,
QUARTER,
MONTH,
CATEGORY,
MONTHLY_PURCHASE,
LAG(MONTHLY_PURCHASE) OVER (PARTITION BY QUARTER, CATEGORY ORDER BY MONTH) AS QUARTERLY_PURCHASE_LAG,
IFNULL(QUARTERLY_PURCHASE_LAG, 0) + MONTHLY_PURCHASE AS QUARTERLY_PURCHASE,
LAG(MONTHLY_PURCHASE) OVER (PARTITION BY YEAR, CATEGORY ORDER BY MONTH) AS YEARLY_PURCHASE_LAG,
IFNULL(YEARLY_PURCHASE_LAG, 0) + MONTHLY_PURCHASE AS YEARLY_PURCHASE
FROM
TEST
),
BASE_RANK AS (
SELECT
RA_MEMBER_ID,
YEAR,
QUARTER,
MONTH,
CATEGORY,
MONTHLY_PURCHASE,
RANK() OVER (PARTITION BY MONTH ORDER BY MONTHLY_PURCHASE DESC) as MONTHLY_RANK,
QUARTERLY_PURCHASE,
RANK() OVER (PARTITION BY QUARTER ORDER BY QUARTERLY_PURCHASE DESC) as QUARTERLY_RANK,
YEARLY_PURCHASE,
RANK() OVER (PARTITION BY YEAR ORDER BY YEARLY_PURCHASE DESC) as YEARLY_RANK
FROM BASE
),
MAIN AS (
SELECT
RA_MEMBER_ID,
YEAR,
QUARTER,
MONTH,
CATEGORY,
MONTHLY_PURCHASE,
MONTHLY_RANK,
QUARTERLY_PURCHASE,
QUARTERLY_RANK,
YEARLY_PURCHASE,
YEARLY_RANK
FROM BASE_RANK
)
SELECT * FROM MAIN
ORDER BY YEAR, QUARTER, MONTH
;
Result:
+--------------+------+---------+-------+----------+------------------+--------------+--------------------+----------------+-----------------+-------------+
| RA_MEMBER_ID | YEAR | QUARTER | MONTH | CATEGORY | MONTHLY_PURCHASE | MONTHLY_RANK | QUARTERLY_PURCHASE | QUARTERLY_RANK | YEARLY_PURCHASE | YEARLY_RANK |
|--------------+------+---------+-------+----------+------------------+--------------+--------------------+----------------+-----------------+-------------|
| 1000 | 2020 | 1 | 1 | cat10 | 105 | 1 | 105 | 4 | 105 | 9 |
| 1000 | 2020 | 1 | 1 | cat13 | 57 | 2 | 57 | 6 | 57 | 12 |
| 1000 | 2020 | 1 | 2 | cat10 | 107 | 1 | 212 | 1 | 212 | 3 |
| 1000 | 2020 | 1 | 2 | cat13 | 59 | 2 | 116 | 2 | 116 | 6 |
| 1000 | 2020 | 1 | 3 | cat11 | 109 | 1 | 109 | 3 | 109 | 8 |
| 1000 | 2020 | 1 | 3 | cat14 | 61 | 2 | 61 | 5 | 61 | 11 |
| 1000 | 2020 | 2 | 4 | cat11 | 111 | 1 | 111 | 4 | 220 | 2 |
| 1000 | 2020 | 2 | 4 | cat14 | 63 | 2 | 63 | 6 | 124 | 5 |
| 1000 | 2020 | 2 | 5 | cat12 | 113 | 1 | 113 | 3 | 113 | 7 |
| 1000 | 2020 | 2 | 5 | cat15 | 65 | 2 | 65 | 5 | 65 | 10 |
| 1000 | 2020 | 2 | 6 | cat12 | 115 | 1 | 228 | 1 | 228 | 1 |
| 1000 | 2020 | 2 | 6 | cat15 | 67 | 2 | 132 | 2 | 132 | 4 |
+--------------+------+---------+-------+----------+------------------+--------------+--------------------+----------------+-----------------+-------------+
I want to add a new column on my SQL query that will count the number of times a value on the row appears in a different table.
For example, let's say I have these two separate tables.
Table Name: Table_A
Id | Coach | Team_Color | Team_Number
------------------------------------------
001 | Jane | Orange | 121
002 | Frank | Purple | 232
003 | Tim | Red | 343
Table Name: Table_B
Id | Team_Number | Player_Name
----------------------------------
901 | 121 | Jimmy
902 | 121 | Wesley
903 | 121 | Samantha
904 | 121 | Wendy
905 | 232 | Tim
906 | 232 | Sean
907 | 343 | Andrew
908 | 343 | Erik
909 | 343 | Sarah
910 | 343 | Allison
911 | 343 | Desmond
912 | 343 | Kathryn
I want to end up with something like this:
Id | Coach | Team_Color | Team_Number | Player Count
--------------------------------------------------------
001 | Jane | Orange | 121 | 4
002 | Frank | Purple | 232 | 2
003 | Tim | Red | 343 | 6
The new column called "Player Count" is referencing the Team_Number value in Table_A, and counting the number of instances found on Table_B. How would I compose this into one query?
Solution to your Problem:
SELECT A.Id, A.Coach, A.Team_Color,A.Team_Number,Count(B.Id) AS Player_Count
FROM Table_A AS A
INNER JOIN Table_B B
ON A.Team_Number = B.Team_Number
GROUP BY A.Id, A.Coach, A.Team_Color,A.Team_Number;
OUTPUT:
Id Coach Team_Color Team_Number Player_Count
1 Jane Orange 121 4
2 Frank Purple 232 2
3 Tim Red 343 6
Follow the link to the demo:
http://sqlfiddle.com/#!9/9c6da4/1
EXPLAINATION:
In your problem, you have to use JOIN to join the two tables on a common Column i.e.Team_Number. Now after Joining you will get a result like this:
Id Coach Team_Color Team_Number Id Team_Number Player_Name
1 Jane Orange 121 901 121 Jimmy
1 Jane Orange 121 902 121 Wesley
1 Jane Orange 121 903 121 Samantha
1 Jane Orange 121 904 121 Wendy
2 Frank Purple 232 905 232 Tim
2 Frank Purple 232 906 232 Sean
3 Tim Red 343 907 343 Andrew
3 Tim Red 343 908 343 Erik
3 Tim Red 343 909 343 Sarah
3 Tim Red 343 910 343 Allison
3 Tim Red 343 911 343 Desmond
3 Tim Red 343 912 343 Kathryn
Now Use aggregate function COUNT on above Result to get the final result.
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'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;