Would appreciate if anybody help to create a recursive query to make infinite treeview. Sample data and output has been shown below for ready reference.
Contents of Details field will be root elements which do not have 'GroupCode'.
TABLE DATA (Example table name is 'Area')
=========================================
>GroupCode Code Details (Continent/Country/Province or Division/City/Area/Street)
>========= ==== =================================================================
> 1 Asia
> 2 Europe
> 3 Africa
> 4 North America
> 5 South America
> 6 Australia
> 7 Antarctica
>1 8 Bangladesh
>1 9 India
>1 10 Pakistan
>8 11 Dhaka
>8 12 Chittagong
>12 13 Agrabad
>12 14 New-Market
>12 15 Halishahar
>9 16 West Bengal
>16 17 Kolkata (Calcutta)
>17 18 XYZ Area
>13 19 Road No. 111
>13 20 Road No. 222
>
>Tree View
>========================================================
>-> (1) Asia
> -> (8) Bangladesh
> -> (12) Chittagong
> -> (13) Agrabad
> -> (19) Road No. 111
> -> (20) Road No. 222
> -> (14) New-Market
> -> (15) Halishahar
>
> -> (9) India
> -> (16) West Bengal
> -> (17) Kolkata
> -> (18) XYZ Area
>
Thanks,
Nowshad (Cell # +880-1713-442068)
Related
I have the Dataset Like
Transaction Time A B C Expected Output
3/17/2020 14:42 India 1 10 2
3/17/2020 15:09 India 1 10 0
3/17/2020 15:48 India 1 10 4
3/17/2020 15:59 India 1 10 0
3/17/2020 16:13 India 1 10 0
3/17/2020 16:36 India 1 10 0
3/17/2020 17:02 India 1 10 1
3/17/2020 18:42 India 1 10 5
3/17/2020 18:55 India 1 10 0
3/17/2020 19:05 India 1 10 0
3/17/2020 19:24 India 1 10 0
3/17/2020 19:30 India 1 10 0
3/17/2020 20:01 India 1 10 1
3/17/2020 21:24 India 1 10 3
3/17/2020 21:26 India 1 10 0
3/17/2020 21:48 India 1 10 0
The Dataset is based on the transaction Datetime with some of the dimensions associated to it.
The first transaction occured on: 3/17/2020 14:42 , I want to know how many such transactions are available between the first transaction date and next 1 hour interval. So In the data we can see the first and second record satisfies this criteria so the last column "Expected Output" as 2 in the first row and 0 in the 2nd row.
again the counter will start from the third records : 3/17/2020 15:48 so for this record we can see there are total of 4 such transactions which falls between and current datetime + 1 hour interval so the 3 row is set as 4 and the row 4,5,6 is set as 0 and so on.
Requesting your help on the same.
I have a table "TB_Population" with some records about the population from all over the world.
at this time I want to calculate each title's population in particular row
and demonstrate each level in that table.
I have this table with the following data:
ID TITLE PARENT_ID POPULATION
1 WORLD 10
2 AFRICA 1 5
3 ASIA 1 10
4 EUROPE 1 4
5 GERMANY 4 6
6 FRANCE 4 10
7 ITALY 4 4
8 JAPAN 3 6
9 MORROCO 2 1
10 SPAIN 4 9
11 INDIA 3 8
12 PORTUGAL 4 2
13 USA 14 10
14 AMERICA 1 10
15 NEWYORK 13 5
The expected output table should be as below
ID TITLE POPULATION LEVEL
1 WORLD 100 1
2 AFRICA 6 2
3 ASIA 24 2
4 EUROPE 35 2
5 GERMANY 6 3
6 FRANCE 10 3
7 ITALY 4 3
8 JAPAN 6 3
9 MORROCO 1 3
10 SPAIN 9 3
11 INDIA 8 3
12 PORTUGAL 2 3
13 USA 15 3
14 AMERICA 25 2
15 NEWYORK 5 4
Thanks and best regards
The tricky part which I see here is you want the LEVEL of title from "BOTTOM TO TOP" and POPULATION from "TOP TO BOTTOM". For example, AMERICA's level has to be 2 which means the LEVEL has to be measured from AMERICA -> WORLD, but AMERICA's population has to be 25 which is the sum of population measured from AMERICA -> NEWYORK. So, I tried this:
SELECT TOP_TO_BOTTOM.TITLE_ALIAS, TOP_TO_BOTTOM.TOTAL_POPULATION, BOTTOM_TO_TOP.MAX_LEVEL FROM
(SELECT TITLE_ALIAS, SUM(POPULATION) AS "TOTAL_POPULATION" FROM
(SELECT CONNECT_BY_ROOT TITLE AS "TITLE_ALIAS", POPULATION
FROM TB_POPULATION
CONNECT BY PRIOR ID = PARENT_ID)
GROUP BY TITLE_ALIAS) "TOP_TO_BOTTOM"
INNER JOIN
(SELECT TITLE_ALIAS, MAX(LEV) AS "MAX_LEVEL" FROM
(SELECT CONNECT_BY_ROOT TITLE AS "TITLE_ALIAS", LEVEL AS "LEV"
FROM TB_POPULATION
CONNECT BY PRIOR PARENT_ID = ID)
GROUP BY TITLE_ALIAS) "BOTTOM_TO_TOP"
ON
BOTTOM_TO_TOP.TITLE_ALIAS = TOP_TO_BOTTOM.TITLE_ALIAS
ORDER BY BOTTOM_TO_TOP.MAX_LEVEL;
You can have a look at the simulation here: https://rextester.com/HFTIH47397.
Hope this helps you
I need some help with creating a query as SAS proc SQL.
Consider the following dataset which has sales from different regions already bucketed by 3 hour chunks (its only a subset, actual data covers 24 hours):
Date ObsAtHour Region Sales
1/1/2018 2 Asia 76
1/1/2018 2 Africa 5
1/1/2018 5 Asia 14
1/1/2018 5 Africa 10
2/1/2018 2 Asia 40
2/1/2018 2 Africa 1
2/1/2018 5 Asia 15
2/1/2018 5 Africa 20
I get data covering last 45 days..
I am trying to do two things
1) Group by date, ObsAtHour and Region and get cumulative sum of Sales such that I get something like
Date ObsAtHour Region Sales CumSales
1/1/2018 2 Asia 76 76
1/1/2018 2 Africa 5 5
1/1/2018 5 Asia 14 90
1/1/2018 5 Africa 10 15
2/1/2018 2 Asia 40 40
2/1/2018 2 Africa 1 1
2/1/2018 5 Asia 15 55
2/1/2018 5 Africa 20 21
2) Get Percentage for sales that indicate what percentage of daily sales per Region has been achieved at any obsAtHour. It would look like:
Date ObsAtHour Region Sales CumSales Pct
1/1/2018 2 Asia 76 76 84%
1/1/2018 2 Africa 5 5 33%
1/1/2018 5 Asia 14 90 100%
1/1/2018 5 Africa 10 15 100%
2/1/2018 2 Asia 40 40 72%
2/1/2018 2 Africa 1 1 4.76%
2/1/2018 5 Asia 15 55 100%
2/1/2018 5 Africa 20 21 100%
Your help will be very appreciated.
something like below
data have;
input Date:mmddyy10. ObsAtHour Region $ Sales;
format date mmddyy10;
datalines;
1/1/2018 2 Asia 76
1/1/2018 2 Africa 5
1/1/2018 5 Asia 14
1/1/2018 5 Africa 10
2/1/2018 2 Asia 40
2/1/2018 2 Africa 1
2/1/2018 5 Asia 15
2/1/2018 5 Africa 20
;
proc sort data=have;
by date region;
run;
/* this gives moving sum*/
data have1;
format date mmddyy10.;
set have;
by date region;
if first.region then sumsales = sales;
else sumsales+sales;
run;
/* get the total sales from your intial table by group and join it back
and calculate the percent*/
proc sql;
select a.*, sumsales/tot_sales as per format =percent10.2 from
(select * from have1)a
inner join
(select region , date, sum(sales) as tot_sales
from have
group by 1, 2)b
on a.region =b.region
and a.date =b.date;
The key to understanding the following query is that the cumulative levels will be called tiers. The tiers are used as part of the self-join criteria to restrict the items that are grouped for being summed.
Data
data have;
input Date ddmmyy10. ObsAtHour Region $ Sales;
format Date yymmdd10.;
datalines;
1/1/2018 2 Asia 76
1/1/2018 2 Africa 5
1/1/2018 5 Asia 14
1/1/2018 5 Africa 10
2/1/2018 2 Asia 40
2/1/2018 2 Africa 1
2/1/2018 5 Asia 15
2/1/2018 5 Africa 20
run;
Sample query
The second query (percentage computation) is performed off the result of the first query (cumulative computation), however, the first query could by embedded as a nested query within the second one.
proc sql;
create table want(label='Cumulative within day up to obsathour') as
select
tiers.Date
, tiers.ObsAtHour
, tiers.Region
, Sum(case when have.ObsAtHour = tiers.ObsAtHour then have.Sales else 0 end) as SalesAtTier
, Sum(have.Sales) as CumSales
, Count(*) as CumCount
from
have
join
(select distinct Date, ObsAtHour, Region from have) as tiers
on
have.Date = tiers.Date
and have.Region = tiers.Region
and have.ObsAtHour <= tiers.ObsAtHour
group by
tiers.Date, tiers.Region, tiers.ObsAtHour
order
by Date, ObsAtHour, Region
;
create table want2 as
select
cum.Date
, cum.ObsAtHour
, cum.Region
, cum.SalesAtTier
, cum.CumSales
, cum.CumSales / Sum(cum.SalesAtTier) as fraction format=Percent7.2
from
want as cum
group by
cum.Date, cum.Region
order by
cum.Date, cum.ObsAtHour, cum.Region
;
I'd like to add a new second column to a 'teams' table which is representative of premier league (UK) football rankings. At the moment the table just contains the names of each football team.
The column will be called 'Played' and it will list the number of games each team has played. I'd like to calculate this number (integer data type) from a separate table called 'games', which records a historic log of games fixtures. This would probably include using SQL's native 'COUNT' function.
I have tried to use a function to help me do this, but currently it is inserting all values as '0'
CREATE FUNCTION [dbo].[GetPlayed](#Team VARCHAR)
RETURNS INT
BEGIN
RETURN(SELECT COUNT(*)
FROM games
WHERE games.Home = #Team OR games.Away = #Team);
END;
ALTER TABLE teams
ADD Played AS GetPlayed(teams.Team)
The tables:
teams:
```Team
Arsenal
Bournemouth
Burnley
Chelsea
Crystal Palace
Everton
Hull City
Leicester City
Liverpool
Manchester City
Manchester United
Middlesbrough
Southampton
Stoke City
Sunderland
Swansea City
Tottenham Hotspur
Wat"For"d
West Bromwich Albion
West Ham United
```
games:
gameID Home HomeScore Away AwayScore GameDate
4 Arsenal 2 Chelsea 0 2018-05-26
5 Arsenal 5 Bournemouth 0 2018-04-22
6 Arsenal 1 Leicester City 1 2018-03-15
7 Bournemouth 5 Liverpool 0 2018-04-22
8 Burnley 5 Bournemouth 0 2018-04-22
9 Burnley 1 Swansea City 2 2017-11-22
10 Stoke City 0 Burnley 0 2018-01-08
11 Chelsea 1 Middlesborough 2 2017-11-22
12 Southampton 0 Chelsea 0 2018-01-01
13 Crystal Palace 1 Everton 2 2018-03-26
14 Manchester United 4 Crystal Palace 0 2018-06-01
15 Crystal Palace 0 Southampton 1 2018-04-16
16 Everton 1 Hull City 2 2017-11-20
17 Manchester City 4 Everton 0 2017-11-20
18 Hull City 0 Burnley 0 2018-06-01
19 Sunderland 2 Hull City 0 2018-06-15
20 Leicester City 3 Tottenham Hotspur 1 2017-09-20
21 Swansea City 2 Leicester City 5 2018-02-15
22 Sunderland 0 Leicester City 1 2018-01-29
23 Liverpool 3 Tottenham Hotspur 0 2018-02-28
24 Stoke City 1 Liverpool 2 2017-09-19
25 Manchester City 2 Manchester United 4 2018-05-02
26 Middlesborough 1 Southampton 1 2018-02-08
27 Stoke City 2 Middlesborough 2 2017-08-19
28 Swansea City 0 Manchester United 5 2018-06-27
29 Sunderland 1 Tottenham Hotspur 2 2017-09-01
Any help would be much appreciated!
Thanks, Rob
VARCHAR without size defaults to 1 char, you need to change your function declaration
CREATE FUNCTION [dbo].[GetPlayed](#Team VARCHAR(32))
.....
Without size your parameter #Team will receive just the first letter of your passed team value and, of course, the WHERE statement is unable to find any result in your games table
I have this result
ZONE SITE BRAND VALUE
north a a_brand1 10
north a a_brand2 15
north a a_brand3 27
south b b_brand1 17
south b b_brand2 5
south b b_brand3 56
Is there any way to add a column wih the sum grouped by zone, and site? like this: Total site a = 10+15+27 = 52 and total site b = 17+5+56 = 78
ZONE SITE BRAND VALUE TOTAL_IN_SITE
north a a_brand1 10 52
north a a_brand2 15 52
north a a_brand3 27 52
south b b_brand1 17 78
south b b_brand2 5 78
south b b_brand3 56 78
Thanks.
Use sum window function.
select t.*,sum(val) over(partition by zone,site)
from tbl t