DISCLAIMER : I Know this has been asked numerous times, but all I want is an alternative.
The table is as below :
create table
Account
(Name varchar(20),
TType varchar(5),
Amount int);
insert into Account Values
('abc' ,'c', 500),
('abc', 'c', 700),
('abc', 'd', 100),
('abc', 'd', 200),
('ab' ,'c', 300),
('ab', 'c', 700),
('ab', 'd', 200),
('ab', 'd', 200);
Expected result is simple:
Name Balance
------ -----------
ab 600
abc 900
The query that worked is :
select Name, sum(case TType when 'c' then Amount
when 'd' then Amount * -1 end) as balance
from Account a1
group by Name.
All I want is, is there any query sans the 'case' statement (like subquery or self join ) for the same result?
Sure. You can use a second query with a where clause and a union all:
select name
, sum(Amount) balance
from Account a1
where TType when 'c'
group
by Name
union
all
select name
, sum(Amount * -1) balance
from Account a1
where TType when 'd'
group
by Name
Or this, using a join with an inline view:
select name
, sum(Amount * o.mult) balance
from Account a1
join ( select 'c' cd
, 1 mult
from dual
union all
select 'd'
, -1
from dual
) o
on o.cd = a1.TType
group
by Name
To be honest, I would suggest to use case...
Use the ASCII code of the char and try to go from there. It is 100 for 'd' and 99 for 'c'. Untested example:
select Name, sum((ASCII(TType) - 100) * Amount * (-1)) + sum((ASCII(TType) - 99) * Amount * (-1)))) as balance from Account a1 group by Name.
I would not recommend using this method but it is a way of achieving what you want.
select t.Name, sum(t.cr) - sum(t.dr) as balance from (select Name, case TType when 'c' then sum(Amount) else 0 end as cr, case TType when 'd' then sum(Amount) else 0 end as dr from Account group by Name, TType) t group by t.Name;
This will surely help you!!
The following worked for me on Microsoft SQL server. It has the Brought Forward balance as well
WITH tempDebitCredit AS (
Select 0 As Details_ID, null As Creation_Date, null As Reference_ID, 'Brought
Forward' As Transaction_Kind, null As Amount_Debit, null As Amount_Credit,
isNull(Sum(Amount_Debit - Amount_Credit), 0) 'diff'
From _YourTable_Name
where Account_ID = #Account_ID
And Creation_Date < #Query_Start_Date
Union All
SELECT a.Details_ID, a.Creation_Date, a.Reference_ID, a.Transaction_Kind,
a.Amount_Debit, a.Amount_Credit, a.Amount_Debit - a.Amount_Credit 'diff'
FROM _YourTable_Name a
where Account_ID = #Account_ID
And Creation_Date >= #Query_Start_Date And Creation_Date <= #Query_End_Date
)
SELECT a.Details_ID, a.Creation_Date, a.Reference_ID, a.Transaction_Kind,
a.Amount_Debit, a.Amount_Credit, SUM(b.diff) 'Balance'
FROM tempDebitCredit a, tempDebitCredit b
WHERE b.Details_ID <= a.Details_ID
GROUP BY a.Details_ID, a.Creation_Date, a.Reference_ID, a.Transaction_Kind,
a.Amount_Debit, a.Amount_Credit
Order By a.Details_ID Desc
Related
How do you rewrite this code correctly in Snowflake?
select account_code, date,
sum(box_revenue_recognition_amount) as box_revenue_recognition_amount
, sum(case when box_flg = 1 then box_sku_quantity end) as box_sku_quantity
, sum(box_revenue_recognition_refund_amount) as box_revenue_recognition_refund_amount
, sum(box_discount_amount) as box_discount_amount
, sum(box_shipping_amount) as box_shipping_amount
, sum(box_cogs) as box_cogs
, max(invoice_number) as invoice_number
, max(order_number) as order_number
, min(box_refund_date) as box_refund_date
, first (case when order_season_rank = 1 then box_type end) as box_type
, first (case when order_season_rank = 1 then box_order_season end) as box_order_season
, first (case when order_season_rank = 1 then box_product_name end) as box_product_name
, first (case when order_season_rank = 1 then box_coupon_code end) as box_coupon_code
, first (case when order_season_rank = 1 then revenue_recognition_reason end) as revenue_recognition_reason
from dedupe_sub_user_day
group by account_code, date
I have tried to apply window rule has explained in first_value Snowflake documentation to no avail with the SQLCompilation Error: ... is not a valid group by expression
select account_code, date,
first_value(case when order_season_rank = 1 then box_type end) over (order by box_type ) as box_type
first_value(case when order_season_rank = 1 then box_order_season end) over (order by box_order_season ) as box_order_season,
first_value(case when order_season_rank = 1 then box_product_name end) over (order by box_product_name ) as box_product_name,
first_value(case when order_season_rank = 1 then box_coupon_code end) over (order by box_coupon_code ) as box_coupon_code,
first_value(case when order_season_rank = 1 then revenue_recognition_reason end) over (order by revenue_recognition_reason ) as revenue_recognition_reason
, sum(box_revenue_recognition_amount) as box_revenue_recognition_amount
, sum(case when box_flg = 1 then box_sku_quantity end) as box_sku_quantity
, sum(box_revenue_recognition_refund_amount) as box_revenue_recognition_refund_amount
, sum(box_discount_amount) as box_discount_amount
, sum(box_shipping_amount) as box_shipping_amount
, sum(box_cogs) as box_cogs
, max(invoice_number) as invoice_number
, max(order_number) as order_number
, min(box_refund_date) as box_refund_date
from dedupe_sub_user_day
group by 1,2
First_value is not an aggregate function. But an window function, thus you get an error when you use it in relation to a GROUP BY. If you want to use it with a group up put an ANY_VALUE around it.
here is some data I will use below in a CTE:
with data(id, seq, val) as (
select * from values
(1, 1, 10),
(1, 2, 11),
(1, 3, 12),
(1, 4, 13),
(2, 1, 20),
(2, 2, 21),
(2, 3, 22)
)
So to show FIRST_VALUE is a window function we can just use it
select *
,first_value(val)over(partition by id order by seq) as first_val
from data
ID
SEQ
VAL
FIRST_VAL
1
1
10
10
1
2
11
10
1
3
12
10
1
4
13
10
2
1
20
20
2
2
21
20
2
3
22
20
So if we GROUP BY id, to avoid an error we have to wrap the FIRST_VALUE by an aggregate value, as given the are all equal, ANY_VALUE is a good pick, and it seems it needs to be in another layer of SQL:
select id
,count(*) as count
,any_value(first_val) as first_val
from (
select *
,first_value(val)over(partition by id order by seq) as first_val
from data
)
group by 1
order by 1;
ID |COUNT |FIRST_VAL
1 |4 |10
2 |3 |20
now MAX can be fun to use where used in relation to ROW_NUMBER() to pick the best value:
select id
,count(*) as count
,max(first_val) as first_val
from (
select *
,row_number() over (partition by id order by seq) as rn
,iff(rn=1, val, null) as first_val
from data
)
group by 1
order by 1;
but this is almost more complex than the ANY_VALUE solution, but I feel the performance would be better, but if they have the same magnitude of performance, I would always choose readable to you and your team, over a smaller performance difference.
With the way you've written your case statement, it leads me to believe that there is only one row with order_season_rank = 1 when grouping by account_code and date.
If that is true, then you can use several of Snowflake's aggregate functions and you will get what you want. Rather than trying to get the first value, you could use min, max, any_value, mode (or really any aggregate function that will ignore nulls) to return the only non-null value in the aggregation.
first() this link suggests first is only supported by MS ACCESS however you've tagged the question with MYSQL, Snowflake. Could you confirm the DBMS's you are using?
by moving the first_value() function outside the aggregation it seems to work fine
school_name
class
medium
total
srk
1
english
13
srk
2
english
14
srk
3
english
15
srk
1
french
16
srk
2
french
16
srk
3
french
18
vrk
1
english
17
vrk
1
french
18
I want that output by
school_name
class1eng
class1french
class2eng
class2french
class3english
class3french
[output needed][ otput required
output
You’re looking for multiple select statements along with appropriate cases to satisfy.
This should work for you
Select
school_name,
Sum(Case when (class=1 and medium=‘English’) then total else 0 end) as class1english,
Sum(Case when (class=1 and medium=‘French’) then total else 0 end) as class1french,
Sum(Case when (class=2 and medium=‘English’) then total else 0 end) as class2english,
Sum(Case when (class=2 and medium=‘French’) then total else 0 end) as class2french,
Sum(Case when (class=3 and medium=‘English’) then total else 0 end) as class3english,
Sum(Case when (class=3 and medium=‘French’) then total else 0 end) as class3french
From
table_name
Group by
school_name
Seems to be a simple ask, assumed you also want to order your results. Please check below query if that helps
SELECT school_name, class, medium, SUM(total) AS Total
FROM <Table Name>
GROUP BY school_name, class, medium
This solution is for general purpose, complex, but functional.
I've made it for myself as exercise and challenge.
/* --------------- TABLE --------------- */
CREATE TABLE schools_tab
(school VARCHAR(9), class INT, subj VARCHAR(9), total INT);
INSERT INTO schools_tab VALUES
('srk', 1, 'english', 13),
('srk', 2, 'english', 14),
('srk', 3, 'english', 15),
('srk', 1, 'french', 16),
('srk', 2, 'french', 16),
('srk', 3, 'french', 18),
('vrk', 1, 'english', 17),
('vrk', 1, 'french', 18);
/* -------------- DYNAMIC QUERY --------------- */
SET #sql=NULL;
WITH cte AS (
SELECT school, class, subj, ROW_NUMBER() OVER (PARTITION BY school) AS idx, DENSE_RANK() OVER (ORDER BY school) AS ids
FROM (SELECT DISTINCT school FROM schools_tab) A LEFT JOIN (SELECT DISTINCT class, subj FROM schools_tab) B ON (1=1)
), cte2 AS (
SELECT A.ids, A.idx, A.school, A.class, A.subj, COALESCE(B.total, 0) AS total
FROM cte A LEFT JOIN schools_tab B ON (A.school=B.school AND A.class=B.class AND A.subj=B.subj)
), cte3 AS (
SELECT DISTINCT class, subj
FROM schools_tab
ORDER BY class, subject
)
SELECT CONCAT('WITH RECURSIVE cte AS (
SELECT school, class, subj, ROW_NUMBER() OVER (PARTITION BY school) AS idx, DENSE_RANK() OVER (ORDER BY school) AS ids
FROM (SELECT DISTINCT school FROM schools_tab) A LEFT JOIN (SELECT DISTINCT class, subj FROM schools_tab) B ON (1=1)
), cte2 AS (
SELECT A.ids, A.idx, A.school, A.class, A.subj, COALESCE(B.total, 0) AS total
FROM cte A LEFT JOIN schools_tab B ON (A.school=B.school AND A.class=B.class AND A.subj=B.subj)
), ctx AS ('
'SELECT (SELECT MAX(ids) FROM cte2) AS n,',
GROUP_CONCAT(DISTINCT CONCAT( '(SELECT total FROM cte2 WHERE idx=',idx,' AND ids=n) AS class',class,subj ) ORDER BY class, subj),
' UNION ALL SELECT n-1 AS n,',
GROUP_CONCAT(DISTINCT CONCAT( '(SELECT total FROM cte2 WHERE idx=',idx,' AND ids=n) AS class',class,subj ) ORDER BY class, subj),
' FROM ctx WHERE n>0',
') SELECT DISTINCT SUBSTRING_INDEX(SUBSTRING_INDEX(''srk,vrk'', '','', n+1), '','', -1) AS school,',
GROUP_CONCAT(DISTINCT CONCAT('class',class,subj)),
' FROM ctx ORDER BY school'
) INTO #sql
FROM cte2;
PREPARE stmt1 FROM #sql;
EXECUTE stmt1;
I need to get running totals between 2 dates in my sql server table and update the records simultaneoulsy. My data is as below and ordered by date,voucher_no
DATE VOUCHER_NO OPEN_BAL DEBITS CREDITS CLOS_BAL
-------------------------------------------------------------------
10/10/2017 1 100 10 110
12/10/2017 2 110 5 105
13/10/2017 3 105 20 125
Now if i insert a record with voucher_no 4 on 12/10/2017 the output should be like
DATE VOUCHER_NO OPEN_BAL DEBITS CREDITS CLOS_BAL
------------------------------------------------------------------
10/10/2017 1 100 10 110
12/10/2017 2 110 5 105
12/10/2017 4 105 4 109
13/10/2017 3 109 20 129
I have seen several examples which find running totals upto a certain date but not between 2 dates or from a particular date to end of file
You should consider changing your database structure. I think it will be better to keep DATE, VOUCHER_NO, DEBITS, CREDITS in one table. And create view to calculate balances. In that case you will not have to update table after each insert. In this case your table will look like
create table myTable (
DATE date
, VOUCHER_NO int
, DEBITS int
, CREDITS int
)
insert into myTable values
('20171010', 1, 10, null),( '20171012', 2, null, 5)
, ('20171013', 3, 20, null), ('20171012', 4, 4, null)
And view will be
;with cte as (
select
DATE, VOUCHER_NO, DEBITS, CREDITS, bal = isnull(DEBITS, CREDITS) * case when DEBITS is null then -1 else 1 end
, rn = row_number() over (order by DATE, VOUCHER_NO)
from
myTable
)
select
a.DATE, a.VOUCHER_NO, a.DEBITS, a.CREDITS
, OPEN_BAL = sum(b.bal + case when b.rn = 1 then 100 else 0 end) - a.bal
, CLOS_BAL = sum(b.bal + case when b.rn = 1 then 100 else 0 end)
from
cte a
join cte b on a.rn >= b.rn
group by a.DATE, a.VOUCHER_NO, a.rn, a.bal, a.DEBITS, a.CREDITS
Here's another solution if you can not change your db structure. In this case you must run update statement each time after inserts. In both cases I assume that initial balance is 100 while recalculation
create table myTable (
DATE date
, VOUCHER_NO int
, OPEN_BAL int
, DEBITS int
, CREDITS int
, CLOS_BAL int
)
insert into myTable values
('20171010', 1, 100, 10, null, 110)
,( '20171012', 2, 110, null, 5, 105)
, ('20171013', 3, 105, 20, null, 125)
, ('20171012', 4, null, 4, null, null)
;with cte as (
select
DATE, VOUCHER_NO, DEBITS, CREDITS, bal = isnull(DEBITS, CREDITS) * case when DEBITS is null then -1 else 1 end
, rn = row_number() over (order by DATE, VOUCHER_NO)
from
myTable
)
, cte2 as (
select
a.DATE, a.VOUCHER_NO
, OPEN_BAL = sum(b.bal + case when b.rn = 1 then 100 else 0 end) - a.bal
, CLOS_BAL = sum(b.bal + case when b.rn = 1 then 100 else 0 end)
from
cte a
join cte b on a.rn >= b.rn
group by a.DATE, a.VOUCHER_NO, a.rn, a.bal
)
update a
set a.OPEN_BAL = b.OPEN_BAL, a.CLOS_BAL = b.CLOS_BAL
from
myTable a
join cte2 b on a.DATE = b.DATE and a.VOUCHER_NO = b.VOUCHER_NO
I'm working with SQL Server 2008 R2 and have the following table.
CREATE TABLE room
(id int,
dt date,
course char(1),
constraint pk_roomtime primary key (id, dt)
);
INSERT INTO room (id, dt, course) values
(1, '20140412', 'A'),
(1, '20140414', 'A'),
(1, '20140415', 'A'),
(1, '20140416', 'B'),
(1, '20140417', 'A'),
(1, '20140421', 'A'),
(1, '20140422', 'B'),
(1, '20140423', 'B');
I have to find the first and last date for each block of courses in a room without regard to the gaps between dates. My result for room 1 should look like this:
A 20140412 20140415
B 20140416 20140416
A 20140417 20140421
B 20140422 20140423
I tried using a join to a calendar table but couldn't get it to work.
Just for the sake of completeness, and to answer a question raised in #Nico comment, here's the 2012 solution (I'm aware the OP uses 2008r2):
with x as (
select *,
lag(dt) over(order by dt) as lag_dt,
lag(course) over(order by dt) as lag_course
from room
),
y as (
select *,
sum(case when course<>lag_course then 1 else 0 end) over(order by dt) as grp
from x
)
select min(course), min(dt), max(dt)
from y
group by grp
Not exactly the resultset you asked for, but I think the result itself matches your idea:
with "cte" as
(
select
rn = row_number() over ( order by dt )
, *
from room
)
,"preprocessed" as
(
select
"current"."course"
, startDate = case when "predecessor"."id" is null then "current"."dt" else null end
, endDate = case when "successor"."id" is null then "current"."dt" else null end
, "current"."dt"
from
"cte" as "current"
left join "cte" as predecessor
on 1 = 1
and "current"."id" = predecessor."id"
and "current"."course" = predecessor."course"
and "current"."rn" -1 = predecessor."rn"
left join "cte" as successor
on 1 = 1
and "current"."id" = successor."id"
and "current"."course" = successor."course"
and "current"."rn" +1 = successor."rn"
), "pvt" as
(
select
"course"
, "dt"
, "type"
from
( select "course", "startDate", "endDate" from "preprocessed" ) as data
unpivot ( "dt" for "type" in ( "startDate", "endDate")) as pvt
)
select * from
"pvt"
See SQL-Fiddle.
Please help me with ideas (preferably CTE) to solve this as efficient as possible.
So... In the table shown, the cells in column "Value" which are red are the known values
and the highlighted greens are values to be calculated with formulas shown next to them.
I am trying to see if this is possible with CTEs at all.
It's like the last known value and its respective interval; the next known value and the respective interval; and the interval for which the value is calculated for; all are used to find the value which then intern will be used the very same way for the next unknown value.
Here is a solution.
Hope it helps. :)
;with testdata(store,shipntrvl,value)
as
(
select 'abc', 1, 0.56
union all
select 'abc', 5, null
union all
select 'abc', 10, 0.63
union all
select 'abc', 15, null
union all
select 'abc', 20, null
union all
select 'abc', 25, null
union all
select 'abc', 30, 0.96
union all
select 'xyz', 1, 0.36
union all
select 'xyz', 5, 0.38
union all
select 'xyz', 10, null
union all
select 'xyz', 15, 0.46
union all
select 'xyz', 20, null
union all
select 'xyz', 25, null
union all
select 'xyz', 30, 0.91
)
,calc
as
(
select *
,ROW_NUMBER() OVER(partition by store order by shipntrvl) as row_no
from testdata
)
,extra
as
(
select *
,(select top 1 row_no
from calc c2
where c2.row_no < c1.row_no
and c1.value is null
and c2.value is not null
and c1.store = c2.store
order by c2.row_no desc) as prev_nr
,(select top 1 row_no
from calc c2
where c2.row_no > c1.row_no
and c1.value is null
and c2.value is not null
and c1.store = c2.store
order by c2.row_no asc) as next_nr
from calc c1
)
select c.store
,c.shipntrvl
,c.value
,isnull(c.value,
(cnext.value-cprev.value)/
(cnext.shipntrvl-cprev.shipntrvl)*
(c.shipntrvl-cprev.shipntrvl)+cprev.value
) as calculated_value
from calc c
join extra
on extra.row_no = c.row_no
and extra.store = c.store
join calc cnext
on cnext.row_no = case when c.value is null
then extra.next_nr
else c.row_no
end
and c.store = cnext.store
join calc cprev
on cprev.row_no = case when c.value is null
then extra.prev_nr
else c.row_no
end
and c.store = cprev.store
Here is what I came up with (storevalue is the beginning table in your example)
with knownvalues as (
select store, shipNtrvl,value
from storevalue where Value is not null
), valueranges as
(
select
k.store,
k.ShipNtrvl as lowrange,
MIN(s.ShipNtrvl) as highrange,
(select value from storevalue where store = k.store and ShipNtrvl = MIN(s.shipNtrvl))-
(select value from storevalue where store = k.store and ShipNtrvl = k.ShipNtrvl) as term1,
MIN(s.ShipNtrvl) - k.ShipNtrvl as term2,min(k.Value) as lowval
from knownvalues k
join storevalue s on s.Value is not null and s.store= k.store and s.ShipNtrvl > k.ShipNtrvl
group by k.store, k.shipntrvl
)
select s.store,s.ShipNtrvl,v.term1/v.term2*(s.ShipNtrvl-v.lowrange)+ v.lowval as value
from storevalue s join valueranges v on v.store = s.store and s.ShipNtrvl between v.lowrange and v.highrange
where s.Value is null
union
select * from storevalue where value is not null
Just change the select to an update to write the values into the table.