I am trying to get the sum of 2 columns in one table but with different where the condition, the only difference is the amount per department is calculated based on 17% Margin.
The Result should be the total revenue grouped by Event Name and Event ID.
for a sql Report, I have written 2 sql statements with different conditions and got the correct value for 2 columns but separately, i have summed both in a way but it was for one event.
SELECT EVT_ID, Event_Desc, Sum(Order_Total) as Total + (Select SUm(Order_Total *0.17) as Total from Orders Join Events EM On OrD.EVT_ID = EV.EVENTS_ID
where EVT_START_DATE between '2019-01-01' and '2019-01-31' Order_Department = 'FAB' )
From Orders Join Events EM On OrD.EVT_ID = EV.EVENTS_ID
where EVT_START_DATE between '2019-01-01' and '2019-01-31' Order_Department <> 'FAB'
Group by EVT_ID, Event_Desc
select EVT_ID, Event_Desc, sum(Total)as Total
from
(
SELECT EVT_ID, Event_Desc, Sum(Order_Total) as Total
From Orders
Join Events EM On OrD.EVT_ID = EV.EVENTS_ID
where EVT_START_DATE between '2019-01-01' and '2019-01-31' and Order_Department <> 'FAB'
Group by EVT_ID, Event_Desc
union
Select EVT_ID, Event_Desc, SUm(Order_Total *0.17) as Total
from Orders
Join Events EM On OrD.EVT_ID = EV.EVENTS_ID
where EVT_START_DATE between '2019-01-01' and '2019-01-31' and Order_Department = 'FAB' ) tbl
Group by EVT_ID, Event_Desc
OR
SELECT EVT_ID, Event_Desc, Sum(case when Order_Department = 'FAB' then Order_Total else Order_Total *0.17 end ) as Total
From Orders
Join Events EM On OrD.EVT_ID = EV.EVENTS_ID
where EVT_START_DATE between '2019-01-01' and '2019-01-31'
Group by EVT_ID, Event_Desc
If I followed you correctly, you could approach this with conditional aggregation. You can use a CASE construct within the SUM aggregate function to check to which departement the current record belongs to and do the computation accordingly.
SELECT
o.evt_id,
event_desc,
SUM(CASE
WHEN order_department = 'FAB' THEN order_total * 0.17
ELSE order_total END
) AS Total
FROM orders o
INNER JOIN events e On o.evt_id = e.events_id
WHERE evt_start_date BETWEEN '2019-01-01' and '2019-01-31'
GROUP BY
o.evt_id,
event_desc
NB: most columns in your query are not prefixed with a table alias, making it unclear from which table they come from. I added them when it was possible to make an educated guess from your sql code, and I would higly recommend that you add prefixes to all of the remaining.
Related
I have the following two queries that I need to join together to get one final output.
The primary keys are year, month,cost_center, g.account, and e.submapping.
The first table is an acutals table from a GL while the second query is a planned amount. I am trying to compare actuals to plan and need to join these two tables with the primary keys listed.
---Query 1 (e)
with Ranking as (
select c.*, rank() over(partition by
c.ledger_name,
c.company_code,
c.location_code,
c.cost_center,
c.account_number,
c.period_name,
c.currency,
c.amount,
c.entered_amount,
c.dm_insert_dt
order by dw_last_updated DESC) rnk
from wbr_global.gl_ap_details c
where cost_center IN ('1168','1153','1172','1257')
and ledger_name IN ('ABC.com, Inc.')
and account_number between '59999' and '70000')
select
to_date(period_name, 'Mon-YY') as BalanceDate,
date_part(month,(to_date(period_name, 'Mon-YY'))) as Months,
Case
when right(period_name,2) = right(date_part_year(current_date),2) then 'Current Year'
when right(period_name,2) = right(date_part_year(current_date) - 1,2) then 'Prior Year'
else 'Error' end as YearFlag,
EXTRACT(YEAR from balancedate) as year,
EXTRACT(Month from balancedate) as month,
e.sub_mapping,
c.cost_center,
c.period_name,
sum(c.amount) as amount
from Ranking c
left join wbr_global.raw_station_extended_attribute d on c.location_code = d.location_code
left join sandbox.utr_fixed_mapping_na e on c.account_number = e.account_number
where c.cost_center IN ('1168','1153','1172','1257')
and c.ledger_name = 'abc.com, Inc.'
and c.rnk = 1
group by 1,2,3,4,5,6,7,8
limit 10
Here is the second query
---Second query g
EXTRACT(YEAR from first_day_of_month) as year,
EXTRACT(Month from first_day_of_month) as month,
first_day_of_month,country,cost_center,scenario,'employee_relation' as account,
sum(employee_relation) as amount
from prophecy_to_sabre_ds_db.prophecy_caffeine.output_ww_field_opex
where cost_center = 1172
AND scenario = 'Q2G_22_1'
group by 1,2,3,4,5,6
Would I be able to make one a sub query in the other and join that way.
(Query 2) as g on g.cost_center = c.cost_center
and g.account = e.sub_mapping
and g.year = e.year
and g.month = e.month
I have two tables time track and absence for an employee.
person_number Measure start_Date end_date Time_type
73636 10 01-Jan-2020 02-Jan-2020 Double
73636 24 06-Jan-2020 08-jan-2020 Double
73636 10 15-Jan-2020 25-Jan-2020 Regular Pay
73636 11.9 06-Jan-2020 08-jan-2020 Double
73636 27 10-Jan-2020 15-Jan-2020 Regular Pay
Absence det
person_number start_Date end_date duration Absence_type
73636 05-Jan-2020 10-Jan-2020 10 Vacation
73636 06-Jan-2020 18-jan-2020 9 Paid Leave
73636 20-Jan-2020 21-jan-2020 1 Paid Leave
Now when i pass the from and to date as 01-Jan-2020 and 31-Jan-2020, the output should look like -
Person_Number Double Regular Hour_code hour_amount
73636 31.9 37 Paid Leave 10
The hour_code should have only "Paid Leave" and no other absences
Now I have written the below query for this
SELECT
distinct person_number,
sum(
CASE
WHEN elements = 'Double' THEN measure
END
) AS OT_Hours,
sum(
CASE
WHEN elements LIKE 'Regular Pay%' THEN measure
END
) AS regular_measure_hours,
sum(
CASE
WHEN absence_name IN ('Paid Leave') THEN absence_duration
END
) AS hour3_amount,
max(
CASE
WHEN absence_name IN ('Paid Leave') THEN 'Paid Leave'
END
) AS hour3_code
FROM
(
select
person_number,
Time_type elements,
Absence_type absence_name,
duration,
measure
from
time_track_tab,
abs_tab,
per_all_people_F papf
where
time_track_tab.person_id = abs_tab.person_id
and abs_tab.person_id = papf.person_id
and abs_tab.Absence_type = 'Paid Leave'
)
group by
person_number
This is giving me multiple row output and calculation of sum is not coming correctly as in between the to and from date there are different dates present for both absence and time track.
My requirement is to calculate the sum of ALL the duration and measure column within these parameter dates. How can i tweak my query to get the correct sum between these dates ?
Is there a way to use partition by or group by or anything else to calculation these correctly in the column
You probably need to group both tables first then join them together to avoid the cross join.
select person_number, TimeTrack.DoublePay, TimeTrack.Regular,
Absenses.Hour_code, Absenses.hour_amount from
per_all_people_F papf,
(select
person_id, sum(duration) as hour_amount, Absence_type as Hour_code
from
abs_tab
where
abs_tab.Absence_type = 'Paid Leave'
and
start_Date between '2020-01-01' and '2020-01-31'
group by person_id,Absence_type
) Absenses,
(select
person_id,
sum(case when Time_type = 'Double' then Measure end) as DoublePay,
sum(case when Time_type = 'Regular Pay' then Measure end) as Regular
from time_track_tab
where
start_Date between '2020-01-01' and '2020-01-31'
group by person_id
) TimeTrack
where
papf.person_id = TimeTrack.person_id
and
papf.person_id = Absenses.person_id
and
papf.person_id = 73636
I made a SqlFiddle if you want to play with it
http://sqlfiddle.com/#!9/03e460/36
Also my 2 cents; I'd recommend left outer joining from the per_all_people_F table or else people without absenses will get filtered out.
See if, what you need is something like this:
select * from
(SELECT person_number,
sum(
CASE
WHEN Time_type = 'Double' THEN measure
END
) AS Double,
sum(
CASE
WHEN Time_type = ('Regular Pay') THEN measure
END
) AS regular
from time_track_tab
group by person_number
) A
inner join
(SELECT
person_number,
sum(
CASE
WHEN Absence_type = 'Vacation' THEN duration
END
) AS Vacation,
sum(
CASE
WHEN Absence_type = ('Paid Leave') THEN duration
END
) AS paidLeave
from abs_tab
group by person_number
)B on A.person_number = B.person_number
here the fiddle:
http://sqlfiddle.com/#!4/21253/2
I have 2 tables. 1st - wallets, 2nd - wallet histories. Now I can make a selection by the sum of all completed deposits/withdrawal for each wallet.
Sql-code looks something like this:
SELECT w.*, wh.deposit, wh2.withdrawal, wh3.pending
FROM wallets w
LEFT JOIN (
SELECT wallet_id, SUM(amount) deposit
FROM wallet_histories
WHERE type = 'Deposit'
AND status = 'Completed'
AND timestamp BETWEEN '2019-08-02 00:00:00+00' AND '2019-08-03 00:00:00+00'
GROUP BY wallet_id
) wh ON w.id = wh.wallet_id
LEFT JOIN (
SELECT wallet_id, SUM(amount) withdrawal
FROM wallet_histories
WHERE type = 'Withdrawal'
AND status = 'Completed'
AND timestamp BETWEEN '2019-08-02 00:00:00+00' AND '2019-08-03 00:00:00+00'
GROUP BY wallet_id
) wh2 ON w.id = wh2.wallet_id
LEFT JOIN (
SELECT wallet_id, SUM(amount) pending
FROM wallet_histories
WHERE status = 'Pending'
GROUP BY wallet_id
) wh3 ON w.id = wh3.wallet_id
Next, I need to make this selection but with filtering by field enabled_at from the table wallets.
I supposed to make one more condition in WHERE:
AND timestamp >= w.enabled_at
but got error
LINE 10: AND timestamp >= w.enabled_at
^
HINT: There is an entry for table "w", but it cannot be referenced from this part of the query.
How i can avoid this error (maybe fully rebuild query)?
Thank you in advance.
You need to add the condition in each subquery. The results of the aggregations do not have enabled_at, so that column is not available in the outer query -- either in the on or where clauses.
That said, you can drastically simplify your query using conditional aggregation:
SELECT wallet_id,
SUM(amount) FILTER (WHERE type = 'Deposit') as deposit
SUM(amount) FILTER (WHERE type = 'Withdrawal') as withdrawal,
SUM(amount) FILTER (WHERE status = 'Pending') as pending
FROM wallet_histories
WHERE (type IN ('Deposit', 'Withdrawal') AND
status = 'Completed' AND
timestamp >= '2019-08-02' AND
timestamp < '2019-08-03'
) OR
status = 'Pending'
GROUP BY wallet_id;
This might make it easier to add additional conditions.
I work for a CPG company and need to create a report that compares the previous month's delivered units to the next month's forecast. (Simply, our forecasting tool screws up occasionally and this will help identify when the forecast is off.)
My issue is my SQL query is summing forecast sales correctly, but the sum of total delivered is not respecting the dates I have in my WHERE clause -- it's summing total delivered for as far back as the query can reach.
Here is my query:
SELECT
DelUnits.Customer, DelUnits.ObsText01,
FinalFcst.SKU, FinalFcst.Customer,
SUM(DelUnits.Value) AS TotalDelivered,
SUM(FinalFcst.FinalFcst) AS ForecastSales
FROM
DelUnits
LEFT JOIN
FinalFcst ON DelUnits.Customer = FinalFcst.Customer
WHERE
(FinalFcst.DT >= '2018-01-01' and FinalFcst.DT <= '2018-01-31')
AND (DelUnits.Date >= '2017-12-01' and DelUnits.Date <= '2017-12-31')
AND DelUnits.ObsText01 = '10_LB'
AND FinalFcst.SKU = '10_LB'
GROUP BY
DelUnits.Customer, DelUnits.ObsText01, FinalFcst.SKU, FinalFcst.Customer
Again, the query seems to work correctly for the final forecast (summing the forecast between 1/1/18 - 1/31/18) but sums the entire delivery history for a customer. I don't understand why it won't sum the delivery history for just 12/1/17 - 12/31/17.
Thank you for your help!
Presumably, there is only one row for FinalFcst. So, either include it in the GROUP BY clause or use MAX() instead of SUM():
max(FinalFcst.FinalFcst) as ForecastSales
One way to achieve this is to calculate TotalDelivered and ForecastSales in 2 different queries and then join them together.
Try this:
SELECT DelUnits.customer,
DelUnits.obstext01,
FinalFcst.sku,
FinalFcst.customer,
totaldelivered,
forecastsales
FROM (SELECT customer,
obstext01,
Sum(value) AS TotalDelivered
FROM delunits
WHERE date >= '2017-12-01'
AND date <= '2017-12-31'
AND obstext01 = '10_LB'
GROUP BY customer,
obstext01) DelUnits
LEFT JOIN (SELECT customer,
sku,
Sum(finalfcst) AS ForecastSales
FROM finalfcst
WHERE dt >= '2018-01-01'
AND dt <= '2018-01-31'
AND sku = '10_LB'
GROUP BY customer,
sku) FinalFcst ON DelUnits.customer = FinalFcst.customer
You have a many to many relationship between the tables. Ultimately you need to SUM() one table before joining to the other to create a one to many relationship, or you end up duplicating records.
My favorite approach is a derived table:
SELECT C.Customer,
C.ObsText01,
FC.SKU,
C.TotalDelivered,
SUM(FC.FinalFcst) ForecastSales
FROM (SELECT SUM(Value) TotalDelivered, Customer, ObsText01
FROM DelUnits
WHERE Date >= '2017-12-01' AND Date <= '2017-12-31'
AND ObsText01 = '10_LB'
GROUP BY Customer) C
LEFT JOIN FinalFcst FC ON C.Customer = FC.Customer
AND FC.DT >= '2018-01-01'
AND FC.DT <= '2018-01-31'
AND FC.SKU = '10_LB'
GROUP BY C.Customer, C.ObsText01, FC.SKU, C.TotalDelivered
A couple things: Added your forecast table filters to the join predicate, since having those in the WHERE will create an INNER JOIN out of your LEFT JOIN. Also removed FC.Customer from the select and the group since it is redundant with C.Customer.
Maybe you could try to create a temp table to calculate the delivery history. I am not sure of the SQL Server verbiage, but something like this:
WITH DEL_HIST AS
(SELECT DelUnits.Customer,
DelUnits.ObsText01,
sum(DelUnits.Value) as TotalDelivered,
FROM DelUnits
Where(DelUnits.Date >= '2017-12-01' and DelUnits.Date <= '2017-12-31')
and DelUnits.ObsText01 = '10_LB'
Group By DelUnits.Customer, DelUnits.ObsText01)
SELECT
DEL_HIST.Customer,
DEL_HIST.ObsText01,
FinalFcst.SKU,
FinalFcst.Customer,
DEL_HIST.TotalDelivered,
sum(FinalFcst.FinalFcst) as ForecastSales
FROM DEL_HIST
left join FinalFcst ON DelUnits.Customer = FinalFcst.Customer
Where (FinalFcst.DT >= '2018-01-01' and FinalFcst.DT <= '2018-01-31')
and FinalFcst.SKU = '10_LB'
Group By DelUnits.Customer, DelUnits.ObsText01, FinalFcst.SKU, FinalFcst.Customer
I want to count products showed in events between two dates. I have to fill 9 columns, each with other product type.
I would like to ask you if there are possibility to short this statement.
Below sql is first working but not effective attempt.
with events(event_id, customer_id) as (
select * from event
where start_date >= :stare_date
and end_date <= :end_date
),
select
(select count(*) from event_product where event_id in (select event_id from events where customer_id = customer.customer_id) and product_type = 'YLW') customer_ylw_products -- it works but its ugly and non effective
-------
-- repeat seven times for other type of products
-------
(select count(*) from event_product where event_id in (select event_id from events where customer_id = customer.customer_id) and product_type = 'RTL') customer_rtl_products
from customer
;
Notice that line
(select event_id from events where customer_id = customer.customer_id)
repeats about 9 times.
I've been trying to short this one by add following:
with events(event_id, customer_id) as (
select * from event
where start_date >= :stare_date
and end_date <= :end_date
),
**customer_events (event_id, customer_id) as (select * from events)**
select
(select count(*) from event_product where event_id in (select event_id from customer_events) and product_type = 'RTL') customer_rtl_products
from customers
where customer_events.customer_id = customer.customer_id -- doesnt works
having customer_events.customer_id = customer.customer_id -- doesnt works
Why don't you use case expressions?
WITH
events (event_id, customer_id)
AS (
SELECT
*
FROM event
WHERE start_date >= :stare_date
AND end_date <= :end_date
)
SELECT
*
FROM customer
LEFT JOIN (
SELECT
event_product.customer_id
, COUNT(CASE
WHEN event_product.product_type = 'YLW' THEN 1 END) AS count_YLW
, COUNT(CASE
WHEN event_product.product_type = 'RTL' THEN 1 END) AS count_RTL
FROM event_product
INNER JOIN events
ON event_product.event_id = events.event_id
GROUP BY
event_product.customer_id
) ev_counts
ON customer.customer_id = ev_counts.customer_id
;
You could do this without the CTE too if you prefer, just use what you currently have in the CTE as a derived table where events is now placed in the inner join.
footnote select * is a convenience only I don't know what fields are to be used, but they should be specified.
#Used_By_Already thanks for inspire me with inner joins between event_product and event and that Event_product doesnt have column customer_id so I simply added it!
That's my solution
with events(event_id, customer_id) as (
select * from event
where start_date >= :stare_date
and end_date <= :end_date
),
product_events (customer_id, product_type) as (
select event.customer_id, event_product.product_type
from events,event_product
where event_product.event_id = event.event_id and event_product.product_type in (''product_types'')
)
select
(select count(*) from product_events where customer_id = customer.customer_id and product_type = 'RTL') customer_rtl_products
from customers;
Performance for 50 rows in search increased from 45 seconds to only 5!
Thank you so much!