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I have a following select query That runs well
SELECT
division,
division_name,
object_account,
account_description,
Sum(value) AS PreferedSpend
FROM jde_dw.blanket_rpt
WHERE division = 02
AND vendor_type = 'PV'
AND month = 07
AND year = 2013
GROUP BY division, division_name, object_account, account_description
ORDER BY division
Now I want to add a column that shows total spend it would be the same query as above but without the vendor_type condition in the where statement.
So the final query will show Division, division_name, Object_account, Account_Description, Value( as preferred ) and value as( total which includes everything)
How can I do this?
Move the condition inside the SUM() so that only matching rows contribute to the sum:
SELECT
division,
division_name,
object_account,
account_description,
SUM(CASE WHEN vendor_type = 'PV' THEN value ELSE 0 END) as PreferedSpend,
SUM(value) AS TotalSpend
FROM jde_dw.blanket_rpt
WHERE division = 02
AND month = 07
AND year = 2013
GROUP BY division, division_name, object_account, account_description
ORDER BY division
Related
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I have a table that aggregates disables/reenables events in the following format:
Disabled Date
Enabled Date
Count
01/01
01/01
5
01/01
02/01
2
03/01
05/01
1
04/01
05/01
5
and want to build a report that aggregates the number of disables and reenables per day:
Date
Enables
Disables
01/01
5
7
02/01
2
0
03/01
0
1
04/01
0
5
05/01
6
0
I was able to build the following query that works for days that have at least one disable and one enable:
SELECT
disables.disable_date AS disable_date,
disables.disable_count disable_count,
enables.enable_count enable_count
FROM
(SELECT
disable_date,
sum(disable_count) disable_count
FROM table
GROUP BY 1) AS disables,
(SELECT
enable_date,
sum(disable_count) enable_count
FROM table
GROUP BY 1) AS enables
WHERE enables.enable_date = disables.disable_date;
Any suggestions how to build the complete output? I'm not sure this is the right strategy, so a JOIN could also be considered.
Thanks!
;WITH cte
AS (SELECT disabled_date AS Date,
Sum(count) AS Disables
FROM table1
GROUP BY disabled_date
UNION ALL
SELECT enabled_date AS Date,
Sum(-count) AS Disables
FROM table1
GROUP BY enabled_date)
SELECT cte.date,
COALESCE(Sum(CASE
WHEN cte.disables > 0 THEN cte.disables
END), 0) AS Enables,
COALESCE(Sum(CASE
WHEN cte.disables < 0 THEN -cte.disables
END), 0) AS Disables
FROM cte
GROUP BY cte.date
ORDER BY cte.date;
TEST
http://sqlfiddle.com/#!18/13cace/3
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If I run this query:
select date, sum(orders) as "Total orders"
from tbl
where date >=1 and date <= 4
group by date
How can I get the expected output as shown in the screenshot?
Use a left against generate_series():
select g.date,
sum(tbl.orders) as "Total orders"
from generate_series(1,4) as g(date)
left join tbl on tbl.date = g.date
group by g.date
WITH cte as (
SELECT date, orders
FROM dbo.Orders
),
cte2 as (
select top (SELECT MAX(date) FROM cte) ROW_NUMBER() over(order by a.name)
as date
from sys.all_objects a
)
SELECT cte2.date, SUM(ISNULL(orders, 0))
FROM cte2 LEFT JOIN cte ON cte2.date = cte.date
GROUP BY cte2.date
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hi this query bring for "one year 2020" ; but, i want to bring this query.
state_name ,2020 total deaths ,2021 total deaths
One option might be
select
s.statename,
sum(case when extract(year from st.date_) = 2020 then st.death end) deaths_2020,
sum(case when extract(year from st.date_) = 2021 then st.death end) deaths_2021
from statecases1 st join state_ s on s.statecode = st.statecode
group by s.statename
order by s.statename;
Your query can't return data for 2020 and 2021 because of the WHERE clause you used (you restricted dates to year 2020).
You can use this. Although i am not 100% clear but this is what i thought you need - sum by state and year. You can also use pivot.
WITH yearly_data AS
(SELECT s.statename, to_char(st.date_, 'YYYY') AS YEAR, sum(death) death
FROM covid.statecases1 st
JOIN covid_state_ s ON s.statecode=st.statecode
GROUP BY s.statename, to_char(st.date_, 'YYYY'))
SELECT DISTINCT a.statename, b.death 2020_death,c.death 2021_death
FROM yearly_data a
LEFT JOIN yearly_data b ON a.statename=b.statename AND b.year='2020'
LEFT JOIN yearly_data c ON a.statename=c.statename AND c.year='2021'
ORDER BY 1
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Question Description:Show for each customer and product combination, the average sales quantities for 4 quarters,Q1, Q2, Q3 and Q4(in four separate columns) –Q1 being the first 3 months of the year (Jan, Feb & Mar), Q2 the next 3 months (Apr, May & Jun), and so on–ignore the YEAR component of the dates (i.e., 3/11/2001is considered the same date as 3/11/2002, etc.).Also compute the average for the “whole” year(again ignoring the YEAR component, meaning simply compute AVG) along with the total quantities(SUM) and the counts(COUNT).
table as follow:enter image description here
The sample result:enter image description here
I am a beginner on SQL and I met such a problem. It needs to group the 4 quarters just by using aggregate functions and group by clause.
with cte as (
select
customer,
product,
case
when (month < 4) then 'Q1'
when (month >= 4 AND month < 7) then 'Q2'
when (month >= 7 AND month < 10) then 'Q3'
when (month >= 10) then 'Q4'
end AS quarter,
quant
from bgg.table_sof
),
cte_full as (
select
customer,
product,
avg(quant) as average,
sum(quant) as total,
count(quant) as count
from bgg.table_sof
GROUP BY customer, product
)
select
cte_full.customer,
cte_full.product,
avg(cte1.quant) as Q1_AVG,
avg(cte2.quant) as Q2_AVG,
avg(cte3.quant) as Q3_AVG,
avg(cte4.quant) as Q4_AVG,
average,
total,
count
from cte_full
left join cte cte1 on cte_full.customer = cte1.customer and cte_full.product = cte1.product
left join cte cte2 on cte_full.customer = cte2.customer and cte_full.product = cte2.product
left join cte cte3 on cte_full.customer = cte3.customer and cte_full.product = cte3.product
left join cte cte4 on cte_full.customer = cte4.customer and cte_full.product = cte4.product
where cte1.quarter = 'Q1' OR cte2.quarter = 'Q2' OR cte3.quarter = 'Q3' OR cte4.quarter = 'Q4'
group by cte_full.customer, cte_full.product, average, total, count;
It's a tricky task for a beginner. My advice is to start with some theory and easy practice.
There is two CTE (common table expression):
the first is for defining quarters from months.
the second (cte_full) for calculating the last 3 columns in the result table.
And final select joins separately calculated avg by quarters to result.
I'm sure it isn't easy for understanding for beginner, feel free to ask.
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I have a stored procedure that gets all rows in a table with a specific ID. What I want to do is get all rows from this table if the store_id is 0.
This is the code I use right now:
SELECT store_id, SUM(traffic) FROM traffic
WHERE store_id = #store_id AND year = #year
GROUP BY store_id
I want to change this query so that it returns all rows regardless of the store_id when #store_id = 0
Try the below
SELECT store_id, SUM(traffic) FROM traffic
WHERE (store_id = #store_id OR #store_id = 0) AND year = #year
GROUP BY store_id
IF #store_id = 0
BEGIN
SELECT store_id, SUM(traffic) FROM traffic
WHERE year = #year
GROUP BY store_id
END
ELSE
BEGIN
SELECT store_id, SUM(traffic) FROM traffic
WHERE store_id = #store_id AND year = #year
GROUP BY store_id
END
Test your store_id before making a request. If the store_id == 0, then make another request to get all regarding the store_id.
Try this, if #store_id may also be NULL then do the following
SELECT store_id, SUM(traffic) FROM traffic
WHERE (store_id = #store_id OR ISNULL(#store_id, 0) = 0)
AND year = #year
GROUP BY store_id