When I do a report I use the variable
=sum([sell])
and the result here is the sum of TOP 10. My question is how do I show the result of the sum with all the elements, like the TOP 10 wouldn't exists?
SQL example:
Select top 10 name, cust, sell from sales
In practice the query is monstrous, big and dirty:
SELECT top 125 COD_FAM, NOME_FAM, ID_VENDEDOR, NOME_VENDEDOR, ID_ZONA, CONTA_CLI, SUB_CONTA_CLI, NOME_CLI, SUM(VENDA1) AS VENDAS1, SUM(VENDA2) AS VENDAS2, ROUND(IIF(SUM(VENDA1)=0, 9999, ((SUM(VENDA2)-SUM(VENDA1)))/abs(SUM(VENDA1))*100), 2) AS PER_DIFF FROM( SELECT quarter, month, COD_FAM, NOME_FAM, ID_VENDEDOR, NOME_VENDEDOR, ID_ZONA, CONTA_CLI, SUB_CONTA_CLI, NOME_CLI, VENDA AS VENDA1, 0 AS VENDA2 FROM STKQRY_VENDAS07_FAM_MONTH_VND_CLI_F1 WHERE year = '2012' AND Month between '00' and '05' UNION ALL SELECT quarter, month, COD_FAM, NOME_FAM, ID_VENDEDOR, NOME_VENDEDOR, ID_ZONA, CONTA_CLI, SUB_CONTA_CLI, NOME_CLI, 0 AS VENDA1, VENDA AS VENDA2 FROM STKQRY_VENDAS07_FAM_MONTH_VND_CLI_F1 WHERE year = '2013' AND Month between '00' and '05' ) GROUP BY COD_FAM, NOME_FAM, ID_VENDEDOR, NOME_VENDEDOR, ID_ZONA, CONTA_CLI, SUB_CONTA_CLI, NOME_CLI HAVING (SUM(VENDA1) > 1000 OR SUM(VENDA2) > 1000) ORDER BY vendas2 desc
You need to join 2 queries like
SELECT TOP 10 Company, SUM(Sales) from MyTable Group By Company --Query to get data for TOP 10
Union All
SELECT 'Grand Total', SUM(Sales) from MyTable --Query to get the Grand total
Related
have a query on how to get all dates to show in my query on SQL server. I have tried to GENERATE_SERIES but was struggling on how to fit it in: code below on query.
WITH
cte_data AS (
SELECT
customer_id,
FORMAT(event_time,'yyyy-MM') as _month,
'eventtype1' AS source
FROM Pay.Money
UNION
SELECT
customer_id,
FORMAT(event_time,'yyyy-MM') as _month,
'eventtype2' AS source
FROM Pay.Send)
SELECT
_month,
COUNT(customer_id) AS active_customer
FROM(
SELECT
customer_id,
_month,
_no
FROM(
SELECT
customer_id,
_month,
count(customer_id) AS _no
FROM cte_data
GROUP BY
_month,
customer_id)l
WHERE _no>2)j
GROUP BY _month
My data that comes out shows what I want but I would like to show 0 values for months that have no data next to them
Currently data is
10-2021 5
12-2021 9
02-2022 2
What I would like
10-2021 5
11-2021 0
12-2021 9
01-2022 0
02-2022 2
My current output looks like this where I filtered out the result with only one SKU in my query.
I want to display results like the below image
So I tweaked my query a little bit but only got results like this
what should I do to display SKU as well, I don't want the Null value in the SKU column.
current query written so far
month_agg as
(select sku_number, extract(month from date_) as month, sum(v) as viewed, sum(a) as add_to_cart, sum(p) as purchased
from merge_and_pivot
where sku_number = '10671924'
group by sku_number, 2 order by 1,2)
, month_generate as
(SELECT extract(month from date_) as month
FROM UNNEST(GENERATE_DATE_ARRAY('2018-01-01', '2018-12-01', INTERVAL 1 MONTH)) AS date_)
select a.month, b.sku_number, coalesce(b.viewed, 0) , coalesce(b.add_to_cart, 0), coalesce(b.purchased, 0)
from month_generate a
left JOIN month_agg b on a.month = b.month
Consider below query
SELECT month,
MAX(sku_number) OVER() sku_number, -- assuming all sku_number is same
COALESCE(viewed, 0) viewed,
COALESCE(add_to_cart, 0) add_to_cart,
COALESCE(purchased, 0) purchased,
FROM UNNEST(GENERATE_ARRAY(1, 12)) month LEFT JOIN sample USING(month)
ORDER BY month;
output:
with sample:
CREATE TEMP TABLE sample AS
SELECT '10671924' sku_number, 1 month, 9 viewed, 6 add_to_cart, 0 purchased UNION ALL
SELECT '10671924', 10, 32, 8, 0 UNION ALL
SELECT '10671924', 11, 948, 688, 163 UNION ALL
SELECT '10671924', 12, 630, 299, 83;
Updated Query :
SELECT month,
sku.sku_number,
COALESCE(viewed, 0) viewed,
COALESCE(add_to_cart, 0) add_to_cart,
COALESCE(purchased, 0) purchased,
FROM (SELECT DISTINCT sku_number FROM sample) sku, UNNEST(GENERATE_ARRAY(1, 12)) month
LEFT JOIN sample USING(sku_number, month)
ORDER BY sku_number, month;
output:
How do I calculate the percentage difference from 2 different columns, calculated in that same query? Is it even possible?
This is what I have right now:
SELECT
Year(OrderDate) AS [Year],
Count(OrderID) AS TotalOrders,
Sum(Invoice.TotalPrice) AS TotalRevenue
FROM
Invoice
INNER JOIN Order
ON Invoice.InvoiceID = Order.InvoiceID
GROUP BY Year(OrderDate);
Which produces this table
Now I'd like to add one more column with the YoY growth, so even when 2016 comes around, the growth should be there..
EDIT:
I should clarify that I'd like to have for example next to
2015,5,246.28 -> 346,15942029% ((R2015-R2014) / 2014 * 100)
If you save your existing query as qryBase, you can use it as the data source for another query to get what you want:
SELECT
q1.Year,
q1.TotalOrders,
q1.TotalRevenue,
IIf
(
q0.TotalRevenue Is Null,
Null,
((q1.TotalRevenue - q0.TotalRevenue) / q0.TotalRevenue) * 100
) AS YoY_growth
FROM
qryBase AS q1
LEFT JOIN qryBase AS q0
ON q1.Year = (q0.Year + 1);
Access may complain it "can't represent the join expression q1.Year = (q0.Year + 1) in Design View", but you can still edit the query in SQL View and it will work.
What you are looking for is something like this?
Year Revenue Growth
2014 55
2015 246 4.47
2016 350 1.42
You could wrap the original query a twice to get the number from both years.
select orders.year, orders.orders, orders.revenue,
(select (orders.revenue/subOrders.revenue)
from
(
--originalQuery or table link
) subOrders
where subOrders.year = (orders.year-1)
) as lastYear
from
(
--originalQuery or table link
) orders
here's a cheap union'd table example.
select orders.year, orders.orders, orders.revenue,
(select (orders.revenue/subOrders.revenue)
from
(
select 2014 as year, 2 as orders, 55.20 as revenue
union select 2015 as year, 2 as orders, 246.28 as revenue
union select 2016 as year, 7 as orders, 350.47 as revenue
) subOrders
where subOrders.year = (orders.year-1)
) as lastYear
from
(
select 2014 as year, 2 as orders, 55.20 as revenue
union select 2015 as year, 2 as orders, 246.28 as revenue
union select 2016 as year, 7 as orders, 350.47 as revenue
) orders
I have a table Supplier with two columns, TotalStock and Date. I'm trying to write a single query that will give me stock totals by week / month / year for a list of suppliers.
So results will look like this..
SUPPLIER WEEK MONTH YEAR
SupplierA 50 100 2000
SupplierB 60 150 2500
SupplierC 15 25 200
So far I've been playing around with multiple selects but I can't get any further than this:
SELECT Supplier,
(
SELECT Sum(TotalStock)
FROM StockBreakdown
WHERE Date >= '2014-5-12'
GROUP BY Supplier
) AS StockThisWeek,
(
SELECT Sum(TotalStock)
FROM StockBreakdown
WHERE Date >= '2014-5-1'
GROUP BY Supplier
) AS StockThisMonth,
(
SELECT Sum(TotalStock)
FROM StockBreakdown
WHERE Date >= '2014-1-1'
GROUP BY Supplier
) AS StockThisYear
This query throws an error as each individual grouping returns multiple results. I feel that I'm close to the solution but can't work out where to go
You don't have to use subqueries to achieve what you want :
SELECT Supplier
, SUM(CASE WHEN Date >= CAST('2014-05-12' as DATE) THEN TotalStock END) AS StockThisWeek
, SUM(CASE WHEN Date >= CAST('2014-05-01' as DATE) THEN TotalStock END) AS StockThisMonth
, SUM(CASE WHEN Date >= CAST('2014-01-01' as DATE) THEN TotalStock END) AS StockThisYear
FROM StockBreakdown
GROUP BY Supplier
You may need to make the selects for the columns return only a single result. You could try this (not tested currently):
SELECT Supplier,
(
SELECT TOP 1 StockThisWeek FROM
(
SELECT Supplier, Sum(TotalStock) AS StockThisWeek
FROM StockBreakdown
WHERE Date >= '2014-5-12'
GROUP BY Supplier
) tmp1
WHERE tmp1.Supplier = Supplier
) AS StockThisWeek,
(
SELECT TOP 1 StockThisMonth FROM
(
SELECT Supplier, Sum(TotalStock) AS StockThisMonth
FROM StockBreakdown
WHERE Date >= '2014-5-1'
GROUP BY Supplier
) tmp2
WHERE tmp2.Supplier = Supplier
) AS StockThisMonth,
...
This selects the supplier and then tries to create two columns StockThisWeek and StockThisMonth by selecting the first entry from the select you created before. As through the GROUP BY there should only be one entry per supplier, so you don't lose and data.
I have a SQL table "ITM_SLS" with the following fields:
ITEM
DESCRIPTION
TRANSACTION #
DATE
QTY SOLD
I want to be able to output QTY SOLD for a one month value and a year to date value so that the output would look like this:
ITEM, DESCRIPTION, QTY SOLD MONTH, QTY SOLD YEAR TO DATE
Is this possible?
You could calculate the total quantity sold using group by in a subquery. For example
select a.Item, a.Description, b.MonthQty, c.YearQty
from (
select distinct Item, Description from TheTable
) a
left join (
select Item, sum(Qty) as MonthQty
from TheTable
where datediff(m,Date,getdate()) <= 1
group by Item
) b on a.Item = b.Item
left join (
select Item, sum(Qty) as YearQty
from TheTable
where datediff(y,Date,getdate()) <= 1
group by Item
) c on a.Item = c.Item
The method to limit the subquery to a particular date range differs per DBMS, this example uses the SQL Server datediff function.
Assuming the "one month" is last month...
select item
, description
, sum (case when trunc(transaction_date, 'MM')
= trunc(add_months(sysdate, -1), 'MM')
then qty_sold
else 0
end) as sold_month
, sum(qty_sold) as sold_ytd
from itm_sls
where transaction_date >= trunc(sysdate, 'yyyy')
group by item, description
/
This will give you an idea of what you can do:
select
ITEM,
DESCRIPTION,
QTY SOLD as MONTH,
( select sum(QTY SOLD)
from ITM_SLS
where ITEM = I.ITEM
AND YEAR = i.YEAR
) as YEAR TO DATE
from ITM_SLS I