I want to get sales result for 10 days for each product which is in my orders_summary table. Currently I'm joining orders_summary table 10 times to get sales for each day. Is there any better way to get this data?
Current sql:
SELECT P.ID,
P.SKU,
FIRST_DAY.ITEMS AS ITEMS_1,
FIRST_DAY.ORDERS AS ORDERS_1,
SECOND_DAY.ITEMS AS ITEMS_2,
SECOND_DAY.ORDERS AS ORDERS_2
FROM PRODUCTS AS P
LEFT JOIN
(SELECT SKU,
AMOUNT AS ITEMS,
ARRAY_LENGTH(LIST,
1) AS ORDERS
FROM ORDERS_SUMMARY
WHERE ORDER_DATE = TO_TIMESTAMP(1633158000000 / 1000.0)) AS FIRST_DAY ON P.SKU = FIRST_DAY.SKU
LEFT JOIN
(SELECT SKU,
AMOUNT AS ITEMS,
ARRAY_LENGTH(LIST,
1) AS ORDERS
FROM ORDERS_SUMMARY
WHERE ORDER_DATE = TO_TIMESTAMP(1633676400000 / 1000.0)) AS SECOND_DAY ON P.SKU = SECOND_DAY.SKU
...
result:
select main.sku, jsonb_populate_record(null::examples.table_fields, main.json_data)
from
(
select t2.sku, jsonb_object_agg(t2.itemNames, t2.items) || jsonb_object_agg(t2.orderNames, t2.orders) as json_data from
(
select
pr.sku,
'items' || tbl_dates.num::varchar as itemNames,
coalesce(sum(sOrd.amount), 0) as items,
'orders' || tbl_dates.num::varchar as orderNames,
coalesce(sum(sOrd.qty), 0) as orders
-- tbl_dates.dates
from products pr
inner join (
select tt.num, ('2021-01-01'::date + tt.num - 1) as dates
from (
select t.num from generate_series(1, 10, 1) AS t(num)
) tt
) tbl_dates on true
left join orders_summary sOrd on sOrd.sku = pr.sku and sOrd.order_date::date = tbl_dates.dates
group by pr.sku, tbl_dates.num, tbl_dates.dates
order by tbl_dates.num
) t2
group by t2.sku
) main;
I wrote simple select query, if you want to use a function then you can change this is '2021-01-01'::date to input variable and in this code generate_series(1, 10, 1) you can change 10 to the input variable
Related
I'm using SQL Server 2014 and I have a problem with a query.
I want to have in my report, ALL the items of the order with ID_Order = 9 that have been delivered. And for the items that have been delivered at two times (Item Code = Art3 for example), I just want to have the last row, that means the last delivery of this Item, with NO repetition.
I already tried these two queries without success:
Attempt #1: DISTINCT
SELECT DISTINCT
Order.ItemCode, Delivery. Qty, Delivery.ID_Delivery,
Order.ID_Order
FROM
Delivery
INNER JOIN
Order ON Order.ID_Order = Delivery.ID_Order
WHERE
Order.ID_Order = '9'
Attempt #2: subquery
SELECT *
FROM
(SELECT
Order.ItemCode, Delivery.Qty,
FROM
Delivery
INNER JOIN
Order ON Order.ID_Order = Delivery.ID_Order
WHERE
Order.ID_Order = '9')
GROUP BY
a.ItemCode, a.Qty
Try this query --
;WITH CTE
AS (
SELECT C.ID_Order
,D.ID_Delivery
,C.ItemCode
,C.Quantity
,ROW_NUMBER() OVER (
PARTITION BY C.ItemCode ORDER BY D.ID_Delivery DESC
) AS RowNum
FROM Customer_Order C
INNER JOIN Delivery D ON C.ID_Order = D.ID_Order
AND C.ItemCode = D.ItemCode
WHERE C.ID_Order = 9
)
SELECT ID_Order
,ID_Delivery
,ItemCode
,Quantity
FROM CTE
WHERE RowNum = 1
SELECT
Order.ItemCode, Delivery. Qty, Delivery.ID_Delivery,
Order.ID_Order
FROM
Delivery
INNER JOIN
Order ON Order.ID_Order = Delivery.ID_Order
WHERE
Order.ID_Order = '9'
AND Delivery.ID_Delivery IN
(
SELECT MAX(ID_Delivery) FROM Delivery D WHERE D.ID_Order = Delivery.ID_Order GROUP BY D.ID_Order
)
I hope it will work for you.
I am really stuck on a problem and could use a little help. Here is the problem statement:
"Write the query that will show all the customers, the total of all orders, a count of orders made, the average total of each order, average number of items per order (with decimal points), the largest order total and the smallest order total for each customer. Show every customer even if a customer didn't make an order."
These are the tables:
the lovely tables
I've gotten this far, and I'm hung up on the max order total. I was thinking of a subquery for the highest and lowest order totals but I can't make it work.
SELECT
TC.intCustomerID
,TC.strLastName + ',' + ' ' + TC.strFirstName AS strCustomerName
,ISNULL(SUM( TCOI.intQuantity * TI.monPrice), 0) AS monOrderTotals
,COUNT(DISTINCT TCO.intOrderIndex) AS intNumberOfOrders
,ISNULL(SUM(TCOI.intQuantity * TI.monPrice) / COUNT(DISTINCT TCO.intOrderIndex), 0) AS monAverageOrderTotals
,(SELECT MAX(TCOI.intQuantity * TI.monPrice)
FROM TItems AS TI, TCustomerOrderItems AS TCOI
WHERE TI.intItemID = TCOI.intItemID
-- Cross-query join with two columns
-- AND TC.intCustomerID = TCOI.intCustomerID
-- AND TCO.intOrderIndex = TCOI.intOrderIndex
----GROUP BY
-- TCOI.intCustomerID
--,TCOI.intOrderIndex
) AS monMostExpensiveOrder
FROM
TCustomers AS TC
LEFT OUTER JOIN
TCustomerOrders AS TCO ON (TC.intCustomerID = TCO.intCustomerID)
LEFT OUTER JOIN
TCustomerOrderItems AS TCOI ON (TCO.intOrderIndex = TCOI.intOrderIndex)
LEFT OUTER JOIN
TItems AS TI ON (TCOI.intItemID = TI.intItemID)
GROUP BY
TC.intCustomerID
,TC.strLastName
,TC.strFirstName
Any insight would be greatly appreciated.
For me, using a common table expression goes a long way towards making code easier to read and write when you are working with derived tables (selecting from subqueries).
I think this should cover what you are trying to do, but I was not sure which way you wanted to count average items per order (by number of distinct items or the quantity of items):
with cte as (
select
tc.intCustomerId
, tc.strFirstName
, tc.strLastName
, tcoi.intOrderIndex
, TotalPrice = isnull(sum(tcoi.intQuantity * ti.monPrice), 0 )
, ItemCount = count(*)
, TotalItemQuantity = sum(tcoi.intQuantity)
from TCustomers tc
left join tCustomerOrderItems as tcoi
on tc.intCustomerId = tcoi.intCustomerId
left join tItems as ti
on ti.intItemID = tcoi.intItemID
)
select
intCustomerId
, Name = isnull(strLastName+', ') + isnull(strFirstName,'')
, countOrders = count(intOrderIndex)
, sumTotalPrice = sum(TotalPrice)
, minTotalPrice = min(TotalPrice)
, maxTotalPrice = max(TotalPrice)
, avgTotalPrice = avg(TotalPrice)
, avgItemCount = (sum(ItemCount)+.0)/nullif(count(intOrderIndex),0)
, avgItemQuant = (sum(TotalItemQuantity)+.0)/nullif(count(intOrderIndex),0)
from cte
group by
intCustomerId
, strFirstName
, strLastName
To take out the cte part, you would just move the query into the from.
select
intCustomerId
, Name = isnull(strLastName+', ') + isnull(strFirstName,'')
, countOrders = count(intOrderIndex)
, sumTotalPrice = sum(TotalPrice)
, minTotalPrice = min(TotalPrice)
, maxTotalPrice = max(TotalPrice)
, avgTotalPrice = avg(TotalPrice)
, avgItemCount = (sum(ItemCount)+.0)/nullif(count(intOrderIndex),0)
, avgItemQuant = (sum(TotalItemQuantity)+.0)/nullif(count(intOrderIndex),0)
from (
select
tc.intCustomerId
, tc.strFirstName
, tc.strLastName
, tcoi.intOrderIndex
, TotalPrice = isnull(sum(tcoi.intQuantity * ti.monPrice), 0 )
, ItemCount = count(*)
, TotalItemQuantity = sum(tcoi.intQuantity)
from TCustomers tc
left join tCustomerOrderItems as tcoi
on tc.intCustomerId = tcoi.intCustomerId
left join tItems as ti
on ti.intItemID = tcoi.intItemID
) as cte
group by
intCustomerId
, strFirstName
, strLastName
You will first need to calculate totals per order and per customer.
I will say that the schema is deficient in not storing order totals, since item price is likely to change, and TCustomerOrders likely includes historical orders. Prefixing tables and column names is also not recommended.
WITH CustomerOrders AS
(
SELECT
oi.intCustomerID as CustomerID,
oi.intOrderIndex as OrderID,
SUM(oi.intQuantity * i.monPrice) as SalesAmount,
COUNT(DISTINCT oi.intItemID) as DistinctItemCount,
SUM(oi.intQuantity) as ItemCount
FROM TCustomerOrderItems as oi
INNER JOIN TItems as i on oi.intItemID = i.intItemID
GROUP BY oi.intCustomerID, oi.intOrderIndex
),
CustomerSales AS
(
SELECT
co.CustomerID,
SUM(co.SalesAmount) as TotalSalesAmount,
COUNT(*) as OrderCount,
AVG(co.SalesAmount) as AvgOrderSalesAmount,
-- If item count should be distinct SKU's, use DistinctItemCount
-- Cast to numeric or another non-integer type to get fractional averages
AVG(CAST(co.ItemCount as numeric(14,4)) as AvgItemCount,
MIN(co.SalesAmount) as SmallestOrderSalesAmount,
MAX(co.SalesAmount) as LargestOrderSalesAmount
FROM CustomerOrders co
GROUP BY co.CustomerID
)
SELECT
c.intCustomerID as CustomerID,
c.strFirstName as CustomerFirstName,
c.strLastName as CustomerLastName,
COALESCE(cs.TotalSalesAmount, 0) as TotalSalesAmount,
COALESCE(cs.OrderCount, 0) as OrderCount,
COALESCE(cs.AvgOrderSalesAmount, 0) as AvgOrderSalesAmount,
COALESCE(cs.AvgItemCount, 0) as AvgItemCount,
COALESCE(cs.SmallestOrderSalesAmount, 0) as SmallestOrderSalesAmount,
COALESCE(cs.LargestOrderSalesAmount, 0) as LargestOrderSalesAmount
FROM TCustomers c
LEFT OUTER JOIN CustomerSales cs on c.intCustomerID = cs.CustomerID;
I have a query with 5 columns. I want to add 1 column that defines the number of times the value in column 2 (ItemCode) occurs in the results.
This is my query:
SELECT
Items.Description_0 AS [Items.Description],
Items.ItemCode,
warehouse_location,
Stock.Quantity AS StockQty,
Stock.warehouse
FROM
((SELECT gbkmut.artcode, gbkmut.warehouse, ISNULL(gbkmut.warehouse_location,'') AS warehouse_location,
SUM(gbkmut.aantal) AS Quantity FROM gbkmut
INNER JOIN Items ON Items.ItemCode = gbkmut.artcode
INNER JOIN voorrd ON voorrd.artcode=gbkmut.artcode
AND voorrd.magcode=gbkmut.warehouse
INNER JOIN ItemUnits ON ItemUnits.Unit = Items.PackageDescription
WHERE gbkmut.reknr = Items.GLAccountDistribution
AND (( gbkmut.transtype IN ('N', 'C', 'P', 'X')
AND gbkmut.datum BETWEEN {d '2000-01-09'} AND {d '2031-02-08'} ) )
AND (gbkmut.warehouse='MAG1' )
AND Items.Type IN ('S','B')
AND NOT (Items.GLAccountAsset IS NOT NULL AND Items.IsSerialNumberItem=1) AND NOT (Items.Type = 'S' AND ItemUnits.UnitType = 'T')
GROUP BY gbkmut.artcode, gbkmut.warehouse, ISNULL(gbkmut.warehouse_location,'')
HAVING SUM(gbkmut.aantal) > 0)) Stock
INNER JOIN Items ON Items.ItemCode=Stock.artcode
WHERE Items.ItemCode like '10.27021%'
ORDER BY Items.ItemCode
Lazy version, use a common table expression (cte):
with cte as
(
[your huge select]
)
select t1.*, t2.codecount
from cte t1
join (select ItemCode, count(*) as codecount from cte group by ItemCode) as t2
ON t2.ItemCode = t1.ItemCode
SELECT p.Distributor,
SUM(r.SalesVolume) AS Sales,
CAST(( ( CAST(SUM(r.SalesVolume) AS DECIMAL(14, 4)) / (SELECT SUM(r.SalesVolume)
FROM RawData r
INNER JOIN Product p
ON r.ProductId = p.ProductId
WHERE p.Distributor IN( 'TF1', 'WARNER', 'GAUMONT', 'PATHE',
'STUDIOCANAL', 'M6SND', 'FRANCETV' )
AND p.VODEST IN ( 'EST' )
AND p.ContentFlavor IN ( 'HD' )) ) * 100 ) AS DECIMAL(20, 2)) AS MarketSharesVolume
FROM RawData r
INNER JOIN Product p
ON r.ProductId = p.ProductId
WHERE p.Distributor IN ( 'TF1', 'WARNER', 'GAUMONT', 'PATHE',
'STUDIOCANAL', 'M6SND', 'FRANCETV' )
AND p.VODEST IN ( 'EST' )
AND p.ContentFlavor IN ( 'HD' )
GROUP BY p.Distributor;
The above query doesnt look beautiful for sure. Basically if you notice the WHERE conditions in the sub query and the main query are similar. Is there a way I can combine them to reduce the size of this query. Also are there any other place where I could probably try and reduce the size of this query?
Looking for suggestions.
You can use SUM ... OVER() on the SUM to count up the grand total.
SELECT p.Distributor,
SUM(r.SalesVolume) AS Sales,
CAST(( ( CAST(SUM(r.SalesVolume) AS DECIMAL(14, 4)) / SUM(SUM(r.SalesVolume))
OVER() ) * 100 ) AS DECIMAL(20, 2)) AS MarketSharesVolume
FROM RawData r
INNER JOIN Product p
ON r.ProductId = p.ProductId
WHERE p.Distributor IN ( 'TF1', 'WARNER', 'GAUMONT', 'PATHE',
'STUDIOCANAL', 'M6SND', 'FRANCETV' )
AND p.VODEST IN ( 'EST' )
AND p.ContentFlavor IN ( 'HD' )
GROUP BY p.Distributor;
I have to create an association between 2 products, which has unique product_ids and insert them into an already constructed table. The association is created based on unique part number these product ids have. For instance:
Product_id = 7578711
Part Number = 0101-2478
Product Id = 7957948
Part Number = 0101-2478
Product Id = 10558140
Part Number = 0101-2478
and my current table has the following columns:
ID (int) identity (1, 1)
product_id
date
guid
where data is in the form of:
1, 7578711, 12345, 2010-08-24 04:29:04.000,00286AFB-3880-4085-BAA0-DBCC0D59A391
I have a query which has the ability to roll Product_id to part number level and then a query to roll the part number to product_id level.
Based on the above data, where they have same part number, i want to create an association and generate insert statements which will add 2 records in the form of:
2, 7957948, 12345, 2010-08-24 04:29:04.000,00286AFB-3880-4085-BAA0-DBCC0D59A391
3, 10558140, 12345, 2010-08-24 04:29:04.000,00286AFB-3880-4085-BAA0-DBCC0D59A391
There are going to be many product IDs in that table. The above one is just an example:
I have 2 Common Table Expressions: 1 rolls the product Id to part number level, and another rolls back the part number to multiple product Ids. I am trying to avoid a cursor.
Could anyone here help me with this problem?
My 2 CTEs as as follows:
;WITH cte (product_id, item_number)
AS
(
SELECT DISTINCT --TOP 1000
pds.product_id
--,pd.productOwner_id
, i.item_number
FROM SurfwatcherEndeavorStats.dbo.productDetailBySite pds WITH ( NOLOCK )
INNER JOIN ProductData.dbo.productDimensions pd with ( NOLOCK ) ON pds.product_id = pd.product_id
INNER JOIN ProductData.dbo.options o with ( NOLOCK ) ON pds.product_id = o.product_id
INNER JOIN ProductData.dbo.items i with ( NOLOCK ) ON o.option_id = i.item_id
WHERE pds.productDetail_date > DATEADD(yyyy, -1, GETDATE())
AND i.item_number IS NOT NULL
--AND i.item_number = '0101-3258'
)
SELECT TOP 1 item_number
FROM cte WITH (NOLOCK)
WHERE product_id = 7957948
;WITH cte1 (product_id, item_number)
AS
(
SELECT DISTINCT --TOP 1000
pds.product_id
--,pd.productOwner_id
, i.item_number
FROM SurfwatcherEndeavorStats.dbo.productDetailBySite pds WITH ( NOLOCK )
INNER JOIN ProductData.dbo.productDimensions pd with ( NOLOCK ) ON pds.product_id = pd.product_id
INNER JOIN ProductData.dbo.options o with ( NOLOCK ) ON pds.product_id = o.product_id
INNER JOIN ProductData.dbo.items i with ( NOLOCK ) ON o.option_id = i.item_id
WHERE pds.productDetail_date > DATEADD(yyyy, -1, GETDATE())
AND i.item_number IS NOT NULL
)
SELECT product_id
FROM cte1 WITH (NOLOCK)
WHERE item_number = '0101-2478'
try this Sql. it should give you a complete list of all associations between two products that both use the same part number... Is that what you want ?
Select Distinct A.Product_Id, B.Product_ID
From YourTable A
Join YourTable B
On B.PartNumber = A.PartNumber
And B.Product_Id > A.Product_Id