The following query takes too much time (0.8169sec at the moment) to show 20 entries and i can't find the reason why...
SELECT
`Order`.ID,
Order_Type.Description as OrderTypeDescription,
`Order`.OrderType as OrderType,
DATE_FORMAT(`Order`.InsertDate, '%d.%m.%Y') as OrderInsertDate,
round(sum(Item_Price.Amount),2) as OrderAmount,
c1.ID as buyerCustomerId,
c2.ID as sellerCustomerId,
c1.CompanyName as BuyerCompany,
c2.CompanyName as SellerCompany,
c1.ID as BuyerCustomer,
c2.ID as SellerCustomer
FROM `Order`
INNER JOIN Order_Type ON Order_Type.ID=`Order`.OrderType
INNER JOIN Customer as c1 ON c1.ID=`Order`.BuyerCustomer
INNER JOIN Customer as c2 ON c2.ID=`Order`.SellerCustomer
INNER JOIN Item ON Item.`Order`=`Order`.ID
INNER JOIN Item_Price ON Item_Price.Item=Item.ID
GROUP BY `Order`.ID,OrderType,OrderTypeDescription,buyerCustomerId,sellerCustomerId,BuyerCustomer,SellerCustomer
ORDER BY `Order`.ID DESC
LIMIT 20
EXPLAIN shows the following output: http://pastebin.com/5f9QYizq
I am not really good in optimizing queries, but i think the reason for the bad performance could be the join (and the sum) on the item and the item_price table, because there are aa lot of rows in both tables (item: 16974, item_price: 23981) as each item has one or more item_prices which sum up to order amount.
Any ideas how to make this query faster?
You might try using correlated subqueries instead of group by
:
SELECT o.ID, ot.Description as OrderTypeDescription, ot.OrderType as OrderType,
DATE_FORMAT(o.InsertDate, '%d.%m.%Y') as OrderInsertDate,
(SELECT round(sum(ip.Amount), 2)
FROM Item i INNER JOIN
Item_Price ip
ON ip.Item = i.ID
WHERE i.`Order` = o.ID
) as OrderAmount,
c1.ID as buyerCustomerId,
c2.ID as sellerCustomerId,
c1.CompanyName as BuyerCompany,
c2.CompanyName as SellerCompany,
c1.ID as BuyerCustomer,
c2.ID as SellerCustomer
FROM `Order` o INNER JOIN
Order_Type ot
ON ot.ID = o.OrderType INNER JOIN
Customer c1
ON c1.ID = o.BuyerCustomer INNER JOIN
Customer c2
ON c2.ID = `Order`.SellerCustomer
ORDER BY o.ID DESC
LIMIT 20;
This should save on the GROUP BY
overhead.
You could even move the LIMIT
to a subquery, assuming that the joins are not filtering any rows:
SELECT o.ID, ot.Description as OrderTypeDescription, ot.OrderType as OrderType,
DATE_FORMAT(o.InsertDate, '%d.%m.%Y') as OrderInsertDate,
(SELECT round(sum(ip.Amount), 2)
FROM Item i INNER JOIN
Item_Price ip
ON ip.Item = i.ID
WHERE i.`Order` = o.ID
) as OrderAmount,
c1.ID as buyerCustomerId,
c2.ID as sellerCustomerId,
c1.CompanyName as BuyerCompany,
c2.CompanyName as SellerCompany,
c1.ID as BuyerCustomer,
c2.ID as SellerCustomer
FROM (SELECT o.*
FROM `Order` o
ORDER BY o.id DESC
) o INNER JOIN
Order_Type ot
ON ot.ID = o.OrderType INNER JOIN
Customer c1
ON c1.ID = o.BuyerCustomer INNER JOIN
Customer c2
ON c2.ID = `Order`.SellerCustomer
ORDER BY o.ID DESC
LIMIT 20;
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