I have 2 table that join together ( Orders and Order_item)
When I use join I get duplicates records then I eliminate them with DISTINCT, but when I want to get sum the the shipping_price DISTINCT not works because it just eliminate the same price value and I all my prices are same I get 1 not sum !
If I don't use DISTINCT , I get rows per each items in order
SELECT sum(DISTINCT shipping_price) FROM `product_order`
INNER JOIN `product_address`
ON `product_order`.`address_id` = `product_address`.`id`
INNER JOIN `product_item`
ON `product_order`.`id` = `product_item`.`order_id`
WHERE (`status`<>2)
AND (`company_id`=1968)
AND DATE(date)='2021-08-31'
ORDER BY `product_order`.`id` DESC
how to get sum of shipping price correctly ..
data in order_table is
id shipping_price status
100
200
200
100
sum = 600 , but how to get it, if I did't DISTINCT, I get more than one row per order_items row counts that join tho order..
Use a subquery to get your shipping prices. Something like this:
SELECT product_order.id,
SUM(product_item.price * product_item.quantity) shipping_price
FROM product_order
JOIN product_item ON product_order.id = product_item.order_id
GROUP BY product_order.id
The trick here is to get a subquery that delivers exactly one row per order, with the summed-up shipping priced in it. Do your SUM() ... GROUP BY ...` in the subquery. That way you'll avoid any duplication of items.
TEST THIS before you proceed to make sure it works: giving each order id and its shipping price.
Then use it as if it were a table, JOINing it to the rest.
SELECT total.shipping_price,
product_order.id,
product_address.*
FROM product_order
JOIN product_address
ON product_order.id = product_address.order_id
JOIN (
SELECT product_order.id,
SUM(product_item.price * product_item.quantity) shipping_price
FROM product_order
JOIN product_item ON product_order.id = product_item.order_id
GROUP BY product_order.id
) total ON product_order.id = total.id
ORDER BY product_order.id = total.id
Use a subquery instead of a join.
SELECT (
select sum(shipping_price)
FROM product_item
WHERE po.`id` = `product_item`.`order_id`
) as shipping_price
FROM `product_order` po
INNER JOIN `product_address`
ON `product_order`.`address_id` = `product_address`.`id`
WHERE (`status`<>2)
AND (`company_id`=1968)
AND DATE(date)='2021-08-31'
ORDER BY `product_order`.`id` DESC
I have a mysql query to join four tables and I thought that it was just best to join tables but now that mysql data is getting bigger the query seems to cause the application to stop execution.
SELECT
`purchase_order`.`id`,
`purchase_order`.`po_date` AS po_date,
`purchase_order`.`po_number`,
`purchase_order`.`customer_id` AS customer_id ,
`customer`.`name` AS customer_name,
`purchase_order`.`status` AS po_status,
`purchase_order_items`.`product_id`,
`purchase_order_items`.`po_item_name`,
`product`.`weight` as product_weight,
`product`.`pending` as product_pending,
`product`.`company_owner` as company_owner,
`purchase_order_items`.`uom`,
`purchase_order_items`.`po_item_type`,
`purchase_order_items`.`order_sequence`,
`purchase_order_items`.`pending_balance`,
`purchase_order_items`.`quantity`,
`purchase_order_items`.`notes`,
`purchase_order_items`.`status` AS po_item_status,
`purchase_order_items`.`id` AS po_item_id
FROM `purchase_order`
INNER JOIN customer ON `customer`.`id` = `purchase_order`.`customer_id`
INNER JOIN purchase_order_items ON `purchase_order_items`.`po_id` = `purchase_order`.`id`
INNER JOIN product ON `purchase_order_items`.`product_id` = `product`.`id`
GROUP BY id ORDER BY `purchase_order`.`po_date` DESC LIMIT 0, 20
my problem really is the query that takes a lot of time to finish. Is there a way to speed this query or to change this query for faster retrieval of the data?
heres the EXPLAIN EXTENED as requested in the comments.
Thanks in advance, I really hope this is the right channel for me to ask. If not please let me know.
Will this give you the correct list of ids?
SELECT id
FROM purchase_order
ORDER BY`po_date` DESC
LIMIT 0, 20
If so, then start with that before launching into the JOIN. You can also (I think) get rid of the GROUP BY that is causing an "explode-implode" of rows.
SELECT ...
FROM ( SELECT id ... (as above) ...) AS ids
JOIN purchase_order po ON po.id = ids.id
JOIN ... (the other tables)
GROUP BY ... -- (this may be problematic, especially with the LIMIT)
ORDER BY po.po_date DESC -- yes, this needs repeating
-- no LIMIT
Something like this
SELECT
`purchase_order`.`id`,
`purchase_order`.`po_date` AS po_date,
`purchase_order`.`po_number`,
`purchase_order`.`customer_id` AS customer_id ,
`customer`.`name` AS customer_name,
`purchase_order`.`status` AS po_status,
`purchase_order_items`.`product_id`,
`purchase_order_items`.`po_item_name`,
`product`.`weight` as product_weight,
`product`.`pending` as product_pending,
`product`.`company_owner` as company_owner,
`purchase_order_items`.`uom`,
`purchase_order_items`.`po_item_type`,
`purchase_order_items`.`order_sequence`,
`purchase_order_items`.`pending_balance`,
`purchase_order_items`.`quantity`,
`purchase_order_items`.`notes`,
`purchase_order_items`.`status` AS po_item_status,
`purchase_order_items`.`id` AS po_item_id
FROM (SELECT id, po_date, po_number, customer_id, status
FROM purchase_order
ORDER BY `po_date` DESC
LIMIT 0, 5) as purchase_order
INNER JOIN customer ON `customer`.`id` = `purchase_order`.`customer_id`
INNER JOIN purchase_order_items
ON `purchase_order_items`.`po_id` = `purchase_order`.`id`
INNER JOIN product ON `purchase_order_items`.`product_id` = `product`.`id`
GROUP BY purchase_order.id DESC
LIMIT 0, 5
You need to be sure that purchase_order.po_date and all id column are indexed. You can check it with below query.
SHOW INDEX FROM yourtable;
Since you mentioned that data is getting bigger. I would suggest doing sharding and then you can parallelize multiple queries. Please refer to the following article
Parallel Query for MySQL with Shard-Query
First, I cleaned up readability a bit. You don't need tick marks around every table.column reference. Also, for short-hand, using aliases works well. Ex: "po" instead of "purchase_order", "poi" instead of "purchase_order_items". The only time I would use tick marks is around reserved words that might cause a problem.
Second, you don't have any aggregations (sum, min, max, count, avg, etc.) in your query so you should be able to strip the GROUP BY clause.
As for indexes, I would have to assume you have an index on your reference tables on their respective "id" key columns.
For your Purchase Order table, I would have an index on that based on the "po_date" in the first index field position in case you already had an index using it. Since your Order by is on that, let the engine jump directly to those dated records first and you have your descending order resolved.
SELECT
po.id,
po.po_date,
po.po_number,
po.customer_id,
c.`name` AS customer_name,
po.`status` AS po_status,
poi.product_id,
poi.po_item_name,
p.weight as product_weight,
p.pending as product_pending,
p.company_owner,
poi.uom,
poi.po_item_type,
poi.order_sequence,
poi.pending_balance,
poi.quantity,
poi.notes,
poi.`status` AS po_item_status,
poi.id AS po_item_id
FROM
purchase_order po
INNER JOIN customer c
ON po.customer_id = c.id
INNER JOIN purchase_order_items poi
ON po.id = poi.po_id
INNER JOIN product p
ON poi.product_id = p.id
ORDER BY
po.po_date DESC
LIMIT
0, 20
I am attempting to create a subquery in Access but I am receiving an error stating that one record can be returned by this subquery. I am wanting to find the top 10 companies that have the most pets then I want to know the name of those pets. I have never created a subquery before so I am not sure where I am going wrong. Here is what I have:
SELECT TOP 10 dbo_tGovenrnmentRegulatoryAgency.GovernmentRegulatoryAgency
(SELECT dbo_tPet.Pet
FROM dbo_tPet)
FROM dbo_tPet INNER JOIN dbo_tGovenrnmentRegulatoryAgency ON
dbo_tPet.GovernmentRegulatoryAgencyID =
dbo_tGovenrnmentRegulatoryAgency.GovernmentRegulatoryAgencyID
GROUP BY dbo_tGovenrnmentRegulatoryAgency.GovernmentRegulatoryAgency
ORDER BY Count(dbo_tPet.PetID) DESC;
Consider this solution, requiring a subquery in the WHERE IN () clause:
SELECT t1.GovernmentRegulatoryAgency, dbo_tPet.Pet,
FROM dbo_tPet
INNER JOIN dbo_tGovenrnmentRegulatoryAgency t1 ON
dbo_tPet.GovernmentRegulatoryAgencyID = t1.GovernmentRegulatoryAgencyID
WHERE t1.GovernmentRegulatoryAgency IN
(SELECT TOP 10 t2.GovernmentRegulatoryAgency
FROM dbo_tPet
INNER JOIN dbo_tGovenrnmentRegulatoryAgency t2 ON
dbo_tPet.GovernmentRegulatoryAgencyID = t2.GovernmentRegulatoryAgencyID
GROUP BY t2.GovernmentRegulatoryAgency
ORDER BY Count(dbo_tPet.Pet) DESC);
Table aliases are not needed but I include them for demonstration.
This should hopefully do it:
SELECT a.GovernmentRegulatoryAgency, t.NumOfPets
FROM dbo_tGovenrnmentRegulatoryAgency a
INNER JOIN (
SELECT TOP 10 p.GovernmentRegulatoryAgencyID, COUNT(p.PetID) AS NumOfPets
FROM dbo_tPet p
GROUP BY p.GovernmentRegulatoryAgencyID
ORDER BY COUNT(p.PetID) DESC
) t
ON a.GovernmentRegulatoryAgencyID = t.GovernmentRegulatoryAgencyID
In a nutshell, first get the nested query sorted, identifying what the relevant agencies are, then inner join back to the agency table to get the detail of the agencies so picked.
I have a table called
tb_applicants with fields id, aic, name
app_interview with fields id, atic, atname
My problem is i want to count all (atic) from app_interview table where atic is equal to aic from table (tb_applicants) group by 1(aic) from tb_applicants
In my current query its not working can anyone help me find where is the problem it gives me 0 count all the time.
query:
SELECT count(t.atic)
FROM app_interview as t
INNER JOIN tb_applicants as t2
WHERE t.atic = t2.aic
GROUP BY t2.aic;
Remove the ; and use ON for JOINS:
SELECT count(*) FROM app_interview INNER JOIN tb_applicants ON tb_applicants.aic = app_interview.atic GROUP BY tb_applicants.aic;
Could probably done simpler, since you need only matching rows:
SELECT count(t.atic)
FROM app_interview as t, tb_applicants as t2
WHERE t.atic = t2.aic
GROUP BY t.atic;
I'm running the following query to get the open positions on a portfolio:
SELECT SUM(trades.quantity) as total_quantity, SUM(trades.price) as total_cost, SUM(trades.price)/SUM(trades.quantity) as cost_per_share,
trades.ticker, tickers.code
FROM (trades)
LEFT JOIN tickers
ON trades.ticker = tickers.id
GROUP BY tickers.code
HAVING total_quantity > 0
ORDER BY tickers.code
I'd like to add an extra column to show the weightening of a position, i.e.:
total_cost/SUM(total_cost) -- Dividing any given position cost by the total cost of the portfolio
Since aliases cannot be used in calculations, I thought I'd need to use a sub-query. I've tried a few things but couldn't make it to work.
Can anyone shed some light on this? Is sub-query the way to go? Is there any other better way to do it?
Not sure on your query (you appear to be doing a GROUP BY on a field from a LEFT JOINed table, which could be null for non found matching rows), but maybe cross join to a subselect to get the total of all prices
SELECT total_quantity, total_cost, cost_per_share, trades.ticker, tickers.code, total_cost/total_of_prices
FROM
(
SELECT SUM(trades.quantity) as total_quantity, SUM(trades.price) as total_cost, SUM(trades.price)/SUM(trades.quantity) as cost_per_share,
trades.ticker, tickers.code
FROM trades
LEFT JOIN tickers
ON trades.ticker = tickers.id
GROUP BY tickers.code
HAVING total_quantity > 0
) Sub1
CROSS JOIN
(
SELECT SUM(price) as total_of_prices
FROM trades
WHERE quantity > 0
) Sub2
ORDER BY tickers.code