Query:
SELECT business.bussId,
(select count(invoices.userId) from invoice where invoice.userId = '3000' )
as invoiceCount,
(select SUM(invoices.price) from invoice where invoice.userId = '3000' )
as invoiceprice ,
FROM business WHERE business.bussId=100
How could I get invoice price and invoiceCount using one nested select ?
Move the subquery to the from clause:
SELECT b.bussId, i.invoiceCount, i.invoiceprice
FROM business b cross join
(select count(i.userId) as invoiceCount, SUM(i.price) as invoiceprice
from invoice i
where i.userId = '3000'
) i
WHERE b.bussId = 100;
You can actually write this without the subquery, but your question is specifically about using subqueries.
That form would be:
SELECT b.bussId, count(i.userId) as invoiceCount, SUM(i.price) as invoiceprice
FROM business b left join
invoice i
on i.userId = '3000' and b.bussId = 100
GROUP BY b.bussId;
Related
I need have created a select statement to list out all the customers that have been to multiple merchants below.
I want to create another statement to display how many of those customers have been to each merchant.
What is the optimal method of approaching this problem?
Lists out all customers that have been to multiple merchants.
WITH valentinesDayMerchant AS (
SELECT m.MerchantId, m.MerchantGroupId, m.WebsiteName
FROM Merchant m
INNER JOIN OpeningHours oh ON m.MerchantId = oh.MerchantId AND oh.DayOfWeek = 'TUE'
LEFT JOIN devices.DeviceConnectionState AS dcs ON dcs.MerchantId = oh.MerchantId
WHERE MerchantStatus = '-' AND (m.PrinterType IN ('V','O') OR dcs.State = 1 OR dcs.StateTransitionDateTime > '2023-01-23')
)
SELECT DISTINCT ul.UserLoginId, ul.FullName, ul.EmailAddress, ul.Mobile
FROM dbo.UserLogin AS ul
INNER JOIN dbo.Patron AS p ON p.UserLoginId = ul.UserLoginId
INNER JOIN valentinesDayMerchant AS m ON (m.MerchantId = ul.ReferringMerchantId OR m.MerchantId IN (SELECT pml.MerchantId FROM dbo.PatronMerchantLink AS pml WHERE pml.PatronId = p.PatronId AND ISNULL(pml.IsBanned, 0) = 0))
LEFT JOIN (
SELECT mg.MerchantGroupId, mg.MerchantGroupName, groupHost.HostName [GroupHostName]
FROM dbo.MerchantGroup AS mg
INNER JOIN dbo.Merchant AS parent ON parent.MerchantId = mg.ParentMerchantId
INNER JOIN dbo.HttpHostName AS groupHost ON groupHost.MerchantID = parent.MerchantId AND groupHost.Priority = 0
) mGroup ON mGroup.MerchantGroupId = m.MerchantGroupId
LEFT JOIN (
SELECT po.PatronId, MAX(po.OrderDateTime) [LastOrder]
FROM dbo.PatronsOrder AS po
GROUP BY po.PatronId
) orders ON orders.PatronId = p.PatronId
INNER JOIN dbo.HttpHostName AS hhn ON hhn.MerchantID = m.MerchantId AND hhn.Priority = 1
WHERE ul.UserLoginId NOT IN (1,2,100,372) AND ul.UserStatus <> 'D' AND (
ISNULL(orders.LastOrder, '2000-01-01') > '2020-01-01' OR ul.RegistrationDate > '2022-01-01'
)
GROUP BY ul.UserLoginId, ul.FullName, ul.EmailAddress, ul.Mobile
HAVING COUNT(m.MerchantId) > 1
Methods I have tried include adding the merchant name to a group by and displaying the count of the customers, however this does not work as I cannot have anything related to the Merchant in the GROUP BY, or I wouldn't be able to use HAVING clause to identify the customers that have been to multiple merchants. I have also tried selecting all the merchants and counting the distinct customers which doesn't work as it takes into account all the customers, not specifically the customers that have been to multiple merchants only.
Hi I am trying to query a table that conatains multiple duplicates on Code,Amount and Status How will I do this if I only one to get a result group according to the client_group name and get the sum of amount under that group
SELECT `client`.`client_group`
, FORMAT(SUM(`Data_result`.`Data_result_amount` ),2) as sum
FROM
`qwer`.`Data_result`
INNER JOIN `qwer`.`Data`
ON (`Data_result`.`Data_result_lead` = `Data`.`Data_id`)
INNER JOIN `qwer`.`Data_status`
ON (`Data_result`.`Data_result_status_id` = `Data_status`.`Data_status_id`)
INNER JOIN `qwer`.`client`
ON (`Data`.`Data_client_id` = `client`.`client_id`)
WHERE `Data_status`.`Data_status_name` IN ('PAID') AND MONTH(`Data_result`.`result_ts`) = MONTH(CURRENT_DATE())
AND YEAR(`Data_result`.`result_ts`) = YEAR(CURRENT_DATE())
GROUP BY `client`.`client_group`
Result of said query:
Table
Try to distinct before run the 'sum' check whether this solve your problem
SELECT `client_group` , FORMAT(SUM(`Data_result_amount` ),2) as sum from (
SELECT DISTINCT `client`.`client_group` , `Data_result`.`Data_result_amount`
FROM
`qwer`.`Data_result`
INNER JOIN `qwer`.`Data`
ON (`Data_result`.`Data_result_lead` = `Data`.`Data_id`)
INNER JOIN `qwer`.`Data_status`
ON (`Data_result`.`Data_result_status_id` = `Data_status`.`Data_status_id`)
INNER JOIN `qwer`.`client`
ON (`Data`.`Data_client_id` = `client`.`client_id`)
WHERE `Data_status`.`Data_status_name` IN ('PAID') AND MONTH(`Data_result`.`result_ts`) = MONTH(CURRENT_DATE())
AND YEAR(`Data_result`.`result_ts`) = YEAR(CURRENT_DATE())
) T
GROUP BY `client_group`
you can check the query here http://sqlfiddle.com/#!9/36a3f8/6
For example have such structure:
CREATE TABLE clicks
(`date` varchar(50), `sum` int, `id` int)
;
CREATE TABLE marks
(`click_id` int, `name` varchar(50), `value` varchar(50))
;
where click can have many marks
So example data:
INSERT INTO clicks
(`sum`, `id`, `date`)
VALUES
(100, 1, '2017-01-01'),
(200, 2, '2017-01-01')
;
INSERT INTO marks
(`click_id`, `name`, `value`)
VALUES
(1, 'utm_source', 'test_source1'),
(1, 'utm_medium', 'test_medium1'),
(1, 'utm_term', 'test_term1'),
(2, 'utm_source', 'test_source1'),
(2, 'utm_medium', 'test_medium1')
;
I need to get agregated values of click grouped by date which contains all of selected values.
I make request:
select
c.date,
sum(c.sum)
from clicks as c
left join marks as m ON m.click_id = c.id
where
(m.name = 'utm_source' AND m.value='test_source1') OR
(m.name = 'utm_medium' AND m.value='test_medium1') OR
(m.name = 'utm_term' AND m.value='test_term1')
group by date
and get 2017-01-01 = 700, but I want to get 100 which means that only click 1 has all of marks.
Or if condition will be
(m.name = 'utm_source' AND m.value='test_source1') OR
(m.name = 'utm_medium' AND m.value='test_medium1')
I need to get 300 instead of 600
I found answer in getting distinct click_id by first query and then sum and group by date with condition whereIn, but on real database which is very large and has id as uuid this request executes extrimely slow. Any advices how to get it work propely?
You can achieve it using below queries:
When there are the three conditions then you have to pass the HAVING count(*) >= 3
SELECT cc.DATE
,sum(cc.sum)
FROM clicks AS cc
INNER JOIN (
SELECT id
FROM clicks AS c
LEFT JOIN marks AS m ON m.click_id = c.id
WHERE (
m.NAME = 'utm_source'
AND m.value = 'test_source1'
)
OR (
m.NAME = 'utm_medium'
AND m.value = 'test_medium1'
)
OR (
m.NAME = 'utm_term'
AND m.value = 'test_term1'
)
GROUP BY id
HAVING count(*) >= 3
) AS t ON cc.id = t.id
GROUP BY cc.DATE
When there are the three conditions then you have to pass the HAVING count(*) >= 2
SELECT cc.DATE
,sum(cc.sum)
FROM clicks AS cc
INNER JOIN (
SELECT id
FROM clicks AS c
LEFT JOIN marks AS m ON m.click_id = c.id
WHERE (
m.NAME = 'utm_source'
AND m.value = 'test_source1'
)
OR (
m.NAME = 'utm_medium'
AND m.value = 'test_medium1'
)
GROUP BY id
HAVING count(*) >= 2
) AS t ON cc.id = t.id
GROUP BY cc.DATE
Demo: http://sqlfiddle.com/#!9/fe571a/35
Hope this works for you...
You're getting 700 because the join generates multiple rows for the different IDs. There are 3 rows in the mark table with ID=1 and sum=100 and there are two rows with ID=2 and sum=200. On doing the join where shall have 3 rows with sum=100 and 2 rows with sum=200, so adding these sum gives 700. To fix this you have to aggregate on the click_id too as illustrated below:
select
c.date,
sum(c.sum)
from clicks as c
inner join (select * from marks where (name = 'utm_source' AND
value='test_source1') OR (name = 'utm_medium' AND value='test_medium1')
OR (name = 'utm_term' AND value='test_term1')
group by click_id) as m
ON m.click_id = c.id
group by c.date;
DEMO SQL FIDDLE
I found the right way myself, which works on large amounts of data
The main goal is to make request generate one table with subqueries(conditions) which do not depend on amount of data in results, so the best way is:
select
c.date,
sum(c.sum)
from clicks as c
join marks as m1 ON m1.click_id = c.id
join marks as m2 ON m2.click_id = c.id
join marks as m3 ON m3.click_id = c.id
where
(m1.name = 'utm_source' AND m1.value='test_source1') AND
(m2.name = 'utm_medium' AND m2.value='test_medium1') AND
(m3.name = 'utm_term' AND m3.value='test_term1')
group by date
So we need to make as many joins as many conditions we have
another annoying student here!
Today I spend hours trying to combine (select) 2 already joined SQL outputs + the ID of the original table in a single table output. which ultimately resulted in this query:
SELECT * FROM(
SELECT fd1.User_idUser,avg(fd1.caloryIntake)
AS 'workdays'
FROM fact_dailysnapshot fd1
INNER JOIN dim_day dd1 ON dd1.DATE_SK = fd1.DATE_SK
WHERE dd1.weekend_ind = 'N'
GROUP BY fd1.User_idUser
ORDER BY fd1.User_idUser) A,
(SELECT avg(fd1.caloryIntake) AS 'weekend'
FROM fact_dailysnapshot fd1
INNER
JOIN dim_day dd1 ON dd1.DATE_SK = fd1.DATE_SK
WHERE dd1.weekend_ind = 'Y'
GROUP BY fd1.User_idUser
ORDER BY fd1.User_idUser) B;
Which translates into…
Now this is a false result, the second column gives an almost constant value for all user entries. I think this must be solved with some kind of EXTRA join but I literally ran out of ideas. Thanks in advance..!
Your JOIN is missing an ON clause to relate dUser_idUser.
But, the simplest way to write the query uses conditional aggregation:
SELECT fd1.User_idUser,
avg(case when dd1.weekend_ind = 'N' then fd1.caloryIntake end) as weekday_avg,
avg(case when dd1.weekend_ind = 'Y' then fd1.caloryIntake end) as weekend_avg
FROM fact_dailysnapshot fd1 INNER JOIN
dim_day dd1
ON dd1.DATE_SK = fd1.DATE_SK
GROUP BY fd1.User_idUser
ORDER BY fd1.User_idUser;
This is one query instead of two.
If I understand correctly, this is what you are looking for:
SELECT A.User_idUser, A.workdays, B.weekend
FROM (
SELECT fd1.User_idUser, avg(fd1.caloryIntake) AS 'workdays'
FROM fact_dailysnapshot fd1
INNER JOIN dim_day dd1
ON dd1.DATE_SK = fd1.DATE_SK
WHERE dd1.weekend_ind = 'N'
GROUP BY fd1.User_idUser
ORDER BY fd1.User_idUser) A
JOIN
(SELECT fd1.User_idUser, avg(fd1.caloryIntake) AS 'weekend'
FROM fact_dailysnapshot fd1
INNER JOIN dim_day dd1
ON dd1.DATE_SK = fd1.DATE_SK
WHERE dd1.weekend_ind = 'Y'
GROUP BY fd1.User_idUser
ORDER BY fd1.User_idUser) B
ON A.User_idUser = B.User_idUser
Each query gives you all users by ID and their workdays or weekends. You need to JOIN the results of the two query on the user ID.
One product ID has many prices. I'm trying to find the prices that are likely incorrect by comparing each price with the median price of the product. Currently I have min and max in the output and would like to add a single column for each product's median price. I have tried avg() but this returns: Invalid input syntax for type numeric. Any ideas?
select
distinct dp.product_id,
pc.warehouse_id as retailer_id,
pc.code,
dp.product_name,
dp.product_brand_name,
dp.product_size,
dp.product_unit_count,
pd.product_name as retailer_name,
pd.brand_name as retailer_brand_name,
pd.size as retailer_size,
pd.price,
sp.max_cost,
sp.min_cost
from dim_product as dp
join product_codes as pc on pc.product_id = dp.product_id and pc.deleted_ind = 'N'
join suspect_products as sp on sp.product_id = dp.product_id
left join (
select
nvl(json_extract_path_text(rf."raw",'brand_name'),dei.brand_name) as brand_name,
nvl(json_extract_path_text(rf."raw",'name'),dei.name) as product_name,
nvl(json_extract_path_text(rf."raw",'size'), dei.size) as size,
nvl(json_extract_path_text(rf."raw",'cost_price_per_unit'),dei.cost_price_per_unit::VARCHAR) as price,
nvl(rf.code,dei.lookup_code) as code,
nvl(rf.retailer_id,dei.warehouse_id) as retailer_id
from product_retailer_file_data as rf
left join (
select
d.brand_name,
d.name,
d.size,
d.cost_price_per_unit,
d.lookup_code,
d.warehouse_id
from data_entry_items as d
join (
select lookup_code, max(created_at) as max_date
from data_entry_items
where created_at > current_date-720
group by 1) as m on m.lookup_code = d.lookup_code and m.max_date = d.created_at
) as dei on dei.lookup_code = rf.code and dei.warehouse_id = rf.retailer_id
) as pd on pd.code = pc.code and pd.retailer_id = pc.warehouse_id
order by 1;