i have two tables
td_sell
|----------|----------------|------------------|
| id | user_id | price |
|----------------------------------------------|
| 1 | 2 | 10 |
|----------------------------------------------|
| 2 | 1 | 5 |
|----------------------------------------------|
| 3 | 2 | 3 |
|----------------------------------------------|
and td_commsion
|----------|----------------|------------------|
| id | user_id | price |
|----------------------------------------------|
| 1 | 1 | 3 |
|----------------------------------------------|
| 2 | 1 | 5 |
|----------------------------------------------|
| 3 | 2 | 3 |
|----------------------------------------------|
now i want a sql query like this
SELECT (SUM(td_sell.price) + SUM(td_comission.price)) AS his_earning
FROM td_sell, td_comission
WHERE td_sell.user_id='1'
AND td_comission.user_id='1'
but its showing abnormal result
the result should be 13, but its showing 29
This will work:
SELECT (SELECT SUM(s.price) FROM td_sell s WHERE s.user_id = 1)
+
(SELECT SUM(c.price) FROM td_comission c WHERE c.user_id = 1)
DEMO: SqlFiddle
You are getting the sum of the Cartesian join of the two tables.
http://en.wikipedia.org/wiki/Cartesian_product
SELECT sum(price)
FROM (
SELECT * FROM td_sell
UNION ALL
SELECT * FROM td_commission
) a
where a.user_id=1
Here's a SQL Fiddle:
Fiddle
You need to do the sum separately on each table, before combining the results. Here is one way:
select (sell + commission) as his_earning
from (select SUM(td_sell.price) as sell
from td_sell
where td_sell.user_id='1'
) s cross join
(select SUM(td_comission.price) as commission
from td_comission
where td_comission.user_id='1'
) c
Related
We have 3 tables :
donations
purposes
expenses
Donations :
+--------+------+
| do_id | name |
+--------+------+
| 1 | A |
| 2 | B |
| 3 | A |
| 4 | D |
| 5 | B |
| 6 | B |
| 7 | A |
| 8 | B |
+--------+----- +
purposes:
+-------+-------+--------+
| pu_id | do_id | purpose|
+-------+-------+--------+
| 1 | 2 | abc |
| 2 | 2 | def |
| 3 | 2 | gih |
| 4 | 3 | jkl |
+-------+-------+--------+
expense :
+-------+-------+---------+
| ex_id | do_id | expense |
+-------+-------+---------+
| 1 | 2 | abc |
| 2 | 2 | def |
| 3 | 2 | gih |
| 4 | 3 | jkl |
+-------+-------+---------+
Now i want to make query to get all donations for donor B and join purposes table to get all purposes related to every donation_id then join expenses table to get all expenses related to donation_id and put all of that in every loop independently something like that
Row number 0
donation_id = 1
array(purposes)
array(expenses)
Row number 1
donation_id = 2
array(purposes)
array(expenses)
Row number 2
donation_id = 3
array(purposes)
array(expenses)
Row number 3
donation_id = 4
array(purposes)
array(expenses)
This is my try :
SELECT *, (
SELECT *
FROM `donation_purposes`
WHERE `donation_purposes`.`dopu_donation_id` = 4
) AS `purposes`
FROM `donations`
WHERE `donation_id` = '4'
thanks in advance
You should be able to solive this with an aggregate query using MySQL aggregate function JSON_ARRAYAGG(), like :
SELECT
d.do_id,
JSON_ARRAYAGG(p.purpose) purposes,
JSON_ARRAYAGG(e.expense) expenses
FROM donations d
INNER JOIN purposes p ON p.do_id = d.do_id
INNER JOIN expense e ON e.do_id = d.do_id
GROUP BY d.do_id
I you want to avoid duplicate values in the array, and as JSON_ARRAYAGG() (sadly) does not support the DISTINCT option, you can move aggregation to subqueries, like :
SELECT
d.do_id,
p.agg purpose,
e.agg expenses
FROM donations d
INNER JOIN (
SELECT do_id, JSON_ARRAYAGG(purpose) agg FROM purposes GROUP BY do_id
) p ON p.do_id = d.do_id
INNER JOIN (
SELECT do_id, JSON_ARRAYAGG(expense) agg FROM expense GROUP BY do_id
) e ON e.do_id = d.do_id
This demo on DB Fiddle returns :
| do_id | purpose | expenses |
| ----- | --------------------- | --------------------- |
| 2 | ["abc", "def", "gih"] | ["abc", "def", "gih"] |
| 3 | ["jkl"] | ["jkl"] |
1st Select Query Purposes
SELECT purposes.* FROM purposes
LEFT JOIN donations
ON purposes.do_id = donations.do_id
WHERE donations.do_id = '2' //This depends on the id of the donation
ORDER BY purposes.do_id ASC
2nd Select Query Expenses
SELECT expense.* FROM expense
LEFT JOIN donations
ON expense.do_id = donations.do_id
WHERE donations.do_id = '2' //This depends on the id of the donation
ORDER BY expense.ex_id ASC
All queries generated are from the table structure you've provided, but your question is quite vague!!
So I have two SQL tables: one with id and in the other is meta value and meta_key. I joined them so it looks something like this:
+------+------------+----------+
| id | meta_value | meta_key |
+------+------------+----------+
| 1544 | product1 | 1 |
| 1544 | 2 | 2 |
| 1545 | product2 | 1 |
| 1545 | 5 | 2 |
| 1546 | product3 | 1 |
| 1546 | 10 | 2 |
+------+------------+----------+
And I want to get a query that would show me a table like this:
+------+------------+------------+
| id | meta_value | meta_value |
+------+------------+------------+
| 1544 | product1 | 2 |
| 1545 | product2 | 5 |
| 1546 | product3 | 10 |
+------+------------+------------+
The SQL query for first table looks like this:
SELECT
wprq_gf_entry.id,
wprq_gf_entry_meta.meta_value,
wprq_gf_entry_meta.meta_key
FROM
wprq_gf_entry
INNER JOIN wprq_gf_entry_meta ON wprq_gf_entry.id = wprq_gf_entry_meta.entry_id
WHERE
wprq_gf_entry_meta.form_id = 6
Is there a way to do this? ... Thank you!
You can use JOIN, but you need two of them:
SELECT e.*, m1.meta_value, m2.meta_value
FROM wprq_gf_entry e JOIN
wprq_gf_entry_meta m1
ON e.id = m1.entry_id AND m1.meta_key = 1 JOIN
wprq_gf_entry_meta m2
ON e.id = m2.entry_id AND m2.meta_key = 2;
You can use the table you created, let's call it joined_table.
With joined_table as(
SELECT
wprq_gf_entry.id,
wprq_gf_entry_meta.meta_value,
wprq_gf_entry_meta.meta_key
FROM wprq_gf_entry
INNER JOIN wprq_gf_entry_meta ON wprq_gf_entry.id
= wprq_gf_entry_meta.entry_id
WHERE wprq_gf_entry_meta.form_id = 6
)
Were dividing it into two tables - one with meta-key = 1 and the other with meta-key = 2.
Then, we are joining them
Select jt.id, jt.meta_value as meta_value_1,
jt2.meta_value as meta_value_2
From joined_table jt
Join joined_table jt2
On jt.id = jt2.id
And jt2.meta_key = 2
Where jt.meta_key = 1
I have the following tables:
purchase_tbl
id | productId | purchaseQuantity
---+-----------+-----------------
1 | 1 | 30
2 | 2 | 30
3 | 1 | 10
4 | 2 | 10
sale_tbl
id | productId | saleQuantity
---+-----------+-------------
1 | 1 | 10
2 | 2 | 10
3 | 1 | 10
4 | 2 | 10
5 | 1 | 10
6 | 2 | 10
I need to get the output as this one:
productId | totalPurchasedQuantity| totalSaleQuantity
----------+-----------------------+------------------
1 | 40 | 30
2 | 40 | 30
I'm using this query and how to get the desired result?
SELECT purchase_tbl.productId
, SUM(purchase_tbl.purchaseQuantity) AS totalPurchaseQuantity
, SUM(sale_tbl.saleQuantity) AS totalSaleQuantity
FROM purchase_tbl
JOIN sale_tbl
ON purchase_tbl.productId = sale_tbl.productId
GROUP BY purchase_tbl.productId
Current output
productId | totalPurchaseQuantity | totalSaleQuantity
----------+-----------------------+------------------
1 | 120 | 60
2 | 120 | 60
You better group then in separate query, as table have multiple records for each product, which getting cross product.
SELECT purchase.productId, totalPurchaseQuantity, totalSaleQuantity
FROM
(SELECT purchase_tbl.productId
, SUM(purchase_tbl.purchaseQuantity) AS totalPurchaseQuantity
FROM purchase_tbl
GROUP BY purchase_tbl.productId) purchase
INNER JOIN
(SELECT sale_tbl.productId
, SUM(sale_tbl.saleQuantity) AS totalSaleQuantity
FROM sale_tbl
GROUP BY sale_tbl.productId
) sale ON sale.productId= purchase.productId;
To obtain your expected result you have to do the aggregation on the individual table before joining them. Your query with be like:
SELECT A.productId, A.totalpurchaseQuantity, B.totalsaleQuantity
FROM
(SELECT productId, SUM(purchaseQuantity)
totalpurchaseQuantity FROM purchase_tbl
GROUP BY productId) A JOIN
(SELECT productId, SUM(saleQuantity)
totalsaleQuantity FROM sale_tbl
GROUP BY productId) B ON
A.productId=B.productId;
I am trying to connect two tables with left join and a date.
My SQL Query
SELECT
ord.`ordernumber` bestellnummer,
his.`change_date` zahldatum
FROM
`s_order` ord
LEFT JOIN
`s_order_history` his ON ((ord.`id`=his.`orderID`) AND (ord.`cleared`=his.`payment_status_id`)) #AND MIN(his.`change_date`)
WHERE
ord.`ordertime` >= \''.$dateSTART.'\' AND ord.`ordertime` <= \''.$dateSTOP.'\'' ;
s_order
+----+---------------------+---------+-------------+
| id | ordertime | cleared | ordernumber |
+----+---------------------+---------+-------------+
| 1 | 2014-08-11 19:53:43 | 2 | 123 |
| 2 | 2014-08-15 18:33:34 | 2 | 125 |
+----+---------------------+---------+-------------+
s_order_history
+----+-------------------+-----------------+---------+---------------------+
| id | payment_status_id | order_status_id | orderID | orderID change_date |
+----+-------------------+-----------------+---------+---------------------+
| 1 | 1 | 5 | 1 | 2014-08-11 20:53:43 |
| 2 | 2 | 5 | 1 | 2014-08-11 22:53:43 |
| 3 | 2 | 7 | 1 | 2014-08-12 19:53:43 |
| 4 | 1 | 5 | 2 | 2014-08-15 18:33:34 |
| 5 | 1 | 6 | 2 | 2014-08-16 18:33:34 |
| 6 | 2 | 6 | 2 | 2014-08-17 18:33:34 |
+----+-------------------+-----------------+---------+---------------------+
Wanted result:
+-------------+---------------------+
| ordernumber | change_date |
+-------------+---------------------+
| 123 | 2014-08-11 22:53:43 |
| 125 | 2014-08-17 18:33:34 |
+-------------+---------------------+
The problem I have is getting only the date, where the cleared/payment_status_id value has been changed in s_order. I currently get all dates where the payment_status_id matches the current cleared value, but I only need the one, where it happend first.
This is only an excerpt of the actually query, since the original is a lot longer (mostly more left joins and a lot more tables).
You can group data by ordernumber
SELECT
ord.`ordernumber` bestellnummer,
MIN(his.`min_change_date`) as zahldatum
FROM
`s_order` ord
LEFT JOIN
`s_order_history` his ON ((ord.`id`=his.`orderID`) AND (ord.`cleared`=his.`payment_status_id`)) #AND MIN(his.`change_date`)
WHERE
ord.`ordertime` >= \''.$dateSTART.'\' AND ord.`ordertime` <= \''.$dateSTOP.'\''
GROUP BY
ord.`ordernumber`;
or you can group data in a subquery:
SELECT
ord.`ordernumber` bestellnummer,
his.`min_change_date` zahldatum
FROM
`s_order` ord
LEFT JOIN (
SELECT
orderID, payment_status_id, MIN(change_date) as min_change_date
FROM
s_order_history
GROUP BY
orderID, payment_status_id
) his ON (ord.`id` = his.`orderID` AND ord.`cleared` = his.`payment_status_id`)
WHERE
ord.`ordertime` >= \''.$dateSTART.'\' AND ord.`ordertime` <= \''.$dateSTOP.'\'';
Try this:
select s_order.ordernumber, min(s_order_history.change_date)
from s_order left join s_order_history
on s_order.id = s_order_history.orderID
and s_order.cleared = s_order_history.payment_status_id
group by s_order.order_id
SELECT ord.`ordernumber` bestellnummer,
MIN( his.`change_date` ) zahldatum
...
GROUP BY ord.`ordernumber`
MIN is an aggregate function so you can't use it in a JOIN straight up like you've tried above. You also are not comparing it to a value in your JOIN.
You'll want to do something like:
his.`change_date` = (SELECT MIN(his.`change_date`) FROM s_order_history where ord.`id` = his.`orderID`)
in your JOIN.
Hello there I want to get data from two tables that share same column name. My table structure are
Table patients
---------------------------------------
| id | affiliate_id | somecolumn |
---------------------------------------
| 1 | 8 | abc |
---------------------------------------
| 2 | 8 | abc |
---------------------------------------
| 3 | 9 | abc |
---------------------------------------
Table Leads
---------------------------------------
| id | affiliate_id | someothern |
---------------------------------------
| 1 | 8 | xyz |
---------------------------------------
| 2 | 8 | xyz |
---------------------------------------
| 3 | 3 | xyz |
---------------------------------------
Now my requirement was to get COUNT(ID) from both tables in a single query. I want result like
----------------------------------------------------
| affiliate_id | total_patients | total_leads |
----------------------------------------------------
| 8 | 2 | 2 |
----------------------------------------------------
| 9 | 1 | 0 |
----------------------------------------------------
| 3 | 0 | 1 |
----------------------------------------------------
I wrote following query
SELECT `p`.`affiliate_id`, COUNT(p.id) AS `total_patients`,
COUNT(cpl.id) AS `total_leads`
FROM `patients` AS `p`
INNER JOIN `leads` AS `cpl` ON p.affiliate_id =cpl.affiliate_id
GROUP BY `p`.`affiliate_id`
But I am not getting result . This query results giving only one affiliate with same number of total_patients and total_leads
The problem is that you need to get a list of the distinct affiliate_id first and then join to your other tables to get the result:
select a.affiliate_id,
count(distinct p.id) total_patients,
count(distinct l.id) total_leads
from
(
select affiliate_id
from patients
union
select affiliate_id
from leads
) a
left join patients p
on a.affiliate_id = p.affiliate_id
left join leads l
on a.affiliate_id = l.affiliate_id
group by a.affiliate_id;
See SQL Fiddle with Demo
Two ways:
Select l.affiliate_id ,
count(distinct p.id) patientCount,
count(distinct l.id) LeadCOunt
From patients p Join leads l
On l.affiliate_id = p.Affiliate_id
Group By l.affiliate_id
or, (assuming affiliates are in their own table somewhere)
Select Affiliate_id,
(Select Count(*) From Patients
Where Affiliate_id = a.Affiliate_id) patientCount,
(Select Count(*) From Leads
Where Affiliate_id = a.Affiliate_id) LeadCount
From affiliates a