Hello
I have following columns in mysql table: rating1, rating2, price, cond, approved
Is it possible to select results like this:
select
average rating1 + rating2 as total_rating,
average rating1 as rating1,
average rating2 as rating2,
average price if cond = '1' as price_used
average price if cond = '2' as price_new
where approved = '1'
So far I have:
SELECT
(AVG(t.rating1) + AVG(t.rating2)) / 2 AS total_rating
AVG(t.rating1) AS rating1,
AVG(t.rating2) AS rating2,
---- price statements?? ----
FROM t
WHERE 1=1
AND t.approved = '1'
Many thanks and excuse me for my English
Try this:
SELECT (AVG(t.rating1) + AVG(t.rating2)) / 2 AS total_rating,
AVG(t.rating1) AS rating1,
AVG(t.rating2) AS rating2,
AVG(IF(cond='1', price, NULL)) price_used,
AVG(IF(cond='2', price, NULL)) price_new
FROM t
WHERE 1=1
AND t.approved = '1'
EDIT: Updated the query to get desired result.
Standard SQL, works across "all" major dbms:
select (avg(t.rating1) + avg(t.rating2)) / 2 as total_rating
,avg(t.rating1) as rating1
,avg(t.rating2) as rating2
,avg(case when cond = '1' then price end) as price_used
,avg(case when cond = '2' then price end) as price_new
from t
where t.approved = '1'
I don't think doing an average on the If statement will work. But here is the syntax for the IF.
IF(condition, value_to_display_if_true, value_to_display_if_false)
So, for example, IF(1=1, 'true', 'false') would always display 'true' for this column because 1 does = 1.
Related
I have a table which traces the users records I want to know which are the complete and process users's records based on their status
Here is the sql query
SELECT users.UserID,users.UserName,users.FirstName,users.LastName,users.Email,
CASE WHEN inword.inword_status = '3' THEN count(*) END As 'Process' ,
CASE WHEN inword.inword_status = '4' THEN count(*) END AS 'Complete'
FROM tbl_user users
INNER JOIN tbl_inword inword on users.UserID=inword.UserID
Where inword.Status=1 and users.Status=1 and
inword.CreatedDate BETWEEN '2020-10-01' and '2020-10-31' and inword.inword_status in (3)
group by users.UserID
Here is Query Output
My Expected result is
UserID Name Total Process Complete
1 Umair 1 1 0
1 Basit 20 20 0
1 Zaidi 34 32 2
Any Help would be Appreciated
You're not doing your conditional aggregation correctly, you should use something like:
COUNT(CASE WHEN inword.inword_status = '3' THEN inword.UserId END) As 'Process' ,
COUNT(CASE WHEN inword.inword_status = '4' THEN inword.UserId END) AS 'Complete'
Or you can take advantage of MySQL treating booleans as 1 or 0 in a numeric context and simplify to:
SUM(inword.inword_status = '3') As 'Process' ,
SUM(inword.inword_status = '4') AS 'Complete'
What I'm looking to do is show my current performance for this month, compared with expected scheduled wins to come in and then display the total expected amount, by product type.
For clarity, I have two sub-products that I'm grouping under the same name.
My issue is that for my 'Charged' amount, it's keeping the two sub-products separate, where as the 'Scheduled' amount is working fine.
The table should look like:
Type | Charged | Scheduled | Expected
A 3 2 5
B 1 1 2
What's actually showing is:
Type | Charged | Scheduled | Expected
A 2 1 3
A 1 1 2
B 1 1 2
The code is as follows:
select
t2.product,
t1.Charged,
t2.Scheduled,
t1.charged + t2.scheduled as 'expected'
from(
select
case
when user_type = 'a1' then 'a'
when user_type = 'a2' then 'a'
else 'b'
end as 'Type',
SUM(charged) as 'Scheduled'
from
table
where
month(date) = month(now())
and
year(date) = year(now())
and status like 'scheduled'
group by 1
order by 2 desc) t2 join
(select
case
when user_type = 'a1' then 'a'
when user_type = 'a2' then 'a'
else 'b'
end as 'Type',
sum(charged) as 'Charged'
FROM table
WHERE (status = 'Complete'
AND str_to_date(concat(date_format(date, '%Y-%m'), '-01'), '%Y-%m-%d') = str_to_date(concat(date_format(now(), '%Y-%m'), '-01'), '%Y-%m-%d'))
GROUP BY user_type
ORDER BY user_type ASC) as t1 on t1.type = t2.type
I appreciate I might not be explaining this incredibly well (and that my code is probably quite clunky - I'm still fairly new!) so any help/direction would be appreciated.
Thanks!
Just some suggestion
you have a column product in main select but you have type in subquery and not product
you should not use sigle quote around column name
ad you have group by user_type but you need group by type for charged
select
t2.type,
t1.Charged,
t2.Scheduled,
t1.charged + t2.scheduled as 'expected'
from(
select
case
when user_type = 'a1' then 'a'
when user_type = 'a2' then 'a'
else 'b'
end as Type,
SUM(charged) as Scheduled
from
table
where
month(date) = month(now())
and
year(date) = year(now())
and status like 'scheduled'
group by 1
order by 2 desc) t2 join
(select
case
when user_type = 'a1' then 'a'
when user_type = 'a2' then 'a'
else 'b'
end as Type,
sum(charged) as Charged
FROM table
WHERE (status = 'Complete'
AND str_to_date(concat(date_format(date, '%Y-%m'), '-01'), '%Y-%m-%d') = str_to_date(concat(date_format(now(), '%Y-%m'), '-01'), '%Y-%m-%d'))
GROUP BY Type
ORDER BY Type ASC) as t1 on t1.type = t2.type
I have a table called item table.
Sample contents:
order product plan qty price term base_price
CO0300039921 ZZFEE0000 N 1 0.01 1 25
CO0300039921 ZZFEE0000 N 1 0.01 1 37.13
CO0300039921 ZZFEE0000 N 1 0.02 1 37.13
CO0300039921 ZZFEE0000 Y 1 0 1 1
CO0300039921 ZZFEE0000 Y 1 0 1 1
AO1000301407 VOSVC0002W0 Y 1 0 1 3
AO1000301407 VOACT0101 N 1 0 2 5.99
If plan is ‘N’ Then
get SUM(qty) AS 'quantity'
get price AS 'rate'
If plan is ‘Y’ Then
get SUM(qty) AS 'quantity'
get (term * qty) AS 'rate'
get (base_price) AS 'base'
FROM item
WHERE order = 'CO0300039921'
GROUP BY product, price, base_price
EXPECTED RESULT:
order product plan qty price rate base_price
CO0300039921 ZZFEE0000 N 2 0.01 0.01 -
CO0300039921 ZZFEE0000 N 1 0.02 1 -
CO0300039921 ZZFEE0000 Y 2 - 1 1
Here is what I've tried:
SELECT CASE WHEN p8_plus_plan = 'Y' THEN
(
SUM(qty_ordered),
(p8_contract_term*qty_ordered) AS 'rate',
product_base_price
)
ELSE
(
SUM(qty_ordered),
price AS 'rate'
)
END
FROM ns_order_line
WHERE order_no = ?
GROUP BY product_id, price, p8_plus_plan, product_base_price, order_no;
But I'm having an error. Please help.
You would do this using conditional aggregation. Something like this:
select sum(case when plan = 'N' then qty end) as N_qty,
sum(case when plan = 'N' then price end) as N_rate,
sum(case when plan = 'Y' then qty end) as Y_qty,
sum(case when plan = 'Y' then term*qty end) as Y_rate,
sum(case when plan = 'Y' then base_price end) as Y_base
from item
where order = 'CO0300039921'
group by product;
I'm not sure what you really want to aggregate by. But the key idea where is the case inside the aggregation functions.
Something like this I imagine.
SELECT
`order`
, `product`
, `plan`
, CASE WHEN `plan` = 'Y' THEN base_price END AS base /* edit due to comment */
, SUM(qty) AS qty
, MAX(price) AS price
, SUM(CASE WHEN `plan` = 'N' THEN price
WHEN `plan` = 'Y' THEN (term * qty) END) AS rate
FROM item
WHERE `order` = 'CO0300039921'
GROUP BY
`order`
, `product`
, `plan`
, CASE WHEN `plan` = 'Y' THEN base_price END
btw: The column name "order" is not a good choice as it is a reserved word and very frequently used too. You need to use backticks when referencing that column.
It is possible to use a CASE EXPRESSION without an aggregate function, BUT that case expression then must* also be part of he GROUP BY clause.
*In MySQL (only) you can bypass this because MySQL has an unusual "extension" to group by syntax but this can be changed by server settings and relying on that extension is risky. I strongly urge you to include all columns (including case expressions) into the group by clause that do NOT use an aggregate function (sum/count/avg etc.)
I currently have 2 SQL queries:
select
SUM(CASE T1.DOCTYPE
WHEN '1' THEN T1.CURTRXAM *1
WHEN '4' THEN T1.CURTRXAM *-1
WHEN '5' THEN T1.CURTRXAM *-1
WHEN '6' THEN T1.CURTRXAM *-1
END) as [Payables TB]
from PM20000 T1
select
sum(PERDBLNC) as [GL Balance]
from GL10110
where ACTINDX = '130'
which return 2 results like this:
Payables TB
1520512.30
GL Balance
-1520512.30
I would like to combine the results into 2 columns and have a variance column like below -
Payables TB GL Balance Variance
1520512.30 -1520512.30 0.00
Thank you
simply
select
(select
SUM(CASE T1.DOCTYPE
WHEN '1' THEN T1.CURTRXAM *1
WHEN '4' THEN T1.CURTRXAM *-1
WHEN '5' THEN T1.CURTRXAM *-1
WHEN '6' THEN T1.CURTRXAM *-1
END) as [Payables TB]
from PM20000 T1) as Payables TB,
(select
sum(PERDBLNC) as [GL Balance]
from GL10110
where ACTINDX = '130') as GL Balance,
0.00 as Variance
You can wrap these into CTE's to reuse the values to compute the difference. With no join condition you will just need to CROSS JOIN, as long as these return just one row each :
WITH Payables AS
(
SELECT
SUM(
CASE
WHEN T1.DOCTYPE IN ('1') THEN T1.CURTRXAM *1
WHEN T1.DOCTYPE IN ('4','5','6') THEN T1.CURTRXAM *-1
-- ? ELSE
END) as [Payables TB]
FR PM20000 T1
),
Balance AS
(
SELECT
SUM(PERDBLNC) as [GL Balance]
FROM GL10110
WHERE ACTINDX = '130'
)
SELECT
Payables.[Payables TB],
Balance.[GL Balance],
Payables.[Payables TB] + Balance.[GL Balance] AS Variance
FROM
Payables, Balance; -- OR Payables CROSS JOIN Balance
Since you seem to be doing the same projection for T1.DOCTYPE 4, 5 and 6 in the first query, you can replace it with a CASE WHEN x IN (...)
I have a table which looks something like this...
supplier_name status count
supplier_a Unavailable 1
supplier_a Refunded 5
supplier_a Shipped 10
supplier_z Refunded 2
supplier_z Shipped 4
I know exactly what columns I want and I would like to use the values from the first table to return values structured like the following...
supplier_name unavailable refunded shipped
supplier_a 1 5 10
supplier_z 0 2 4
(note: in cases where there is no value for a specific column it should be set to 0)
Would this be possible to achieve in a query?
I think something like this should work:
SELECT Supplier_Name,
MAX(CASE WHEN STATUS = 'Unavailable' THEN Count ELSE 0 END) as Unavailable,
MAX(CASE WHEN STATUS = 'Refunded' THEN Count ELSE 0 END) as refunded,
MAX(CASE WHEN STATUS = 'Shipped' THEN Count ELSE 0 END) as shipped
FROM YourTable
GROUP BY Supplier_Name
And here is the SQL Fiddle.
Good luck.
Try this:
SELECT
supplier_name,
SUM(COALESCE(CASE WHEN status = 'unavailable' THEN `count` END, 0)) unavailable,
SUM(COALESCE(CASE WHEN status = 'refunded' THEN `count` END, 0)) refunded,
SUM(COALESCE(CASE WHEN status = 'shipped' THEN `count` END, 0)) shipped
FROM tbl
GROUP BY supplier_name
SQL FIDDLE DEMO