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
Related
I am trying to check whether an ID is present in a subquery. I have ran just the subquery and it produces a list of all the ID's which have a fee against it, so what I want to do is check whether the ID in the main query is present in the subquery. If it's present then return 1, else return 0.
This is an easy query but I have no idea where i'm going wrong, I tried using exists rather than in but this does not work either.
case when debtor._rowid in (
select distinct note.debtorid from note
left join debtor on note.debtorid = debtor._rowid
left join fee on fee.debtorid = debtor._rowid
where fee.type = "Enforcement" and note.type = "Stage")
then 1 else 0 end) as `Enforcement`
Below is the entire code, when I remove the above code from the main query below, it works perfectly, so there's something wrong in my case statement.
with cte_1
as
(
select
debtor._rowid as casref
,concat(date_format(date_sub(debtor._createddate, interval 3 month), '%y'), '/', date_format(date_add(debtor._createddate, interval 9 month), '%y')) as `F/Y`
,date_format(debtor._createddate, '%M %Y') as `Loaded Month`
,ifnull(concat(date_format(date_sub(debtor.offence_date, interval 3 month), '%y'), '/', date_format(date_add(debtor.offence_date, interval 9 month), '%y')),'-') as `LO F/Y`
,coalesce(date_format(debtor.offence_date,'%M %Y'),'-') as `Liability Order Month`
,scheme.name as `Scheme`
,branch.name as `Branch`
,count(debtor._rowid) as `Cases Received`
,count(debtor.linkid) as `LinkID`
,(case
when concat(date_format(date_sub(debtor._createddate, interval 3 month), '%y'), '/', date_format(date_add(debtor._createddate, interval 9 month), '%y'))
= ifnull(concat(date_format(date_sub(debtor.offence_date, interval 3 month), '%y'), '/', date_format(date_add(debtor.offence_date, interval 9 month), '%y')),'-')
then 1 else 0 end ) as `Same Year`
, case when debtor._rowid in (
select distinct note.debtorid from note
left join debtor on note.debtorid = debtor._rowid
left join fee on fee.debtorid = debtor._rowid
where fee.type = "Enforcement"
and note.type = "Stage")
then 1 else 0 end) as `Enforcement`
from debtor
left join clientscheme on debtor.clientschemeID = clientscheme._rowid
left join scheme on clientscheme.schemeID = scheme._rowid
left join branch on clientscheme.branchID = branch._rowid
left join fee on debtor._rowid = fee.debtorid
left join note on debtor._rowid = note.debtorid
where clientscheme.branchID in (1,10,24)
and debtor._createddate >= '2017-04-01'
group by debtor._rowid
)
,
cte_2
as
(
select
`F/Y`
,`Loaded Month`
,`LO F/Y`
,`Liability Order Month`
,`Scheme`
,`Branch`
,sum(`Cases Received`) as `Case Count`
,sum(`LinkID`) as `Linked Accounts`
,sum(`Same Year`) as `In Year LO`
,sum(Enforcement) as `Enforcement Applied`
from cte_1
group by
`Loaded Month`
,`Liability Order Month`
,`Scheme`
, `Branch`
)
select
`F/Y`
,`Loaded Month`
,`LO F/Y`
,`Liability Order Month`
,`Scheme`
,`Branch`
,`Case Count`
,`Linked Accounts`
,round((`Linked Accounts`/`Case Count`),2) * 100 as `% of Linked Accounts`
,round((`In Year LO`/`Case Count`),2) * 100 as `In Year LO's`
,`Enforcement Applied`
from cte_2
It appears that you want to logically check if, for a given record in the result set, a _noteid value from the debtor table matches to a debtors from the note table. You could rephrase your query as follows:
SELECT
(d._rowid = n.debtorid) AS `Enforcement Allocated`
FROM note n
LEFT JOIN debtor d
ON n.debtorid = d._rowid
LEFT JOIN fee f
ON f.debtorid = d._rowid
WHERE
f.type = 'Enforcement' AND n.type = 'Stage';
Note that since the output of your CASE expression is just 1 or 0, you may take advantage of that MySQL allows boolean expressions as values.
I have 3 column headings of account_id, game_date and queue_type. I have to show how many games an account has played per queue_type. Atm I am able to show the total number of games played per account for a set time period but how could I dig down into the total and instead show the columns for queue type instead of total?
SELECT account_id, COUNT(*) as GamesPlayed FROM Games
WHERE DATE (game_date) BETWEEN '2012-01-01' AND '2013-01-01'
GROUP BY account_id
HAVING COUNT(account_id) > 2;
This gives me two columns, the account id and then the total games played beside it, however instead of the total I would like the type of game played across the top as a column heading. There are 4 game types in total.
This is called conditional aggregation. You can count different types and assign them the column names needed. (Change the queue_type values per your data)
SELECT account_id
,COUNT(case when queue_type = 'A' THEN 1 END) as A
,COUNT(case when queue_type = 'B' THEN 1 END) as B
,COUNT(case when queue_type = 'C' THEN 1 END) as C
,COUNT(case when queue_type = 'D' THEN 1 END) as D
FROM Games
WHERE game_date >= '2012-01-01' AND game_date <='2013-01-01'
GROUP BY account_id
or more simply
SELECT account_id
,SUM(queue_type = 'A') as A
,SUM(queue_type = 'B') as B
,SUM(queue_type = 'C') as C
,SUM(queue_type = 'D') as D
FROM Games
WHERE game_date >= '2012-01-01' AND game_date <='2013-01-01'
GROUP BY account_id
Basically I get this from a simple select query:
SELECT Site.RefID, SiteName, Dates.Date, Dates.Type
FROM Site, Dates
WHERE Site.RefID = Dates.RefID;
RefID | SiteName | Date | Type
1 Sydney 06-12-15 OPENED
1 Sydney 08-12-15 CLOSED
2 Mel 17-12-15 OPENED
2 Mel 19-12-15 CLOSED
But I want to seperate it so tge result is similar to this:
RefID | SiteName | DateOPENED | DateCLOSED
1 Sydney 06-12-15 | 08-12-15
Basically I want to compare the data tracking details
Apologies in advance if this question isn't structured very well :/ I'm a complete beginner
I was thinking maybe a select within a select or possible case when's, but I can't seem to get either working
Try the following approach, using case expression:
select s.RefID
, s.Name
, min(case when d.Type == 'OPENED' then d.Date end) as DateOPENED
, min(case when d.Type == 'CLOSED' then d.Date end) as DateCLOSED
from Site s
join Dates d on s.RefID = d.RefID
group by s.RefID, s.Name
You can use conditional aggregation to get expected result:
SELECT Site.RefID, SiteName,
MIN(CASE WHEN Dates.Type = 'OPENED' THEN Dates.Date END) DateOPENED,
MAX(CASE WHEN Dates.Type = 'CLOSED' THEN Dates.Date END) DateCLOSED
FROM Site
INNER JOIN Dates ON Site.RefID = Dates.RefID
GROUP BY Site.RefID, SiteName
Also, it is always preferable to use explicit instead of implicit join syntax.
Add a GROUP BY to your current query, use MIN for opening date, and MAX for en closing date.
SELECT Site.RefID, SiteName, MIN(Dates.Date) as DateOPENED, MIN(Dates.Date) as DateCLOSED
FROM Site
JOIN Dates ON Site.RefID = Dates.RefID
group by fID, SiteName
Alternatively, JOIN once for opening and once for closing:
SELECT Site.RefID, SiteName, do.Date as DateOPENED, dc.Date as DateCLOSED
FROM Site
LEFT JOIN (select Refid, Date from Dates where Type = 'OPENED') do ON Site.RefID = do.RefID
LEFT JOIN (select Refid, Date from Dates where Type = 'CLOSED') dc ON Site.RefID = dc.RefID
SELECT A.RefId, A.SiteName, A.Date DateOpened, B.Date DateClosed
FROM #tbl A JOIN #tbl B
ON A.RefId = B.RefID
AND A.Type = 'OPENED'
AND B.Type = 'CLOSED'
For the sake of simplicity, have replaced the query with #tbl(you can deal with it howsoever you'd like to).
I need a month name with absent and present count. This is my database query:
SELECT sid,COUNT(CASE WHEN STATUS ='A' THEN 1 END) AS absent_count,COUNT(CASE WHEN STATUS ='P' THEN 1 END) AS present_count,
MONTHNAME(attendance_date) AS `Month_Name`
FROM attendance
WHERE SID = '2'
AND campus_id = 2
GROUP BY sid;
There's no point in group by sid - it will always be '2', as per your where clause. Instead, since you want to count per month name, that should appear in the group by clause:
SELECT MONTHNAME(attendance_date) AS `Month_Name`,
COUNT(CASE WHEN STATUS ='A' THEN 1 END) AS absent_count,
COUNT(CASE WHEN STATUS ='P' THEN 1 END) AS present_count,
FROM attendance
WHERE sid = '2' AND campus_id = 2
GROUP BY MONTHNAME(attendance_date);
I am really stucked with one sql select statement.
This is output/result which I get from sql statement below:
WHAT I need: I need to have columns assignedVouchersNumber and usedVouchersNumber together in one row by msisdn. So for example if you can see "msisdn" 723709656 there are two rows now.. one with assignedVouchersNumber = 1 and second with assignedVouchersNumber = 1 too.
But I need to have it in one row with assignedVouchersNumber = 2. Do you now where is the problem?
SELECT eu.msisdn,
eu.id as userId,
sum(case ev.voucherstate when '1' then 1 else 0 end) as assignedVouchersNumber,
sum(case ev.voucherstate when '2' then 1 else 0 end) as usedVouchersNumber,
ev.extra_offer_id,
ev.create_time,
ev.use_time,
ev.id as voucherId,
ev.voucherstate
FROM extra_users eu
JOIN (SELECT sn.msisdn AS telcislo,
stn.numberid
FROM stats_number sn
JOIN stats_target_number AS stn
ON ( sn.numberid = stn.numberid )
WHERE stn.targetid = 1) xy
ON eu.msisdn = xy.telcislo
JOIN extra_vouchers AS ev
ON ( eu.id = ev.extra_user_id )
WHERE ev.create_time BETWEEN '2012-07-23 00:00:00' AND '2013-08-23 23:59:59'
AND ev.use_time <= '2013-08-23 23:59:59'
AND ev.use_time >= '2012-07-23 00:00:00'
AND ev.voucherstate IN ( 1, 2 )
AND Ifnull(ev.extra_offer_id IN( 2335, 3195, 30538 ), 1)
GROUP BY eu.msisdn, ev.extra_offer_id, ev.voucherState
ORDER BY eu.msisdn ASC
You have two different extra_offer_id for same msisdn and VouchersNumber. Thats why you get two rows.
I got it... there should not be groupping by ev.voucherState in
GROUP BY eu.msisdn, ev.extra_offer_id, ev.voucherState
After then I have removed ev.voucherState it is working now.