I have this query
SELECT
currency_code,
SUM(CASE WHEN TYPE = 'buy'THEN to_amount END ) AS BUY,
SUM(CASE WHEN TYPE = 'sell' THEN to_amount END ) AS SELL,
SUM(CASE WHEN TYPE = 'sell' THEN rate END ) AS SELL_RATE,
SUM(CASE WHEN TYPE = 'buy' THEN rate END ) AS BUY_RATE,
AVG(CASE WHEN TYPE = 'buy' THEN rate END ) AS AVG_BUY_RATE,
AVG(CASE WHEN TYPE = 'sell' THEN rate END ) AS AVG_SELL_RATE
FROM tb_currency
LEFT JOIN tb_bill
ON tb_currency.CURRENCY_ID = tb_bill.CURRENCY_ID
AND tb_bill.TYPE IN ('buy', 'sell')
AND date( DATE_TIME ) >= '2011-01-01'
AND date( DATE_TIME ) <= '2011-01-11'
GROUP BY currency_code
that will output this:
Right now i want to join this query with another table called tb_user
the tb_user have PK called user_id and the tb_bill that is use in the query above also have foreign key called user_id
tb_user
user_id (pk)| user_name | branch_id
tb_bill
bill_id (pk) | user_id (fk)|
Desired result should be the above picture plus one column branch_id.
If it doesnt have branch_id, return null.
I tried several times but still cant join it correctly. Hope you guys can help.
Thanks.
The three conditions in the join (the AND clauses) might be giving you trouble. Those three conditions are selection criteria, not join criteria.
Also, your use of CASE looks odd to me. I'm sure it works, but IF might be better suited for a one-condition function. In the below, if the fields are floating point rather than integer then replace the 0 with 0.0.
SELECT currency_code,
SUM(IF(TYPE = 'buy', to_amount, 0)) AS BUY,
SUM(IF(TYPE = 'sell', to_amount, 0)) AS SELL,
SUM(IF(TYPE = 'sell', rate, 0)) AS SELL_RATE,
SUM(IF(TYPE = 'buy', rate, 0)) AS BUY_RATE,
AVG(IF(TYPE = 'buy', rate, 0)) AS AVG_BUY_RATE,
AVG(IF(TYPE = 'sell', rate, 0)) AS AVG_SELL_RATE,
tb_user.whatever_field,
tb_user.whatever_other_field
FROM tb_currency
LEFT JOIN tb_bill ON tb_currency.CURRENCY_ID = tb_bill.CURRENCY_ID
LEFT JOIN tb_user ON tb_bill.user_id = tb_user.user_id
WHERE tb_bill.TYPE IN ('buy', 'sell')
AND date( DATE_TIME ) >= '2011-01-01'
AND date( DATE_TIME ) <= '2011-01-11'
GROUP BY currency_code, tb_user.user_id
Finally, all-cap field names look odd to my eye as well. Whatever works for you though.
add user_id to SELECT part
after
LEFT JOIN tb_bill ON tb_currency.CURRENCY_ID = tb_bill.CURRENCY_ID
place
LEFT JOIN tb_user ON tb_user.id = tb_bill.user_id
also you missing WHERE ( put instead first AND )
and
GROUP BY currency_code, user_id
Related
For my query, the two derived tables at the bottom are causing a crazy slow up for this query. The query, as is, takes about 45-55 seconds to execute.. NOW, when i remove just one of those derived tables (it does not matter which one) the query goes down to 0.1 - 0.3 seconds. My questions; Is there an issue with having multiple derived tables? Is there a better way to execute this? My indexes all seem to be correct, I will also include the explain from this query.
select t.name as team, u.name as "REP NAME",
count(distinct activity.id) as "TOTAL VISITS",
count(distinct activity.account_id) as "UNIQUE VISITS",
count(distinct placement.id) as "COMMITMENTS ADDED",
CASE WHEN
count(distinct activity.account_id) = 0 THEN (count(distinct
placement.id) / 1)
else (cast(count(distinct placement.id) as decimal(10,2)) /
cast(count(distinct activity.account_id) as decimal(10,2)))
end as "UNIQUE VISIT TO COMMITMENT %",
case when o.mode='basic' then count(distinct placement.id) else
count(distinct(case when placement.commitmentstatus='fullfilled'
then placement.id else 0 end))
end as "COMMITMENTS FULFILLED",
case when o.mode='basic' then 1 else
(CASE WHEN
count(distinct placement.id) = 0 THEN (count(distinct(case when
placement.commitmentstatus='fullfilled' then placement.id else 0
end)) / 1)
else (cast(count(distinct(case when
placement.commitmentstatus='fullfilled' then placement.id else 0
end)) as decimal(10,2)) / cast(count(distinct placement.id) as
decimal(10,2)))
end) end as "COMMITMENT TO FULFILLMENT %"
from lpmysqldb.users u
left join lpmysqldb.teams t on t.team_id=u.team_id
left join lpmysqldb.organizations o on o.id=t.org_id
left join (select * from lpmysqldb.activity where
org_id='555b918ae4b07b6ac5050852' and completed_at>='2018-05-01' and
completed_at<='2018-06-01' and tag='visit' and accountname is not
null and (status='active' or status='true' or status='1')) as
activity on activity.user_id=u.id
left join (select * from lpmysqldb.placements where
orgid='555b918ae4b07b6ac5050852' and placementdate>='2018-05-01' and
placementdate<='2018-06-01' and (status IN ('1','active','true') or
status is null)) as placement on placement.userid=u.id
where u.org_id='555b918ae4b07b6ac5050852'
and (u.status='active' or u.status='true' or u.status='1')
and istestuser!='1'
group by u.org_id, t.name, u.id, u.name, o.mode
order by count(distinct activity.id) desc
Thank you for assistance!
I have edited below with changing the two bottom joins from joining on subqueries to joining on the table directly. Still yielding the same result.
This is a SLIGHTLY restructured query of your same. Might be simplified as the last two subqueries are all pre-aggregated for your respective counts and count distincts so you can use those column names directly instead of showing all the count( distinct ) embedded throughout the query.
I also tried to simplify the division by multiplying a given count by 1.00 to force decimal-based precision as result.
select
t.name as team,
u.name as "REP NAME",
Activity.DistIdCnt as "TOTAL VISITS",
Activity.UniqAccountCnt as "UNIQUE VISITS",
Placement.DistIdCnt as "COMMITMENTS ADDED",
Placement.DistIdCnt /
CASE WHEN Activity.UniqAccountCnt = 0
THEN 1.00
ELSE Activity.UniqAccountCnt * 1.00
end as "UNIQUE VISIT TO COMMITMENT %",
case when o.mode = 'basic'
then Placement.DistIdCnt
else Placement.DistFulfillCnt
end as "COMMITMENTS FULFILLED",
case when o.mode = 'basic'
then 1
else ( Placement.DistFulfillCnt /
CASE when Placement.DistIdCnt = 0
then 1.00
ELSE Placement.DistIdCnt * 1.00
END TRANSACTION )
END as "COMMITMENT TO FULFILLMENT %"
from
lpmysqldb.users u
left join lpmysqldb.teams t
on u.team_id = t.team_id
left join lpmysqldb.organizations o
on t.org_id = o.id
left join
( select
user_id,
count(*) as AllRecs,
count( distinct id ) DistIdCnt,
count( distinct account_id) as UniqAccountCnt
from
lpmysqldb.activity
where
org_id = '555b918ae4b07b6ac5050852'
and completed_at>='2018-05-01'
and completed_at<='2018-06-01'
and tag='visit'
and accountname is not null
and status IN ( '1', 'active', 'true')
group by
user_id ) activity
on u.id = activity.user_id
left join
( select
userid,
count(*) AllRecs,
count(distinct id) as DistIdCnt,
count(distinct( case when commitmentstatus = 'fullfilled'
then id
else 0 end )) DistFulfillCnt
from
lpmysqldb.placements
where
orgid = '555b918ae4b07b6ac5050852'
and placementdate >= '2018-05-01'
and placementdate <= '2018-06-01'
and ( status is null OR status IN ('1','active','true')
group by
userid ) as placement
on u.id = placement.userid
where
u.org_id = '555b918ae4b07b6ac5050852'
and u.status IN ( 'active', 'true', '1')
and istestuser != '1'
group by
u.org_id,
t.name,
u.id,
u.name,
o.mode
order by
activity.DistIdCnt desc
FINALLY, your inner queries are querying for ALL users. If you have a large count of users that are NOT active, you MIGHT exclude those users from each inner query by adding those join/criteria there too such as...
( ...
from
lpmysqldb.placements
JOIN lpmysqldb.users u2
on placements.userid = u2.id
and u2.status IN ( 'active', 'true', '1')
and u2.istestuser != '1'
where … ) as placement
Is there a way to get a total from the aggregate in each select case statement? The following gives me the correct total by listing the total for each month in a column but I would like to have a single total for each case statement.
SELECT SUM(
CASE WHEN dbo.bill_t_ARTransaction.TransactionDate BETWEEN '2000-01-01' AND '2016-12-31' THEN dbo.bill_t_ARTransaction.Amount ELSE 0 END
) AS 'Dec16'
, SUM(
CASE WHEN dbo.bill_t_ARTransaction.TransactionDate BETWEEN '2000-01-01' AND '2017-01-31' THEN dbo.bill_t_ARTransaction.Amount ELSE 0 END
) AS 'JAN17'
FROM dbo.bill_t_ARTransaction
INNER JOIN dbo.bill_t_TripTicket ON (
dbo.bill_t_ARTransaction.RunNumber = dbo.bill_t_TripTicket.RunNumber
)
INNER JOIN dbo.med_m_Company ON (
dbo.bill_t_TripTicket.CompanyCode = dbo.med_m_Company.CompanyCode
)
WHERE dbo.bill_t_TripTicket.CompanyCode = '105'
AND dbo.bill_t_ARTransaction.TransactionDate BETWEEN '2000-01-01' AND '2017-01-31'
GROUP BY dbo.bill_t_ARTransaction.TransactionDate
I just formated your SQL - so it will be more readable for human beings - and put it in a Subselect.
In the outer Select i just added the SUM of the two calculated columns
SELECT sums.*
,SUM(sums.DEC16 + sums.JAN17) AS TOTAL_SUM
FROM (
SELECT SUM( CASE WHEN dbo.bill_t_ARTransaction.TransactionDate
BETWEEN '2000-01-01'
AND '2016-12-31'
THEN dbo.bill_t_ARTransaction.Amount
ELSE 0
END
) AS DEC16
,SUM( CASE WHEN dbo.bill_t_ARTransaction.TransactionDate
BETWEEN '2000-01-01'
AND '2017-01-31'
THEN dbo.bill_t_ARTransaction.Amount
ELSE 0
END
) AS JAN17
FROM dbo.bill_t_ARTransaction
INNER JOIN dbo.bill_t_TripTicket
ON dbo.bill_t_ARTransaction.RunNumber = dbo.bill_t_TripTicket.RunNumber
INNER JOIN dbo.med_m_Company
ON dbo.bill_t_TripTicket.CompanyCode = dbo.med_m_Company.CompanyCode
WHERE dbo.bill_t_TripTicket.CompanyCode = '105'
AND dbo.bill_t_ARTransaction.TransactionDate BETWEEN '2000-01-01' AND '2017-01-31'
GROUP BY dbo.bill_t_ARTransaction.TransactionDate
) sums
I think you just want to get right of the GROUP BY:
SELECT SUM(CASE WHEN ba.TransactionDate BETWEEN '2000-01-01' AND '2016-12-31'
THEN ba.Amount ELSE 0
END) AS Dec16,
SUM(CASE WHEN ba.TransactionDate BETWEEN '2000-01-01' AND '2017-01-31'
THEN ba.Amount ELSE 0
END) AS JAN17
FROM dbo.bill_t_ARTransaction ba INNER JOIN
dbo.bill_t_TripTicket bt
ON ba.RunNumber = bt.RunNumber INNER JOIN
dbo.med_m_Company c
ON bt.CompanyCode = c.CompanyCode
WHERE bt.CompanyCode = '105' AND
ba.TransactionDate BETWEEN '2000-01-01' AND '2017-01-31';
Note the other changes I made to the query:
I removed the single quotes from the column aliases. Single quotes should only be used for string and date values (using them for column aliases is allowed but can cause confusion).
The tables are given aliases.
The column names are qualified with the aliases (the query is easier to write and to read.
Note that '105' should not have quotes, if CompanyCode is numeric.
I think the query can be simplified to:
SELECT SUM(CASE WHEN ba.TransactionDate BETWEEN '2000-01-01' AND '2016-12-31'
THEN ba.Amount ELSE 0
END) AS Dec16,
SUM(CASE WHEN ba.TransactionDate BETWEEN '2000-01-01' AND '2017-01-31'
THEN ba.Amount ELSE 0
END) AS JAN17
FROM dbo.bill_t_ARTransaction ba INNER JOIN
dbo.bill_t_TripTicket bt
ON ba.RunNumber = bt.RunNumber
WHERE bt.CompanyCode = 105 AND
ba.TransactionDate BETWEEN '2000-01-01' AND '2017-01-31';
The Company table does not appear to be being used.
You can do this:
SELECT DATENAME(MONTH, Transaction.TransactionDate) + RIGHT(YEAR(Transaction.TransactionDate), 2) AS MonthYear
, SUM(Transaction.Amount) AS Amount
FROM dbo.bill_t_ARTransaction Transaction
INNER JOIN dbo.bill_t_TripTicket Ticket
ON Transaction.RunNumber = Ticket.RunNumber
INNER JOIN dbo.med_m_Company Company
ON Ticket.CompanyCode = Company.CompanyCode
WHERE Ticket.CompanyCode = '105'
AND Transaction.TransactionDate >= '2000-01-01'
AND Transaction.TransactionDate < '2017-02-01'
GROUP BY DATENAME(MONTH, Transaction.TransactionDate) + RIGHT(YEAR(Transaction.TransactionDate), 2)
Assuming dbo.bill_t_ARTransaction.TransactionDate is a datetime(2): Are you aware that in 'DEC16' you are missing transaction from (as an example) 2016-12-31 11:00:00? BETWEEN is inclusive on both sides, and dates are defaulted to midnight (00:00:00) if no time component is defined. I altered the WHERE clause accordingly. I also added aliases to help the readability.
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 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.
Using the following sqlfiddle here How would I find the most recent payment made between the months of 2012-04-1 and 2012-03-31 using the case statement as in the previous queries
I tried this:
max(case when py.pay_date >= STR_TO_DATE(CONCAT(2012, '-04-01'),'%Y-%m-%d') and py.pay_date <= STR_TO_DATE(CONCAT(2012, '-03-31'), '%Y-%m-%d') + interval 1 year then py.amount end) CURRENT_PAY
However the answer I am getting is incorrect, where the actual answer should be:(12, '2012-12-12', 20, 1)
Please Provide me with some assistance, thank you.
Rather than a CASE inside your MAX() aggregate, that condition belongs in the WHERE clause. This joins against a subquery which pulls the most recent payment per person_id by joining on MAX(pay_date), person_id.
SELECT payment.*
FROM
payment
JOIN (
SELECT MAX(pay_date) AS pay_date, person_id
FROM payment
WHERE pay_date BETWEEN '2012-04-01' AND DATE_ADD('2012-03-31', INTERVAL 1 YEAR)
GROUP BY person_id
) maxp ON payment.person_id = maxp.person_id AND payment.pay_date = maxp.pay_date
Here is an updated fiddle with the ids corrected in your table (since a bunch of them were 15). This returns record 18, for 2013-03-28.
Update
After seeing the correct SQL fiddle... To incorporate the results of this query into your existing one, you can LEFT JOIN against it as a subquery on p.id.
select p.name,
v.v_name,
sum(case when Month(py.pay_date) = 4 then py.amount end) april_amount,
(case when max(py.pay_date)and month(py.pay_date)= 4 then py.amount else 0 end) max_pay_april,
sum(case
when Month(py.pay_date) = Month(curdate())
then py.amount end) current_month_amount,
sum(case
when Month(py.pay_date) = Month(curdate())-1
then py.amount end) previous_month_amount,
maxp.pay_date AS last_pay_date,
maxp.amount AS last_pay_amount
from persons p
left join vehicle v
on p.id = v.person_veh
left join payment py
on p.id = py.person_id
/* LEFT JOIN against the subquery: */
left join (
SELECT MAX(pay_date) AS pay_date, amount, person_id
FROM payment
WHERE pay_date BETWEEN '2012-04-01' AND DATE_ADD('2012-03-31', INTERVAL 1 YEAR)
GROUP BY person_id, amount
) maxp ON maxp.person_id = p.id
group by p.name,
v.v_name