How to sum the percent to be exactly 100.00%? - mysql

I have a problem how to sum the percent to be 100.00. i try use the "Round" but the result just show 99.93. Anyone got the idea?.
SELECT Sum(percent)
FROM (SELECT state,
jantina,
bilmale,
jds,
jumall,
Round(( bilmale * 100 / ( jumall ) ), 2) PERCENT,
( jds ) * 100 / ( jumall ) AS p_jdk
FROM (SELECT Timestamp(X.createdate)
dattime
,
Upper(Date_format(X.createdate, '%d %M %Y')) AS
datenegeri,
X.state,
Upper(CASE
WHEN g.ns_fender_desc = 'male' THEN 'LELAKI'
WHEN g.ns_fender_desc = 'female' THEN 'PEREMPUAN'
ELSE g.ns_fender_desc
END) jantina
,
Sum(CASE
WHEN X.male = 1 THEN 1
WHEN X.male = 0 THEN 1
ELSE 0
END) bilmale
,
(SELECT Sum(CASE
WHEN Y.male = 1 THEN 1
WHEN Y.male = 0 THEN 1
ELSE 0
END) bilmale
FROM xyuser_userext Y
JOIN tnsstate TS
ON TS.ns_state_id = Y.state
LEFT JOIN tnsgender g
ON g.ns_gender_id = Y.male
WHERE Y.statususerext IN ( '0', '1', '2', '5' )
AND Y.state = X.state
AND Date_format(X.createdate, '%d %M %Y') =
Date_format(Y.createdate, '%d %M %Y')
GROUP BY TS.ns_state_desc,
Date_format(X.createdate, '%d %M %Y')) jds,
(SELECT Sum(CASE
WHEN Y.male = 1 THEN 1
WHEN Y.male = 0 THEN 1
ELSE 0
END) bilmale
FROM xyuser_userext Y
JOIN tnsstate TS
ON TS.ns_state_id = Y.state
LEFT JOIN tnsgender g
ON g.ns_gender_id = Y.male
WHERE Y.statususerext IN ( '0', '1', '2', '5' ))jumall
FROM xyuser_userext X
JOIN tnsstate TS
ON TS.ns_state_id = X.state
LEFT JOIN tnsgender g
ON g.ns_gender_id = X.male
WHERE X.statususerext IN ( '0', '1', '2', '5' )
GROUP BY TS.ns_state_desc,
Date_format(X.createdate, '%d %M %Y'),
X.male
ORDER BY 1 ASC) AS A) AS b


If you round only the result and not the individual items, it will be more accurate. Try using SELECT Round(Sum(percent), 2) and remove the Round from the percent calculation in the WHERE clause.

Related

Convert mysql to doctrine

I have the following MySQL query
select a.*, d.*, p.*, pow.* from appointment a
left join doctor d on d.id = a.doctor_id
left join patient p on p.id = a.patient_id
left join point_of_work pow on pow.id = a.point_of_work_id
where (doctor_id, patient_id, date) = (
select doctor_id, patient_id,
coalesce(
min(case when date > curdate() then date end),
max(case when date < curdate() then date end)
) date
from appointment
where (doctor_id, patient_id) = (a.doctor_id, a.patient_id)
)
and d.external_id = 1
And I am trying to convert it to DQL.
Right now I come to this version of DQL but it seems I'am doing something (or maybe more things:( wrong)
$expr = $this->getEntityManager()->getExpressionBuilder();
$queryBuilder = $this->createQueryBuilder('a')
->leftJoin(Doctor::class, 'd')
->leftJoin(Patient::class, 'p')
->leftJoin(PointOfWork::class, 'pow')
->where(
$expr->eq('doctorId, patient_id, date',
$this->createQueryBuilder('a')
->select(Appointment::class . ',
coalesce(
min(case when date > curdate() then date end),
max(case when date < curdate() then date end)
) date'
)
->where ('(doctorId, patientId) = (a.doctorId, a.patientId)')
)
)
->andWhere('d.externalId = :externalId')
->setParameter('externalId', $doctorExternalId)
->setMaxResults($limit)
->setFirstResult($offset);
What approaches do I need for the DQL conversion?

Explain me ways to understand this complex query

Can anyone help me to understand this big sql query. How do I break it down in small chunks to understand it ?
select t.Instrument as Instrument ,ClearingId as ClearingId,
ISNULL( PrevQty ,0) AS PrevQty,SettlePrice,
ISNULL(TodayBuyQty,0) as TodayBuyQty,
ISNULL( TodaySellQty ,0) AS TodaySellQty,
ISNULL(PrevQty +TodayBuyQty-TodaySellQty,0) as NetQty,
TodayBuyPrice, TodaySellPrice,LTP,PnL,Token
from
(
select Instrument,w.ClearingId as ClearingId,
ISNULL( PrevQty ,0) AS PrevQty,ISNULL(TodayBuyQty,0) as TodayBuyQty,
ISNULL( TodaySellQty ,0) AS TodaySellQty,
TodayAvgBuyPrice as TodayBuyPrice,TodayAvgSellPrice as TodaySellPrice,
LTP,PnL,w.Token
from
(
select Symbol as Instrument, ClearingId,
ISNULL(TodayBuyQty,0) as TodayBuyQty,
TodayAvgBuyPrice,
ISNULL( -TodaySellQty ,0) AS TodaySellQty,
TodayAvgSellPrice, NULL as LTP ,NULL as PnL ,
w.Token as Token
from
(
select Token, sum(Qty) as NetPositionQty, ClearingId,
sum(CASE WHEN Qty < 0 THEN Qty ELSE 0 END) as TodaySellQty,
sum(CASE WHEN Qty > 0 THEN Qty ELSE 0 END) as TodayBuyQty,
sum(CASE WHEN Qty < 0 THEN Qty * Price ELSE 0 END)
/
NULLIF(sum(CASE WHEN Qty < 0 THEN Qty ELSE 0 END), 0) as TodayAvgSellPrice,
sum(CASE WHEN Qty > 0 THEN Qty * Price ELSE 0 END)
/
NULLIF(sum(CASE WHEN Qty > 0 THEN Qty ELSE 0 END), 0) as TodayAvgBuyPrice
from
(
select m.Token,
(CASE WHEN ClearingId = 'SATP' THEN 'STRAITS' ELSE CASE WHEN ClearingId = 'BATP' THEN 'BPI' ELSE 'UOB' END END ) as ClearingId ,
Price/CAST(Multiplier AS float ) as Price,Qty
from
(
select Token , Exchange as ClearingId ,
LastTradePrice as Price ,
CASE WHEN Side = 'S' THEN -LastTradeQuantity ELSE LastTradeQuantity END as Qty
from Strategy_Orders
where ExchangeStatus in (9,10) )m
JOIN TokenMap t ON ( m.Token = t.Token)
UNION ALL
select m.Token, (CASE WHEN ClearingId = 'SATP' THEN 'STRAITS' ELSE CASE WHEN ClearingId = 'BATP' THEN 'BPI' ELSE 'UOB' END END ) as ClearingId ,
Price/CAST(Multiplier AS float ) as Price,
Qty
from
(
select Token , Exchange as ClearingId ,
LastTradePrice as Price ,
CASE WHEN Side = 'S' THEN -LastTradeQuantity ELSE LastTradeQuantity END as Qty
from Manual_Orders
where ExchangeStatus in (9,10) )m
JOIN TokenMap t ON ( m.Token = t.Token)
UNION ALL
select Token , ClearingId , TodayBuyPrice ,
TodayBuyQty as Qty
from EOD_Holdings
where CurrentDate =
( select top 1 CurrentDAte from EOD_Holdings
order by CurrentDAte desc
)
UNION ALL
select Token , ClearingId , TodaySellPrice ,
TodaySellQty as Qty
from EOD_Holdings
where CurrentDate = (
select top 1 CurrentDAte from EOD_Holdings
order by CurrentDAte desc
)
) x
group by Token,ClearingId) w
JOIN(select Token, Symbol from TokenMAp ) h on w.Token = h.Token
) w
FULL OUTER JOIN(
select Token, PrevQty , ClearingId
from EOD_Holdings
where CurrentDate = ( select top 1 CurrentDAte from EOD_Holdings order by CurrentDAte desc
)
) h
on w.Token = h.Token and w.ClearingId = h.ClearingId
)t
JOIN (
select * from LatestSettlePrices
) sp
on t.Instrument = sp.Instrument

You can break the query into chunks by looking at each subquery ("select ..." ) separately and running them to see the results. You need to start with the innermost queries that do not have other select statements in the "from" or "where" clause.
Also note that this query does not seem to be a clear, neither an optimal solution.
You would want to avoid using full outer joins and union all statements for the best performance.

How can I make this SQL query more elegant?

This is my MySQL query for getting count values...
SELECT 1 AS id,
'2016' AS Year,
MAX( IF( Month = '01', Count, 0 ) ) AS 'VAL01',
MAX( IF( Month = '02', Count, 0 ) ) AS 'VAL02',
MAX( IF( Month = '03', Count, 0 ) ) AS 'VAL03',
MAX( IF( Month = '04', Count, 0 ) ) AS 'VAL04',
MAX( IF( Month = '05', Count, 0 ) ) AS 'VAL05',
MAX( IF( Month = '06', Count, 0 ) ) AS 'VAL06',
MAX( IF( Month = '07', Count, 0 ) ) AS 'VAL07',
MAX( IF( Month = '08', Count, 0 ) ) AS 'VAL08',
MAX( IF( Month = '09', Count, 0 ) ) AS 'VAL09',
MAX( IF( Month = '10', Count, 0 ) ) AS 'VAL10',
MAX( IF( Month = '11', Count, 0 ) ) AS 'VAL11',
MAX( IF( Month = '12', Count, 0 ) ) AS 'VAL12',
SUM( Count ) AS Total
FROM ( SELECT DATE_FORMAT( created_at, '%m' ) AS Month,
COUNT( 1 ) AS Count
FROM reservations
WHERE DATE_FORMAT( created_at, '%Y' ) = '2016'
GROUP BY DATE_FORMAT( created_at, '%m' )
) AS T1
UNION
SELECT 2 AS id,
'2017' AS Year,
MAX( IF( Month = '01', Count, 0 ) ) AS 'VAL01',
MAX( IF( Month = '02', Count, 0 ) ) AS 'VAL02',
MAX( IF( Month = '03', Count, 0 ) ) AS 'VAL03',
MAX( IF( Month = '04', Count, 0 ) ) AS 'VAL04',
MAX( IF( Month = '05', Count, 0 ) ) AS 'VAL05',
MAX( IF( Month = '06', Count, 0 ) ) AS 'VAL06',
MAX( IF( Month = '07', Count, 0 ) ) AS 'VAL07',
MAX( IF( Month = '08', Count, 0 ) ) AS 'VAL08',
MAX( IF( Month = '09', Count, 0 ) ) AS 'VAL09',
MAX( IF( Month = '10', Count, 0 ) ) AS 'VAL10',
MAX( IF( Month = '11', Count, 0 ) ) AS 'VAL11',
MAX( IF( Month = '12', Count, 0 ) ) AS 'VAL12',
SUM( Count ) AS Total
FROM ( SELECT DATE_FORMAT( created_at, '%m' ) AS Month,
COUNT( 1 ) AS Count
FROM reservations
WHERE DATE_FORMAT( created_at, '%Y' ) = '2017'
GROUP BY DATE_FORMAT( created_at, '%m' )
) AS T2
It returns (for example)...
+----+------+-------+-------+-------+-------+-------+-------+-----+-------+-------+
| id | Year | VAL01 | VAL02 | VAL03 | VAL04 | VAL05 | VAL06 | ... | VAL12 | Total |
+----+------+-------+-------+-------+-------+-------+-------+-----+-------+-------+
| 1 | 2016 | 0 | 0 | 150 | 190 | 200 | 220 | ... | 160 | 1242 |
+----+------+-------+-------+-------+-------+-------+-------+-----+-------+-------+
| 2 | 2017 | 300 | 300 | 600 | 600 | 700 | 0 | ... | 0 | 2500 |
+----+------+-------+-------+-------+-------+-------+-------+-----+-------+-------+
My query has many problems. It can't use the year 2018 and it should use UNION again and again.
How can I make my SQL query more beautiful?

Try this
select
date_format(created_at,'%Y') as Year,
sum(case when date_format(created_at,'%m')='01' then 1 else 0 end) as val01,
sum(case when date_format(created_at,'%m')='02' then 1 else 0 end) as val02,
sum(case when date_format(created_at,'%m')='03' then 1 else 0 end) as val03,
sum(case when date_format(created_at,'%m')='04' then 1 else 0 end) as val04,
sum(case when date_format(created_at,'%m')='05' then 1 else 0 end) as val05,
sum(case when date_format(created_at,'%m')='06' then 1 else 0 end) as val06,
sum(case when date_format(created_at,'%m')='07' then 1 else 0 end) as val07,
sum(case when date_format(created_at,'%m')='08' then 1 else 0 end) as val08,
sum(case when date_format(created_at,'%m')='09' then 1 else 0 end) as val09,
sum(case when date_format(created_at,'%m')='10' then 1 else 0 end) as val10,
sum(case when date_format(created_at,'%m')='11' then 1 else 0 end) as val11,
sum(case when date_format(created_at,'%m')='12' then 1 else 0 end) as val12,
count(*) as total
from reservations
group by date_format(created_at,'%Y')

You can try with below query
SELECT YEAR,SUM(VAL01) VAL02,SUM(VAL02) VAL02,SUM(VAL03) VAL3
FROM
(
SELECT date_format(created_at,'%Y') YEAR,
CASE WHEN date_format(created_at,'%m')=1 THEN 1 ELSE 0 END AS VAL01,
CASE WHEN date_format(created_at,'%m')=2 THEN 1 ELSE 0 END AS VAL02,
CASE WHEN date_format(created_at,'%m')=3 THEN 1 ELSE 0 END AS VAL03
FROM reservations
)t
GROUP BY YEAR
Hope this will helps.

If this had been Oracle, you could have used Function based index on column Created_at and using the same function (EXTRACT in this case) in your query:
CREATE INDEX IDX1 ON RESERVATIONS (EXTRACT(YEAR FROM CREATED_AT))
Since, this is MySQL, try using this as alternative. Make sure after creating the index, it is getting used by verifying the Query plan.

You could try this query
SELECT id,
Year,
SUM(CASE WHEN Month='01' THEN MonthCount ELSE 0 END) AS 'VAL01',
SUM(CASE WHEN Month='02' THEN MonthCount ELSE 0 END) AS 'VAL02',
SUM(CASE WHEN Month='03' THEN MonthCount ELSE 0 END) AS 'VAL03',
SUM(CASE WHEN Month='04' THEN MonthCount ELSE 0 END) AS 'VAL04',
SUM(CASE WHEN Month='05' THEN MonthCount ELSE 0 END) AS 'VAL05',
SUM(CASE WHEN Month='06' THEN MonthCount ELSE 0 END) AS 'VAL06',
SUM(CASE WHEN Month='07' THEN MonthCount ELSE 0 END) AS 'VAL07',
SUM(CASE WHEN Month='08' THEN MonthCount ELSE 0 END) AS 'VAL08',
SUM(CASE WHEN Month='09' THEN MonthCount ELSE 0 END) AS 'VAL09',
SUM(CASE WHEN Month='10' THEN MonthCount ELSE 0 END) AS 'VAL10',
SUM(CASE WHEN Month='11' THEN MonthCount ELSE 0 END) AS 'VAL11',
SUM(CASE WHEN Month='12' THEN MonthCount ELSE 0 END) AS 'VAL12',
SUM(MonthCount) AS Total
FROM (
SELECT
CASE
WHEN Date_format(created_at, '%Y') = '2016' THEN 1
WHEN Date_format(created_at, '%Y') = '2017' THEN 2
WHEN Date_format(created_at, '%Y') = '2018' THEN 3
END AS id,
Date_format(created_at, '%Y') AS Year,
Date_format(created_at, '%m') AS Month,
COUNT(1) AS MonthCount
FROM reservations
WHERE Date_format(created_at, '%Y') IN ('2016', '2017', '2018')
GROUP BY Date_format(created_at, '%Y-%m')) AS ByMonth
GROUP BY id, Year

Case in where condition to calculate individual totals

select
Count(*)
from gl
join TRVMAINDATA msit
on gl.TRANSACTIONID = msit.CHARGETRANSACTIONID
where gl.CREATEDDATETIME >= DATEADD(MONTH,-2,getdate()) AND
datediff(DAY,gl.BUSINESSPROCESSDATE,gl.CREATEDDATETIME)>=4 AND
gl.MARKETCODE In('535','532','056','050','039','036','034','033','030','029','027','023','022','021','018','015','012','011','010','009','007','006','005','002','001' ) and DATEADD(MONTH,DATEDIFF(MONTH,0,gl.CREATEDDATETIME),0) = '2/1/2017 12:00:00 AM'
The above code gives the total for market code mentioned.
But i also want the market code for other code which doesn't belog here. for example
select
Count(*)
from gl
join TRVMAINDATA msit
on gl.TRANSACTIONID = msit.CHARGETRANSACTIONID
where gl.CREATEDDATETIME >= DATEADD(MONTH,-6,getdate()) AND
datediff(DAY,gl.BUSINESSPROCESSDATE,gl.CREATEDDATETIME)>=0
and
DATEADD(MONTH,DATEDIFF(MONTH,0,gl.CREATEDDATETIME),0) = '2/1/2017 12:00:00 AM'
AND
(case
when gl.MARKETCODE In('535','532','056','050','039','036','034','033','030','029','027','023','022','021','018','015','012','011','010','009','007','006','005','002','001') then 'Proprietary'
when gl.MARKETCODE='037' then 'US'
else 'partner'
end )
Is it possible to calculate totals of other market codes in one sql query or do i have to calculate individually?

I think you would like to do count with case when in select statement like this:
SELECT COUNT(CASE
WHEN gl.marketcode IN ( '535', '532', '056', '050',
'039', '036', '034', '033',
'030', '029', '027', '023',
'022', '021', '018', '015',
'012', '011', '010', '009',
'007', '006', '005', '002', '001' ) THEN 1
ELSE NULL
END) AS `Proprietary`,
COUNT(CASE
WHEN gl.marketcode = '037' THEN 1
ELSE NULL
END) AS `US`,
COUNT(CASE
WHEN gl.marketcode NOT IN ( '535', '532', '056', '050',
'039', '036', '034', '033',
'030', '029', '027', '023',
'022', '021', '018', '015',
'012', '011', '010', '009',
'007', '006', '005', '002',
'001', '037' ) THEN 1
ELSE NULL
END) AS `partner`
FROM gl
JOIN trvmaindata msit
ON gl.transactionid = msit.chargetransactionid
WHERE gl.createddatetime >= DATEADD(month, -2, GETDATE())
AND DATEDIFF(day, gl.businessprocessdate, gl.createddatetime) >= 4
AND DATEADD(month, DATEDIFF(month, 0, gl.createddatetime), 0) = '2/1/2017 12:00:00 AM'

Multiply count for many items in query

This is my query:
SELECT
`i`.`itemtype` AS `Item`,
`p`.`name`
SUM(`i`.`count`) AS `Count`
FROM `player_items` AS `i`
LEFT JOIN `players` AS `p` ON (`p`.`id` = `i`.`player_id`)
WHERE `i`.`itemtype` IN (2148, 2152, 2160)
AND `i`.`player_id` = " . intval ( $main_Char->getId() ) . "
GROUP BY `i`.`itemtype`
LIMIT 0, 30;
Is there a possibility to multiple a count for each items it select? I mean WHERE
i.itemtypeIN (2148, 2152, 2160)
It does SUM the count of all items of ID: 2148, 2152, 2160 I need it to do the same but additionally multiply the count of each item: 2148 * 10, 2152 * 1000, 2160 * 10000 and then display the results in the Count row.

Yes, you can SUM multiple columns at once:
SELECT i.itemtype AS Item
, p.name
, SUM(CASE
WHEN itemtype = 2148 THEN i.count
ELSE 0
END) * 10 AS Count
, SUM(CASE
WHEN itemtype = 2152 THEN i.count
ELSE 0
END) * 1000 AS Count1
, SUM(CASE
WHEN itemtype = 2160 THEN i.count
ELSE 0
END) * 10000 AS Count2
FROM player_items AS i
LEFT JOIN players AS p ON i.player_id = p.id
WHERE i.itemtype IN (2148, 2152, 2160)
GROUP BY i.itemtype ASC
LIMIT 0, 30
To SUM those three columns together, you could:
SELECT t.itemType AS Item, t.Count, t.Count1, t.Count2
, SUM(t.Count1, t.Count2, t.Count3) AS Total
FROM
(
SELECT i.itemtype AS Item
, p.name
, SUM(CASE
WHEN itemtype = 2148 THEN i.count
ELSE 0
END) * 10 AS Count
, SUM(CASE
WHEN itemtype = 2152 THEN i.count
ELSE 0
END) * 1000 AS Count1
, SUM(CASE
WHEN itemtype = 2160 THEN i.count
ELSE 0
END) * 10000 AS Count2
FROM player_items AS i
LEFT JOIN players AS p ON i.player_id = p.id
WHERE i.itemtype IN (2148, 2152, 2160)
GROUP BY i.itemtype ASC
LIMIT 0, 30
) AS t
Or you could add another CASE
SELECT i.itemtype AS Item
, p.name
, SUM(CASE
WHEN itemtype = 2148 THEN i.count
ELSE 0
END) * 10 AS Count
, SUM(CASE
WHEN itemtype = 2152 THEN i.count
ELSE 0
END) * 1000 AS Count1
, SUM(CASE
WHEN itemtype = 2160 THEN i.count
ELSE 0
END) * 10000 AS Count2
, SUM(CASE
WHEN itemtype = 2148 THEN (i.count * 10)
WHEN itemtype = 2152 THEN (i.count * 1000)
WHEN itemtype = 2160 THEN (i.count * 10000)
ELSE 0
END) AS Total
FROM player_items AS i
LEFT JOIN players AS p ON i.player_id = p.id
WHERE i.itemtype IN (2148, 2152, 2160)
GROUP BY i.itemtype ASC
LIMIT 0, 30

It's not very clear what you want. Perhaps this:
SUM(i.`count`) * COUNT(*) AS `Count`
or this:
SUM(i.`count`) * i.itemtype AS `Count`