I need the following query to return a message, such as "No Result" if the Record Count = 0.
set #ID_CARTERA = 1;
select
LEFT(A.F_ANOTRIMESTRE, 4 ) Year,
RIGHT(A.F_ANOTRIMESTRE, 2 ) Quarter,
ROUND ( A.POR_RENTABILIDAD, 2 ) Quarterly_Yield
from dr_rent_carteras_trimestres A
where A.ID_CARTERA = #ID_CARTERA
And (LEFT(A.F_ANOTRIMESTRE, 4 ) = ( select MAX(left(F_ANOTRIMESTRE, 4 ) ) - 0
from dr_rent_carteras_trimestres
where ID_CARTERA = #ID_CARTERA )
and
RIGHT(A.F_ANOTRIMESTRE, 2 ) = 12)
you can trick the system like this:
generate a query to return COUNT(*). This will always return a row, even if there are zero rows to count
Left join your main query with the COUNT(*) query. Use Case statement to replace the results with "No Results".
So, the resulting query will look like (assumption - the main query returns zero or one record only - thus there is no ON clause in the LEFT JOIN!!!!):
set #ID_CARTERA = 1;
select
CASE cnt WHEN 0 THEN "No Results" ELSE Year END,
Quarter,
Quarterly_Yield
FROM
(select count(*) AS cnt
from dr_rent_carteras_trimestres A
where A.ID_CARTERA = #ID_CARTERA
And (LEFT(A.F_ANOTRIMESTRE, 4 ) = ( select MAX(left(F_ANOTRIMESTRE, 4 ) ) - 0
from dr_rent_carteras_trimestres
where ID_CARTERA = #ID_CARTERA )
and
RIGHT(A.F_ANOTRIMESTRE, 2 ) = 12) ) cnt_tbl
LEFT JOIN
( select
LEFT(A.F_ANOTRIMESTRE, 4 ) Year,
RIGHT(A.F_ANOTRIMESTRE, 2 ) Quarter,
ROUND ( A.POR_RENTABILIDAD, 2 ) Quarterly_Yield
from dr_rent_carteras_trimestres A
where A.ID_CARTERA = #ID_CARTERA
And (LEFT(A.F_ANOTRIMESTRE, 4 ) = ( select MAX(left(F_ANOTRIMESTRE, 4 ) ) - 0
from dr_rent_carteras_trimestres
where ID_CARTERA = #ID_CARTERA )
and
RIGHT(A.F_ANOTRIMESTRE, 2 ) = 12) ) main_tbl
The same thing can be accomplished with UNION. Ask in the comments if you wish me to show how
Related
I get error
SQL Error (1055): Expression #7 of SELECT list is not in GROUP BY clause and contains nonaggregated column 'ifu.amount' which is not functionally dependent on columns in GROUP BY clause; this is incompatible with sql_mode=only_full_group_by
after migrating to mysql 8.0 from 5.6. I know that it can be easily fixed by disabling ONLY_FULL_GROUP_BY flag, but I want it to be more compatible with mysql 8.0. So question is if I would add ifu.amount to GROUP BY it should work perfetcly fine and I won't miss any query results or anything? Now without GROUP BY ifu.amount MySQL code looks like:
select
`i`.`id` AS `institution_id`,
`i`.`name` AS `institution_name`,
`cr`.`check_date` AS `check_date`,
sum(
(
case when (`cr`.`status` = '1') then 1 else 0 end
)
) AS `can_accept`,
sum(
(
case when (`cr`.`status` = '0') then 1 else 0 end
)
) AS `cannot_accept`,(
sum(
(
case when (`cr`.`status` = '1') then 1 else 0 end
)
) + sum(
(
case when (`cr`.`status` = '0') then 1 else 0 end
)
)
) AS `suma`,
`ifu`.`amount` AS `amount`,
round(
(
(
(
(
sum(
(
case when (`cr`.`status` = '1') then 1 else 0 end
)
) * 100
) / (
sum(
(
case when (`cr`.`status` = '1') then 1 else 0 end
)
) + sum(
(
case when (`cr`.`status` = '0') then 1 else 0 end
)
)
)
) * `ifu`.`amount`
) * 0.01
),
2
) AS `financed_amount`
from
(
(
(
`check_results` `cr`
join `family_doctors` `fd` on((`fd`.`id` = `cr`.`doctor_id`))
)
join `institutions` `i` on((`i`.`id` = `fd`.`institution_id`))
)
join `institutions_funding` `ifu` on((`ifu`.`institution_id` = `i`.`id`))
)
where
(`cr`.`status` in (1, 0))
group by
`i`.`id`,
`i`.`name`,
`cr`.`check_date`
Thanks for help in advance!
Include amount in your group by clause.
where
(`cr`.`status` in (1, 0))
group by
`i`.`id`,
`i`.`name`,
`cr`.`check_date`,
`ifu`.`amount`
if amount is excluded on your group by clause, this will get the amount that corresponds on your id, name and check date in ascending order (default).
or
min(`ifu`.`amount`) as `amount`.
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.
I have a question and answers listing and an option to filter the questions based on the % of correct answers. So I am using the following query for the listing :
SELECT
question_id,
text
FROM
test_answers LEFT JOIN test_questions ON test_questions.id = test_answers.question_id
LEFT JOIN test_categories ON test_questions.`category_id` = test_categories.id
WHERE `question_id` IN(question IDS)
GROUP BY `question_id`
ORDER BY `question_id` DESC;
and using another query for finding the question IDS for which the % of correct answers in the given range. The query is as follows :
SELECT q1.question_id FROM (
SELECT test_answers.question_id AS question_id,
SUM( IF( test_answers.correct_answer =1, 1, 0 ) ) AS correct_answers,
SUM( IF( test_answers.correct_answer !=1, 1, 0 ) ) AS incorrect_answers,
round( ( SUM( IF( test_answers.correct_answer =1, 1, 0 ) ) / ( SUM( IF( test_answers.correct_answer =1, 1, 0 ) ) + SUM( IF( test_answers.correct_answer !=1, 1, 0 ) ) ) *100 ) , 2 ) AS percentage
FROM test_replies
JOIN test_answers ON test_replies.answer_id = test_answers.id
GROUP BY test_answers.question_id
HAVING percentage between 80 and 89 AND correct_answers >25
) AS q1
Now the issue is that the second query returns almost 4000 question Ids and it will increase in the near future and might be become 10k or more. So I seriously would like to optimize the query as it is going to impact the performance in a great deal. Can anyone suggest a better method for doing it ?
try join instead of IN, see if it helps. (sql not tested)
SELECT
ta.question_id, text
FROM
(
SELECT test_answers.question_id AS question_id,
SUM( IF( test_answers.correct_answer =1, 1, 0 ) ) AS correct_answers,
SUM( IF( test_answers.correct_answer !=1, 1, 0 ) ) AS incorrect_answers,
round( ( SUM( IF( test_answers.correct_answer =1, 1, 0 ) ) / ( SUM( IF( test_answers.correct_answer =1, 1, 0 ) ) + SUM( IF( test_answers.correct_answer !=1, 1, 0 ) ) ) *100 ) , 2 ) AS percentage
FROM test_replies
JOIN test_answers ON test_replies.answer_id = test_answers.id
GROUP BY test_answers.question_id
HAVING percentage between 80 and 89 AND correct_answers >25
) AS q1
INNER JOIN
test_answers ta USING (question_id)
LEFT JOIN
test_questions ON test_questions.id = ta.question_id
LEFT JOIN
test_categories ON test_questions.`category_id` = test_categories.id
GROUP BY
ta.question_id`
ORDER BY
ta.question_id DESC;
how can i get the result in just one query instead of this one:
SELECT SUM(`quantity`) as type0 FROM `fruits_delivery`
WHERE `fid`='1001' AND `type`=0;
result_1 = type0 ;
SELECT SUM(`quantity`) as type1 FROM `fruits_delivery`
WHERE `fid`='1001' AND `type`=1;
result_2 = type1 ;
final_result = result_1 - result_2;
You should use this
SELECT sum(IF(`type`=0, `quantity`, 0))-sum(IF(`type`=1, `quantity`, 0))
AS `final_result`
FROM `fruits_delivery`
WHERE `fid` = '1001'
sqlfiddle
Old Answer
SELECT T1.result - T2.result AS `final_result`
FROM (SELECT Sum(`quantity`) AS result,
`fid`
FROM `fruits_delivery`
WHERE `fid` = '1001'
AND `type` = 0
LIMIT 1) AS T1
JOIN (SELECT Sum(`quantity`) AS result,
`fid`
FROM `fruits_delivery`
WHERE `fid` = '1001'
AND `type` = 1
LIMIT 1) AS T2
ON ( T1.fid = T2.fid )
SQLFiddle
Alternatively, you can also do it using CASE
SELECT SUM(CASE WHEN type = 0 THEN quantity ELSE 0 END) -
SUM(CASE WHEN type = 1 THEN quantity ELSE 0 END)
AS final_result
FROM fruits_delivery
WHERE fid = '1001'
SQLFiddle Demo
I am writing a query to get the top 10 rated businesses, the number of positive comments for each business, the number of negative comments for each business and the latest comment for each of these businesses.
SELECT comment.bis_id, Sum( Case When comment.rating <= 2 Then 1 Else 0 End ) As NegVotes
, Sum( Case When comment.rating >= 4 Then 1 Else 0 End ) As PosVotes, bis.bis_name
FROM bis, comment
WHERE comment.bis_id = bis.bis_id
GROUP BY bis_id
ORDER BY PosVotes DESC
LIMIT 0, 10";
The above gets positive comments and negative comments, but I can't seem to work out how to get the latest comment as well.
SELECT
c.bis_id
, Sum( Case When c.rating <= 2 Then 1 Else 0 End ) As NegVotes
, Sum( Case When c.rating >= 4 Then 1 Else 0 End ) As PosVotes
, b.bis_name
, cc.last_comment
FROM bis b
INNER JOIN comment c on (c.bis_id = b.bis_id)
INNER JOIN (SELECT c2.bis_id, c2.comment_text as last_comment
FROM comment c2
GROUP BY c2.bis_id
HAVING c2.comment_date = MAX(c2.comment_date) ) cc
ON (cc.bis_id = b.bis_id)
GROUP BY b.bis_id
ORDER BY PosVotes DESC
LIMIT 10 OFFSET 0