I have a simple table now I want when I run sql statement it should replace NULL with 0 using mysql
Here is what I have tried so far
SELECT IFNULL(targetbuttonname, 0), sessions.sid, events.datetime, count(*) as num_rows,
count(distinct sessions.sid) as sessions,
sum( targetbuttonname = 'kredyt' ) as num_kredyt,
sum(devicetype ='Computer') as num_computer from events
Now when I run my script it still returns null
Here is DEMO demo
What is wrong with my query statement?
Use COALESCE
SELECT coalesce(NULL,0), sessions.sid, events.datetime, count(*) as num_rows, count(distinct sessions.sid) as sessions,
sum( targetbuttonname = 'kredyt' ) as num_kredyt,
sum( targetbuttonname = 'konto' ) as num_konto,
sum( targetbuttonname = 'czat' ) as num_czat,
sum( targetbuttonname = 'video-voice_btns' ) as num_voice,
sum( targetbuttonname = 'video-close_btn' ) as num_close,
sum( targetbuttonname = 'video-muted_btn' ) as num_muted,
sum( targetbuttonname = 'video-play_btn' ) as num_play,
sum( targetbuttonname = 'video-pause_btn' ) as num_pause,
sum( targetbuttonname = 'video-replay_btn' ) as num_replay,
sum(watchtime) as num_watchtime,
sum(devicetype ='Computer') as num_computer from events INNER JOIN sessions ON (events.sid =sessions.sid) WHERE events.datetime BETWEEN '2019-11-11' AND '2019-11-21'
DEMO: http://sqlfiddle.com/#!9/3cf3cf/10
IFNULL will also work:
SELECT ifnull(targetbuttonname,0), sessions.sid, events.datetime, count(*) as num_rows, count(distinct sessions.sid) as sessions,
sum( targetbuttonname = 'kredyt' ) as num_kredyt,
sum( targetbuttonname = 'konto' ) as num_konto,
sum( targetbuttonname = 'czat' ) as num_czat,
sum( targetbuttonname = 'video-voice_btns' ) as num_voice,
sum( targetbuttonname = 'video-close_btn' ) as num_close,
sum( targetbuttonname = 'video-muted_btn' ) as num_muted,
sum( targetbuttonname = 'video-play_btn' ) as num_play,
sum( targetbuttonname = 'video-pause_btn' ) as num_pause,
sum( targetbuttonname = 'video-replay_btn' ) as num_replay,
sum(watchtime) as num_watchtime,
sum(devicetype ='Computer') as num_computer from events INNER JOIN sessions ON (events.sid =sessions.sid) WHERE events.datetime BETWEEN '2019-11-11' AND '2019-11-21'
Here is the DEMO: http://sqlfiddle.com/#!9/3cf3cf/14
Related
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;
SELECT
gst_journal.*,
salesmain.TransactionNo
FROM
`gst_journal`
LEFT JOIN salesmain
ON (
gst_journal.docNo = salesmain.InvoiceNo
AND gst_journal.Source = salesmain.Source
)
WHERE (
MONTH(salesmain.TDate) = '10'
AND YEAR(salesmain.TDate) = '2013'
AND salesmain.TDate BETWEEN STR_TO_DATE('2013-10-01', '%Y-%m-%d')
AND STR_TO_DATE('2013-10-31', '%Y-%m-%d')
AND (
(
gst_journal.inOutTax = 'OUT'
AND gst_journal.taxType IN ('SR', 'GST')
AND gst_journal.Source IN ('AR', 'NR', 'BR', 'PR', 'JV', 'CR')
)
)
)
OR (
MONTH(gst_journal.TDate) = '10'
AND YEAR(gst_journal.TDate) = '2013'
AND (
gst_journal.TDate BETWEEN STR_TO_DATE('2013-10-01', '%Y-%m-%d')
AND STR_TO_DATE('2013-10-31', '%Y-%m-%d')
AND (
gst_journal.taxType = 'SR'
AND gst_journal.Source IN ('BR')
)
)
)
ORDER BY gst_journal.Tdate,
salesmain.TDate ;
this query run properly and records give correct but it take to time run.
Any one help to optimize time query.
Thanks
SELECT sum( plot_status = 'OPEN' ) AS OPEN
, sum( plot_status = 'SOLD' ) AS SOLD
FROM `tbl_plot`
GROUP BY `plot_status
This is giving
OPEN SOLD
7 0
0 8
How to make it
OPEN SOLD
7 8
Or is it possible?
just remove the GROUP BY clause and it will work.
SELECT sum( plot_status = 'OPEN' ) AS `OPEN` ,
sum( plot_status = 'SOLD' ) AS SOLD
FROM `tbl_plot`
If there is present plot_name or id then group by that not by plot_status:
SELECT sum( plot_status = 'OPEN' ) AS
OPEN , sum( plot_status = 'SOLD' ) AS SOLD
FROM `tbl_plot`
GROUP BY //`plot_name or plot_id
This will work for you for individual plot.
And if you don't want that then remove the group by clause.
select * from
(
select sum( plot_status = 'OPEN' FROM tbl_plot ) AS OPEN
select sum( plot_status = 'SOLD' FROM tbl_plot ) As Sold
)tbl
SELECT COUNT( sendbook.id ) AS total, SUM( sendbook.num ) AS num, (
SELECT COUNT( sendbook.id )
FROM sendbook
INNER JOIN clients ON clients.id = sendbook.clientid
WHERE sendbook.issueid = '29'
AND clients.area >1000
AND clients.area <2000
) AS area1000, (
SELECT COUNT( sendbook.id )
FROM sendbook
INNER JOIN clients ON clients.id = sendbook.clientid
WHERE sendbook.issueid = '29'
AND clients.area >2000
AND clients.area <3000
) AS area2000, (
SELECT COUNT( sendbook.id )
FROM sendbook
INNER JOIN clients ON clients.id = sendbook.clientid
WHERE sendbook.issueid = '29'
AND clients.area >3000
AND clients.area <4001
) AS area2000
FROM `sendbook`
WHERE sendbook.issueid = '29'
total num area1000 area2000 area2000
8 438 3 3 2
Do you know a way to simplify this query?
Thinks
you need to use case statement something like this :
SELECT COUNT( sendbook.id ),
(CASE
WHEN clients.area between '1000' and '2000' THEN 1
WHEN clients.area between '2000' and '3000' THEN 2
WHEN clients.area between '3000' and '4000' THEN 3
END) AS myrange FROM mytable
GROUP BY myrange