I have a database of user answers from a quiz which contains 8 questions. Q1 - Q8 all are their own columns, I'd like to compare all the rows and get a number back for everyone who answered the same for at least 5 questions.
so here, rows 5 and 6 would count as 2. Basically I'm trying to get a number for everyone who answered at least 5 questions the same. Is this possible with a mySQL query?
EDIT:
Here the user enters D B D A B C D B, matching with 2 similarly answered quizzes. The query here would return a count of 2.
If we test using just your single line of D B D A B C D B we can use the following example:
SELECT * FROM `answers` WHERE ((CASE WHEN q1 = 'D' THEN 1 ELSE 0 END) +
(CASE WHEN q2 = 'B' THEN 1 ELSE 0 END) +
(CASE WHEN q3 = 'D' THEN 1 ELSE 0 END) +
(CASE WHEN q4 = 'A' THEN 1 ELSE 0 END) +
(CASE WHEN q5 = 'B' THEN 1 ELSE 0 END) +
(CASE WHEN q6 = 'C' THEN 1 ELSE 0 END) +
(CASE WHEN q7 = 'D' THEN 1 ELSE 0 END) +
(CASE WHEN q8 = 'B' THEN 1 ELSE 0 END)) >= 5;
However, if we then want to go a step further and test each answer against the other answers in the table we can use the following statement:
SELECT *, (SELECT COUNT(answer_sub.idanswers) FROM `answers` answer_sub
WHERE ((CASE WHEN answer_sub.q1 = a.q1 THEN 1 ELSE 0 END) +
(CASE WHEN answer_sub.q2 = a.q2 THEN 1 ELSE 0 END) +
(CASE WHEN answer_sub.q3 = a.q3 THEN 1 ELSE 0 END) +
(CASE WHEN answer_sub.q4 = a.q4 THEN 1 ELSE 0 END) +
(CASE WHEN answer_sub.q5 = a.q5 THEN 1 ELSE 0 END) +
(CASE WHEN answer_sub.q6 = a.q6 THEN 1 ELSE 0 END) +
(CASE WHEN answer_sub.q7 = a.q7 THEN 1 ELSE 0 END) +
(CASE WHEN answer_sub.q8 = a.q8 THEN 1 ELSE 0 END)) >= 5
AND answer_sub.idanswers <> a.idanswers) as matching
FROM `answers` a
WHERE (SELECT COUNT(answer_sub.idanswers) FROM `answers` answer_sub
WHERE ((CASE WHEN answer_sub.q1 = a.q1 THEN 1 ELSE 0 END) +
(CASE WHEN answer_sub.q2 = a.q2 THEN 1 ELSE 0 END) +
(CASE WHEN answer_sub.q3 = a.q3 THEN 1 ELSE 0 END) +
(CASE WHEN answer_sub.q4 = a.q4 THEN 1 ELSE 0 END) +
(CASE WHEN answer_sub.q5 = a.q5 THEN 1 ELSE 0 END) +
(CASE WHEN answer_sub.q6 = a.q6 THEN 1 ELSE 0 END) +
(CASE WHEN answer_sub.q7 = a.q7 THEN 1 ELSE 0 END) +
(CASE WHEN answer_sub.q8 = a.q8 THEN 1 ELSE 0 END)) >= 5
AND answer_sub.idanswers <> a.idanswers) > 0
Because FALSE is 0 and TRUE is 1 in MySQL:
SELECT COUNT(*)
FROM quiz
WHERE ( (q1=#q1) + (q2=#q2) + (q3=#q3) + (q4=#q4)
+ (q5=#q5) + (q6=#q6) + (q7=#q7) + (q8=#q8)
) >= 5
Related
I am trying to convert a raw SQL query into eloquent and I am struggling with the join part as it gets quite complex.
I have got as far as the joins but I am looking at the documentation and struggling to work out how to convert the rest.
Here is the raw query
SELECT
SUM(CASE WHEN t2.field_2 = 1 THEN 1 ELSE 0 END) AS 'lead',
SUM(CASE WHEN t2.field_2 = 2 THEN 1 ELSE 0 END) AS 'in_review',
SUM(CASE WHEN t2.field_2 = 3 THEN 1 ELSE 0 END) AS 'pre_app_sent',
SUM(CASE WHEN t2.field_2 = 4 THEN 1 ELSE 0 END) AS 'pre_app_back',
SUM(CASE WHEN t2.field_2 = 5 THEN 1 ELSE 0 END) AS 'pre_app_ok',
SUM(CASE WHEN t2.field_2 = 6 THEN 1 ELSE 0 END) AS 'awaiting_kyc',
SUM(CASE WHEN t2.field_2 = 7 THEN 1 ELSE 0 END) AS 'kyc_complete',
SUM(CASE WHEN t2.field_2 = 8 THEN 1 ELSE 0 END) AS 'awaiting_full_app_data',
SUM(CASE WHEN t2.field_2 = 9 THEN 1 ELSE 0 END) AS 'full_app_sent',
SUM(CASE WHEN t2.field_2 = 10 THEN 1 ELSE 0 END) AS 'merchant_live'
FROM leads l
JOIN (SELECT
ae.id,
ae.model_id,
ae.fields,
TRIM(BOTH '"' FROM SUBSTRING_INDEX(SUBSTRING_INDEX(ae.fields,';', 1), ':', -1)) AS field_1,
TRIM(BOTH '"' FROM SUBSTRING_INDEX(SUBSTRING_INDEX(ae.fields,';', 2), ':', -1)) AS field_2,
ae.created_at
FROM action_events ae) t2
ON l.id = t2.model_id
WHERE t2.created_at >= '2019-01-01 00:00:00'
AND t2.created_at <= '2019-01-31 23:59:59'
And here is as far as I got with converting it to eloquent
$query->select(
DB::raw('SUM(CASE WHEN t2.field_2 = 1 THEN 1 ELSE 0 END) AS "lead"'),
DB::raw('SUM(CASE WHEN t2.field_2 = 2 THEN 1 ELSE 0 END) AS "in_review"'),
DB::raw('SUM(CASE WHEN t2.field_2 = 3 THEN 1 ELSE 0 END) AS "pre_app_sent"'),
DB::raw('SUM(CASE WHEN t2.field_2 = 4 THEN 1 ELSE 0 END) AS "pre_app_back"'),
DB::raw('SUM(CASE WHEN t2.field_2 = 5 THEN 1 ELSE 0 END) AS "pre_app_ok"'),
DB::raw('SUM(CASE WHEN t2.field_2 = 6 THEN 1 ELSE 0 END) AS "awaiting_kyc"'),
DB::raw('SUM(CASE WHEN t2.field_2 = 7 THEN 1 ELSE 0 END) AS "kyc_complete"'),
DB::raw('SUM(CASE WHEN t2.field_2 = 8 THEN 1 ELSE 0 END) AS "awaiting_full_app_data"'),
DB::raw('SUM(CASE WHEN t2.field_2 = 9 THEN 1 ELSE 0 END) AS "full_app_sent"'),
DB::raw('SUM(CASE WHEN t2.field_2 = 10 THEN 1 ELSE 0 END) AS "merchant_live"'));
Given SQL: Is there a way to bring in the total of the result set?
SELECT
SUM(CASE
WHEN status = 3 THEN 1
ELSE 0
END) AS Open,
SUM(CASE
WHEN status = 4 THEN 1
ELSE 0
END) AS Close
FROM
Table1
WHERE
id = 2;
Result:
Open,Close
5,5
Desired Result:
Open,Close,Total
5,5,10
just add another case statement
SELECT
SUM(CASE
WHEN status = 3 THEN 1
ELSE 0
END) AS Open,
SUM(CASE
WHEN status = 4 THEN 1
ELSE 0
END) AS Close
SUM(CASE
WHEN status IN (3, 4) THEN 1
ELSE 0
END) AS Total
FROM
Table1
WHERE
id = 2;
You can use a CTE:
WITH sumCase AS (
SELECT
SUM(CASE
WHEN status = 3 THEN 1
ELSE 0
END) AS Open,
SUM(CASE
WHEN status = 4 THEN 1
ELSE 0
END) AS Close
FROM
Table1
WHERE
id = 2;)
SELECT Open,Close, Open + Close AS Total FROM Table1;
http://www.mysqltutorial.org/mysql-cte/
using sub-query
select open,close,open+close as total from
(
SELECT
SUM(CASE WHEN status = 3 THEN 1
ELSE 0
END ) AS Open,
SUM(CASE WHEN status = 4 THEN 1
ELSE 0
END) AS Close
FROM
Table1
WHERE id = 2 ) as T
My Table structure is as follows
counter1|counter1_status|counter2|counter2_status|counter3|counter3_status|valid_counter
-----------------------------------------------------------------------------------------
5 0 6 1 3 1 XXXX
I want a single update query to update valid_counter as 6 + 3 = 9
As counter1_status = 0, counter1 should not be added
Tried following query, but it gives error.
UPDATE counter_table
SET valid_contact =
SUM((CASE WHEN counter1_status=1 THEN counter1 ELSE 0 END)
+ (CASE WHEN counter2_status=1 THEN counter2 ELSE 0 END)
+ (CASE WHEN counter3_status=1 THEN counter3 ELSE 0 END))
I can get the sum by using SELECT query without any error, but Update query failed.
if you want to conditionally store sum of (counter1,counter2,counter3) in the valid_contace field, you may use:
UPDATE counter_table
SET valid_contact =
(CASE WHEN counter1_status=1 THEN counter1 ELSE 0 END)
+ (CASE WHEN counter2_status=1 THEN counter2 ELSE 0 END)
+ (CASE WHEN counter3_status=1 THEN counter3 ELSE 0 END)
where id=5
UPDATE counter_table AS c1 JOIN
(SELECT id, SUM((CASE WHEN counter1_status=1 THEN counter1 ELSE 0 END)
+ (CASE WHEN counter2_status=1 THEN counter2 ELSE 0 END)
+ (CASE WHEN counter3_status=1 THEN counter3 ELSE 0 END)) AS m
FROM counter_table) AS c2
USING (id)
SET c1.`valid_counter` = c2.m;
Sample fiddle
Finally got the solution for error :
SUM should be removed from the query.
It should be SUM(a,b,c)
or a+b+c.
UPDATE counter_table
SET valid_contact =
((CASE WHEN counter1_status=1 THEN counter1 ELSE 0 END)
+ (CASE WHEN counter2_status=1 THEN counter2 ELSE 0 END)
+ (CASE WHEN counter3_status=1 THEN counter3 ELSE 0 END))
I have a table I need to update. In this table there is a column for each month. If someone's start date is 2/13/2015 I need to update the February column with some data from a calculation.
So if Start_Date is 2/17/2015 then the value for the February column called FTEFeb needs to be populated. If the Start_Date is 3/09/2015 then the FTEMar column needs to be updated etc...
I was thinking a CASE statment would work but the SET column would be different based on the value in Start Date.
I've looked online for anything similar and nothing came up.
Thanks in advance!
You can use a case statement.
For your query, instead of preforming a CASE on the month, just write a case to update each column, and if the column is not the month you want you can set it to 0, or whatever your business rule is. Try this:
UPDATE myTable
SET
FTEJan = (CASE WHEN MONTH(startDate) = 1 THEN 1 ELSE 0 END),
FTEFeb = (CASE WHEN MONTH(startDate) = 2 THEN 1 ELSE 0 END),
FTEMar = (CASE WHEN MONTH(startDate) = 3 THEN 1 ELSE 0 END),
FTEApr = (CASE WHEN MONTH(startDate) = 4 THEN 1 ELSE 0 END),
FTEMay = (CASE WHEN MONTH(startDate) = 5 THEN 1 ELSE 0 END),
FTEJun = (CASE WHEN MONTH(startDate) = 6 THEN 1 ELSE 0 END),
FTEJul = (CASE WHEN MONTH(startDate) = 7 THEN 1 ELSE 0 END),
FTEAug = (CASE WHEN MONTH(startDate) = 8 THEN 1 ELSE 0 END),
FTESep = (CASE WHEN MONTH(startDate) = 9 THEN 1 ELSE 0 END),
FTEOct = (CASE WHEN MONTH(startDate) = 10 THEN 1 ELSE 0 END),
FTENov = (CASE WHEN MONTH(startDate) = 11 THEN 1 ELSE 0 END),
FTEDec = (CASE WHEN MONTH(startDate) = 12 THEN 1 ELSE 0 END);
Here is an SQL Fiddle example.
This MySQL query gives me this error 'Unknown column 'winnings' in 'field list'
SELECT
o.user_id,
sum(case when o.result = 1 or o.result=2 or o.result = 0 then 1 else 0 end) as tahmins_no,
sum(case when o.result = 1 then 1 else 0 end) as winnings,
sum(case when o.result = 2 then 1 else 0 end) as loses,
sum(case when winnings = 10 then 0.5 else 0 end) as counter
FROM `odds_tahminler` o
I know that winnings is the value of the sum() aggregation function, But is there any way to check the winnings value within the query?
You can't use an aggregated column inside the select. However you can use a subquery to obtain the counter value after all the aggregated columns have been computed.
How is the counter value calculated? I assumed that the counter should be (winnings - 10) / 2 if there's at least 10 winnings and 0 otherwise. In that case you can obtain it with this query
SELECT O.*,
GREATEST( (O.winnings - 10) / 2, 0) as counter
FROM
(
SELECT u.username,
o.user_id,
sum(case when o.result = 1 or o.result=2 or o.result = 0 then 1 else 0 end) as tahmins_no,
sum(case when o.result = 1 then 1 else 0 end) as winnings,
sum(case when o.result = 2 then 1 else 0 end) as loses
FROM `odds_tahminler` o
) as O
you can try:
SELECT
o.user_id,
sum(case when o.result = 1 or o.result=2 or o.result = 0 then 1 else 0 end) as tahmins_no,
sum(case when o.result = 1 then 1 else 0 end) as winnings,
sum(case when o.result = 2 then 1 else 0 end) as loses,
sum(case when winnings = 10 then 0.5 else 0 end) as counter
FROM `odds_tahminler` o
GROUP BY o.user_id
HAVING counter>2