SELECT
t1.user_id,
count(*) total,
sum(case when t1.var1 = 'yes' then 1 else 0 end) as type1,
sum(case when t1.var1 = 'no' then 1 else 0 end) as type2
FROM table as t1
WHERE type1 > 0
GROUP by t1.user_id
ORDER by type1 DESC
LIMIT 100
In result i get rows:
user_id total type1 type2
1 100 80 20
4 120 70 50
6 90 0 90
Tell me please why condition WHERE type1 > 0 not work and how select rows with this condition ?
The WHERE only works on the original value and not on a variable you just made by summing the other values up, you can use HAVING for this:
SELECT
t1.user_id,
count(*) total,
sum(case when t1.var1 = 'yes' then 1 else 0 end) as type1,
sum(case when t1.var1 = 'no' then 1 else 0 end) as type2
FROM table as t1
GROUP by t1.user_id
HAVING type1 > 0
ORDER by type1 DESC
LIMIT 100
See here for another example of using HAVING: http://www.w3schools.com/sql/sql_having.asp
Related
I want to get out the minimum price for categories 1, 2 and 3
I've used
LEAST(MIN(price_reduced),MIN(price))
IFNULL(MIN(price_reduced),MIN(price)) ... WHERE price <> 0 and price_reduced <> 0
Database
id
category
price
price_reduced
1
1
200
100
2
1
300
0
3
1
500
0
4
2
200
150
5
2
125
0
6
3
300
0
7
3
200
90
Output
1 - 100
2 - 125
3 - 90
Thank you
This query will work on all MySQL V4+ :
SELECT Category,
MIN(IF((price_reduced > 0) AND (price_reduced < price), price_reduced, price)) AS P
FROM your_table GROUP BY Category;
Maybe with cte:
WITH cte AS (SELECT category,
MIN(price) AS mp,
MIN(CASE WHEN price_reduced <= 0 THEN 9999 ELSE price_reduced END) pr
FROM mytable
GROUP BY category)
SELECT category, LEAST(mp, pr) AS min_val
FROM cte;
Or without cte but with derived table:
SELECT category, LEAST(mp, pr) AS min_val
FROM (SELECT category,
MIN(price) AS mp,
MIN(CASE WHEN price_reduced <= 0 THEN 9999 ELSE price_reduced END) pr
FROM mytable
GROUP BY category) a;
Or just a single query:
SELECT category,
LEAST(MIN(price),
MIN(CASE WHEN price_reduced <= 0 THEN 9999 ELSE price_reduced END)) AS min_val
FROM mytable
GROUP BY category;
All return the same results.
Demo fiddle
i have this following table
id kelurahan status
1 Pegambiran Netral
2 Pegambiran Netral
3 Kejaksan Positif
4 Kesenden Positif
5 Pegambiran Negatif
i want to get result like this
kelurahan count_positif count_netral count_negatif total
Pegambiran 0 2 1 3
Kejaksan 1 0 0 1
Kesenden 1 0 0 1
i tried this query
SELECT kelurahan,
(SELECT COUNT(status) FROM tbl_monitoring WHERE status = 'Positif' GROUP BY kelurahan LIMIT 1) AS count_positif,
(SELECT COUNT(status) FROM tbl_monitoring WHERE status = 'Netral' GROUP BY kelurahan) AS count_netral,
(SELECT COUNT(status) FROM tbl_monitoring WHERE status = 'Negatif' GROUP BY kelurahan) AS count_negatif,
COUNT(kelurahan) AS total
FROM tbl_monitoring GROUP BY kelurahan
i get the result like this
any help would be appreciated, thanks.
You should use SUM, not COUNT.
Tested on dbfiddle
SELECT
kelurahan,
SUM(CASE WHEN status = 'Positif' THEN 1 ELSE 0 END) AS count_positif,
SUM(CASE WHEN status = 'Netral' THEN 1 ELSE 0 END) AS count_netral,
SUM(CASE WHEN status = 'Negatif' THEN 1 ELSE 0 END) AS count_negatif,
SUM(1) AS total
FROM tbl_monitoring
GROUP BY kelurahan;
I have a table as follows
table_user
id name status flag country
====================================================================================================
1 AB 1 0 US
2 BC 1 0 UK
3 CD 0 0 IN
4 DE 3 0 BR
5 EF 3 0 UK
6 FG 2 0 IN
7 GH 4 0 IN
I want to count the no. of records where
status = 1 as totalactiverecords,
status = 0 as totalinactiverecords,
status = 3 as totalrecentactiverecords,
status = 2 as totalemailnotverifiedrecords,
status = 4 as totalemailverifiedrecords,
, and country is UK, all in a single SELECT statement.
Is there any specific way to do it?
I have thought of something like
SELECT COUNT(*) as totalactiverecords WHERE status=1
COUNT(*) as totalinactiverecordsWHERE status=0,
COUNT(*) as totalemailnotverifiedrecords WHERE status=2,
COUNT(*) as totalrecentactiverecords WHERE status=3,
COUNT(*) as totalemailverifiedrecords WHERE status=4
FROM table_user where country=IN
,but that does not seem to work.
You can try this query:
SELECT count(case status when '1' then 1 else null end) as totalactiverecords,
count(case status when '0' then 1 else null end) as totalinactiverecords,
count(case status when '2' then 1 else null end) as totalemailnotverifiedrecords,
count(case status when '3' then 1 else null end) as totalrecentactiverecords,
count(case status when '4' then 1 else null end) as totalemailverifiedrecords
FROM table_user where country='IN'
I usually use CASE WHEN in this kind of problem:
SELECT sum(case when status = 1 then 1 end) as totalactiverecords,
COUNT sum(case when status = 0 then 1 end) as totalinactiverecords,
COUNT sum(case when status = 2 then 1 end) as totalemailnotverifiedrecord,
COUNT sum(case when status = 3 then 1 end) as totalrecentactiverecords,
COUNT sum(case when status = 4 then 1 end) as totalemailverifiedrecords
FROM table_user where country=IN
This question already has answers here:
Is there an alternative to TOP in MySQL?
(4 answers)
Closed 6 years ago.
SELECT
user_id,
count(*) total,
sum(case when type = 'yes' then 1 else 0 end) as type_1,
sum(case when type = 'no' then 1 else 0 end) as type_2
FROM history
GROUP by user_id
How get TOP 100 rows from this query which have max count type = 'yes' ?
You can use LIMIT to limit the number of results and use an ORDER BY to order it so the results are in descending order of total.
SELECT
user_id,
count(*) total,
sum(case when type = 'yes' then 1 else 0 end) as type_1,
sum(case when type = 'no' then 1 else 0 end) as type_2
FROM history
GROUP by user_id
ORDER BY type_1 DESC
LIMIT 100
You should add WHERE statement to your query to add conditional statement
Also, I can see that you are using mysql, so that means you should order your data by argument descending and limit result to 100
SELECT
user_id,
count(*) total,
sum(case when type = 'yes' then 1 else 0 end) as type_1,
sum(case when type = 'no' then 1 else 0 end) as type_2
FROM history
WHERE type='yes'
GROUP by user_id
ORDER BY total DESC
LIMIT 100
SELECT
user_id,
count(*) total,
sum(case when type = 'yes' then 1 else 0 end) as type_1,
sum(case when type = 'no' then 1 else 0 end) as type_2
FROM history
GROUP by user_id
ORDER by type_1 DESC
LIMIT 100
how can I achieve the desired result in mysql if my table looks like this.
result|year
1 |2011
2 |2011
1 |2011
0 |2011
1 |2012
2 |2012
1 = Won, 2 = lost, 0 = draw
Every year can have multiple values like this. Not sure how I can get the desired result like below.
year won lost draw totalPlayed
2011 2 1 1 3
2012 1 1 0 2
I have tried the following query but does not get the desired result
select year,
league_types.league_name,
sum(if(result = 1,1,0)) as won,
sum(if(result = 0,1,0)) as draw,
sum(if(result = 4,1,0)) as noResult,
sum(if(result = 2,1,0)) as lost,
sum(if(result = 3,1,0)) as tied,
sum(if(result > 0 and result < 4,1,0)) as played
from match_score_card
inner join fixtures on match_score_card.match_id = fixtures.match_id
inner join league_types on fixtures.league_id = league_types.league_id
where
team_id = 1 group by year order by year desc
Here is the SQL Fiddle that demonstrates the following query:
SELECT m.year,
SUM(CASE WHEN m.result = 1 THEN 1 ELSE 0 END) AS 'Won',
SUM(CASE WHEN m.result = 2 THEN 1 ELSE 0 END) AS 'Lost',
SUM(CASE WHEN m.result = 0 THEN 1 ELSE 0 END) AS 'Draw',
COUNT(*) AS 'TotalPlayed'
FROM MyTable AS m
GROUP BY m.year
I'm not familiar with that IF function in mySQL, but this standard SQL should work:
select year
, league_types.league_name
, sum(CASE WHEN result = 1 THEN 1 ELSE 0 END) as won
, sum(CASE WHEN result = 2 THEN 1 ELSE 0 END) as lost
, sum(CASE WHEN result = 3 THEN 1 ELSE 0 END) as draw
, sum(CASE WHEN result = 4 THEN 1 ELSE 0 END) as noResult
, sum(CASE WHEN result = 1
or result = 2 THEN 1 ELSE 0 END) as played
from match_score_card
inner join fixtures
on match_score_card.match_id = fixtures.match_id
inner join league_types
on fixtures.league_id = league_types.league_id
where team_id = 1
group by year, league_types.league_name
order by year desc, league_types.league_name
I'm guessing that you only want to count wins and losses as "played".