I have a table events as follows:
f_id leg
1 1
2 1
3 1
4 2
5 2
6 3
7 1
8 1
9 2
I want a running total of every time the leg changes. Expected output:
f_id leg total_legs
1 1 1
2 1 1
3 1 1
4 2 2
5 2 2
6 3 3
7 1 4
8 1 4
9 2 5
Not sure how to go about this.
SELECT *, #leg_var:=IF(#current_leg=leg, leg) as total_legs FROM `events`
This is clearly wrong.
WITH cte AS ( SELECT *, CASE WHEN LAG(leg) OVER (ORDER BY f_id) = leg
THEN 0
ELSE 1
END lag_leg
FROM test )
SELECT f_id, leg, SUM(lag_leg) OVER (ORDER BY f_id) total_legs
FROM cte;
fiddle
This is a kind of gaps-and-islands problem. In MySQL 8.0, you can use lag() and a cumulative sum():
select fid, leg, sum(not leg <=> lag_leg) over(order by f_id) total_legs
from (
select e.*, lag(leg) over(order by f_id) lag_leg
from events e
) e
The problem can be solved without window functions using variables:
SET #leg_var:=null;
SET #total:=0;
SELECT
f_id,
#leg_var prev_leg,
#total:=#total+if(#leg_var is null or #leg_var<>leg, 1, 0) as total,
#leg_var:=leg as leg
FROM events
ORDER BY f_id;
fiddle here
Related
I the following table:
ID TIMESLOT_ID SLOTS_AVAILABLE
1 1 10
2 3 2
3 8 3
4 9 10
5 2 10
6 6 10
7 4 10
I want to perform a query where I can get all rows where SLOTS_AVAILABLE is equal or greater than (user_input_1) AND the next (user_input_2) consecutive rows following to that one meet the same condition (SLOTS_AVAILABLE is equal or greater than (user_input_1))
So if (user_input_1) is 3 and (user_input_2) is 3 the result would be:
ID TIMESLOT_ID SLOTS_AVAILABLE
3 8 3
4 9 10
Hmmm . . . If I understand correctly, you want window functions:
select t.*
from (select t.*,
sum(case when slots_available >= :user_input_1 then 1 else 0 end) over
(order by id
rows between current row and :user_input_2 following
) as cnt
from t
) t
where cnt = :user_input_2 + 1;
This requires MySQL 8+.
Here is a db<>fiddle.
I have the following two tables:
sport_a_statistics:
id team_id game_id points
1 1 1 7
2 2 1 8
3 3 2 6
4 1 2 9
sport_b_statistics:
id team_id game_id points
1 1 3 2
2 2 3 1
3 3 4 3
4 1 4 10
I want to calculate the win/loss ratio for each team. This includes making sure to capture the wins and losses from both sport tables since my tournament involves 2 sports. So the output I'm looking for is the following:
team_id wins loss ratio
1 3 1 3.0
2 1 1 1.0
3 0 2 0.0
I can't wrap my head around how I would do this in one query.
Assuming you have no ties, you can use window functions and union all:
select team_id,
sum(points = max_points) as num_wins,
sum(points < max_points) as num_losses,
sum(points = max_points) / nullif(sum(points < max_points), 0) as ratio
from ((select a.*, max(points) over (partition by game_id) as max_points
from sport_a a
) union all
(select b.*, max(points) over (partition by game_id) as max_points
from sport_b b
)
) ab
group by team_id
Made a small edit ^
Below is my table let's call account
**ID accountID score tracking_date
1 1 3 2014-09-25 00:01:05
2 2 4 2014-09-26 01:05:18
3 1 6 2014-09-27 09:23:05
4 2 9 2014-09-28 20:01:05
5 1 1 2014-09-28 23:21:34
6 3 7 2014-09-21 00:01:00
7 2 1 2014-09-22 01:45:24
8 2 9 2014-09-27 14:01:43
9 3 1 2014-09-24 22:01:27
I want to select record with max date and also the difference of score with the records having tracking_date as minimum for that accountId. So I want output like below
ID accountID score_with_maxdate diff_score_with_mindate max_tracking_date
1 1 1 -2 2014-09-28 23:21:34
2 2 9 8 2014-09-28 20:01:05
3 3 1 -6 2014-09-24 22:01:27
Any help?
Here is one option. We can self-join a subquery which finds both the min and max tracking dates, for each account, twice to your original table. This will bring in all metadata for those max tracking date records, including the scores.
SELECT
t1.accountID,
t2.score AS score_with_maxdate,
t2.score - t3.score AS diff_score_with_mindate,
t1.max_tracking_date
FROM
(
SELECT
accountID,
MAX(tracking_date) AS max_tracking_date,
MIN(tracking_date) AS min_tracking_date
FROM yourTable
GROUP BY accountID
) t1
INNER JOIN yourTable t2
ON t1.accountId = t2.accountID AND t2.tracking_date = t1.max_tracking_date
INNER JOIN yourTable t3
ON t1.accountId = t3.accountID AND t3.tracking_date = t1.min_tracking_date
ORDER BY
t1.accountID;
Demo
This is a somewhat tricky question. I think conditional aggregation is a convenient way to solve the problem:
select min(t.id) as id, t.accountId,
max(case when t.tracking_date = t2.max_td then t.score end) as score_with_maxdate,
max(case when t.tracking_date = t2.max_td then t.score
when t.tracking_date = t2.min_td then - t.score
end) as diff_score_with_mindate,
max(t.tracking_date) as max_tracking_date
from t join
(select t2.accountId, min(t2.tracking_date) as min_td, max(t2.tracking_date) as max_td
from t t2
group by t2.accountId
) t2
on t.accountId = t2.accountId
group by t.accountId;
Another hackish way of getting same results by using aggregate and string fucntion
select t.accountID,
t.score_with_maxdate,
t.score_with_maxdate - t.score_with_mindate score_with_maxdate,
t.max_tracking_date
from(
select accountID,
substring_index(group_concat(score order by tracking_date desc),',', 1) + 0 score_with_maxdate,
substring_index(group_concat(score order by tracking_date asc),',', 1) + 0 score_with_mindate,
max(tracking_date) max_tracking_date
from demo
group by accountID
) t
Demo
But i would suggest you to go with other solutions mentioned by Tim & Gordon
I have data in a table like this:
fgid qty ntid
1 100 10
2 90 10
6 200 11
1 80 11
1 120 12
6 100 12
6 30 13
And i make query :
SELECT fgid, SUM(qty) AS total_qty, COUNT(ntid) AS nt_count FROM sofg
GROUP BY fgid
AND the result is :
fgid total_qty nt_count
1 300 3
2 90 1
6 330 3
Then i want to make the result like this :
no fgid total_qty nt_count
1 1 300 3
2 2 90 1
3 6 330 3
How to do that with a query? where 'no' is (like) autoincrement number.
Try this query.
SELECT
#rownum := #rownum + 1 rownum,
t.*
FROM (SELECT #rownum:=0) r,
(
SELECT fgid, SUM(qty) AS total_qty, COUNT(ntid) AS nt_count FROM sofg GROUP BY fgid
) t;
Basically the same as Dhinakaran's answer, but there's no need to put the whole main query into a subquery. There's no difference to his answer appart from maybe being more pleasing to the eye, but please accept Dhinakaran's answer, as he was faster.
SELECT
#rownum:=#rownum + 1 as rownumber,
fgid,
SUM(qty) AS total_qty,
COUNT(ntid) AS nt_count
FROM sofg
, (select #rownum:=0) v
GROUP BY fgid
I want to make a SQL query that shows me the article that generated most income. (in a shop)
Table = orderrader
rownumber articlenumber ordernumber price amount
1 11 1 8624 3
2 6 1 4794 2
3 17 1 8755 3
4 1 1 7803 1
5 16 1 8987 3
6 10 1 4575 3
7 4 1 8747 1
8 15 1 5439 3
9 11 2 8624 3
10 1 2 7803 1
Following sql statement will return only one articlenumber with max revenue.
Select articlenumber, sum(price*amount) as totalincome
from orderrader
group by articlenumber
order by sum(price*amount) desc LIMIT 1
SELECT articlenumber
FROM orderrader
WHERE (price * amount) = (SELECT MAX(price * amount) FROM orderrader)
This should do the trick, i checked it on my own database. It will give ONLY the one with the highest price*amount
SELECT articlenumber, SUM(price*amount) AS income
FROM table
GROUP BY articlenumber
ORDER BY income DESC
select articlenumber, sum(price*amount) as s from orderrader group by articlenumber order by s desc;