I got a User-Information table where every 24 hours a new record is added for each user. This record contains a user_id, a value (a counter) and the creation date.
TBL_EXAMPLE
ID | user_id | cnt_val | record_date
--------------------------------------------
1 | 10 | 46 | 2019-02-05 12:14:35
2 | 21 | 12 | 2019-02-05 12:14:35
3 | 32 | 453 | 2019-02-05 12:14:35
4 | 10 | 23 | 2019-02-06 16:11:21
5 | 21 | 34 | 2019-02-06 16:11:21
6 | 32 | 480 | 2019-02-06 16:11:21
7 | 10 | 31 | 2019-02-07 11:34:25
8 | 21 | 44 | 2019-02-07 11:34:25
9 | 32 | 489 | 2019-02-07 11:34:25
...
Expected Result:
User 10 Counter: 46 .. 31 --> Difference: 15
User 21 Counter: 12 .. 44 --> Difference: 32
User 32 Counter: 453.. 489 --> Difference: 36
I want to make a list of each difference for each specific user from the oldest to the newest data record in the table dynamically.
you could use inner join twice on table_exeple and a subquery for min and max date
select distinct t1.user_id, t1.cnt_va - t2.cnt_val
from (
select user_id , min(date) min_date, max(date) max_date
from TTBL_EXAMPLE
group by user_id
) tmm
inner join TTBL_EXAMPLE t2 ON t2.date = tmm.max_date
and t2.user_id = tmm.user_id
inner join TBL_EXAMPLE t1 ON t1.date = tmm.min_date
and t1.user_id = tmm.user_id
I have two columns coming from my sql query- month, value i.e. values are coming monthwise. My requirement is to club these months in the group of 3 months wise...and the values should come the average of these 3.
Ex.I have following data-
Month Values
Mar-14 50
Apr-14 51
May-14 52
Jun-14 53
Jul-14 54
Aug-14 55
Sep-14 56
Oct-14 57
Nov-14 58
Dec-14 59
Jan-15 60
Feb-15 61
Mar-15 62
Apr-15 63
May-15 64
Jun-15 65
Jul-15 66
Aug-15 67
Sep-15 68
Oct-15 69
Nov-15 70
Dec-15 71
Jan-16 72
Feb-16 73
Mar-16 74
Apr-16 75
May-16 76
Jun-16 77
Jul-16 78
Aug-16 79
Sep-16 80
Oct-16 81
Nov-16 82
Dec-16 83
Jan-17 84
Feb-17 85
Mar-17 86
How can I achieve following output in MySql-
3 Months Clubing Avg of Values
Mar-14 51
Jun-14 54
Sep-14 57
Dec-14 60
Mar-15 63
Jun-15 66
Sep-15 69
Dec-15 72
Mar-16 75
Jun-16 78
Sep-16 81
Thanks in Advance
A bit messy but you could use variables -assuming you have an incrementing id column (or soemthing you can order by)
drop table if exists t;
create table t(id int auto_increment primary key,Month varchar(10), Valus int);
insert into t (month,valus) values
('Mar-14', 50),
('Apr-14', 51),
('May-14', 52),
('Jun-14', 53),
('Jul-14', 54),
('Aug-14', 55),
('Sep-14', 56),
('Oct-14', 57),
('Nov-14', 58),
('Dec-14', 59);
select id,mth,rt
from
(
select id,month,valus,
#count:=#count+1 counter,
if(#count=1,#mth:=month,#mth:=#mth) mth,
if(#count=1,#block:=#block+1,#block:=#block) block,
if(#count<3,#sum:=#sum+valus,#sum:=(#sum+valus) / 3) rt,
if(#count=3,#count:=0,#count:=#count) creset,
if(#count=0,#sum:=0,#sum:=#sum) sumreset
from t
cross join (select #m ='',#count:=0,#sum:=0,#block:=0,#mth:='') s
order by id
)t
where counter = 3;
+----+--------+------+
| id | mth | rt |
+----+--------+------+
| 3 | Mar-14 | 51 |
| 6 | Jun-14 | 54 |
| 9 | Sep-14 | 57 |
+----+--------+------+
3 rows in set (0.03 sec)
Slightly less messy but using sql's avg function and using variables to fill down the first month in a 3 month block
select block,mth,avg(valus)
from
(
select id,month,valus,
#count:=#count+1 counter,
if(#count=1,#mth:=month,#mth:=#mth) mth,
if(#count=1,#block:=#block+1,#block:=#block) block,
if(#count=3,#count:=0,#count:=#count) creset
from t
cross join (select #block:=0,#count:=0,#mth:='') s
order by id
) t
group by block,mth
order by block,mth
+-------+--------+------------+
| block | mth | avg(valus) |
+-------+--------+------------+
| 1 | Mar-14 | 51.0000 |
| 2 | Jun-14 | 54.0000 |
| 3 | Sep-14 | 57.0000 |
| 4 | Dec-14 | 59.0000 |
+-------+--------+------------+
4 rows in set (0.05 sec)
Try this
create temporary table tab (month1 varchar(30), id int);
insert into tab (month1,id)
values('Mar-14' ,50),
('Apr-14' ,51),
('May-14' ,52),
('Jun-14' ,53),
('Jul-14' ,54),
('Aug-14' ,55),
('Sep-14' ,56),
('Oct-14' ,57),
('Nov-14' ,58),
('Dec-14' ,59),
('Jan-15' ,60),
('Feb-15' ,61),
('Mar-14' ,62);
set #row_number = 0;
select *
from tab where (#row_number := #row_number+1)%3= 1;
Result
month1 id
'Mar-14' '50'
'Jun-14' '53'
'Sep-14' '56'
'Dec-14' '59'
'Mar-14' '62'
Suppose I have a table with columns name and age with following data:
name | age
------|-----
harry | 12
adam | 13
eve | 14
jill | 14
John | 16
alice | 19
smith | 33
bill | 43
bob | 66
jones | 78
I want to first arrange the rows in increasing order of age (already done above)
Then I want to supply a "group size", say 3. So mentally divide the table in blocks of 3 rows starting from top
name | age
------|-----
harry | 12
adam | 13
eve | 14
------------
jill | 14
John | 16
alice | 19
------------
smith | 33
bill | 43
bob | 66
------------
jones | 78
Last block can be less than 3 if num rows is not a multiple of 3.
I need the top and bottom values of the age column in each block. So the output should be:
min age|max age
-------|-------
12 | 14
14 | 19
33 | 66
78 | 78
The naive way using nested tables is not efficient:
select
min(T.age),
max(T.age)
from
(select
age
from
users
order by age limit 3 offset 6
) as T
I prefer to avoid selecting rows and work only with aggregates.
Database: MySQL and H2.
E.g.:
SELECT MIN(age)
, MAX(age)
FROM
( SELECT x.*
, FLOOR(#i:=#i+1/3)*3 i
FROM my_table x
, (SELECT #i:=0) vars ORDER BY age,name) n
GROUP
BY i;
I am relatively new with mysql and php. I have developed a hockey stat db. Until now, I have been doing pretty basic queries and reporting of the stats.
I want to do a little more advanced query now.
I have a table that records which players were on the ice (shows as a "fk_pp1_id" - "fk_pp5_id") when a goal is scored. here is the table:
pt_id | fk_gf_id | fk_pp1_id | fk_pp2_id | fk_pp3_id | fk_pp4_id | fk_pp5_id
1 | 1 | 19 | 20 | 68 | 90 | 97
2 | 2 | 1 | 19 | 20 | 56 | 91
3 | 3 | 1 | 56 | 88 | 91 | 93
4 | 4 | 1 | 19 | 64 | 88 | NULL
5 | 5 | 19 | 62 | 68 | 88 | 97
6 | 6 | 55 | 19 | 20 | 45 | 62
7 | 7 | 1 | 19 | 20 | 56 | 61
8 | 8 | 65 | 68 | 90 | 93 | 97
9 | 9 | 19 | 20 | 45 | 55 | 62
10 | 10 | 1 | 19 | 20 | 56 | 61
11 | 11 | 1 | 19 | 20 | 56 | 61
12 | 12 | 19 | 20 | 68 | 90 | 97
13 | 13 | 19 | 20 | 68 | 90 | 97
14 | 14 | 19 | 20 | 55 | 62 | 91
15 | 15 | 1 | 56 | 61 | 64 | 88
16 | 16 | 1 | 56 | 61 | 64 | 88
17 | 17 | 1 | 19 | 20 | 56 | 61
18 | 18 | 1 | 19 | 20 | 56 | 61
19 | 19 | 1 | 65 | 68 | 93 | 97
I want to do several queries:
Show which of the five players were together on the ice most often
when a goal was scored.
Select say 2 players and show which other players were on the ice most often with them when a goal was scored.
I was able to write a query which partially accomplishes query #1 above.
SELECT
fk_pp1_id,
fk_pp2_id,
fk_pp3_id,
fk_pp4_id,
fk_pp5_id,
count(*)
FROM TABLE1
group by
fk_pp1_id,
fk_pp2_id,
fk_pp3_id,
fk_pp4_id,
fk_pp5_id
Here are the results:
fk_pp1_id fk_pp2_id fk_pp3_id fk_pp4_id fk_pp5_id count(*)
1 19 20 56 61 4
1 19 20 56 91 1
1 19 64 88 (null) 1
1 56 61 64 88 2
1 56 88 91 93 1
1 65 68 93 97 1
19 1 20 56 61 1
19 20 45 55 62 1
19 20 55 62 91 1
19 20 68 90 97 3
19 62 68 88 97 1
55 19 20 45 62 1
65 68 90 93 97 1 4
See this sqlfiddle:
http://sqlfiddle.com/#!9/e3f5f/1
This seems to work at first, but I realized this query, as written, is sensitive to the order in which the players are listed. That is to say a row with:
1, 19, 20, 68, 90
will not match
19, 1, 20, 68, 90
So to fix this problem, I feel like I have a couple options:
Ensure the data is input into the table in numerical order
Re-write the query so the order of the data in the table doesn't matter
Make the resulting query a sub-query to another query that first
orders the column (left to right) in numerical order.
Change the schema to record/store the data in a better way
1, I can do, but would prefer to have the query be fool-proof.
2 or 3 I prefer, but don't know how to do either.
4, I don't know how to do and is least desirable as I already have some complex queries against this table that would need to be totally re-written.
Am i going about this in the wrong way or is there a solution??
Thanks for your help
UPDATE -
OK I (hopefully) better normalized the data in the table. Thanks #strawberry. Now my table has a column for the goal_id (foreign key) and a column for the player_id (another foreign key) that was on the ice at the time the goal was scored.
Here is the new fiddle:
http://sqlfiddle.com/#!9/39e5a
I can easily get the one player who was on the ice most when goals are scored, but I can't get my mind around how to find the occurrences of a group of players who were on the ice together. For example, how many times were a group of 5 players on the ice together. Then from there, how often a group of 2 players were on the ice together with the 3 other players.
Any other clues???
I find a similar problem here and based on that i come up with this solution.
For the first part of your problem to select how many time same five player were on the ice when the goal is scored your query could look like this:
SELECT GROUP_CONCAT(t1.fk_gf_id) AS MinOfGoal,
t1.players AS playersNumber,
COUNT(t1.fk_gf_id) AS numOfTimes
FROM (SELECT fk_gf_id, GROUP_CONCAT(fk_plyr_id ORDER BY fk_plyr_id) AS players
FROM Table1
GROUP BY fk_gf_id) AS t1
GROUP BY t1.players
ORDER BY numOfTimes DESC;
And for your second part of the question where you want to select two players and find three more player which were on the ice when goal were scored you should extend previous query whit WERE clause like this
SELECT GROUP_CONCAT(t1.fk_gf_id) AS MinOfGoal,
t1.players AS playersNumber,
COUNT(t1.fk_gf_id) AS numOfTimes
FROM (SELECT fk_gf_id, GROUP_CONCAT(fk_plyr_id ORDER BY fk_plyr_id) AS players
FROM Table1
WHERE fk_gf_id IN (SELECT fk_gf_id
FROM Table1
WHERE fk_plyr_id = 19)
AND fk_gf_id IN (SELECT fk_gf_id
FROM Table1
WHERE fk_plyr_id = 56)
GROUP BY fk_gf_id) AS t1
GROUP BY t1.players
ORDER BY numOfTimes DESC;
You can see how it's work here in SQL Fiddle...
Note: I added some data in Table1 (don't be confused with more date counted).
GL!
To clarify my Title
I would like to tabulate how far behind the leader, each successive finisher is from 1st place as shown in my table below.
Finish | Points | Points Behind
1 | 102 |
2 | 92 | 10
3 | 82 | 20
4 | 71 | 31
5 | 61 | 41
6 | 50 | 52
7 | 40 | 62
8 | 30 | 72
9 | 20 | 82
10 | 10 | 92
Select
snpc_stats.gamedetail.Finish,
snpc_stats.gamedetail.Points,
some code I don't know As 'Points Behind'
From
snpc_stats.gamedetail
Where
snpc_stats.gamedetail.GamesID = 113
You can get the points from first finish and do a cross join with rest of the table.
SQL Fiddle
select gd.Finish, gd.Points,
t.Points-gd.Points as PointsBehind
from gamedetail gd
cross join ( select max(Points) from gamedetail where Finish =1) t