MySQL Cumulative Totals For Each Day of the Month - mysql

Question

I need some help with this SQL running total. I've tried some of the suggestions but haven't got it to work 100% and my totals are not in order.
The query shows number of stones and number of carats produced each day, first for stones over 5 carats, then for stones under 5 carats, so after first column which is the date, those 4 columns appear.
Then the next two columns simply add the stones together and the carats together for daily totals.
After that I would like to add two columns which create running totals of stones and carats.
Any help would be appreciated. Thank you!
select
`dbo_List_Dates`.`Full_Date` AS `Full_Date`,
if(isnull(`qry_Register_Over5ct`.`StonesO5`),
0,`qry_Register_Over5ct`.`StonesO5`) AS `StonesO5`,
if(isnull(`qry_Register_Over5ct`.`CaratsO5`),
0,format(`qry_Register_Over5ct`.`CaratsO5`,3)) AS `CaratsO5`,
if(isnull(`qry_Register_Under5ct`.`StonesU5`),
0,`qry_Register_Under5ct`.`StonesU5`) AS `StonesU5`,
if(isnull(`qry_Register_Under5ct`.`CaratsU5`),
0,format(`qry_Register_Under5ct`.`CaratsU5`,3)) AS `CaratsU5`,
(if(isnull(`qry_Register_Over5ct`.`StonesO5`),
0,`qry_Register_Over5ct`.`StonesO5`) + if(isnull(`qry_Register_Under5ct`.`StonesU5`),
0,`qry_Register_Under5ct`.`StonesU5`)) AS `Stones`,
format((if(isnull(`qry_Register_Over5ct`.`CaratsO5`),
0,`qry_Register_Over5ct`.`CaratsO5`) + if(isnull(`qry_Register_Under5ct`.`CaratsU5`),
0,`qry_Register_Under5ct`.`CaratsU5`)),3) AS `Carats`,
date_format(`dbo_List_Dates`.`Full_Date`,'%Y-%m') AS `Date_Filter`
from
(
(`dbo_List_Dates`
left join `qry_Register_Over5ct`
on((`dbo_List_Dates`.`Full_Date`=qry_Register_Over5ct`.`Shift_Date`))
)
left join `qry_Register_Under5ct`
on((`dbo_List_Dates`.`Full_Date`=`qry_Register_Under5ct`.`Shift_Date`))
)
where
(date_format(`dbo_List_Dates`.`Full_Date`,'%Y-%m') = date_format(now(),'%Y-%m'))
order by
`dbo_List_Dates`.`Full_Date`
limit 0,31

Answer 1

Running totals in mysql require the use of variables.
For example given
create table register (id int, dt date, carats int);
insert into register values
(1,'2016-11-01',10),(2,'2016-11-01',10),(3,'2016-11-01',1),
(4,'2016-11-02',1),
(5,'2016-11-03',10),
(6,'2016-11-05',10),(7,'2016-11-05',1);
and a dates table like this
+------------+
| dte |
+------------+
| 2016-11-01 |
| 2016-11-02 |
| 2016-11-03 |
| 2016-11-04 |
| 2016-11-05 |
+------------+
select s.* ,#RunningTotal:=#RunningTotal + s.LT5_GE5 RunningTotal
from
(
select d.dte,
sum(case when r.dt is not null and r.carats >= 5 then 1 else 0 end) GE5,
sum(case when r.dt is not null and r.carats < 5 then 1 else 0 end) LT5,
sum(case when r.dt is not null and r.carats >= 5 then 1 else 0 end) +
sum(case when r.dt is not null and r.carats < 5 then 1 else 0 end) LT5_GE5
from dates d
left join register r on r.dt = d.dte
where dte between '2016-11-01' and '2016-11-05'
group by dte
) s ,(select #RunningTotal:=0) rt
Results
+------------+------+------+---------+--------------+
| dte | GE5 | LT5 | LT5_GE5 | RunningTotal |
+------------+------+------+---------+--------------+
| 2016-11-01 | 2 | 1 | 3 | 3 |
| 2016-11-02 | 0 | 1 | 1 | 4 |
| 2016-11-03 | 1 | 0 | 1 | 5 |
| 2016-11-04 | 0 | 0 | 0 | 5 |
| 2016-11-05 | 1 | 1 | 2 | 7 |
+------------+------+------+---------+--------------+
And if you want column totals you could include a rollup in the group by
select s.* ,
cast(if(dte is null,#RunningTotal,#RunningTotal:=#RunningTotal + s.LT5_GE5) as int) RunningTotal
from
(
select d.dte,
sum(case when r.dt is not null and r.carats >= 5 then 1 else 0 end) GE5,
sum(case when r.dt is not null and r.carats < 5 then 1 else 0 end) LT5,
sum(case when r.dt is not null and r.carats >= 5 then 1 else 0 end) +
sum(case when r.dt is not null and r.carats < 5 then 1 else 0 end) LT5_GE5
from dates d
left join register r on r.dt = d.dte
where dte between '2016-11-01' and '2016-11-05'
group by dte with rollup
) s ,(select #RunningTotal:=0) rt
Result
+------------+------+------+---------+--------------+
| dte | GE5 | LT5 | LT5_GE5 | RunningTotal |
+------------+------+------+---------+--------------+
| 2016-11-01 | 2 | 1 | 3 | 3 |
| 2016-11-02 | 0 | 1 | 1 | 4 |
| 2016-11-03 | 1 | 0 | 1 | 5 |
| 2016-11-04 | 0 | 0 | 0 | 5 |
| 2016-11-05 | 1 | 1 | 2 | 7 |
| NULL | 4 | 3 | 7 | 7 |
+------------+------+------+---------+--------------+
6 rows in set (0.02 sec)