Stored procedure is too slow in mysql - mysql

Question

I have a routine. But it' s too slow. How can I improve the query?
My records: http://www.sqlfiddle.com/#!9/14cceb/1/0
My query:
CREATE DEFINER = 'root'#'localhost'
PROCEDURE example.ssa()
BEGIN
drop table if exists gps_table;
drop table if exists exam_datas;
CREATE TEMPORARY TABLE gps_table(ID int PRIMARY KEY AUTO_INCREMENT,timei
int,
trun_date_time datetime, tadd_meter int, tin_here int null);
insert into gps_table(timei,trun_date_time,tadd_meter,tin_here) select
imei, run_date_time, add_meter, in_here from example_table;
CREATE TEMPORARY TABLE exam_datas(ID int PRIMARY KEY AUTO_INCREMENT,vimei
int, vbas_run_date_time datetime, vbit_run_date_time datetime, vdifff int);
select tin_here from gps_table limit 1 into #onceki_durum;
select count(id) from gps_table into #kayit_sayisi;
set #i = 1;
set #min_mes = 0;
set #max_mes = 0;
set #frst_id = 0;
set #imei = 0;
set #run_date_time = '0000-00-00 00:00:00';
set #run_date_time2 = '0000-00-00 00:00:00';
myloop: WHILE (#i <= #kayit_sayisi) DO
select tin_here from gps_table where id = #i into #in_here_true;
if (#in_here_true = 1) then
select id,trun_date_time, tadd_meter from gps_table where id = #i into #frst_id,#run_date_time2, #min_mes;
select id from gps_table where id > #frst_id and tin_here =0 order by id asc limit 1 INTO #id;
SET #id = #id-1;
select id, timei, trun_date_time, tadd_meter from gps_table
where id = #id and tin_here =1 limit 1 into #i, #imei, #run_date_time, #max_mes;
if(#i-#frst_id>3) then
set #i:=#i+1;
insert into exam_datas(vimei,vbas_run_date_time,vbit_run_date_time,vdifff) Values (#imei, #run_date_time2, #run_date_time, #max_mes-#min_mes);
SELECT * FROM exam_datas;
SET #asd =1;
elseif 1=1 then
set #i:=#i+1;
End if;
ELSEIF 1=1
THEN SET #i:=#i+1;
End if;
IF (#i = #kayit_sayisi)
THEN set #tamam =1; LEAVE myloop;
END IF;
END WHILE myloop;
select DISTINCT * from exam_datas;
drop table if exists exam_datas;
drop table if exists gps_table;
END
I need: id= 6 first true and id= 11 last_true
firs_trure - last_true = 304-290= 14
id=14 first true and id=18 last_true
firs_true - last_true = 332-324= 8
This routine is too slow.
MySql version is 5.7 and There are 2 milions record in the table.
UPDATE:
Query is here. HERE
Thank you #LukStorms

Answer 1

It's possible to get such results in 1 query.
Thus avoiding a WHILE loop over records.
This example works without using window functions. Just using variables inside the query to calculate a rank. Which is then used to get the minimums and maximums of the groups.
select
imei,
min(run_date_time) as start_dt,
max(run_date_time) as stop_dt,
max(add_meter) - min(add_meter) as diff
from
(
select imei, id, run_date_time, add_meter, in_here,
case
when #prev_imei = imei and #prev_ih = in_here then #rnk
when #rnk := #rnk + 1 then #rnk
end as rnk,
#prev_imei := imei as prev_imei,
#prev_ih := in_here as prev_ih
from example_table t
cross join (select #rnk := 0, #prev_ih := null, #prev_imei := null) vars
order by imei, id, run_date_time
) q
where in_here = 1
group by imei, rnk
having count(*) > 4
order by imei, min(id);
In the procedure such query can be used to fill that final temporary table.
A test on db<>fiddle here