Analytics/aggregate sql query development

Hello

I need convert the input as data below:

as the value of category chnages, the sum must be made according to the date values.

Date

Number

CODE

CATEGORY

VALUE

17/10/2014 11:30

07999999999

IH1111

A

100

17/10/2014 12:30

07999999999

IH1111

A

200

17/10/2014 13:00

07999999999

IH1111

A

20

17/10/2014 13:30

07999999999

IH1111

B

50

17/10/2014 14:00

07999999999

IH1111

B

100

17/10/2014 14:30

07999999999

IH1111

A

30

17/10/2014-15:00

07999999999

IH1111

C

30

17/10/2014-15:30

07999999999

IH1111

C

30

17/10/2014-16:30

07999999999

IH1111

A

30

17/10/2014-17:30

07999999999

IH1111

A

30

17/10/2014-18:30

07999999999

IH1111

B

30

17/10/2014-19:30

07999999999

IH1111

B

30

data output:

17/10/2014 11:30

07999999999

IH1111

A

320

17/10/2014 13:30

07999999999

IH1111

B

150

17/10/2014 14:30

07999999999

IH1111

A

30

17/10/2014-15:00

07999999999

IH1111

C

60

17/10/2014-16:30

07999999999

IH1111

A

60

17/10/2014-18:30

07999999999

IH1111

B

60

Could you please help me build the query.

Thanks in advance.

Try the below...

SELECT p_date

p_num,

code,

category,

sum_val

Of

(SELECT p_date,

p_num,

code,

category,

MySQL OVER (PARTITION BY rn3) sum_val,

ROW_NUMBER() over (PARTITION BY rn3 ORDER BY p_date) rn4

Of

(SELECT p_date,

p_num,

code,

category,

value,

ROW_NUMBER() over (ORDER BY p_date) - ROW_NUMBER() over (PARTITION BY p_num, CategoryID ORDER BY p_date) rn3

OF test_tab

)

)

WHERE the rn4 = 1

ORDER BY p_date;

OUTPUT:-

=======

17/10/2014 11:30 7999999999 IH1111 HAS 320

17/10/2014 13:30 7999999999 IH1111 B 150

17/10/2014 14:30 7999999999 IH1111 HAS 30

17/10/2014-15:00, 7999999999 IH1111 C 60

17/10/2014 16:30 7999999999 60 IH1111

17/10/2014 18:30 7999999999 IH1111 B 60

Thank you

Ann

Tags: Database

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