4
I am developing a report in my system to control the productivity of teams, the table of teams has the following information:
(tblequipe)
| id (pk) | nome | meta |
|    1    | EQ01 |  5   |
|    2    | EQ02 |  7   |
|    3    | EQ03 |  6   |
One problem I found was to display the productivity of teams when data did not exist, for example, how I will consider the team’s productivity on 01/01 if there is no release (this release is in a table that contains the raw data, that is, several records that will be summed giving the total amount executed on a certain day) on that date? So I thought I’d create these two tables:
(tblmapa)
| data  | id_equipe | meta |
| 01/01 |     1     |   5  |
| 02/01 |     1     |   5  |
    .         .         .
    .         .         .
    .         .         .
| 31/01 |     1     |   5  |
---------------------------------
(tblprodutividade)
| data  | id_equipe | executado |
| 01/01 |     1     |     9     |
| 05/01 |     1     |     3     |
| 06/01 |     1     |     5     |
Done this would be able to recover the data with this select:
SELECT
    m.data,
    m.id_equipe,
    m.meta,
    isnull(p.executado, 0) executado
FROM
    tblmapa m
    left join tblprodutividade p on (p.data = m.data and p.id_equipe = m.id_equipe)
My question is about tblmapa and the tblprodutividade, would like to know if it is more appropriate to create a column id in each of them as Identity Primary key and define the columns data and id_equipe as Unic or maybe just create the columns data and id_equipe as Primary key composed.
Additional
I would like an answer that takes into account the performance and storage space of Primari key + Unic or Primary key composed, the columns being of the type date and int respectively.
Related question
When the use of composite primary key is recommended?