Let's address each part of the question in detail:
(i) Completing the DML statement to return the number of cars for sale in each shop:
The goal is to count the number of cars available for sale in each shop and group the results by the `ShopID`.
The syntax for an SQL query to achieve this is as follows:
```sql
SELECT COUNT() AS NumberOfCars, ShopID
FROM Cars
GROUP BY ShopID;
```
Explanation:
1. `SELECT COUNT() AS NumberOfCars, ShopID`: This part of the query selects two things:
- `COUNT() AS NumberOfCars` counts all rows in the `Cars` table for each group of `ShopID` and assigns an alias `NumberOfCars` for readability.
- `ShopID` specifies that we are interested in the unique identifiers for each shop.
2. `FROM Cars`: This specifies the table from which to retrieve the data, in this case, the `Cars` table.
3. `GROUP BY ShopID`: This groups the results based on each unique `ShopID`. The counting of cars will be done within these groups.
(ii) Completing the DML statement to include a specific car in the table CAR:
Here, we need to insert a new record into the `CAR` table with the given registration number and make.
The correct SQL statement to achieve this is:
```sql
INSERT INTO CAR (RegistrationNumber, Make)
VALUES ('123 AA', 'Tiger');
```
Explanation:
1. `INSERT INTO CAR (RegistrationNumber, Make)`: This part indicates that we are inserting data into the `CAR` table and specifies the columns which will be receiving new data, namely `RegistrationNumber` and `Make`.
2. `VALUES ('123 AA', 'Tiger')`: This part provides the actual data values to be inserted into the specified columns. Here, '123 AA' is for the `RegistrationNumber` column, and 'Tiger' is for the `Make` column.
In conclusion, the complete solutions to the tasks are:
(i) Return the number of cars for sale in each shop:
```sql
SELECT COUNT() AS NumberOfCars, ShopID
FROM Cars
GROUP BY ShopID;
```
(ii) Include the specified car in the `CAR` table:
```sql
INSERT INTO CAR (RegistrationNumber, Make)
VALUES ('123 AA', 'Tiger');
```
These SQL statements address Javier's requirements for Data Definition Language (DDL) and Data Manipulation Language (DML) operations in his database.
