15. List the first name for all contacts and whether they have a spouse or not (yes/no). Order by the first name. For example, your result set might look like this: | firstname | Married? | Biff | George | Jennifer | Lorraine | Marty | no | yes | no | yes | no

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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This image displays a table containing personal data structured into four columns: `id`, `firstname`, `lastname`, and `spouse_id`. Each row represents a different individual, with unique ID numbers and associated details.

### Table Structure:

- **Columns:**
  - **`id`**: A unique identifier for each individual.
  - **`firstname`**: The first name of each individual.
  - **`lastname`**: The last name of each individual.
  - **`spouse_id`**: The ID of the individual's spouse. `NULL` indicates no spouse is recorded in this dataset.

### Data Breakdown:

1. **ID 1**
   - **Firstname**: Marty
   - **Lastname**: McFly
   - **Spouse ID**: NULL

2. **ID 2**
   - **Firstname**: Jennifer
   - **Lastname**: Parker
   - **Spouse ID**: NULL

3. **ID 3**
   - **Firstname**: Lorraine
   - **Lastname**: McFly
   - **Spouse ID**: 5

4. **ID 4**
   - **Firstname**: Biff
   - **Lastname**: Tannen
   - **Spouse ID**: NULL

5. **ID 5**
   - **Firstname**: George
   - **Lastname**: McFly
   - **Spouse ID**: 3

### Observations:

- Lorraine McFly (ID 3) is recorded as having George McFly (ID 5) as a spouse.
- George McFly (ID 5) is recorded as having Lorraine McFly (ID 3) as a spouse.
- Marty McFly, Jennifer Parker, and Biff Tannen have no spouse data entered (indicated by NULL).

This table format is commonly used in databases to manage and query relational data efficiently.
Transcribed Image Text:This image displays a table containing personal data structured into four columns: `id`, `firstname`, `lastname`, and `spouse_id`. Each row represents a different individual, with unique ID numbers and associated details. ### Table Structure: - **Columns:** - **`id`**: A unique identifier for each individual. - **`firstname`**: The first name of each individual. - **`lastname`**: The last name of each individual. - **`spouse_id`**: The ID of the individual's spouse. `NULL` indicates no spouse is recorded in this dataset. ### Data Breakdown: 1. **ID 1** - **Firstname**: Marty - **Lastname**: McFly - **Spouse ID**: NULL 2. **ID 2** - **Firstname**: Jennifer - **Lastname**: Parker - **Spouse ID**: NULL 3. **ID 3** - **Firstname**: Lorraine - **Lastname**: McFly - **Spouse ID**: 5 4. **ID 4** - **Firstname**: Biff - **Lastname**: Tannen - **Spouse ID**: NULL 5. **ID 5** - **Firstname**: George - **Lastname**: McFly - **Spouse ID**: 3 ### Observations: - Lorraine McFly (ID 3) is recorded as having George McFly (ID 5) as a spouse. - George McFly (ID 5) is recorded as having Lorraine McFly (ID 3) as a spouse. - Marty McFly, Jennifer Parker, and Biff Tannen have no spouse data entered (indicated by NULL). This table format is commonly used in databases to manage and query relational data efficiently.
**Task 15: Listing Contact Information**

Objective: List the first names of all contacts and indicate whether they have a spouse. The information is to be ordered alphabetically by the first name.

**Example Result:**

This table represents how your result set might appear:

```
+-----------+---------+
| firstname | Married?|
+-----------+---------+
| Biff      | no      |
| George    | yes     |
| Jennifer  | no      |
| Lorraine  | yes     |
| Marty     | no      |
+-----------+---------+
```

- **Columns:**
  - *firstname*: The first name of the contact.
  - *Married?*: Indicates marital status, with options "yes" or "no".

Each row in the table represents a contact, displaying their first name and marital status. The table is sorted by the "firstname" column.
Transcribed Image Text:**Task 15: Listing Contact Information** Objective: List the first names of all contacts and indicate whether they have a spouse. The information is to be ordered alphabetically by the first name. **Example Result:** This table represents how your result set might appear: ``` +-----------+---------+ | firstname | Married?| +-----------+---------+ | Biff | no | | George | yes | | Jennifer | no | | Lorraine | yes | | Marty | no | +-----------+---------+ ``` - **Columns:** - *firstname*: The first name of the contact. - *Married?*: Indicates marital status, with options "yes" or "no". Each row in the table represents a contact, displaying their first name and marital status. The table is sorted by the "firstname" column.
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