SQL Commands. Modify the following select statement to remove the hard-coded values $1.00 and $2.00 from the code and place them in a table of constants. The table sec0306_price_constants is already set up for you. The min_price field = 1.00 and the max_price field = 2.00. When I make a change like this, in addition to replacing the hard-coded values, I often put those values in the select clause so I can see exactly what the values are whenever I run the SQL code. select description from l_foods where price between 1.00 and 2.00 order by description;

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Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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SQL Commands.

Modify the following select statement to remove the hard-coded values $1.00 and $2.00 from the code and place them in a table of constants.


The table sec0306_price_constants is already set up for you. The min_price field = 1.00 and the max_price field = 2.00.
When I make a change like this, in addition to replacing the hard-coded values, I often put those values in the select clause so I can see exactly what the values are whenever I run the SQL code.


select description
from l_foods
where price between 1.00 and 2.00
order by description;

The image showcases an SQL query interface within the Oracle APEX environment. Here's a detailed transcription and explanation of the contents:

### SQL Query Code
The SQL query displayed is written to retrieve and order low-cost food options from a database table named "foods." The query is as follows:

```sql
select description
from l_foods
where price between 1.00 and 2.00
order by description;
```

### Explanation of the SQL Query
- **select description**: This command selects the "description" column from the table, which likely contains the names or details of the food items.
- **from l_foods**: Specifies the table "l_foods" from which to retrieve the data.
- **where price between 1.00 and 2.00**: Filters the results to include only those food items with prices between $1.00 and $2.00.
- **order by description**: Organizes the retrieved list of food descriptions alphabetically.

### Results Table
Below the query input, a results table is visible. This table is labeled "RESULTS" and contains a column labeled "DESCRIPTION" with the following entries:
- BROCCOLI
- FRENCH FRIES
- FRESH SALAD
- SODA
- SOUP OF THE DAY

### Performance Indicator
- The query returned 5 rows in 0.01 seconds, indicating the efficiency of the database search.

### Download Option
- A "Download" link is available, which likely allows users to download the results.

This setup is an efficient way to extract specific data from a database based on price range and display it in an organized manner.
Transcribed Image Text:The image showcases an SQL query interface within the Oracle APEX environment. Here's a detailed transcription and explanation of the contents: ### SQL Query Code The SQL query displayed is written to retrieve and order low-cost food options from a database table named "foods." The query is as follows: ```sql select description from l_foods where price between 1.00 and 2.00 order by description; ``` ### Explanation of the SQL Query - **select description**: This command selects the "description" column from the table, which likely contains the names or details of the food items. - **from l_foods**: Specifies the table "l_foods" from which to retrieve the data. - **where price between 1.00 and 2.00**: Filters the results to include only those food items with prices between $1.00 and $2.00. - **order by description**: Organizes the retrieved list of food descriptions alphabetically. ### Results Table Below the query input, a results table is visible. This table is labeled "RESULTS" and contains a column labeled "DESCRIPTION" with the following entries: - BROCCOLI - FRENCH FRIES - FRESH SALAD - SODA - SOUP OF THE DAY ### Performance Indicator - The query returned 5 rows in 0.01 seconds, indicating the efficiency of the database search. ### Download Option - A "Download" link is available, which likely allows users to download the results. This setup is an efficient way to extract specific data from a database based on price range and display it in an organized manner.
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