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SQL subqueries that can occur wherever a value is permitted provided the subquery gives only one tuple with a single attribute are called _________
- a)Exact Subqueries
- b)Vector Subqueries
- c)Positive Subqueries
- d)Scalar Subqueries
Correct answer is option 'D'. Can you explain this answer?
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SQL subqueries that can occur wherever a value is permitted provided t...
SQL subqueries that can occur wherever a value is permitted provided the subquery gives only one tuple with a single attribute are called Scalar subqueries. Scalar Subqueries can be used in the SQL update statement when they are used under the set clause.
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SQL subqueries that can occur wherever a value is permitted provided t...
Scalar Subqueries
Scalar subqueries are subqueries in SQL that can occur wherever a value is permitted, provided the subquery gives only one tuple with a single attribute. These subqueries return a single value, rather than a table or set of rows.
Usage
Scalar subqueries are commonly used in SQL queries to perform calculations, comparisons, or filtering based on a single value returned from a subquery. They can be used in various clauses of a SQL statement, such as SELECT, WHERE, HAVING, and ORDER BY.
Examples
Here are a few examples to illustrate the usage of scalar subqueries:
1. SELECT statement:
```sql
SELECT column1, (SELECT MAX(column2) FROM table2) AS max_value
FROM table1;
```
In this example, the scalar subquery `(SELECT MAX(column2) FROM table2)` returns the maximum value from `column2` in `table2` as a single value. This value is then aliased as `max_value` in the outer query.
2. WHERE clause:
```sql
SELECT column1, column2
FROM table1
WHERE column2 = (SELECT MAX(column2) FROM table2);
```
In this example, the scalar subquery `(SELECT MAX(column2) FROM table2)` is used in the WHERE clause to filter rows from `table1` where `column2` matches the maximum value from `table2`.
3. HAVING clause:
```sql
SELECT column1, AVG(column2) AS avg_value
FROM table1
GROUP BY column1
HAVING AVG(column2) > (SELECT AVG(column2) FROM table1);
```
In this example, the scalar subquery `(SELECT AVG(column2) FROM table1)` is used in the HAVING clause to filter groups of rows based on the average value of `column2`. Only groups with an average value greater than the overall average will be included in the result.
Conclusion
Scalar subqueries are powerful tools in SQL for performing calculations, comparisons, and filtering based on single values returned from subqueries. They can be used in various parts of a SQL statement to enhance query flexibility and functionality.
Scalar subqueries are subqueries in SQL that can occur wherever a value is permitted, provided the subquery gives only one tuple with a single attribute. These subqueries return a single value, rather than a table or set of rows.
Usage
Scalar subqueries are commonly used in SQL queries to perform calculations, comparisons, or filtering based on a single value returned from a subquery. They can be used in various clauses of a SQL statement, such as SELECT, WHERE, HAVING, and ORDER BY.
Examples
Here are a few examples to illustrate the usage of scalar subqueries:
1. SELECT statement:
```sql
SELECT column1, (SELECT MAX(column2) FROM table2) AS max_value
FROM table1;
```
In this example, the scalar subquery `(SELECT MAX(column2) FROM table2)` returns the maximum value from `column2` in `table2` as a single value. This value is then aliased as `max_value` in the outer query.
2. WHERE clause:
```sql
SELECT column1, column2
FROM table1
WHERE column2 = (SELECT MAX(column2) FROM table2);
```
In this example, the scalar subquery `(SELECT MAX(column2) FROM table2)` is used in the WHERE clause to filter rows from `table1` where `column2` matches the maximum value from `table2`.
3. HAVING clause:
```sql
SELECT column1, AVG(column2) AS avg_value
FROM table1
GROUP BY column1
HAVING AVG(column2) > (SELECT AVG(column2) FROM table1);
```
In this example, the scalar subquery `(SELECT AVG(column2) FROM table1)` is used in the HAVING clause to filter groups of rows based on the average value of `column2`. Only groups with an average value greater than the overall average will be included in the result.
Conclusion
Scalar subqueries are powerful tools in SQL for performing calculations, comparisons, and filtering based on single values returned from subqueries. They can be used in various parts of a SQL statement to enhance query flexibility and functionality.
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