Evaluate Nested Query Performance with Detailed Metrics
Analyzing Subquery Performance with EXPLAIN ANALYZE
Write a PostgreSQL query to analyze a query that includes a subquery using EXPLAIN ANALYZE.
Solution:
-- Analyze the performance of a query with a subquery filtering employee IDs.
EXPLAIN ANALYZE
SELECT name, salary
FROM Employees
WHERE department IN (
SELECT department
FROM Departments
WHERE location = 'New York'
);
Explanation:
- Purpose of the Query:
- To examine how PostgreSQL executes a query with a subquery in the WHERE clause.
- Helps in understanding the impact of nested queries on performance.
- Key Components:
- IN (SELECT ... FROM Departments WHERE location = 'New York') : The subquery filtering departments.
- EXPLAIN ANALYZE : Displays both the planned and actual performance metrics.
- Real-World Application:
- Valuable for queries that combine data from multiple related tables using subqueries.
Notes:
- Subqueries can sometimes be rewritten as JOINs for performance improvements; the plan can indicate if a rewrite might help.
For more Practice: Solve these Related Problems:
- Write a PostgreSQL query using EXPLAIN ANALYZE to evaluate a query with a subquery in the SELECT clause retrieving a scalar value from the "Departments" table.
- Write a PostgreSQL query using EXPLAIN ANALYZE to analyze a query that uses a subquery in the WHERE clause to filter "Orders" based on "customer_id" from the "Customers" table.
- Write a PostgreSQL query using EXPLAIN ANALYZE to assess the performance of a correlated subquery in the "Sales" table.
- Write a PostgreSQL query using EXPLAIN ANALYZE to analyze a subquery that computes a maximum value used in the main query filtering the "Products" table.
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Previous PostgreSQL Exercise: Analyzing Aggregation Queries with EXPLAIN ANALYZE.
Next PostgreSQL Exercise: Analyzing Window Function Performance with EXPLAIN ANALYZE.
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