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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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