Assess UPDATE Query Performance with Runtime Metrics

Analyzing UPDATE Performance with EXPLAIN ANALYZE

Write a PostgreSQL query to analyze the performance of an UPDATE statement using EXPLAIN ANALYZE.

Solution:

-- Specify the action to analyze the performance of the query with actual runtime.
EXPLAIN ANALYZE  
-- Define the action to update the salary column in the Employees table.
UPDATE Employees  
-- Set the new salary value as 5% higher than the current salary.
SET salary = salary * 1.05  
-- Add a condition to filter rows where the department is 'Sales'.
WHERE department = 'Sales'; 

Explanation:

• Purpose of the Query:
• To measure the performance impact and execution details of an UPDATE statement.
• Helps in identifying bottlenecks in data modification operations.
• Key Components:
• EXPLAIN ANALYZE : Executes the UPDATE and provides runtime statistics.
• SET salary = salary * 1.05 : The update operation applied to the filtered rows.
• Real-World Application:
• Useful when performing bulk updates to ensure that performance remains acceptable.

Notes:

• Since the query is executed, ensure that it is run on a test environment if data integrity is a concern.

For more Practice: Solve these Related Problems:

• Write a PostgreSQL query using EXPLAIN ANALYZE to update the "salary" field in the "Employees" table for a specific department.
• Write a PostgreSQL query using EXPLAIN ANALYZE to update the "status" field in the "Orders" table with a condition filtering by order date.
• Write a PostgreSQL query using EXPLAIN ANALYZE to update a counter in the "PageViews" table and display the execution plan.
• Write a PostgreSQL query using EXPLAIN ANALYZE to evaluate the performance of an UPDATE that joins "Employees" and "Departments" before updating the target table.

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