Solution:Step 1: Analyze the SELECT clauseThe query selects only 'id' and 'name', not all columns with '*'.Step 2: Identify the optimization patternSelecting only needed columns reduces data transfer and improves speed.Final Answer:Selecting only needed columns instead of * -> Option DQuick Check:Se

[Solved] Consider the query:SELECT id, name FROM employees WHERE department = 'Sales';Which optimization pattern does this query follow? | PostgreSQL

PostgreSQL - Performance Tuning

Consider the query:
SELECT id, name FROM employees WHERE department = 'Sales';
Which optimization pattern does this query follow?

AUsing a JOIN to combine tables

BUsing ORDER BY to sort results

CUsing a subquery to filter data

DSelecting only needed columns instead of *

Step-by-Step Solution

Solution:

Step 1: Analyze the SELECT clause
The query selects only 'id' and 'name', not all columns with '*'.
Step 2: Identify the optimization pattern
Selecting only needed columns reduces data transfer and improves speed.
Final Answer:
Selecting only needed columns instead of * -> Option D
Quick Check:
Selective columns = Better performance [OK]

Quick Trick: Avoid SELECT *; pick only columns you need [OK]

Common Mistakes:

Confusing JOIN usage with column selection
Thinking ORDER BY is always an optimization
Assuming subqueries are used here

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Consider the query:

Step 1: Analyze the SELECT clause

Step 2: Identify the optimization pattern

Final Answer:

Quick Check:

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