Solution:Step 1: Identify the cause of slownessQuery filters on order_date but may scan all rows without an index.Step 2: Apply optimization by indexingAdding an index on order_date lets PostgreSQL find matching rows faster.Final Answer:Add an index on the order_date column -> Option BQuick Check:In

[Solved] You have this query:SELECT * FROM orders WHERE order_date = '2023-01-01';It runs slowly. Which fix will likely improve performance? | PostgreSQL

PostgreSQL - Performance Tuning

You have this query:
SELECT * FROM orders WHERE order_date = '2023-01-01';
It runs slowly. Which fix will likely improve performance?

AChange SELECT * to SELECT COUNT(*)

BAdd an index on the order_date column

CRemove the WHERE clause

DUse GROUP BY order_date

Step-by-Step Solution

Solution:

Step 1: Identify the cause of slowness
Query filters on order_date but may scan all rows without an index.
Step 2: Apply optimization by indexing
Adding an index on order_date lets PostgreSQL find matching rows faster.
Final Answer:
Add an index on the order_date column -> Option B
Quick Check:
Index on filter column = Faster query [OK]

Quick Trick: Index columns used in WHERE for faster filtering [OK]

Common Mistakes:

Removing WHERE loses filtering purpose
Changing SELECT * to COUNT(*) changes result, not speed
Using GROUP BY without aggregation is incorrect

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You have this query:

Step 1: Identify the cause of slowness

Step 2: Apply optimization by indexing

Final Answer:

Quick Check:

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