You have a large table logs with a timestamp column event_time. You want to speed up queries filtering recent events. Which indexing strategy is best?

hard📝 optimization Q8 of 15

PostgreSQL - Indexing Strategies

You have a large table logs with a timestamp column event_time. You want to speed up queries filtering recent events. Which indexing strategy is best?

ACreate a full index on event_time for all rows

BCreate a partial index on event_time for recent dates only

CCreate an index on a different column unrelated to event_time

DDo not create any index to save disk space

Step-by-Step Solution

Solution:

Step 1: Understand partial indexes
Partial indexes index only rows matching a condition, saving space and improving speed for targeted queries.
Step 2: Apply to recent event filtering
Creating a partial index on recent event_time values speeds queries filtering recent events efficiently.
Final Answer:
Create a partial index on event_time for recent dates only -> Option B
Quick Check:
Partial indexes optimize queries on subsets of data [OK]

Quick Trick: Use partial indexes to speed queries on recent or filtered data [OK]

Common Mistakes:

Creating full indexes wasting space
Indexing unrelated columns
Avoiding indexes to save space but losing speed

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You have a large table logs with a timestamp column event_time. You want to speed up queries filtering recent events. Which indexing strategy is best?

Step 1: Understand partial indexes

Step 2: Apply to recent event filtering

Final Answer:

Quick Check:

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