How can you combine BRIN indexes with other PostgreSQL features to optimize queries on large time-series data?

hard📝 Application Q9 of 15

PostgreSQL - Indexing Strategies

AReplace BRIN indexes with full-text search indexes.

BUse BRIN indexes with table partitioning by time ranges.

CCreate multiple BRIN indexes on unrelated columns.

DDisable autovacuum to prevent BRIN index updates.

Step-by-Step Solution

Solution:

Step 1: Understand combining BRIN with partitioning
Partitioning splits large tables by time ranges, making BRIN indexes more efficient on smaller partitions.
Step 2: Evaluate other options
Full-text search is unrelated; multiple BRIN indexes on unrelated columns add overhead; disabling autovacuum harms index accuracy.
Final Answer:
Use BRIN indexes with table partitioning by time ranges. -> Option B
Quick Check:
Partitioning + BRIN = optimized time-series queries [OK]

Quick Trick: Partition tables by time to enhance BRIN indexes [OK]

Common Mistakes:

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