You have a complex query with multiple joins and filters. The EXPLAIN ANALYZE output shows a high number of loops on a nested loop join node. What combined strategy can help improve performance?

hard📝 Application Q9 of 15

PostgreSQL - Set Operations and Advanced Queries

AIncrease work_mem to allow larger hash joins without indexes

BCreate indexes on join and filter columns and rewrite query to reduce nested loops

CDisable all indexes and force sequential scans for consistency

DRun EXPLAIN ANALYZE with VERBOSE option only

Step-by-Step Solution

Solution:

Step 1: Analyze causes of many nested loop iterations
Many loops indicate inefficient join strategy, often helped by indexes and query rewrite.
Step 2: Combine indexing and query rewrite
Indexes speed up joins and filters; rewriting query can reduce unnecessary loops.
Final Answer:
Create indexes on join and filter columns and rewrite query to reduce nested loops -> Option B
Quick Check:
Indexes + query rewrite reduce nested loops and improve performance [OK]

Quick Trick: Combine indexes and query rewrite to reduce nested loops [OK]

Common Mistakes:

Disabling indexes which slows queries
Relying only on memory settings without indexing
Using EXPLAIN ANALYZE options without fixing plan

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You have a complex query with multiple joins and filters. The EXPLAIN ANALYZE output shows a high number of loops on a nested loop join node. What combined strategy can help improve performance?

Step 1: Analyze causes of many nested loop iterations

Step 2: Combine indexing and query rewrite

Final Answer:

Quick Check:

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