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How do you use Apache Drill’s query profiles to diagnose performance issues and identify optimizations?

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To diagnose performance issues and identify optimizations using Apache Drill’s query profiles, follow these steps:

1. Enable query profile logging by setting “drill.exec.profile.save” to true in the drill-override.conf file.

2. Execute your query and obtain its Query ID from the Web UI or command line interface (CLI).

3. Access the query profile through the Web UI at http://:8047/profiles/ or via REST API endpoint /profiles/{queryid}.json.

4. Analyze the query profile for key metrics such as total duration, wait time, processing time, and network latency.

5. Examine the physical plan to identify bottlenecks, data distribution, and parallelism opportunities.

6. Review operator-level statistics like rows processed, memory usage, and CPU utilization to pinpoint inefficiencies.

7. Apply identified optimizations, such as modifying join order, leveraging partition pruning, adjusting memory allocation, or tuning parallelism settings.

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