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ARA-C01 · Question #51

An Architect is troubleshooting a query with poor performance using the QUERY_HIST0RY function. The Architect observes that the COMPILATIONJHME is greater than the EXECUTIONJTIME. What is the reason…

The correct answer is B. The query has overly complex logic. Compilation time is the time it takes for the optimizer to create an optimal query plan for the efficient execution of the query. It also involves some pruning of partition files, making the query execution efficient. If the compilation time is greater than the execution time…

Performance Optimization

Question

An Architect is troubleshooting a query with poor performance using the QUERY_HIST0RY function. The Architect observes that the COMPILATIONJHME is greater than the EXECUTIONJTIME. What is the reason for this?

Options

  • AThe query is processing a very large dataset.
  • BThe query has overly complex logic.
  • CThe query is queued for execution.
  • DThe query is reading from remote storage.

How the community answered

(21 responses)
  • A
    10% (2)
  • B
    86% (18)
  • D
    5% (1)

Explanation

Compilation time is the time it takes for the optimizer to create an optimal query plan for the efficient execution of the query. It also involves some pruning of partition files, making the query execution efficient. If the compilation time is greater than the execution time, it means that the optimizer spent more time analyzing the query than actually running it. This could indicate that the query has overly complex logic, such as multiple joins, subqueries, aggregations, or expressions. The complexity of the query could also affect the size and quality of the query plan, which could impact the performance of the query. To reduce the compilation time, the Architect can try to simplify the query logic, use views or common table expressions (CTEs) to break down the query into smaller parts, or use hints to guide the optimizer. The Architect can also use the EXPLAIN command to examine the query plan and identify potential bottlenecks or inefficiencies.

Topics

#Query performance#Troubleshooting#Query compilation#Performance metrics

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