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MongoDBquery~5 mins

Explain plan analysis (queryPlanner, executionStats) in MongoDB - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is the purpose of the queryPlanner section in MongoDB's explain plan?
The queryPlanner shows how MongoDB plans to execute a query, including which indexes it will use and the stages of the query execution. It helps understand the strategy MongoDB chooses before running the query.
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beginner
What information does the executionStats section provide in MongoDB's explain output?
The executionStats section shows actual runtime details like how many documents were examined, how many were returned, and how long the query took. It helps measure query performance.
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intermediate
In MongoDB explain output, what does a high number of totalDocsExamined indicate?
A high totalDocsExamined means MongoDB looked at many documents to find the results. This can suggest the query is inefficient and might benefit from an index.
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intermediate
What does the winningPlan represent in the queryPlanner section?
The winningPlan is the chosen method MongoDB will use to run the query, such as which index or collection scan it will perform.
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advanced
Why is it useful to compare queryPlanner and executionStats in MongoDB explain?
Comparing queryPlanner and executionStats helps verify if the planned query strategy actually performs well in practice, and if indexes are used effectively.
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What does the queryPlanner section in MongoDB explain show?
AThe network latency during query execution
BThe actual time taken to run the query
CThe number of documents returned
DThe planned steps and indexes used to execute the query
Which section of MongoDB explain output tells you how many documents were scanned?
AexecutionStats
BserverStatus
CqueryPlanner
DindexStats
If a query's executionStats shows a high totalDocsExamined, what might that mean?
AThe query is scanning many documents, possibly inefficient
BThe query is using an index efficiently
CThe query returned no results
DThe query is very fast
What is the winningPlan in MongoDB explain?
AThe fastest query result
BThe chosen query execution plan
CThe number of documents returned
DThe server configuration
Why should you look at both queryPlanner and executionStats?
ATo see the server uptime
BTo find network errors
CTo check if the planned query matches actual performance
DTo view user permissions
Describe what information you find in the queryPlanner and executionStats sections of a MongoDB explain plan.
Think about planning vs actual execution
You got /2 concepts.
    Explain why analyzing both the queryPlanner and executionStats is important for optimizing MongoDB queries.
    Consider planning and real results
    You got /3 concepts.