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Question 463 - SnowPro Core discussion

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The effects of query pruning can be observed by evaluating which statistics? (Select TWO).

A.

Partitions scanned

Answers
A.

Partitions scanned

B.

Partitions total

Answers
B.

Partitions total

C.

Bytes scanned

Answers
C.

Bytes scanned

D.

Bytes read from result

Answers
D.

Bytes read from result

E.

Bytes written

Answers
E.

Bytes written

Suggested answer: A, C

Explanation:

Query pruning in Snowflake refers to the optimization technique where the system reduces the amount of data scanned by a query based on the query conditions. This typically involves skipping unnecessary data partitions that do not contribute to the query result. The effectiveness of this technique can be observed through:

Option A: Partitions scanned. This statistic indicates how many data partitions were actually scanned as a result of query pruning, showing the optimization in action.

Option C: Bytes scanned. This measures the volume of data physically read during query execution, and a reduction in this number indicates effective query pruning, as fewer bytes are read when unnecessary partitions are skipped.

Options B, D, and E do not directly relate to observing the effects of query pruning. 'Partitions total' shows the total available, not the impact of pruning, while 'Bytes read from result' and 'Bytes written' relate to output rather than the efficiency of data scanning.

Reference: Snowflake documentation on performance tuning and query optimization techniques, specifically how query pruning affects data access.

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asked 29/10/2024
carlos soto
36 questions
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