How can a Snowflake user traverse semi-structured data?

The correct answer is A. Insert a colon (:) between the VARIANT column name and any first-level element. In Snowflake, semi-structured data stored in a VARIANT column is traversed using colon (:) notation to access the first-level element directly after the column name-for example, my_column:first_level_key. For deeper nesting, dot notation is used after the first colon-for…

Data Transformations

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Options

AInsert a colon (:) between the VARIANT column name and any first-level element.
BInsert a colon (:) between the VARIANT column name and any second-level element. C. Insert a
CInsert a double colon (: :) between the VARIANT column name and any second-level element.

How the community answered

(24 responses)

A
96% (23)
B
4% (1)

Explanation

In Snowflake, semi-structured data stored in a VARIANT column is traversed using colon (:) notation to access the first-level element directly after the column name-for example, my_column:first_level_key. For deeper nesting, dot notation is used after the first colon-for example, my_column:first_level.second_level. You only ever use a single colon, placed between the column name and the first element of the path. A double colon (::) is used for type casting in Snowflake SQL, not for path traversal. Option B incorrectly states the colon accesses second-level elements, and option C confuses the casting operator with path syntax.

Topics

#Semi-structured data#VARIANT data type#Data traversal#Colon notation

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