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Question 443 - SnowPro Core discussion

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Regardless of which notation is used, what are considerations for writing the column name and element names when traversing semi-structured data?

A.

The column name and element names are both case-sensitive.

Answers
A.

The column name and element names are both case-sensitive.

B.

The column name and element names are both case-insensitive.

Answers
B.

The column name and element names are both case-insensitive.

C.

The column name is case-sensitive but element names are case-insensitive.

Answers
C.

The column name is case-sensitive but element names are case-insensitive.

D.

The column name is case-insensitive but element names are case-sensitive.

Answers
D.

The column name is case-insensitive but element names are case-sensitive.

Suggested answer: D

Explanation:

When querying semi-structured data in Snowflake, the behavior towards case sensitivity is distinct between column names and the names of elements within the semi-structured data. Column names follow the general SQL norm of being case-insensitive, meaning you can reference them in any case without affecting the query. However, element names within JSON, XML, or other semi-structured data are case-sensitive. This distinction is crucial for accurate data retrieval and manipulation in Snowflake, especially when working with JSON objects where the case of keys can significantly alter the outcome of queries.

Snowflake Documentation: Querying Semi-structured Data

asked 29/10/2024
Ivan Galir
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