[Solved] Given the following dbt SQL snippet using Snowflake syntax:SELECT data:id::string AS user_id, data:attributes:age::int AS age FROM usersWhat will be the output columns for a row where data contains... | dbt

dbt - Advanced Patterns

Given the following dbt SQL snippet using Snowflake syntax:

SELECT
  data:id::string AS user_id,
  data:attributes:age::int AS age
FROM users

What will be the output columns for a row where data contains {"id": "U123", "attributes": {"age": 30}}?

Auser_id = 'U123', age = 30

Buser_id = 'id', age = 'attributes:age'

Cuser_id = NULL, age = NULL

Duser_id = 'U123', age = NULL

Step-by-Step Solution

Solution:

Step 1: Understand Snowflake JSON extraction
Snowflake uses colon notation data:id to access JSON keys and casting (::string, ::int) to convert types.
Step 2: Apply extraction to given JSON
For {"id": "U123", "attributes": {"age": 30}}, data:id::string extracts 'U123', and data:attributes:age::int extracts 30.
Final Answer:
user_id = 'U123', age = 30 -> Option A
Quick Check:
Snowflake JSON path extraction = correct values [OK]

Quick Trick: Use colon paths and cast to get JSON values in Snowflake [OK]

Common Mistakes:

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