if/else logic in models in dbt

Introduction

We use if/else logic in dbt models to make decisions in our data queries. This helps us change results based on conditions, like sorting or grouping data differently.

You want to assign categories to data based on values, like labeling sales as 'high' or 'low'.

You need to handle missing or special values differently in your data.

You want to create new columns that depend on conditions, like calculating discounts only for certain customers.

You want to filter or transform data differently depending on some criteria.

Syntax

dbt

case
  when condition then result
  else other_result
end

This is SQL CASE syntax used inside dbt models.

Conditions are checked in order, and the first true condition's result is returned.

Examples

This example labels customers as 'High' or 'Low' based on their total sales.

dbt

select
  customer_id,
  case
    when total_sales > 1000 then 'High'
    else 'Low'
  end as sales_category
from sales_table

This example assigns readable order status labels based on the status code.

dbt

select
  order_id,
  case
    when status = 'shipped' then 'Complete'
    when status = 'pending' then 'In Progress'
    else 'Unknown'
  end as order_status
from orders

Sample Program

This dbt model example creates a small sales table and uses if/else logic with CASE to categorize sales as 'High' or 'Low'.

dbt

with sales as (
  select 1 as customer_id, 1200 as total_sales union all
  select 2, 800 union all
  select 3, 1500
)

select
  customer_id,
  total_sales,
  case
    when total_sales > 1000 then 'High'
    else 'Low'
  end as sales_category
from sales
order by customer_id

Important Notes

dbt models use SQL, so if/else logic is done with CASE statements.

Always test your conditions carefully to avoid unexpected results.

Summary

Use CASE statements in dbt models to add if/else logic.

This helps create new columns or transform data based on conditions.

Check conditions in order; the first true one applies.

Practice

1. In dbt models, which SQL construct is commonly used to add if/else logic for creating new columns?

easy

A. WHILE LOOP

B. FOR LOOP

C. CASE WHEN ... THEN ... ELSE ... END

D. FUNCTION CALL

Solution

1. Step 1: Understand conditional logic in SQL

   SQL uses CASE statements to check conditions and return values accordingly.

2. Step 2: Identify the correct syntax for if/else logic

   CASE WHEN ... THEN ... ELSE ... END is the standard way to implement if/else logic in SQL and dbt models.

3. Final Answer:

   CASE WHEN ... THEN ... ELSE ... END -> Option C

4. Quick Check:

   CASE statement = if/else logic [OK]

Hint: Remember: CASE is SQL's if/else [OK]

Common Mistakes:

• Confusing loops with conditional logic
• Using function calls instead of CASE
• Trying to use procedural code in SQL

2. Which of the following is the correct syntax for a CASE statement in a dbt model to check if a column score is greater than 50?

easy

A. CASE WHEN score THEN 'Pass' ELSE 'Fail' END

B. CASE score > 50 THEN 'Pass' ELSE 'Fail'

C. IF score > 50 THEN 'Pass' ELSE 'Fail' END

D. CASE WHEN score > 50 THEN 'Pass' ELSE 'Fail' END

Solution

1. Step 1: Review correct CASE syntax

   The correct syntax starts with CASE WHEN condition THEN result ELSE other_result END.

2. Step 2: Check each option for syntax errors

   CASE WHEN score > 50 THEN 'Pass' ELSE 'Fail' END correctly uses CASE WHEN score > 50 THEN 'Pass' ELSE 'Fail' END. Others miss WHEN, END, or have wrong structure.

3. Final Answer:

   CASE WHEN score > 50 THEN 'Pass' ELSE 'Fail' END -> Option D

4. Quick Check:

   CASE WHEN + condition + THEN + result + ELSE + result + END [OK]

Hint: CASE must have WHEN and END keywords [OK]

Common Mistakes:

• Omitting WHEN keyword
• Missing END at the end
• Using IF instead of CASE in SQL

3. Given the following dbt model SQL snippet, what will be the value of status for a row where score = 75?

SELECT
  score,
  CASE
    WHEN score >= 90 THEN 'Excellent'
    WHEN score >= 70 THEN 'Good'
    ELSE 'Average'
  END AS status
FROM scores_table

medium

A. 'Good'

B. NULL

C. 'Average'

D. 'Excellent'

Solution

1. Step 1: Check conditions in order for score = 75

   First condition: score >= 90? No (75 < 90). Second condition: score >= 70? Yes (75 >= 70).

2. Step 2: Determine which condition applies first

   The first true condition is WHEN score >= 70 THEN 'Good', so status = 'Good'.

3. Final Answer:

   'Good' -> Option A

4. Quick Check:

   75 >= 70 = 'Good' [OK]

Hint: Check CASE conditions top to bottom [OK]

Common Mistakes:

• Ignoring order of CASE conditions
• Choosing 'Excellent' incorrectly
• Assuming ELSE applies before WHEN

4. Identify the error in this dbt model snippet:

SELECT
  user_id,
  CASE
    WHEN age > 18 THEN 'Adult'
    WHEN age <= 18 THEN 'Minor'
    ELSE 'Unknown'
FROM users

medium

A. Missing END keyword for CASE statement

B. Incorrect comparison operator in WHEN clauses

C. ELSE clause cannot be used in CASE

D. Missing comma after user_id

Solution

1. Step 1: Check CASE statement syntax

   CASE statements must end with END keyword to close the block.

2. Step 2: Verify presence of END keyword

   The snippet lacks END after ELSE 'Unknown', causing syntax error.

3. Final Answer:

   Missing END keyword for CASE statement -> Option A

4. Quick Check:

   CASE must end with END [OK]

Hint: Always close CASE with END [OK]

Common Mistakes:

• Forgetting END keyword
• Misplacing ELSE clause
• Assuming ELSE is optional

5. You want to create a new column category in your dbt model based on sales amount: if sales > 1000, category is 'High'; if sales between 500 and 1000 inclusive, category is 'Medium'; otherwise, 'Low'. Which CASE statement correctly implements this logic?

hard

A. CASE WHEN sales > 1000 THEN 'High' WHEN sales > 500 THEN 'Medium' ELSE 'Low' END

B. CASE WHEN sales > 1000 THEN 'High' WHEN sales >= 500 AND sales <= 1000 THEN 'Medium' ELSE 'Low' END

C. CASE WHEN sales > 500 AND sales <= 1000 THEN 'Medium' WHEN sales > 1000 THEN 'High' ELSE 'Low' END

D. CASE WHEN sales > 1000 THEN 'High' ELSE WHEN sales >= 500 THEN 'Medium' ELSE 'Low' END

Solution

1. Step 1: Analyze the conditions and their order

   Check sales > 1000 first for 'High', then sales between 500 and 1000 inclusive for 'Medium', else 'Low'.

2. Step 2: Verify correct syntax and condition order

   CASE WHEN sales > 1000 THEN 'High' WHEN sales >= 500 AND sales <= 1000 THEN 'Medium' ELSE 'Low' END correctly orders conditions (highest first) and uses proper inclusive range with AND. CASE WHEN sales > 500 AND sales <= 1000 THEN 'Medium' WHEN sales > 1000 THEN 'High' ELSE 'Low' END misses inclusive lower bound (sales=500 fails) and suboptimal order. CASE WHEN sales > 1000 THEN 'High' WHEN sales > 500 THEN 'Medium' ELSE 'Low' END misses inclusive lower bound. CASE WHEN sales > 1000 THEN 'High' ELSE WHEN sales >= 500 THEN 'Medium' ELSE 'Low' END has syntax error with ELSE WHEN.

3. Final Answer:

   CASE WHEN sales > 1000 THEN 'High' WHEN sales >= 500 AND sales <= 1000 THEN 'Medium' ELSE 'Low' END -> Option B

4. Quick Check:

   Order and range checks correct in CASE WHEN sales > 1000 THEN 'High' WHEN sales >= 500 AND sales <= 1000 THEN 'Medium' ELSE 'Low' END [OK]

Hint: Check ranges carefully and order conditions top-down [OK]

Common Mistakes:

• Wrong order of conditions causing misclassification
• Syntax error using ELSE WHEN instead of WHEN
• Missing inclusive range checks