Suman1985
New Contributor II

Hello ,  I read your question I just tell you that if you try following **bleep** , 

In Databricks, you can achieve similar conditional logic using Spark SQL. However, Spark SQL doesn't directly support variable assignment and manipulation in the same way as T-SQL. Instead, you would typically achieve your goal using DataFrames or SQL expressions. Here's how you can reproduce the logic you provided using Spark SQL:

-- Load the table as a DataFrame
val df = **bleep**.TableExample")

-- Calculate counts using DataFrames
val variableA = df.count()
val variableB = df.count() + 1

-- Use CASE WHEN for conditional logic
val result = spark.sql(
s"""
SELECT CASE WHEN $variableA = $variableB THEN 'Equal' ELSE 'Not equal' END AS result
"""
)

result.show()

****bleep** in a DataFrame.

Please note that Spark SQL does not directly support the use of variables like T-SQL does. Instead, you work with DataFrames and SQL expressions to achieve similar functionality. Myjdfaccount

 

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Best Regards,