SPRKSCL1151

org.apache.spark.sql.functions.var_samp has a workaround.

Message: org.apache.spark.sql.functions.var_samp has a workaround, see documentation for more info

Category: Warning

Description

This issue appears when the SMA detects a use of the org.apache.spark.sql.functions.var_samp function, which has a workaround.

Scenario

Input

Below is an example of the org.apache.spark.sql.functions.var_samp function, first used with a column name as an argument and then with a column object.

val df = Seq(
  ("A", 10),
  ("A", 20),
  ("A", 30),
  ("B", 40),
  ("B", 50),
  ("B", 60)
).toDF("category", "value")

val result1 = df.groupBy("category").agg(var_samp("value"))
val result2 = df.groupBy("category").agg(var_samp(col("value")))

Output

The SMA adds the EWI SPRKSCL1151 to the output code to let you know that this function is not fully supported by Snowpark, but it has a workaround.

val df = Seq(
  ("A", 10),
  ("A", 20),
  ("A", 30),
  ("B", 40),
  ("B", 50),
  ("B", 60)
).toDF("category", "value")

/*EWI: SPRKSCL1151 => org.apache.spark.sql.functions.var_samp has a workaround, see documentation for more info*/
val result1 = df.groupBy("category").agg(var_samp("value"))
/*EWI: SPRKSCL1151 => org.apache.spark.sql.functions.var_samp has a workaround, see documentation for more info*/
val result2 = df.groupBy("category").agg(var_samp(col("value")))

Recommended fix

Snowpark has an equivalent var_samp function that receives a column object as an argument. For that reason, the Spark overload that receives a column object as an argument is directly supported by Snowpark and does not require any changes.

For the overload that receives a string argument, you can convert the string into a column object using the com.snowflake.snowpark.functions.col function as a workaround.

val df = Seq(
  ("A", 10),
  ("A", 20),
  ("A", 30),
  ("B", 40),
  ("B", 50),
  ("B", 60)
).toDF("category", "value")

val result1 = df.groupBy("category").agg(var_samp(col("value")))
val result2 = df.groupBy("category").agg(var_samp(col("value")))

Additional recommendations

• For more support, you can email us at [e-mail] or post an issue in the SMA.