SPRKSCL1140

org.apache.spark.sql.functions.stddev

Message: org.apache.spark.sql.functions.stddev 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.stddev function, which has a workaround.

Scenario

Input

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

val df = Seq(
  ("Alice", 10),
  ("Bob", 15),
  ("Charlie", 20),
  ("David", 25),
).toDF("name", "score")

val result1 = df.select(stddev("score"))
val result2 = df.select(stddev(col("score")))

Output

The SMA adds the EWI SPRKSCL1140 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(
  ("Alice", 10),
  ("Bob", 15),
  ("Charlie", 20),
  ("David", 25),
).toDF("name", "score")

/*EWI: SPRKSCL1140 => org.apache.spark.sql.functions.stddev has a workaround, see documentation for more info*/
val result1 = df.select(stddev("score"))
/*EWI: SPRKSCL1140 => org.apache.spark.sql.functions.stddev has a workaround, see documentation for more info*/
val result2 = df.select(stddev(col("score")))

Recommended fix

Snowpark has an equivalent stddev 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(
  ("Alice", 10),
  ("Bob", 15),
  ("Charlie", 20),
  ("David", 25),
).toDF("name", "score")

val result1 = df.select(stddev(col("score")))
val result2 = df.select(stddev(col("score")))

Additional recommendations

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