SPRKSCL1159

org.apache.spark.sql.functions.stddev_samp

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

Scenario

Input

Below is an example of the org.apache.spark.sql.functions.stddev_samp function that generates this EWI. In this example, the stddev_samp function is used to calculate the sample standard deviation of selected column.

val df = Seq("1.7", "2.1", "3.0", "4.4", "5.2").toDF("elements")
val result1 = stddev_samp(col("elements"))
val result2 = stddev_samp("elements")

Output

The SMA adds the EWI SPRKSCL1159 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("1.7", "2.1", "3.0", "4.4", "5.2").toDF("elements")
/*EWI: SPRKSCL1159 => org.apache.spark.sql.functions.stddev_samp has a workaround, see documentation for more info*/
val result1 = stddev_samp(col("elements"))
/*EWI: SPRKSCL1159 => org.apache.spark.sql.functions.stddev_samp has a workaround, see documentation for more info*/
val result2 = stddev_samp("elements")

Recommended fix

Snowpark has an equivalent stddev_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("1.7", "2.1", "3.0", "4.4", "5.2").toDF("elements")
val result1 = stddev_samp(col("elements"))
val result2 = stddev_samp(col("elements"))

Additional recommendations

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