SPRKSCL1118

org.apache.spark.sql.functions.trunc

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

Scenario

Input

Below is an example of the org.apache.spark.sql.functions.trunc function that generates this EWI.

val df = Seq(
  Date.valueOf("2024-10-28"),
  Date.valueOf("2023-05-15"),
  Date.valueOf("2022-11-20"),
).toDF("date")

val result = df.withColumn("truncated", trunc(col("date"), "month"))

Output

The SMA adds the EWI SPRKSCL1118 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(
  Date.valueOf("2024-10-28"),
  Date.valueOf("2023-05-15"),
  Date.valueOf("2022-11-20"),
).toDF("date")

/*EWI: SPRKSCL1118 => org.apache.spark.sql.functions.trunc has a workaround, see documentation for more info*/
val result = df.withColumn("truncated", trunc(col("date"), "month"))

Recommended fix

As a workaround, you can convert the second argument into a column object using the com.snowflake.snowpark.functions.lit function.

val df = Seq(
  Date.valueOf("2024-10-28"),
  Date.valueOf("2023-05-15"),
  Date.valueOf("2022-11-20"),
).toDF("date")

val result = df.withColumn("truncated", trunc(col("date"), lit("month")))

Additional recommendations

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