SPRKPY1023

pyspark.sql.functions.log1p

Message: pyspark.sql.functions.log1p has a workaround, see documentation for more info

Category: Warning

Description

This issue appears when the SMA detects a use of the pyspark.sql.functions.log1p function, which has a workaround.

Scenario

Input

Below is an example of a use of the pyspark.sql.functions.log1p function that generates this EWI. In this example, the log1p function is used to calculate the natural logarithm of the value column.

df = spark.createDataFrame([(0,), (1,), (10,), (100,)], ["value"])
df_with_log1p = df.withColumn("log1p_value", log1p(df["value"]))

Output

The SMA adds the EWI SPRKPY1023 to the output code to let you know that this function is not directly supported by Snowpark, but it has a workaround.

df = spark.createDataFrame([(0,), (1,), (10,), (100,)], ["value"])
#EWI: SPRKPY1023 => pyspark.sql.functions.log1p has a workaround, see documentation for more info
df_with_log1p = df.withColumn("log1p_value", log1p(df["value"]))

Recommended fix

As a workaround, you can use the call_function function by passing the string ln as the first argument and by adding 1 to the second argument.

df = spark.createDataFrame([(0,), (1,), (10,), (100,)], ["value"])
df_with_log1p = df.withColumn("log1p_value", call_function("ln", lit(1) + df["value"]))

Additional recommendations

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