SPRKPY1037

pyspark.sql.functions.sort_array

This issue code has been deprecated

Message: pyspark.sql.functions.sort_array 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.sort_array function, which has a workaround.

Scenario

Input

Below is an example of a use of the pyspark.sql.functions.sort_array function that generates this EWI. In this example, the sort_array function is used to sort the numbers array in ascending and descending order.

df = spark.createDataFrame([(1, [3, 1, 2]), (2, [10, 5, 8]), (3, [6, 4, 7])], ["id", "numbers"])
df_sorted_asc = df.withColumn("sorted_numbers_asc", sort_array("numbers", asc=True))
df_sorted_desc = df.withColumn("sorted_numbers_desc", sort_array("numbers", asc=False))

Output

The SMA adds the EWI SPRKPY1037 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([(1, [3, 1, 2]), (2, [10, 5, 8]), (3, [6, 4, 7])], ["id", "numbers"])
#EWI: SPRKPY1037 => pyspark.sql.functions.sort_array has a workaround, see documentation for more info
df_sorted_asc = df.withColumn("sorted_numbers_asc", sort_array("numbers", asc=True))
#EWI: SPRKPY1037 => pyspark.sql.functions.sort_array has a workaround, see documentation for more info
df_sorted_desc = df.withColumn("sorted_numbers_desc", sort_array("numbers", asc=False))

Recommended fix

As a workaround, you can import the snowpark_extensions package which provides an extension for the sort_array function.

import snowpark_extensions

df = spark.createDataFrame([(1, [3, 1, 2]), (2, [10, 5, 8]), (3, [6, 4, 7])], ["id", "numbers"])
df_sorted_asc = df.withColumn("sorted_numbers_asc", sort_array("numbers", asc=True))
df_sorted_desc = df.withColumn("sorted_numbers_desc", sort_array("numbers", asc=False))

Additional recommendations

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