SPRKPY1042

pyspark.sql.functions.posexplode

Message: pyspark.sql.functions.posexplode has a workaround

Category: Warning

Description

This issue appears when the tool detects the usage of pyspark.sql.functions.posexplode which has a workaround.

Scenarios

There are a couple of scenarios that this method can handle depending on the type of column it is passed as a parameter, it can be a list of values or a map/directory (keys/values).

Scenario 1

Input

Below is an example of the usage of posexplode passing as a parameter of a list of values.

df = spark.createDataFrame(
    [Row(a=1,
         intlist=[1, 2, 3])])

df.select(posexplode(df.intlist)).collect()

Output

The tool adds the EWI SPRKPY1042 indicating that a workaround can be implemented.

df = spark.createDataFrame(
    [Row(a=1,
         intlist=[100, 200, 300])])
#EWI: SPRKPY1042 => pyspark.sql.functions.posexplode has a workaround, see documentation for more info

df.select(posexplode(df.intlist)).show()

Recommended fix

For having the same behavior, use the method functions.flatten, drop extra columns, and rename index and value column names.

df = spark.createDataFrame(
  [Row(a=1,
       intlist=[1, 2, 3])])

df.select(
    flatten(df.intlist))\
    .drop("DATA", "SEQ", "KEY", "PATH", "THIS")\
    .rename({"INDEX": "pos", "VALUE": "col"}).show()

Scenario 2

Input

Below is another example of the usage of posexplode passing as a parameter a map/dictionary (keys/values)

df = spark.createDataFrame([
    [1, [1, 2, 3], {"Ashi Garami": "Single Leg X"}, "Kimura"],
    [2, [11, 22], {"Sankaku": "Triangle"}, "Coffee"]
],
schema=["idx", "lists", "maps", "strs"])

df.select(posexplode(df.maps)).show()

Output

The tool adds the EWI SPRKPY1042 indicating that a workaround can be implemented.

df = spark.createDataFrame([
    [1, [1, 2, 3], {"Ashi Garami": "Single Leg X"}, "Kimura"],
    [2, [11, 22], {"Sankaku": "Triangle"}, "Coffee"]
],
schema=["idx", "lists", "maps", "strs"])
#EWI: SPRKPY1042 => pyspark.sql.functions.posexplode has a workaround, see documentation for more info

df.select(posexplode(df.maps)).show()

Recommended fix

As a workaround, you can use functions.row_number to get the position and functions.explode with the name of the field to get the value the key/value for dictionaries.

df = spark.createDataFrame([
    [10, [1, 2, 3], {"Ashi Garami": "Single Leg X"}, "Kimura"],
    [11, [11, 22], {"Sankaku": "Triangle"}, "Coffee"]
],
    schema=["idx", "lists", "maps", "strs"])

window = Window.orderBy(col("idx").asc())

df.select(
    row_number().over(window).alias("pos"),
    explode(df.maps).alias("key", "value")).show()

Note: using row_number is not fully equivalent, because it starts with 1 (not zero as spark method)

Additional recommendations

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