Structs should be usable in inequality filters

import pyspark
from pyspark.sql.functions import col, struct, concat

spark = pyspark.sql.SparkSession.builder.getOrCreate()

df = spark.createDataFrame(
    [
        ('Boston', 'Bob'),
        ('Boston', 'Nick'),
        ('San Francisco', 'Bob'),
        ('San Francisco', 'Nick'),
    ],
    ['city', 'person']
)
pairs = (
    df.select(
        struct('city', 'person').alias('p1')
    )
    .crossJoin(
        df.select(
            struct('city', 'person').alias('p2')
        )
    )
)

print("Everything")
pairs.show()

print("Comparing parts separately (doesn't give me what I want)")
(pairs
    .where(col('p1.city') < col('p2.city'))
    .where(col('p1.person') < col('p2.person'))
    .show())

print("Comparing parts together with concat (gives me what I want but is hacky)")
(pairs
    .where(concat('p1.city', 'p1.person') < concat('p2.city', 'p2.person'))
    .show())

print("Comparing parts together with struct (my desired solution but currently yields an error)")
(pairs
    .where(col('p1') < col('p2'))
    .show())

org.apache.spark.sql.AnalysisException: cannot resolve '(`p1` < `p2`)' due to data type mismatch: '(`p1` < `p2`)' requires (boolean or tinyint or smallint or int or bigint or float or double or decimal or timestamp or date or string or binary) type, not struct<city:string,person:string>;;
'Filter (p1#5 < p2#8)
+- Join Cross
   :- Project [named_struct(city, city#0, person, person#1) AS p1#5]
   :  +- LogicalRDD [city#0, person#1]
   +- Project [named_struct(city, city#0, person, person#1) AS p2#8]
      +- LogicalRDD [city#0, person#1]