[FEA] Support Like with non-literal value

[viadea]

I wish we can support like function with non-literal value.
For example:

from pyspark.sql.types import *
from pyspark.sql.functions import *
jsonString="""{"Zipcode":704,"ZipCodeType":"STANDARD","City":"PARC PARQUE","State":"PR","Zipcode":999}"""
df=spark.createDataFrame([(1, jsonString)],["id","value"])
df.show(truncate=False)
df2=df.withColumn("value",from_json(df.value,MapType(StringType(),StringType())))
df2.collect()

df2.withColumn('newcol', expr(f""" map_filter(value, (k,v)  -> v like concat(k, "abc")    )       """) ).collect()

Not-supported-messages:

!Expression <Like> lambda v#200 LIKE concat(lambda k#199, abc) cannot run on GPU because search only supports StringType if it is a literal value

[revans2]

I filed rapidsai/cudf#10797 for this.