pyspark import udf
from pyspark.sql.functions import udf
from pyspark.sql.types import LongType
squared_udf = udf(squared, LongType())
df = spark.table("test")
display(df.select("id", squared_udf("id").alias("id_squared")))
pyspark import udf
from pyspark.sql.functions import udf
from pyspark.sql.types import LongType
squared_udf = udf(squared, LongType())
df = spark.table("test")
display(df.select("id", squared_udf("id").alias("id_squared")))
udf in pyspark databricks
from pyspark.sql.types import LongType
def squared_typed(s):
return s * s
spark.udf.register("squaredWithPython", squared_typed, LongType())
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