from pyspark.sql import SparkSession
from pyspark.sql.types import StructType, StructField, TimestampType
from datetime import datetime, timezone

spark = SparkSession.builder.config("spark.jars.packages", "com.databricks:spark-xml_2.12:0.17.0").getOrCreate()
schema = StructType([StructField("created-at", TimestampType())])

df = spark.createDataFrame([{"created-at": datetime.now(tz=timezone.utc)}], schema=schema)
df.show(10, False)

df.write.format("xml").option("timestampFormat", "yyyy-MM-dd HH:mm:ss.SSSXXX").mode("overwrite").save("2.xml")

df.repartition(1).write \
  .format("xml") \
  .mode("overwrite") \
  .option("compression", None) \
  .option("rowTag", "item") \
  .save("2.xml")