Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/18664#discussion_r144166664
--- Diff: python/pyspark/sql/tests.py ---
@@ -3383,6 +3400,43 @@ def test_vectorized_udf_varargs(self):
res = df.select(f(col('id')))
self.assertEquals(df.collect(), res.collect())
+ def test_vectorized_udf_timestamps(self):
+ from pyspark.sql.functions import pandas_udf, col
+ from datetime import date, datetime
+ schema = StructType([
+ StructField("idx", LongType(), True),
+ StructField("date", DateType(), True),
+ StructField("timestamp", TimestampType(), True)])
+ # TODO Fails with time before epoch: (0, date(1969, 1, 1),
datetime(1969, 1, 1, 1, 1, 1))
--- End diff --
Somewhere in the tz_convert process, a timestamp before the epoch causes
this to fail - not sure where yet
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