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[SPARK-33863][PYTHON] Respect session timezone in udf workers #53161

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[SPARK-33863][PYTHON] Respect session timezone in udf workers #53161

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4 changes: 4 additions & 0 deletions core/src/main/scala/org/apache/spark/api/python/PythonRunner.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -199,6 +199,7 @@ private[spark] abstract class BasePythonRunner[IN, OUT](
conf.get(PYTHON_DAEMON_KILL_WORKER_ON_FLUSH_FAILURE)
protected val hideTraceback: Boolean = false
protected val simplifiedTraceback: Boolean = false
protected val sessionLocalTimeZone = conf.getOption("spark.sql.session.timeZone")

// All the Python functions should have the same exec, version and envvars.
protected val envVars: java.util.Map[String, String] = funcs.head.funcs.head.envVars
Expand Down Expand Up @@ -282,6 +283,9 @@ private[spark] abstract class BasePythonRunner[IN, OUT](
if (simplifiedTraceback) {
envVars.put("SPARK_SIMPLIFIED_TRACEBACK", "1")
}
if (sessionLocalTimeZone.isDefined) {
envVars.put("SPARK_SESSION_LOCAL_TIMEZONE", sessionLocalTimeZone.get)
}
// SPARK-30299 this could be wrong with standalone mode when executor
// cores might not be correct because it defaults to all cores on the box.
val execCores = execCoresProp.map(_.toInt).getOrElse(conf.get(EXECUTOR_CORES))
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5 changes: 2 additions & 3 deletions python/pyspark/sql/types.py
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Expand Up @@ -452,9 +452,8 @@ def needConversion(self) -> bool:

def toInternal(self, dt: datetime.datetime) -> int:
if dt is not None:
seconds = (
calendar.timegm(dt.utctimetuple()) if dt.tzinfo else time.mktime(dt.timetuple())
)
tzinfo = dt.tzinfo if dt.tzinfo else self.tz_info
seconds = calendar.timegm(dt.utctimetuple()) if tzinfo else time.mktime(dt.timetuple())
return int(seconds) * 1000000 + dt.microsecond

def fromInternal(self, ts: int) -> datetime.datetime:
Expand Down
9 changes: 7 additions & 2 deletions python/pyspark/worker.py
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Expand Up @@ -27,6 +27,7 @@
import inspect
import itertools
import json
import zoneinfo
from typing import Any, Callable, Iterable, Iterator, Optional, Tuple

from pyspark.accumulators import (
Expand Down Expand Up @@ -3304,8 +3305,12 @@ def main(infile, outfile):
sys.exit(-1)
start_faulthandler_periodic_traceback()

# Use the local timezone to convert the timestamp
tz = datetime.datetime.now().astimezone().tzinfo
tzname = os.environ.get("SPARK_SESSION_LOCAL_TIMEZONE", None)
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@cloud-fan cloud-fan Nov 24, 2025

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To confirm, we will hit this branch for every udf execution, not just once per python worker initialization, right?

if tzname:
tz = zoneinfo.ZoneInfo(tzname)
else:
# Use the local timezone to convert the timestamp
tz = datetime.datetime.now().astimezone().tzinfo
TimestampType.tz_info = tz

check_python_version(infile)
Expand Down