HyukjinKwon commented on code in PR #52931:
URL: https://github.com/apache/spark/pull/52931#discussion_r2524361656
##########
core/src/main/scala/org/apache/spark/api/python/PythonRunner.scala:
##########
@@ -134,6 +133,15 @@ private[spark] object BasePythonRunner extends Logging {
} else None
}
+ /**
+ * Creates a task identifier string for logging following Spark's standard
format.
+ * Format: "task <partition>.<attempt> in stage <stageId> (TID
<taskAttemptId>)"
+ */
+ private[spark] def taskIdentifier(context: TaskContext): String = {
+ s"task ${context.partitionId()}.${context.attemptNumber()} in stage
${context.stageId()} " +
Review Comment:
I think we can get the info in TaskContext in UDF execution, no?
##########
core/src/main/scala/org/apache/spark/api/python/PythonRunner.scala:
##########
@@ -134,6 +133,15 @@ private[spark] object BasePythonRunner extends Logging {
} else None
}
+ /**
+ * Creates a task identifier string for logging following Spark's standard
format.
+ * Format: "task <partition>.<attempt> in stage <stageId> (TID
<taskAttemptId>)"
+ */
+ private[spark] def taskIdentifier(context: TaskContext): String = {
+ s"task ${context.partitionId()}.${context.attemptNumber()} in stage
${context.stageId()} " +
Review Comment:
I think we can get the info in TaskContext in Python UDF execution, no?
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