HyukjinKwon commented on a change in pull request #31489:
URL: https://github.com/apache/spark/pull/31489#discussion_r571539866
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File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala
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@@ -825,6 +825,26 @@ class DataFrameReader private[sql](sparkSession:
SparkSession) extends Logging {
* must be in the following form: YYYY-MM-DDTHH:mm:ss (e.g.
2020-06-01T13:00:00)</li>
* <li>`recursiveFileLookup`: recursively scan a directory for files. Using
this option
* disables partition discovery</li>
+ * <li>`datetimeRebaseMode`: the rebasing mode for the values of the `DATE`,
`TIMESTAMP_MICROS`,
+ * `TIMESTAMP_MILLIS` logical types from the Julian to Proleptic Gregorian
calendar:
+ * <ul>
+ * <li>`EXCEPTION` : Spark fails in reads of ancient dates/timestamps
that are ambiguous
+ * between the two calendars</li>
+ * <li>`CORRECTED` : loading of dates/timestamps without rebasing</li>
+ * <li>`LEGACY` : perform rebasing of ancient dates/timestamps from the
Julian to Proleptic
+ * Gregorian calendar</li>
+ * </ul>
+ * </li>
+ * <li>`int96RebaseMode`: the rebasing mode for `INT96` timestamps from the
Julian to Proleptic
+ * Gregorian calendar:
Review comment:
Shall we mention that the default is the one set in
`spark.sql.legacy.parquet.datetimeRebaseModeInRead`?
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