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[GitHub] [spark] itholic commented on a change in pull request #32161: [SPARK-35025] Move Parquet data source options from Python and Scala into a single page.
itholic commented on a change in pull request #32161:
URL: https://github.com/apache/spark/pull/32161#discussion_r615513052
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File path: python/pyspark/sql/readwriter.py
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@@ -416,53 +416,12 @@ def parquet(self, *paths, **options):
Other Parameters
----------------
- mergeSchema : str or bool, optional
- sets whether we should merge schemas collected from all
- Parquet part-files. This will override
- ``spark.sql.parquet.mergeSchema``. The default value is specified in
- ``spark.sql.parquet.mergeSchema``.
- pathGlobFilter : str or bool, optional
- an optional glob pattern to only include files with paths matching
- the pattern. The syntax follows `org.apache.hadoop.fs.GlobFilter`.
- It does not change the behavior of
- `partition discovery <https://spark.apache.org/docs/latest/sql-data-sources-parquet.html#partition-discovery>`_. # noqa
- recursiveFileLookup : str or bool, optional
- recursively scan a directory for files. Using this option
- disables
- `partition discovery <https://spark.apache.org/docs/latest/sql-data-sources-parquet.html#partition-discovery>`_. # noqa
-
- modification times occurring before the specified time. The provided timestamp
- must be in the following format: YYYY-MM-DDTHH:mm:ss (e.g. 2020-06-01T13:00:00)
- modifiedBefore (batch only) : an optional timestamp to only include files with
- modification times occurring before the specified time. The provided timestamp
- must be in the following format: YYYY-MM-DDTHH:mm:ss (e.g. 2020-06-01T13:00:00)
- modifiedAfter (batch only) : an optional timestamp to only include files with
- modification times occurring after the specified time. The provided timestamp
- must be in the following format: YYYY-MM-DDTHH:mm:ss (e.g. 2020-06-01T13:00:00)
- datetimeRebaseMode : str, optional
- the rebasing mode for the values of the ``DATE``, ``TIMESTAMP_MICROS``,
- ``TIMESTAMP_MILLIS`` logical types from the Julian to Proleptic Gregorian calendar.
-
- * ``EXCEPTION``: Spark fails in reads of ancient dates/timestamps
- that are ambiguous between the two calendars.
- * ``CORRECTED``: loading of dates/timestamps without rebasing.
- * ``LEGACY``: perform rebasing of ancient dates/timestamps from the Julian
- to Proleptic Gregorian calendar.
-
- If None is set, the value of the SQL config
- ``spark.sql.parquet.datetimeRebaseModeInRead`` is used by default.
- int96RebaseMode : str, optional
- the rebasing mode for ``INT96`` timestamps from the Julian to
- Proleptic Gregorian calendar.
-
- * ``EXCEPTION``: Spark fails in reads of ancient ``INT96`` timestamps
- that are ambiguous between the two calendars.
- * ``CORRECTED``: loading of ``INT96`` timestamps without rebasing.
- * ``LEGACY``: perform rebasing of ancient ``INT96`` timestamps from the Julian
- to Proleptic Gregorian calendar.
-
- If None is set, the value of the SQL config
- ``spark.sql.parquet.int96RebaseModeInRead`` is used by default.
+ options**
+ Please refer to
+ `Data Source Option <https://spark.apache.org/docs/latest/sql-data-sources-parquet.html#data-source-option>`_
+ for the options.
+ Note that you should refer to the documentation of the specific version you're using
+ because the link above always points out the latest documentation.
Review comment:
Thanks :)
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