Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/17077#discussion_r115149598
--- Diff: python/pyspark/sql/readwriter.py ---
@@ -563,6 +563,63 @@ def partitionBy(self, *cols):
self._jwrite = self._jwrite.partitionBy(_to_seq(self._spark._sc,
cols))
return self
+ @since(2.3)
+ def bucketBy(self, numBuckets, col, *cols):
+ """Buckets the output by the given columns.If specified,
+ the output is laid out on the file system similar to Hive's
bucketing scheme.
+
+ :param numBuckets: the number of buckets to save
+ :param col: a name of a column, or a list of names.
+ :param cols: additional names (optional). If `col` is a list it
should be empty.
+
+ .. note:: Applicable for file-based data sources in combination
with
+ :py:meth:`DataFrameWriter.saveAsTable`.
--- End diff --
This is not accurate. We also can use `save` to store the bucked tables
without saving its metadata in metastore.
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