Github user chenghao-intel commented on a diff in the pull request:
https://github.com/apache/spark/pull/7444#discussion_r34796606
--- Diff: python/pyspark/sql/readwriter.py ---
@@ -146,14 +146,24 @@ def table(self, tableName):
return self._df(self._jreader.table(tableName))
@since(1.4)
- def parquet(self, *path):
+ def parquet(self, *paths):
"""Loads a Parquet file, returning the result as a
:class:`DataFrame`.
>>> df =
sqlContext.read.parquet('python/test_support/sql/parquet_partitioned')
>>> df.dtypes
[('name', 'string'), ('year', 'int'), ('month', 'int'), ('day',
'int')]
"""
- return
self._df(self._jreader.parquet(_to_seq(self._sqlContext._sc, path)))
+ return
self._df(self._jreader.parquet(_to_seq(self._sqlContext._sc, paths)))
+
+ @since(1.5)
+ def orc(self, path):
--- End diff --
As the function `parquet` support multiple path in loading, should the api
`orc` support that also?
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