Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/6601#discussion_r31591932
--- Diff: python/pyspark/sql/context.py ---
@@ -359,18 +365,12 @@ def registerDataFrameAsTable(self, df, tableName):
else:
raise ValueError("Can only register DataFrame as table")
- @since(1.0)
def parquetFile(self, *paths):
"""Loads a Parquet file, returning the result as a
:class:`DataFrame`.
- >>> import tempfile, shutil
- >>> parquetFile = tempfile.mkdtemp()
- >>> shutil.rmtree(parquetFile)
- >>> df.saveAsParquetFile(parquetFile)
- >>> df2 = sqlContext.parquetFile(parquetFile)
- >>> sorted(df.collect()) == sorted(df2.collect())
- True
+ .. note:: Deprecated in 1.4, use :func:`DataFrameReader.parquet`
instead.
--- End diff --
This is a different implementation than data source api, may have different
behavior. Even we deprecate it, should still have tests for it (make sure it's
not broken).
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