diff --git a/python/pyspark/sql/streaming.py b/python/pyspark/sql/streaming.py
index b18453b2a4f96..02b14ea187cba 100644
--- a/python/pyspark/sql/streaming.py
+++ b/python/pyspark/sql/streaming.py
@@ -404,7 +404,7 @@ def json(self, path, schema=None, primitivesAsString=None, prefersDecimal=None,
              allowComments=None, allowUnquotedFieldNames=None, allowSingleQuotes=None,
              allowNumericLeadingZero=None, allowBackslashEscapingAnyCharacter=None,
              mode=None, columnNameOfCorruptRecord=None, dateFormat=None, timestampFormat=None,
-             multiLine=None,  allowUnquotedControlChars=None, lineSep=None):
+             multiLine=None,  allowUnquotedControlChars=None, lineSep=None, locale=None):
         """
         Loads a JSON file stream and returns the results as a :class:`DataFrame`.
 
@@ -469,6 +469,9 @@ def json(self, path, schema=None, primitivesAsString=None, prefersDecimal=None,
                                           including tab and line feed characters) or not.
         :param lineSep: defines the line separator that should be used for parsing. If None is
                         set, it covers all ``\\r``, ``\\r\\n`` and ``\\n``.
+        :param locale: sets a locale as language tag in IETF BCP 47 format. If None is set,
+                       it uses the default value, ``en-US``. For instance, ``locale`` is used while
+                       parsing dates and timestamps.
 
         >>> json_sdf = spark.readStream.json(tempfile.mkdtemp(), schema = sdf_schema)
         >>> json_sdf.isStreaming
@@ -483,7 +486,7 @@ def json(self, path, schema=None, primitivesAsString=None, prefersDecimal=None,
             allowBackslashEscapingAnyCharacter=allowBackslashEscapingAnyCharacter,
             mode=mode, columnNameOfCorruptRecord=columnNameOfCorruptRecord, dateFormat=dateFormat,
             timestampFormat=timestampFormat, multiLine=multiLine,
-            allowUnquotedControlChars=allowUnquotedControlChars, lineSep=lineSep)
+            allowUnquotedControlChars=allowUnquotedControlChars, lineSep=lineSep, locale=locale)
         if isinstance(path, basestring):
             return self._df(self._jreader.json(path))
         else:
@@ -564,7 +567,7 @@ def csv(self, path, schema=None, sep=None, encoding=None, quote=None, escape=Non
             negativeInf=None, dateFormat=None, timestampFormat=None, maxColumns=None,
             maxCharsPerColumn=None, maxMalformedLogPerPartition=None, mode=None,
             columnNameOfCorruptRecord=None, multiLine=None, charToEscapeQuoteEscaping=None,
-            enforceSchema=None, emptyValue=None):
+            enforceSchema=None, emptyValue=None, locale=None):
         r"""Loads a CSV file stream and returns the result as a :class:`DataFrame`.
 
         This function will go through the input once to determine the input schema if
@@ -660,6 +663,9 @@ def csv(self, path, schema=None, sep=None, encoding=None, quote=None, escape=Non
                                           different, ``\0`` otherwise..
         :param emptyValue: sets the string representation of an empty value. If None is set, it uses
                            the default value, empty string.
+        :param locale: sets a locale as language tag in IETF BCP 47 format. If None is set,
+                       it uses the default value, ``en-US``. For instance, ``locale`` is used while
+                       parsing dates and timestamps.
 
         >>> csv_sdf = spark.readStream.csv(tempfile.mkdtemp(), schema = sdf_schema)
         >>> csv_sdf.isStreaming
@@ -677,7 +683,7 @@ def csv(self, path, schema=None, sep=None, encoding=None, quote=None, escape=Non
             maxMalformedLogPerPartition=maxMalformedLogPerPartition, mode=mode,
             columnNameOfCorruptRecord=columnNameOfCorruptRecord, multiLine=multiLine,
             charToEscapeQuoteEscaping=charToEscapeQuoteEscaping, enforceSchema=enforceSchema,
-            emptyValue=emptyValue)
+            emptyValue=emptyValue, locale=locale)
         if isinstance(path, basestring):
             return self._df(self._jreader.csv(path))
         else: