diff --git a/python/pyspark/sql/__init__.py b/python/pyspark/sql/__init__.py
index 634c575ecd80e1bc94f169cea85d4594b5e26561..66b0bff2908b7be5f0b738a626dd578b6ef2a78a 100644
--- a/python/pyspark/sql/__init__.py
+++ b/python/pyspark/sql/__init__.py
@@ -41,6 +41,13 @@ Important classes of Spark SQL and DataFrames:
 """
 from __future__ import absolute_import
 
+
+def since(version):
+    def deco(f):
+        f.__doc__ = f.__doc__.rstrip() + "\n\n.. versionadded:: %s" % version
+        return f
+    return deco
+
 # fix the module name conflict for Python 3+
 import sys
 from . import _types as types
diff --git a/python/pyspark/sql/column.py b/python/pyspark/sql/column.py
index fc7ad674daa5bf793ed915381f4068f59ff9c843..d03bb6d33dd03389c4294a9462c69b412de825c1 100644
--- a/python/pyspark/sql/column.py
+++ b/python/pyspark/sql/column.py
@@ -23,6 +23,7 @@ if sys.version >= '3':
 
 from pyspark.context import SparkContext
 from pyspark.rdd import ignore_unicode_prefix
+from pyspark.sql import since
 from pyspark.sql.types import *
 
 __all__ = ["DataFrame", "Column", "SchemaRDD", "DataFrameNaFunctions",
@@ -114,6 +115,8 @@ class Column(object):
         # 2. Create from an expression
         df.colName + 1
         1 / df.colName
+
+    .. versionadded:: 1.3
     """
 
     def __init__(self, jc):
@@ -159,6 +162,7 @@ class Column(object):
     bitwiseAND = _bin_op("bitwiseAND")
     bitwiseXOR = _bin_op("bitwiseXOR")
 
+    @since(1.3)
     def getItem(self, key):
         """An expression that gets an item at position `ordinal` out of a list,
          or gets an item by key out of a dict.
@@ -179,6 +183,7 @@ class Column(object):
         """
         return self[key]
 
+    @since(1.3)
     def getField(self, name):
         """An expression that gets a field by name in a StructField.
 
@@ -211,6 +216,7 @@ class Column(object):
     endswith = _bin_op("endsWith")
 
     @ignore_unicode_prefix
+    @since(1.3)
     def substr(self, startPos, length):
         """
         Return a :class:`Column` which is a substring of the column
@@ -234,6 +240,7 @@ class Column(object):
     __getslice__ = substr
 
     @ignore_unicode_prefix
+    @since(1.3)
     def inSet(self, *cols):
         """ A boolean expression that is evaluated to true if the value of this
         expression is contained by the evaluated values of the arguments.
@@ -259,6 +266,7 @@ class Column(object):
     isNull = _unary_op("isNull", "True if the current expression is null.")
     isNotNull = _unary_op("isNotNull", "True if the current expression is not null.")
 
+    @since(1.3)
     def alias(self, *alias):
         """Returns this column aliased with a new name or names (in the case of expressions that
         return more than one column, such as explode).
@@ -274,6 +282,7 @@ class Column(object):
             return Column(getattr(self._jc, "as")(_to_seq(sc, list(alias))))
 
     @ignore_unicode_prefix
+    @since(1.3)
     def cast(self, dataType):
         """ Convert the column into type `dataType`
 
@@ -294,6 +303,7 @@ class Column(object):
         return Column(jc)
 
     @ignore_unicode_prefix
+    @since(1.3)
     def between(self, lowerBound, upperBound):
         """ A boolean expression that is evaluated to true if the value of this
         expression is between the given columns.
@@ -301,6 +311,7 @@ class Column(object):
         return (self >= lowerBound) & (self <= upperBound)
 
     @ignore_unicode_prefix
+    @since(1.4)
     def when(self, condition, value):
         """Evaluates a list of conditions and returns one of multiple possible result expressions.
         If :func:`Column.otherwise` is not invoked, None is returned for unmatched conditions.
@@ -319,6 +330,7 @@ class Column(object):
         return Column(jc)
 
     @ignore_unicode_prefix
+    @since(1.4)
     def otherwise(self, value):
         """Evaluates a list of conditions and returns one of multiple possible result expressions.
         If :func:`Column.otherwise` is not invoked, None is returned for unmatched conditions.
diff --git a/python/pyspark/sql/context.py b/python/pyspark/sql/context.py
index 7543475014bd2e6951cdf336d712a0eaa037ab2a..51f12c5bb41982a56499ab5fa0c964ba20387ef1 100644
--- a/python/pyspark/sql/context.py
+++ b/python/pyspark/sql/context.py
@@ -28,6 +28,7 @@ from py4j.protocol import Py4JError
 
 from pyspark.rdd import RDD, _prepare_for_python_RDD, ignore_unicode_prefix
 from pyspark.serializers import AutoBatchedSerializer, PickleSerializer
+from pyspark.sql import since
 from pyspark.sql.types import Row, StringType, StructType, _verify_type, \
     _infer_schema, _has_nulltype, _merge_type, _create_converter, _python_to_sql_converter
 from pyspark.sql.dataframe import DataFrame
@@ -106,11 +107,13 @@ class SQLContext(object):
             self._scala_SQLContext = self._jvm.SQLContext(self._jsc.sc())
         return self._scala_SQLContext
 
+    @since(1.3)
     def setConf(self, key, value):
         """Sets the given Spark SQL configuration property.
         """
         self._ssql_ctx.setConf(key, value)
 
+    @since(1.3)
     def getConf(self, key, defaultValue):
         """Returns the value of Spark SQL configuration property for the given key.
 
@@ -119,10 +122,12 @@ class SQLContext(object):
         return self._ssql_ctx.getConf(key, defaultValue)
 
     @property
+    @since("1.3.1")
     def udf(self):
         """Returns a :class:`UDFRegistration` for UDF registration."""
         return UDFRegistration(self)
 
+    @since(1.4)
     def range(self, start, end, step=1, numPartitions=None):
         """
         Create a :class:`DataFrame` with single LongType column named `id`,
@@ -144,6 +149,7 @@ class SQLContext(object):
         return DataFrame(jdf, self)
 
     @ignore_unicode_prefix
+    @since(1.2)
     def registerFunction(self, name, f, returnType=StringType()):
         """Registers a lambda function as a UDF so it can be used in SQL statements.
 
@@ -210,7 +216,8 @@ class SQLContext(object):
 
     @ignore_unicode_prefix
     def inferSchema(self, rdd, samplingRatio=None):
-        """::note: Deprecated in 1.3, use :func:`createDataFrame` instead.
+        """
+        .. note:: Deprecated in 1.3, use :func:`createDataFrame` instead.
         """
         warnings.warn("inferSchema is deprecated, please use createDataFrame instead")
 
@@ -221,7 +228,8 @@ class SQLContext(object):
 
     @ignore_unicode_prefix
     def applySchema(self, rdd, schema):
-        """::note: Deprecated in 1.3, use :func:`createDataFrame` instead.
+        """
+        .. note:: Deprecated in 1.3, use :func:`createDataFrame` instead.
         """
         warnings.warn("applySchema is deprecated, please use createDataFrame instead")
 
@@ -233,6 +241,7 @@ class SQLContext(object):
 
         return self.createDataFrame(rdd, schema)
 
+    @since(1.3)
     @ignore_unicode_prefix
     def createDataFrame(self, data, schema=None, samplingRatio=None):
         """
@@ -337,6 +346,7 @@ class SQLContext(object):
         df = self._ssql_ctx.applySchemaToPythonRDD(jrdd.rdd(), schema.json())
         return DataFrame(df, self)
 
+    @since(1.3)
     def registerDataFrameAsTable(self, df, tableName):
         """Registers the given :class:`DataFrame` as a temporary table in the catalog.
 
@@ -349,6 +359,7 @@ class SQLContext(object):
         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`.
 
@@ -367,6 +378,7 @@ class SQLContext(object):
         jdf = self._ssql_ctx.parquetFile(jpaths)
         return DataFrame(jdf, self)
 
+    @since(1.0)
     def jsonFile(self, path, schema=None, samplingRatio=1.0):
         """Loads a text file storing one JSON object per line as a :class:`DataFrame`.
 
@@ -407,6 +419,7 @@ class SQLContext(object):
         return DataFrame(df, self)
 
     @ignore_unicode_prefix
+    @since(1.0)
     def jsonRDD(self, rdd, schema=None, samplingRatio=1.0):
         """Loads an RDD storing one JSON object per string as a :class:`DataFrame`.
 
@@ -449,6 +462,7 @@ class SQLContext(object):
             df = self._ssql_ctx.jsonRDD(jrdd.rdd(), scala_datatype)
         return DataFrame(df, self)
 
+    @since(1.3)
     def load(self, path=None, source=None, schema=None, **options):
         """Returns the dataset in a data source as a :class:`DataFrame`.
 
@@ -460,6 +474,7 @@ class SQLContext(object):
         """
         return self.read.load(path, source, schema, **options)
 
+    @since(1.3)
     def createExternalTable(self, tableName, path=None, source=None,
                             schema=None, **options):
         """Creates an external table based on the dataset in a data source.
@@ -489,6 +504,7 @@ class SQLContext(object):
         return DataFrame(df, self)
 
     @ignore_unicode_prefix
+    @since(1.0)
     def sql(self, sqlQuery):
         """Returns a :class:`DataFrame` representing the result of the given query.
 
@@ -499,6 +515,7 @@ class SQLContext(object):
         """
         return DataFrame(self._ssql_ctx.sql(sqlQuery), self)
 
+    @since(1.0)
     def table(self, tableName):
         """Returns the specified table as a :class:`DataFrame`.
 
@@ -510,6 +527,7 @@ class SQLContext(object):
         return DataFrame(self._ssql_ctx.table(tableName), self)
 
     @ignore_unicode_prefix
+    @since(1.3)
     def tables(self, dbName=None):
         """Returns a :class:`DataFrame` containing names of tables in the given database.
 
@@ -528,6 +546,7 @@ class SQLContext(object):
         else:
             return DataFrame(self._ssql_ctx.tables(dbName), self)
 
+    @since(1.3)
     def tableNames(self, dbName=None):
         """Returns a list of names of tables in the database ``dbName``.
 
@@ -544,25 +563,29 @@ class SQLContext(object):
         else:
             return [name for name in self._ssql_ctx.tableNames(dbName)]
 
+    @since(1.0)
     def cacheTable(self, tableName):
         """Caches the specified table in-memory."""
         self._ssql_ctx.cacheTable(tableName)
 
+    @since(1.0)
     def uncacheTable(self, tableName):
         """Removes the specified table from the in-memory cache."""
         self._ssql_ctx.uncacheTable(tableName)
 
+    @since(1.3)
     def clearCache(self):
         """Removes all cached tables from the in-memory cache. """
         self._ssql_ctx.clearCache()
 
     @property
+    @since(1.4)
     def read(self):
         """
         Returns a :class:`DataFrameReader` that can be used to read data
         in as a :class:`DataFrame`.
 
-        ::note: Experimental
+        .. note:: Experimental
 
         >>> sqlContext.read
         <pyspark.sql.readwriter.DataFrameReader object at ...>
diff --git a/python/pyspark/sql/dataframe.py b/python/pyspark/sql/dataframe.py
index f2280b5100e53172ee082d6af4d769393741adba..3fc7d0048edf6924202294132aa2c8d3804ba915 100644
--- a/python/pyspark/sql/dataframe.py
+++ b/python/pyspark/sql/dataframe.py
@@ -29,6 +29,7 @@ from pyspark.rdd import RDD, _load_from_socket, ignore_unicode_prefix
 from pyspark.serializers import BatchedSerializer, PickleSerializer, UTF8Deserializer
 from pyspark.storagelevel import StorageLevel
 from pyspark.traceback_utils import SCCallSiteSync
+from pyspark.sql import since
 from pyspark.sql.types import _create_cls, _parse_datatype_json_string
 from pyspark.sql.column import Column, _to_seq, _to_java_column
 from pyspark.sql.readwriter import DataFrameWriter
@@ -60,6 +61,8 @@ class DataFrame(object):
 
         people.filter(people.age > 30).join(department, people.deptId == department.id)) \
           .groupBy(department.name, "gender").agg({"salary": "avg", "age": "max"})
+
+    .. versionadded:: 1.3
     """
 
     def __init__(self, jdf, sql_ctx):
@@ -71,6 +74,7 @@ class DataFrame(object):
         self._lazy_rdd = None
 
     @property
+    @since(1.3)
     def rdd(self):
         """Returns the content as an :class:`pyspark.RDD` of :class:`Row`.
         """
@@ -88,18 +92,21 @@ class DataFrame(object):
         return self._lazy_rdd
 
     @property
+    @since("1.3.1")
     def na(self):
         """Returns a :class:`DataFrameNaFunctions` for handling missing values.
         """
         return DataFrameNaFunctions(self)
 
     @property
+    @since(1.4)
     def stat(self):
         """Returns a :class:`DataFrameStatFunctions` for statistic functions.
         """
         return DataFrameStatFunctions(self)
 
     @ignore_unicode_prefix
+    @since(1.3)
     def toJSON(self, use_unicode=True):
         """Converts a :class:`DataFrame` into a :class:`RDD` of string.
 
@@ -111,6 +118,7 @@ class DataFrame(object):
         rdd = self._jdf.toJSON()
         return RDD(rdd.toJavaRDD(), self._sc, UTF8Deserializer(use_unicode))
 
+    @since(1.3)
     def saveAsParquetFile(self, path):
         """Saves the contents as a Parquet file, preserving the schema.
 
@@ -127,6 +135,7 @@ class DataFrame(object):
         """
         self._jdf.saveAsParquetFile(path)
 
+    @since(1.3)
     def registerTempTable(self, name):
         """Registers this RDD as a temporary table using the given name.
 
@@ -140,11 +149,13 @@ class DataFrame(object):
         """
         self._jdf.registerTempTable(name)
 
+    @since(1.3)
     def registerAsTable(self, name):
         """DEPRECATED: use :func:`registerTempTable` instead"""
         warnings.warn("Use registerTempTable instead of registerAsTable.", DeprecationWarning)
         self.registerTempTable(name)
 
+    @since(1.3)
     def insertInto(self, tableName, overwrite=False):
         """Inserts the contents of this :class:`DataFrame` into the specified table.
 
@@ -152,6 +163,7 @@ class DataFrame(object):
         """
         self._jdf.insertInto(tableName, overwrite)
 
+    @since(1.3)
     def saveAsTable(self, tableName, source=None, mode="error", **options):
         """Saves the contents of this :class:`DataFrame` to a data source as a table.
 
@@ -169,6 +181,7 @@ class DataFrame(object):
         """
         self.write.saveAsTable(tableName, source, mode, **options)
 
+    @since(1.3)
     def save(self, path=None, source=None, mode="error", **options):
         """Saves the contents of the :class:`DataFrame` to a data source.
 
@@ -187,6 +200,7 @@ class DataFrame(object):
         return self.write.save(path, source, mode, **options)
 
     @property
+    @since(1.4)
     def write(self):
         """
         Interface for saving the content of the :class:`DataFrame` out
@@ -194,7 +208,7 @@ class DataFrame(object):
 
         :return :class:`DataFrameWriter`
 
-        ::note: Experimental
+        .. note:: Experimental
 
         >>> df.write
         <pyspark.sql.readwriter.DataFrameWriter object at ...>
@@ -202,6 +216,7 @@ class DataFrame(object):
         return DataFrameWriter(self)
 
     @property
+    @since(1.3)
     def schema(self):
         """Returns the schema of this :class:`DataFrame` as a :class:`types.StructType`.
 
@@ -212,6 +227,7 @@ class DataFrame(object):
             self._schema = _parse_datatype_json_string(self._jdf.schema().json())
         return self._schema
 
+    @since(1.3)
     def printSchema(self):
         """Prints out the schema in the tree format.
 
@@ -223,6 +239,7 @@ class DataFrame(object):
         """
         print(self._jdf.schema().treeString())
 
+    @since(1.3)
     def explain(self, extended=False):
         """Prints the (logical and physical) plans to the console for debugging purpose.
 
@@ -248,12 +265,14 @@ class DataFrame(object):
         else:
             print(self._jdf.queryExecution().executedPlan().toString())
 
+    @since(1.3)
     def isLocal(self):
         """Returns ``True`` if the :func:`collect` and :func:`take` methods can be run locally
         (without any Spark executors).
         """
         return self._jdf.isLocal()
 
+    @since(1.3)
     def show(self, n=20):
         """Prints the first ``n`` rows to the console.
 
@@ -272,6 +291,7 @@ class DataFrame(object):
     def __repr__(self):
         return "DataFrame[%s]" % (", ".join("%s: %s" % c for c in self.dtypes))
 
+    @since(1.3)
     def count(self):
         """Returns the number of rows in this :class:`DataFrame`.
 
@@ -281,6 +301,7 @@ class DataFrame(object):
         return int(self._jdf.count())
 
     @ignore_unicode_prefix
+    @since(1.3)
     def collect(self):
         """Returns all the records as a list of :class:`Row`.
 
@@ -294,6 +315,7 @@ class DataFrame(object):
         return [cls(r) for r in rs]
 
     @ignore_unicode_prefix
+    @since(1.3)
     def limit(self, num):
         """Limits the result count to the number specified.
 
@@ -306,6 +328,7 @@ class DataFrame(object):
         return DataFrame(jdf, self.sql_ctx)
 
     @ignore_unicode_prefix
+    @since(1.3)
     def take(self, num):
         """Returns the first ``num`` rows as a :class:`list` of :class:`Row`.
 
@@ -315,6 +338,7 @@ class DataFrame(object):
         return self.limit(num).collect()
 
     @ignore_unicode_prefix
+    @since(1.3)
     def map(self, f):
         """ Returns a new :class:`RDD` by applying a the ``f`` function to each :class:`Row`.
 
@@ -326,6 +350,7 @@ class DataFrame(object):
         return self.rdd.map(f)
 
     @ignore_unicode_prefix
+    @since(1.3)
     def flatMap(self, f):
         """ Returns a new :class:`RDD` by first applying the ``f`` function to each :class:`Row`,
         and then flattening the results.
@@ -337,6 +362,7 @@ class DataFrame(object):
         """
         return self.rdd.flatMap(f)
 
+    @since(1.3)
     def mapPartitions(self, f, preservesPartitioning=False):
         """Returns a new :class:`RDD` by applying the ``f`` function to each partition.
 
@@ -349,6 +375,7 @@ class DataFrame(object):
         """
         return self.rdd.mapPartitions(f, preservesPartitioning)
 
+    @since(1.3)
     def foreach(self, f):
         """Applies the ``f`` function to all :class:`Row` of this :class:`DataFrame`.
 
@@ -360,6 +387,7 @@ class DataFrame(object):
         """
         return self.rdd.foreach(f)
 
+    @since(1.3)
     def foreachPartition(self, f):
         """Applies the ``f`` function to each partition of this :class:`DataFrame`.
 
@@ -372,6 +400,7 @@ class DataFrame(object):
         """
         return self.rdd.foreachPartition(f)
 
+    @since(1.3)
     def cache(self):
         """ Persists with the default storage level (C{MEMORY_ONLY_SER}).
         """
@@ -379,6 +408,7 @@ class DataFrame(object):
         self._jdf.cache()
         return self
 
+    @since(1.3)
     def persist(self, storageLevel=StorageLevel.MEMORY_ONLY_SER):
         """Sets the storage level to persist its values across operations
         after the first time it is computed. This can only be used to assign
@@ -390,6 +420,7 @@ class DataFrame(object):
         self._jdf.persist(javaStorageLevel)
         return self
 
+    @since(1.3)
     def unpersist(self, blocking=True):
         """Marks the :class:`DataFrame` as non-persistent, and remove all blocks for it from
         memory and disk.
@@ -398,6 +429,7 @@ class DataFrame(object):
         self._jdf.unpersist(blocking)
         return self
 
+    @since(1.4)
     def coalesce(self, numPartitions):
         """
         Returns a new :class:`DataFrame` that has exactly `numPartitions` partitions.
@@ -412,6 +444,7 @@ class DataFrame(object):
         """
         return DataFrame(self._jdf.coalesce(numPartitions), self.sql_ctx)
 
+    @since(1.3)
     def repartition(self, numPartitions):
         """Returns a new :class:`DataFrame` that has exactly ``numPartitions`` partitions.
 
@@ -420,6 +453,7 @@ class DataFrame(object):
         """
         return DataFrame(self._jdf.repartition(numPartitions), self.sql_ctx)
 
+    @since(1.3)
     def distinct(self):
         """Returns a new :class:`DataFrame` containing the distinct rows in this :class:`DataFrame`.
 
@@ -428,6 +462,7 @@ class DataFrame(object):
         """
         return DataFrame(self._jdf.distinct(), self.sql_ctx)
 
+    @since(1.3)
     def sample(self, withReplacement, fraction, seed=None):
         """Returns a sampled subset of this :class:`DataFrame`.
 
@@ -439,6 +474,7 @@ class DataFrame(object):
         rdd = self._jdf.sample(withReplacement, fraction, long(seed))
         return DataFrame(rdd, self.sql_ctx)
 
+    @since(1.4)
     def randomSplit(self, weights, seed=None):
         """Randomly splits this :class:`DataFrame` with the provided weights.
 
@@ -461,6 +497,7 @@ class DataFrame(object):
         return [DataFrame(rdd, self.sql_ctx) for rdd in rdd_array]
 
     @property
+    @since(1.3)
     def dtypes(self):
         """Returns all column names and their data types as a list.
 
@@ -471,6 +508,7 @@ class DataFrame(object):
 
     @property
     @ignore_unicode_prefix
+    @since(1.3)
     def columns(self):
         """Returns all column names as a list.
 
@@ -480,6 +518,7 @@ class DataFrame(object):
         return [f.name for f in self.schema.fields]
 
     @ignore_unicode_prefix
+    @since(1.3)
     def alias(self, alias):
         """Returns a new :class:`DataFrame` with an alias set.
 
@@ -494,6 +533,7 @@ class DataFrame(object):
         return DataFrame(getattr(self._jdf, "as")(alias), self.sql_ctx)
 
     @ignore_unicode_prefix
+    @since(1.3)
     def join(self, other, joinExprs=None, joinType=None):
         """Joins with another :class:`DataFrame`, using the given join expression.
 
@@ -527,6 +567,7 @@ class DataFrame(object):
         return DataFrame(jdf, self.sql_ctx)
 
     @ignore_unicode_prefix
+    @since(1.3)
     def sort(self, *cols, **kwargs):
         """Returns a new :class:`DataFrame` sorted by the specified column(s).
 
@@ -586,6 +627,7 @@ class DataFrame(object):
             cols = cols[0]
         return self._jseq(cols, _to_java_column)
 
+    @since("1.3.1")
     def describe(self, *cols):
         """Computes statistics for numeric columns.
 
@@ -607,6 +649,7 @@ class DataFrame(object):
         return DataFrame(jdf, self.sql_ctx)
 
     @ignore_unicode_prefix
+    @since(1.3)
     def head(self, n=None):
         """
         Returns the first ``n`` rows as a list of :class:`Row`,
@@ -623,6 +666,7 @@ class DataFrame(object):
         return self.take(n)
 
     @ignore_unicode_prefix
+    @since(1.3)
     def first(self):
         """Returns the first row as a :class:`Row`.
 
@@ -632,6 +676,7 @@ class DataFrame(object):
         return self.head()
 
     @ignore_unicode_prefix
+    @since(1.3)
     def __getitem__(self, item):
         """Returns the column as a :class:`Column`.
 
@@ -659,6 +704,7 @@ class DataFrame(object):
         else:
             raise TypeError("unexpected item type: %s" % type(item))
 
+    @since(1.3)
     def __getattr__(self, name):
         """Returns the :class:`Column` denoted by ``name``.
 
@@ -672,6 +718,7 @@ class DataFrame(object):
         return Column(jc)
 
     @ignore_unicode_prefix
+    @since(1.3)
     def select(self, *cols):
         """Projects a set of expressions and returns a new :class:`DataFrame`.
 
@@ -689,6 +736,7 @@ class DataFrame(object):
         jdf = self._jdf.select(self._jcols(*cols))
         return DataFrame(jdf, self.sql_ctx)
 
+    @since(1.3)
     def selectExpr(self, *expr):
         """Projects a set of SQL expressions and returns a new :class:`DataFrame`.
 
@@ -703,6 +751,7 @@ class DataFrame(object):
         return DataFrame(jdf, self.sql_ctx)
 
     @ignore_unicode_prefix
+    @since(1.3)
     def filter(self, condition):
         """Filters rows using the given condition.
 
@@ -732,6 +781,7 @@ class DataFrame(object):
     where = filter
 
     @ignore_unicode_prefix
+    @since(1.3)
     def groupBy(self, *cols):
         """Groups the :class:`DataFrame` using the specified columns,
         so we can run aggregation on them. See :class:`GroupedData`
@@ -755,6 +805,7 @@ class DataFrame(object):
         from pyspark.sql.group import GroupedData
         return GroupedData(jdf, self.sql_ctx)
 
+    @since(1.3)
     def agg(self, *exprs):
         """ Aggregate on the entire :class:`DataFrame` without groups
         (shorthand for ``df.groupBy.agg()``).
@@ -767,6 +818,7 @@ class DataFrame(object):
         """
         return self.groupBy().agg(*exprs)
 
+    @since(1.3)
     def unionAll(self, other):
         """ Return a new :class:`DataFrame` containing union of rows in this
         frame and another frame.
@@ -775,6 +827,7 @@ class DataFrame(object):
         """
         return DataFrame(self._jdf.unionAll(other._jdf), self.sql_ctx)
 
+    @since(1.3)
     def intersect(self, other):
         """ Return a new :class:`DataFrame` containing rows only in
         both this frame and another frame.
@@ -783,6 +836,7 @@ class DataFrame(object):
         """
         return DataFrame(self._jdf.intersect(other._jdf), self.sql_ctx)
 
+    @since(1.3)
     def subtract(self, other):
         """ Return a new :class:`DataFrame` containing rows in this frame
         but not in another frame.
@@ -791,6 +845,7 @@ class DataFrame(object):
         """
         return DataFrame(getattr(self._jdf, "except")(other._jdf), self.sql_ctx)
 
+    @since(1.4)
     def dropDuplicates(self, subset=None):
         """Return a new :class:`DataFrame` with duplicate rows removed,
         optionally only considering certain columns.
@@ -821,6 +876,7 @@ class DataFrame(object):
             jdf = self._jdf.dropDuplicates(self._jseq(subset))
         return DataFrame(jdf, self.sql_ctx)
 
+    @since("1.3.1")
     def dropna(self, how='any', thresh=None, subset=None):
         """Returns a new :class:`DataFrame` omitting rows with null values.
 
@@ -863,6 +919,7 @@ class DataFrame(object):
 
         return DataFrame(self._jdf.na().drop(thresh, self._jseq(subset)), self.sql_ctx)
 
+    @since("1.3.1")
     def fillna(self, value, subset=None):
         """Replace null values, alias for ``na.fill()``.
 
@@ -924,6 +981,7 @@ class DataFrame(object):
 
             return DataFrame(self._jdf.na().fill(value, self._jseq(subset)), self.sql_ctx)
 
+    @since(1.4)
     def replace(self, to_replace, value, subset=None):
         """Returns a new :class:`DataFrame` replacing a value with another value.
 
@@ -999,6 +1057,7 @@ class DataFrame(object):
         return DataFrame(
             self._jdf.na().replace(self._jseq(subset), self._jmap(rep_dict)), self.sql_ctx)
 
+    @since(1.4)
     def corr(self, col1, col2, method=None):
         """
         Calculates the correlation of two columns of a DataFrame as a double value. Currently only
@@ -1020,6 +1079,7 @@ class DataFrame(object):
                              "coefficient is supported.")
         return self._jdf.stat().corr(col1, col2, method)
 
+    @since(1.4)
     def cov(self, col1, col2):
         """
         Calculate the sample covariance for the given columns, specified by their names, as a
@@ -1034,6 +1094,7 @@ class DataFrame(object):
             raise ValueError("col2 should be a string.")
         return self._jdf.stat().cov(col1, col2)
 
+    @since(1.4)
     def crosstab(self, col1, col2):
         """
         Computes a pair-wise frequency table of the given columns. Also known as a contingency
@@ -1055,6 +1116,7 @@ class DataFrame(object):
             raise ValueError("col2 should be a string.")
         return DataFrame(self._jdf.stat().crosstab(col1, col2), self.sql_ctx)
 
+    @since(1.4)
     def freqItems(self, cols, support=None):
         """
         Finding frequent items for columns, possibly with false positives. Using the
@@ -1076,6 +1138,7 @@ class DataFrame(object):
         return DataFrame(self._jdf.stat().freqItems(_to_seq(self._sc, cols), support), self.sql_ctx)
 
     @ignore_unicode_prefix
+    @since(1.3)
     def withColumn(self, colName, col):
         """Returns a new :class:`DataFrame` by adding a column.
 
@@ -1088,6 +1151,7 @@ class DataFrame(object):
         return self.select('*', col.alias(colName))
 
     @ignore_unicode_prefix
+    @since(1.3)
     def withColumnRenamed(self, existing, new):
         """Returns a new :class:`DataFrame` by renaming an existing column.
 
@@ -1102,6 +1166,7 @@ class DataFrame(object):
                 for c in self.columns]
         return self.select(*cols)
 
+    @since(1.4)
     @ignore_unicode_prefix
     def drop(self, colName):
         """Returns a new :class:`DataFrame` that drops the specified column.
@@ -1114,6 +1179,7 @@ class DataFrame(object):
         jdf = self._jdf.drop(colName)
         return DataFrame(jdf, self.sql_ctx)
 
+    @since(1.3)
     def toPandas(self):
         """Returns the contents of this :class:`DataFrame` as Pandas ``pandas.DataFrame``.
 
diff --git a/python/pyspark/sql/functions.py b/python/pyspark/sql/functions.py
index fbe9bf5b526af233ae7b3a8bf8a3300dc65ac3bd..9b0d7f3e6656eae89c324529dba79c0e1e428cdc 100644
--- a/python/pyspark/sql/functions.py
+++ b/python/pyspark/sql/functions.py
@@ -26,6 +26,7 @@ if sys.version < "3":
 from pyspark import SparkContext
 from pyspark.rdd import _prepare_for_python_RDD, ignore_unicode_prefix
 from pyspark.serializers import PickleSerializer, AutoBatchedSerializer
+from pyspark.sql import since
 from pyspark.sql.types import StringType
 from pyspark.sql.column import Column, _to_java_column, _to_seq
 
@@ -78,6 +79,18 @@ _functions = {
     'sqrt': 'Computes the square root of the specified float value.',
     'abs': 'Computes the absolute value.',
 
+    'max': 'Aggregate function: returns the maximum value of the expression in a group.',
+    'min': 'Aggregate function: returns the minimum value of the expression in a group.',
+    'first': 'Aggregate function: returns the first value in a group.',
+    'last': 'Aggregate function: returns the last value in a group.',
+    'count': 'Aggregate function: returns the number of items in a group.',
+    'sum': 'Aggregate function: returns the sum of all values in the expression.',
+    'avg': 'Aggregate function: returns the average of the values in a group.',
+    'mean': 'Aggregate function: returns the average of the values in a group.',
+    'sumDistinct': 'Aggregate function: returns the sum of distinct values in the expression.',
+}
+
+_functions_1_4 = {
     # unary math functions
     'acos': 'Computes the cosine inverse of the given value; the returned angle is in the range' +
             '0.0 through pi.',
@@ -102,21 +115,11 @@ _functions = {
     'tan': 'Computes the tangent of the given value.',
     'tanh': 'Computes the hyperbolic tangent of the given value.',
     'toDegrees': 'Converts an angle measured in radians to an approximately equivalent angle ' +
-             'measured in degrees.',
+                 'measured in degrees.',
     'toRadians': 'Converts an angle measured in degrees to an approximately equivalent angle ' +
-             'measured in radians.',
+                 'measured in radians.',
 
     'bitwiseNOT': 'Computes bitwise not.',
-
-    'max': 'Aggregate function: returns the maximum value of the expression in a group.',
-    'min': 'Aggregate function: returns the minimum value of the expression in a group.',
-    'first': 'Aggregate function: returns the first value in a group.',
-    'last': 'Aggregate function: returns the last value in a group.',
-    'count': 'Aggregate function: returns the number of items in a group.',
-    'sum': 'Aggregate function: returns the sum of all values in the expression.',
-    'avg': 'Aggregate function: returns the average of the values in a group.',
-    'mean': 'Aggregate function: returns the average of the values in a group.',
-    'sumDistinct': 'Aggregate function: returns the sum of distinct values in the expression.',
 }
 
 # math functions that take two arguments as input
@@ -128,15 +131,18 @@ _binary_mathfunctions = {
 }
 
 for _name, _doc in _functions.items():
-    globals()[_name] = _create_function(_name, _doc)
+    globals()[_name] = since(1.3)(_create_function(_name, _doc))
+for _name, _doc in _functions_1_4.items():
+    globals()[_name] = since(1.4)(_create_function(_name, _doc))
 for _name, _doc in _binary_mathfunctions.items():
-    globals()[_name] = _create_binary_mathfunction(_name, _doc)
+    globals()[_name] = since(1.4)(_create_binary_mathfunction(_name, _doc))
 del _name, _doc
 __all__ += _functions.keys()
 __all__ += _binary_mathfunctions.keys()
 __all__.sort()
 
 
+@since(1.4)
 def array(*cols):
     """Creates a new array column.
 
@@ -155,6 +161,7 @@ def array(*cols):
     return Column(jc)
 
 
+@since(1.3)
 def approxCountDistinct(col, rsd=None):
     """Returns a new :class:`Column` for approximate distinct count of ``col``.
 
@@ -169,6 +176,7 @@ def approxCountDistinct(col, rsd=None):
     return Column(jc)
 
 
+@since(1.4)
 def explode(col):
     """Returns a new row for each element in the given array or map.
 
@@ -189,6 +197,7 @@ def explode(col):
     return Column(jc)
 
 
+@since(1.4)
 def coalesce(*cols):
     """Returns the first column that is not null.
 
@@ -225,6 +234,7 @@ def coalesce(*cols):
     return Column(jc)
 
 
+@since(1.3)
 def countDistinct(col, *cols):
     """Returns a new :class:`Column` for distinct count of ``col`` or ``cols``.
 
@@ -239,6 +249,7 @@ def countDistinct(col, *cols):
     return Column(jc)
 
 
+@since(1.4)
 def monotonicallyIncreasingId():
     """A column that generates monotonically increasing 64-bit integers.
 
@@ -259,6 +270,7 @@ def monotonicallyIncreasingId():
     return Column(sc._jvm.functions.monotonicallyIncreasingId())
 
 
+@since(1.4)
 def rand(seed=None):
     """Generates a random column with i.i.d. samples from U[0.0, 1.0].
     """
@@ -270,6 +282,7 @@ def rand(seed=None):
     return Column(jc)
 
 
+@since(1.4)
 def randn(seed=None):
     """Generates a column with i.i.d. samples from the standard normal distribution.
     """
@@ -281,6 +294,7 @@ def randn(seed=None):
     return Column(jc)
 
 
+@since(1.4)
 def sparkPartitionId():
     """A column for partition ID of the Spark task.
 
@@ -294,6 +308,7 @@ def sparkPartitionId():
 
 
 @ignore_unicode_prefix
+@since(1.4)
 def struct(*cols):
     """Creates a new struct column.
 
@@ -312,6 +327,7 @@ def struct(*cols):
     return Column(jc)
 
 
+@since(1.4)
 def when(condition, value):
     """Evaluates a list of conditions and returns one of multiple possible result expressions.
     If :func:`Column.otherwise` is not invoked, None is returned for unmatched conditions.
@@ -336,6 +352,8 @@ def when(condition, value):
 class UserDefinedFunction(object):
     """
     User defined function in Python
+
+    .. versionadded:: 1.3
     """
     def __init__(self, func, returnType):
         self.func = func
@@ -369,6 +387,7 @@ class UserDefinedFunction(object):
         return Column(jc)
 
 
+@since(1.3)
 def udf(f, returnType=StringType()):
     """Creates a :class:`Column` expression representing a user defined function (UDF).
 
diff --git a/python/pyspark/sql/group.py b/python/pyspark/sql/group.py
index 9f7c743c051d332f2e4c2a2b2567bc73576dbdbe..4da472a577eaeb46fa84e15d5b12ce7a62bd6a4a 100644
--- a/python/pyspark/sql/group.py
+++ b/python/pyspark/sql/group.py
@@ -16,6 +16,7 @@
 #
 
 from pyspark.rdd import ignore_unicode_prefix
+from pyspark.sql import since
 from pyspark.sql.column import Column, _to_seq
 from pyspark.sql.dataframe import DataFrame
 from pyspark.sql.types import *
@@ -47,6 +48,8 @@ class GroupedData(object):
     """
     A set of methods for aggregations on a :class:`DataFrame`,
     created by :func:`DataFrame.groupBy`.
+
+    .. versionadded:: 1.3
     """
 
     def __init__(self, jdf, sql_ctx):
@@ -54,6 +57,7 @@ class GroupedData(object):
         self.sql_ctx = sql_ctx
 
     @ignore_unicode_prefix
+    @since(1.3)
     def agg(self, *exprs):
         """Compute aggregates and returns the result as a :class:`DataFrame`.
 
@@ -86,6 +90,7 @@ class GroupedData(object):
         return DataFrame(jdf, self.sql_ctx)
 
     @dfapi
+    @since(1.3)
     def count(self):
         """Counts the number of records for each group.
 
@@ -94,6 +99,7 @@ class GroupedData(object):
         """
 
     @df_varargs_api
+    @since(1.3)
     def mean(self, *cols):
         """Computes average values for each numeric columns for each group.
 
@@ -108,6 +114,7 @@ class GroupedData(object):
         """
 
     @df_varargs_api
+    @since(1.3)
     def avg(self, *cols):
         """Computes average values for each numeric columns for each group.
 
@@ -122,6 +129,7 @@ class GroupedData(object):
         """
 
     @df_varargs_api
+    @since(1.3)
     def max(self, *cols):
         """Computes the max value for each numeric columns for each group.
 
@@ -132,6 +140,7 @@ class GroupedData(object):
         """
 
     @df_varargs_api
+    @since(1.3)
     def min(self, *cols):
         """Computes the min value for each numeric column for each group.
 
@@ -144,6 +153,7 @@ class GroupedData(object):
         """
 
     @df_varargs_api
+    @since(1.3)
     def sum(self, *cols):
         """Compute the sum for each numeric columns for each group.
 
diff --git a/python/pyspark/sql/readwriter.py b/python/pyspark/sql/readwriter.py
index e2b27fb587e7384b3c9b1fc8c832f432345224be..02b3aab2b12e4f1bf38700c36ba6bc284d345018 100644
--- a/python/pyspark/sql/readwriter.py
+++ b/python/pyspark/sql/readwriter.py
@@ -17,6 +17,7 @@
 
 from py4j.java_gateway import JavaClass
 
+from pyspark.sql import since
 from pyspark.sql.column import _to_seq
 from pyspark.sql.types import *
 
@@ -30,6 +31,8 @@ class DataFrameReader(object):
     to access this.
 
     ::Note: Experimental
+
+    .. versionadded:: 1.4
     """
 
     def __init__(self, sqlContext):
@@ -40,6 +43,7 @@ class DataFrameReader(object):
         from pyspark.sql.dataframe import DataFrame
         return DataFrame(jdf, self._sqlContext)
 
+    @since(1.4)
     def load(self, path=None, format=None, schema=None, **options):
         """Loads data from a data source and returns it as a :class`DataFrame`.
 
@@ -63,6 +67,7 @@ class DataFrameReader(object):
         else:
             return self._df(jreader.load())
 
+    @since(1.4)
     def json(self, path, schema=None):
         """
         Loads a JSON file (one object per line) and returns the result as
@@ -107,6 +112,7 @@ class DataFrameReader(object):
             jdf = self._jreader.schema(jschema).json(path)
         return self._df(jdf)
 
+    @since(1.4)
     def table(self, tableName):
         """Returns the specified table as a :class:`DataFrame`.
 
@@ -117,6 +123,7 @@ class DataFrameReader(object):
         """
         return self._df(self._jreader.table(tableName))
 
+    @since(1.4)
     def parquet(self, *path):
         """Loads a Parquet file, returning the result as a :class:`DataFrame`.
 
@@ -130,6 +137,7 @@ class DataFrameReader(object):
         """
         return self._df(self._jreader.parquet(_to_seq(self._sqlContext._sc, path)))
 
+    @since(1.4)
     def jdbc(self, url, table, column=None, lowerBound=None, upperBound=None, numPartitions=None,
              predicates=None, properties={}):
         """
@@ -178,12 +186,15 @@ class DataFrameWriter(object):
     to access this.
 
     ::Note: Experimental
+
+    .. versionadded:: 1.4
     """
     def __init__(self, df):
         self._df = df
         self._sqlContext = df.sql_ctx
         self._jwrite = df._jdf.write()
 
+    @since(1.4)
     def save(self, path=None, format=None, mode="error", **options):
         """
         Saves the contents of the :class:`DataFrame` to a data source.
@@ -215,6 +226,7 @@ class DataFrameWriter(object):
         else:
             jwrite.save(path)
 
+    @since(1.4)
     def saveAsTable(self, name, format=None, mode="error", **options):
         """
         Saves the contents of this :class:`DataFrame` to a data source as a table.
@@ -243,6 +255,7 @@ class DataFrameWriter(object):
             jwrite = jwrite.option(k, options[k])
         return jwrite.saveAsTable(name)
 
+    @since(1.4)
     def json(self, path, mode="error"):
         """
         Saves the content of the :class:`DataFrame` in JSON format at the
@@ -261,6 +274,7 @@ class DataFrameWriter(object):
         """
         return self._jwrite.mode(mode).json(path)
 
+    @since(1.4)
     def parquet(self, path, mode="error"):
         """
         Saves the content of the :class:`DataFrame` in Parquet format at the
@@ -279,6 +293,7 @@ class DataFrameWriter(object):
         """
         return self._jwrite.mode(mode).parquet(path)
 
+    @since(1.4)
     def jdbc(self, url, table, mode="error", properties={}):
         """
         Saves the content of the :class:`DataFrame` to a external database table