[SPARK-7606] [SQL] [PySpark] add version to Python SQL API docs

python/pyspark/sql/__init__.py

@@ -41,6 +41,13 @@
 """
 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

python/pyspark/sql/column.py

@@ -23,6 +23,7 @@
 
 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 @@ def __init__(self, jc):
     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 @@ def getItem(self, key):
         """
         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 @@ def __getattr__(self, item):
     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 @@ def substr(self, startPos, length):
     __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 @@ def inSet(self, *cols):
     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 @@ def alias(self, *alias):
             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`
 
@@ -294,13 +303,15 @@ def cast(self, dataType):
         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.
         """
         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 @@ def when(self, condition, value):
         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.

python/pyspark/sql/context.py

@@ -28,6 +28,7 @@
 
 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 @@ def _ssql_ctx(self):
             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 @@ def getConf(self, key, defaultValue):
         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 @@ def range(self, start, end, step=1, numPartitions=None):
         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 @@ def _inferSchema(self, rdd, samplingRatio=None):
 
     @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 @@ def inferSchema(self, rdd, samplingRatio=None):
 
     @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 @@ def applySchema(self, rdd, schema):
 
         return self.createDataFrame(rdd, schema)
 
+    @since(1.3)
     @ignore_unicode_prefix
     def createDataFrame(self, data, schema=None, samplingRatio=None):
         """
@@ -337,6 +346,7 @@ def createDataFrame(self, data, schema=None, samplingRatio=None):
         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 @@ 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`.
 
@@ -367,6 +378,7 @@ def parquetFile(self, *paths):
         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 @@ def jsonFile(self, path, schema=None, samplingRatio=1.0):
         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 @@ def func(iterator):
             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 @@ def load(self, path=None, source=None, schema=None, **options):
         """
         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 @@ def createExternalTable(self, tableName, path=None, source=None,
         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 @@ def sql(self, sqlQuery):
         """
         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 @@ def table(self, tableName):
         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 @@ def tables(self, dbName=None):
         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 @@ def tableNames(self, dbName=None):
         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 ...>