Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/1346#discussion_r15551776
--- Diff: python/pyspark/sql.py ---
@@ -20,8 +20,457 @@
from py4j.protocol import Py4JError
-__all__ = ["SQLContext", "HiveContext", "LocalHiveContext",
"TestHiveContext", "SchemaRDD", "Row"]
+__all__ = [
+ "StringType", "BinaryType", "BooleanType", "TimestampType",
"DecimalType",
+ "DoubleType", "FloatType", "ByteType", "IntegerType", "LongType",
+ "ShortType", "ArrayType", "MapType", "StructField", "StructType",
+ "SQLContext", "HiveContext", "LocalHiveContext", "TestHiveContext",
"SchemaRDD", "Row"]
+class PrimitiveTypeSingleton(type):
+ _instances = {}
+ def __call__(cls):
+ if cls not in cls._instances:
+ cls._instances[cls] = super(PrimitiveTypeSingleton,
cls).__call__()
+ return cls._instances[cls]
+
+class StringType(object):
+ """Spark SQL StringType
+
+ The data type representing string values.
+
+ """
+ __metaclass__ = PrimitiveTypeSingleton
+
+ def __repr__(self):
+ return "StringType"
+
+class BinaryType(object):
+ """Spark SQL BinaryType
+
+ The data type representing bytearray values.
+
+ """
+ __metaclass__ = PrimitiveTypeSingleton
+
+ def __repr__(self):
+ return "BinaryType"
+
+class BooleanType(object):
+ """Spark SQL BooleanType
+
+ The data type representing bool values.
+
+ """
+ __metaclass__ = PrimitiveTypeSingleton
+
+ def __repr__(self):
+ return "BooleanType"
+
+class TimestampType(object):
+ """Spark SQL TimestampType
+
+ The data type representing datetime.datetime values.
+
+ """
+ __metaclass__ = PrimitiveTypeSingleton
+
+ def __repr__(self):
+ return "TimestampType"
+
+class DecimalType(object):
+ """Spark SQL DecimalType
+
+ The data type representing decimal.Decimal values.
+
+ """
+ __metaclass__ = PrimitiveTypeSingleton
+
+ def __repr__(self):
+ return "DecimalType"
+
+class DoubleType(object):
+ """Spark SQL DoubleType
+
+ The data type representing float values.
+
+ """
+ __metaclass__ = PrimitiveTypeSingleton
+
+ def __repr__(self):
+ return "DoubleType"
+
+class FloatType(object):
+ """Spark SQL FloatType
+
+ For now, please use L{DoubleType} instead of using L{FloatType}.
+ Because query evaluation is done in Scala, java.lang.Double will be be
used
+ for Python float numbers. Because the underlying JVM type of FloatType
is
+ java.lang.Float (in Java) and Float (in scala), there will be a
java.lang.ClassCastException
+ if FloatType (Python) is used.
+
+ """
+ __metaclass__ = PrimitiveTypeSingleton
+
+ def __repr__(self):
+ return "FloatType"
+
+class ByteType(object):
+ """Spark SQL ByteType
+
+ For now, please use L{IntegerType} instead of using L{ByteType}.
+ Because query evaluation is done in Scala, java.lang.Integer will be
be used
+ for Python int numbers. Because the underlying JVM type of ByteType is
+ java.lang.Byte (in Java) and Byte (in scala), there will be a
java.lang.ClassCastException
+ if ByteType (Python) is used.
+
+ """
+ __metaclass__ = PrimitiveTypeSingleton
+
+ def __repr__(self):
+ return "ByteType"
+
+class IntegerType(object):
+ """Spark SQL IntegerType
+
+ The data type representing int values.
+
+ """
+ __metaclass__ = PrimitiveTypeSingleton
+
+ def __repr__(self):
+ return "IntegerType"
+
+class LongType(object):
+ """Spark SQL LongType
+
+ The data type representing long values. If the any value is beyond the
range of
+ [-9223372036854775808, 9223372036854775807], please use DecimalType.
+
+ """
+ __metaclass__ = PrimitiveTypeSingleton
+
+ def __repr__(self):
+ return "LongType"
+
+class ShortType(object):
+ """Spark SQL ShortType
+
+ For now, please use L{IntegerType} instead of using L{ShortType}.
--- End diff --
In Java/Scala, when user loads data from csv file, they need to do this
kind of type conversion, it will be better if we could do this for them
automatically.
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