diff options
| -rw-r--r-- | docs/mllib-guide.md | 3 | ||||
| -rw-r--r-- | docs/python-programming-guide.md | 2 | ||||
| -rw-r--r-- | python/pyspark/mllib/__init__.py | 6 | ||||
| -rw-r--r-- | python/pyspark/serializers.py | 11 |
4 files changed, 13 insertions, 9 deletions
diff --git a/docs/mllib-guide.md b/docs/mllib-guide.md index 203d235bf9..a5e0cc5080 100644 --- a/docs/mllib-guide.md +++ b/docs/mllib-guide.md @@ -38,6 +38,5 @@ depends on native Fortran routines. You may need to install the if it is not already present on your nodes. MLlib will throw a linking error if it cannot detect these libraries automatically. -To use MLlib in Python, you will need [NumPy](http://www.numpy.org) version 1.7 or newer -and Python 2.7. +To use MLlib in Python, you will need [NumPy](http://www.numpy.org) version 1.7 or newer. diff --git a/docs/python-programming-guide.md b/docs/python-programming-guide.md index cbe7d820b4..c2e5327324 100644 --- a/docs/python-programming-guide.md +++ b/docs/python-programming-guide.md @@ -152,7 +152,7 @@ Many of the methods also contain [doctests](http://docs.python.org/2/library/doc # Libraries [MLlib](mllib-guide.html) is also available in PySpark. To use it, you'll need -[NumPy](http://www.numpy.org) version 1.7 or newer, and Python 2.7. The [MLlib guide](mllib-guide.html) contains +[NumPy](http://www.numpy.org) version 1.7 or newer. The [MLlib guide](mllib-guide.html) contains some example applications. # Where to Go from Here diff --git a/python/pyspark/mllib/__init__.py b/python/pyspark/mllib/__init__.py index b420d7a7f2..538ff26ce7 100644 --- a/python/pyspark/mllib/__init__.py +++ b/python/pyspark/mllib/__init__.py @@ -19,11 +19,7 @@ Python bindings for MLlib. """ -# MLlib currently needs Python 2.7+ and NumPy 1.7+, so complain if lower - -import sys -if sys.version_info[0:2] < (2, 7): - raise Exception("MLlib requires Python 2.7+") +# MLlib currently needs and NumPy 1.7+, so complain if lower import numpy if numpy.version.version < '1.7': diff --git a/python/pyspark/serializers.py b/python/pyspark/serializers.py index 4d802924df..b253807974 100644 --- a/python/pyspark/serializers.py +++ b/python/pyspark/serializers.py @@ -64,6 +64,7 @@ import cPickle from itertools import chain, izip, product import marshal import struct +import sys from pyspark import cloudpickle @@ -113,6 +114,11 @@ class FramedSerializer(Serializer): where C{length} is a 32-bit integer and data is C{length} bytes. """ + def __init__(self): + # On Python 2.6, we can't write bytearrays to streams, so we need to convert them + # to strings first. Check if the version number is that old. + self._only_write_strings = sys.version_info[0:2] <= (2, 6) + def dump_stream(self, iterator, stream): for obj in iterator: self._write_with_length(obj, stream) @@ -127,7 +133,10 @@ class FramedSerializer(Serializer): def _write_with_length(self, obj, stream): serialized = self.dumps(obj) write_int(len(serialized), stream) - stream.write(serialized) + if self._only_write_strings: + stream.write(str(serialized)) + else: + stream.write(serialized) def _read_with_length(self, stream): length = read_int(stream) |