04e44b37cc
This PR update PySpark to support Python 3 (tested with 3.4). Known issue: unpickle array from Pyrolite is broken in Python 3, those tests are skipped. TODO: ec2/spark-ec2.py is not fully tested with python3. Author: Davies Liu <davies@databricks.com> Author: twneale <twneale@gmail.com> Author: Josh Rosen <joshrosen@databricks.com> Closes #5173 from davies/python3 and squashes the following commits: d7d6323 [Davies Liu] fix tests 6c52a98 [Davies Liu] fix mllib test 99e334f [Davies Liu] update timeout b716610 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 cafd5ec [Davies Liu] adddress comments from @mengxr bf225d7 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 179fc8d [Davies Liu] tuning flaky tests 8c8b957 [Davies Liu] fix ResourceWarning in Python 3 5c57c95 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 4006829 [Davies Liu] fix test 2fc0066 [Davies Liu] add python3 path 71535e9 [Davies Liu] fix xrange and divide 5a55ab4 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 125f12c [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 ed498c8 [Davies Liu] fix compatibility with python 3 820e649 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 e8ce8c9 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 ad7c374 [Davies Liu] fix mllib test and warning ef1fc2f [Davies Liu] fix tests 4eee14a [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 20112ff [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 59bb492 [Davies Liu] fix tests 1da268c [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 ca0fdd3 [Davies Liu] fix code style 9563a15 [Davies Liu] add imap back for python 2 0b1ec04 [Davies Liu] make python examples work with Python 3 d2fd566 [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 a716d34 [Davies Liu] test with python 3.4 f1700e8 [Davies Liu] fix test in python3 671b1db [Davies Liu] fix test in python3 692ff47 [Davies Liu] fix flaky test 7b9699f [Davies Liu] invalidate import cache for Python 3.3+ 9c58497 [Davies Liu] fix kill worker 309bfbf [Davies Liu] keep compatibility 5707476 [Davies Liu] cleanup, fix hash of string in 3.3+ 8662d5b [Davies Liu] Merge branch 'master' of github.com:apache/spark into python3 f53e1f0 [Davies Liu] fix tests 70b6b73 [Davies Liu] compile ec2/spark_ec2.py in python 3 a39167e [Davies Liu] support customize class in __main__ 814c77b [Davies Liu] run unittests with python 3 7f4476e [Davies Liu] mllib tests passed d737924 [Davies Liu] pass ml tests 375ea17 [Davies Liu] SQL tests pass 6cc42a9 [Davies Liu] rename 431a8de [Davies Liu] streaming tests pass 78901a7 [Davies Liu] fix hash of serializer in Python 3 24b2f2e [Davies Liu] pass all RDD tests 35f48fe [Davies Liu] run future again 1eebac2 [Davies Liu] fix conflict in ec2/spark_ec2.py 6e3c21d [Davies Liu] make cloudpickle work with Python3 2fb2db3 [Josh Rosen] Guard more changes behind sys.version; still doesn't run 1aa5e8f [twneale] Turned out `pickle.DictionaryType is dict` == True, so swapped it out 7354371 [twneale] buffer --> memoryview I'm not super sure if this a valid change, but the 2.7 docs recommend using memoryview over buffer where possible, so hoping it'll work. b69ccdf [twneale] Uses the pure python pickle._Pickler instead of c-extension _pickle.Pickler. It appears pyspark 2.7 uses the pure python pickler as well, so this shouldn't degrade pickling performance (?). f40d925 [twneale] xrange --> range e104215 [twneale] Replaces 2.7 types.InstsanceType with 3.4 `object`....could be horribly wrong depending on how types.InstanceType is used elsewhere in the package--see http://bugs.python.org/issue8206 79de9d0 [twneale] Replaces python2.7 `file` with 3.4 _io.TextIOWrapper 2adb42d [Josh Rosen] Fix up some import differences between Python 2 and 3 854be27 [Josh Rosen] Run `futurize` on Python code: 7c5b4ce [Josh Rosen] Remove Python 3 check in shell.py.
129 lines
4.2 KiB
Python
129 lines
4.2 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import time
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from datetime import datetime
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import traceback
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from pyspark import SparkContext, RDD
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class TransformFunction(object):
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"""
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This class wraps a function RDD[X] -> RDD[Y] that was passed to
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DStream.transform(), allowing it to be called from Java via Py4J's
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callback server.
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Java calls this function with a sequence of JavaRDDs and this function
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returns a single JavaRDD pointer back to Java.
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"""
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_emptyRDD = None
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def __init__(self, ctx, func, *deserializers):
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self.ctx = ctx
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self.func = func
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self.deserializers = deserializers
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def call(self, milliseconds, jrdds):
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try:
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if self.ctx is None:
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self.ctx = SparkContext._active_spark_context
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if not self.ctx or not self.ctx._jsc:
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# stopped
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return
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# extend deserializers with the first one
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sers = self.deserializers
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if len(sers) < len(jrdds):
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sers += (sers[0],) * (len(jrdds) - len(sers))
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rdds = [RDD(jrdd, self.ctx, ser) if jrdd else None
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for jrdd, ser in zip(jrdds, sers)]
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t = datetime.fromtimestamp(milliseconds / 1000.0)
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r = self.func(t, *rdds)
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if r:
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return r._jrdd
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except Exception:
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traceback.print_exc()
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def __repr__(self):
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return "TransformFunction(%s)" % self.func
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class Java:
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implements = ['org.apache.spark.streaming.api.python.PythonTransformFunction']
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class TransformFunctionSerializer(object):
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"""
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This class implements a serializer for PythonTransformFunction Java
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objects.
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This is necessary because the Java PythonTransformFunction objects are
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actually Py4J references to Python objects and thus are not directly
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serializable. When Java needs to serialize a PythonTransformFunction,
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it uses this class to invoke Python, which returns the serialized function
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as a byte array.
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"""
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def __init__(self, ctx, serializer, gateway=None):
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self.ctx = ctx
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self.serializer = serializer
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self.gateway = gateway or self.ctx._gateway
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self.gateway.jvm.PythonDStream.registerSerializer(self)
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def dumps(self, id):
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try:
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func = self.gateway.gateway_property.pool[id]
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return bytearray(self.serializer.dumps((func.func, func.deserializers)))
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except Exception:
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traceback.print_exc()
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def loads(self, data):
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try:
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f, deserializers = self.serializer.loads(bytes(data))
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return TransformFunction(self.ctx, f, *deserializers)
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except Exception:
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traceback.print_exc()
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def __repr__(self):
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return "TransformFunctionSerializer(%s)" % self.serializer
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class Java:
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implements = ['org.apache.spark.streaming.api.python.PythonTransformFunctionSerializer']
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def rddToFileName(prefix, suffix, timestamp):
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"""
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Return string prefix-time(.suffix)
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>>> rddToFileName("spark", None, 12345678910)
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'spark-12345678910'
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>>> rddToFileName("spark", "tmp", 12345678910)
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'spark-12345678910.tmp'
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"""
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if isinstance(timestamp, datetime):
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seconds = time.mktime(timestamp.timetuple())
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timestamp = int(seconds * 1000) + timestamp.microsecond // 1000
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if suffix is None:
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return prefix + "-" + str(timestamp)
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else:
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return prefix + "-" + str(timestamp) + "." + suffix
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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