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.
135 lines
4.3 KiB
Python
135 lines
4.3 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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# This file is ported from spark/util/StatCounter.scala
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import copy
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import math
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try:
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from numpy import maximum, minimum, sqrt
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except ImportError:
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maximum = max
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minimum = min
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sqrt = math.sqrt
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class StatCounter(object):
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def __init__(self, values=[]):
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self.n = 0 # Running count of our values
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self.mu = 0.0 # Running mean of our values
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self.m2 = 0.0 # Running variance numerator (sum of (x - mean)^2)
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self.maxValue = float("-inf")
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self.minValue = float("inf")
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for v in values:
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self.merge(v)
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# Add a value into this StatCounter, updating the internal statistics.
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def merge(self, value):
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delta = value - self.mu
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self.n += 1
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self.mu += delta / self.n
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self.m2 += delta * (value - self.mu)
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self.maxValue = maximum(self.maxValue, value)
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self.minValue = minimum(self.minValue, value)
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return self
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# Merge another StatCounter into this one, adding up the internal statistics.
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def mergeStats(self, other):
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if not isinstance(other, StatCounter):
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raise Exception("Can only merge Statcounters!")
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if other is self: # reference equality holds
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self.merge(copy.deepcopy(other)) # Avoid overwriting fields in a weird order
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else:
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if self.n == 0:
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self.mu = other.mu
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self.m2 = other.m2
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self.n = other.n
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self.maxValue = other.maxValue
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self.minValue = other.minValue
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elif other.n != 0:
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delta = other.mu - self.mu
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if other.n * 10 < self.n:
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self.mu = self.mu + (delta * other.n) / (self.n + other.n)
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elif self.n * 10 < other.n:
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self.mu = other.mu - (delta * self.n) / (self.n + other.n)
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else:
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self.mu = (self.mu * self.n + other.mu * other.n) / (self.n + other.n)
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self.maxValue = maximum(self.maxValue, other.maxValue)
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self.minValue = minimum(self.minValue, other.minValue)
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self.m2 += other.m2 + (delta * delta * self.n * other.n) / (self.n + other.n)
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self.n += other.n
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return self
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# Clone this StatCounter
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def copy(self):
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return copy.deepcopy(self)
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def count(self):
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return int(self.n)
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def mean(self):
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return self.mu
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def sum(self):
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return self.n * self.mu
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def min(self):
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return self.minValue
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def max(self):
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return self.maxValue
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# Return the variance of the values.
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def variance(self):
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if self.n == 0:
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return float('nan')
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else:
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return self.m2 / self.n
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#
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# Return the sample variance, which corrects for bias in estimating the variance by dividing
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# by N-1 instead of N.
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#
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def sampleVariance(self):
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if self.n <= 1:
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return float('nan')
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else:
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return self.m2 / (self.n - 1)
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# Return the standard deviation of the values.
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def stdev(self):
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return sqrt(self.variance())
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#
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# Return the sample standard deviation of the values, which corrects for bias in estimating the
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# variance by dividing by N-1 instead of N.
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#
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def sampleStdev(self):
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return sqrt(self.sampleVariance())
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def __repr__(self):
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return ("(count: %s, mean: %s, stdev: %s, max: %s, min: %s)" %
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(self.count(), self.mean(), self.stdev(), self.max(), self.min()))
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