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    04e44b37
    [SPARK-4897] [PySpark] Python 3 support · 04e44b37
    Davies Liu authored
    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.
    04e44b37
    History
    [SPARK-4897] [PySpark] Python 3 support
    Davies Liu authored
    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.
statcounter.py 4.26 KiB
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

# This file is ported from spark/util/StatCounter.scala

import copy
import math

try:
    from numpy import maximum, minimum, sqrt
except ImportError:
    maximum = max
    minimum = min
    sqrt = math.sqrt


class StatCounter(object):

    def __init__(self, values=[]):
        self.n = 0    # Running count of our values
        self.mu = 0.0  # Running mean of our values
        self.m2 = 0.0  # Running variance numerator (sum of (x - mean)^2)
        self.maxValue = float("-inf")
        self.minValue = float("inf")

        for v in values:
            self.merge(v)

    # Add a value into this StatCounter, updating the internal statistics.
    def merge(self, value):
        delta = value - self.mu
        self.n += 1
        self.mu += delta / self.n
        self.m2 += delta * (value - self.mu)
        self.maxValue = maximum(self.maxValue, value)
        self.minValue = minimum(self.minValue, value)

        return self

    # Merge another StatCounter into this one, adding up the internal statistics.
    def mergeStats(self, other):
        if not isinstance(other, StatCounter):
            raise Exception("Can only merge Statcounters!")

        if other is self:  # reference equality holds
            self.merge(copy.deepcopy(other))  # Avoid overwriting fields in a weird order
        else:
            if self.n == 0:
                self.mu = other.mu
                self.m2 = other.m2
                self.n = other.n
                self.maxValue = other.maxValue
                self.minValue = other.minValue

            elif other.n != 0:
                delta = other.mu - self.mu
                if other.n * 10 < self.n:
                    self.mu = self.mu + (delta * other.n) / (self.n + other.n)
                elif self.n * 10 < other.n:
                    self.mu = other.mu - (delta * self.n) / (self.n + other.n)
                else:
                    self.mu = (self.mu * self.n + other.mu * other.n) / (self.n + other.n)

                self.maxValue = maximum(self.maxValue, other.maxValue)
                self.minValue = minimum(self.minValue, other.minValue)

                self.m2 += other.m2 + (delta * delta * self.n * other.n) / (self.n + other.n)
                self.n += other.n
        return self

    # Clone this StatCounter
    def copy(self):
        return copy.deepcopy(self)

    def count(self):
        return int(self.n)

    def mean(self):
        return self.mu

    def sum(self):
        return self.n * self.mu

    def min(self):
        return self.minValue

    def max(self):
        return self.maxValue

    # Return the variance of the values.
    def variance(self):
        if self.n == 0:
            return float('nan')
        else:
            return self.m2 / self.n

    #
    # Return the sample variance, which corrects for bias in estimating the variance by dividing
    # by N-1 instead of N.
    #
    def sampleVariance(self):
        if self.n <= 1:
            return float('nan')
        else:
            return self.m2 / (self.n - 1)

    # Return the standard deviation of the values.
    def stdev(self):
        return sqrt(self.variance())

    #
    # Return the sample standard deviation of the values, which corrects for bias in estimating the
    # variance by dividing by N-1 instead of N.
    #
    def sampleStdev(self):
        return sqrt(self.sampleVariance())

    def __repr__(self):
        return ("(count: %s, mean: %s, stdev: %s, max: %s, min: %s)" %
                (self.count(), self.mean(), self.stdev(), self.max(), self.min()))