https://docs.python.org/2/tutorial/datastructures.html
For each value in a sequence, process each one and output a new result for each element.
In [1]:
def cube(x): return x*x*x
map(cube,range(1,11))
Out[1]:
[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000]
If there are more parameters then each could be an array, and they are applied together one element at a time
In [7]:
seq = range(8)
def add(x,y): return x+y
map(add, seq,seq)
Out[7]:
[0, 2, 4, 6, 8, 10, 12, 14]
In [8]:
result = map(add, seq,seq)
reduce(add, result) # adding each element of the result together
Out[8]:
56
If there is only one value in a sequence then that element is returned; if the sequence is empty, an exception is raised.
Using the Canterbury Corpus Test file from http://compression.ca/act/files/canterbury.zip, We will attempt to count the each unique word.
In [9]:
import re
import pandas as pd
import numpy as np
aliceFile = open('data/canterbury/alice29.txt','r')
map1=[]
WORD_RE = re.compile(r"[\w']+")
# Create the map of words with prelminary counts
for line in aliceFile:
for w in WORD_RE.findall(line):
map1.append([w,1])
#sort the map
map2 = sorted(map1)
#Separate the map into groups by the key values
df = pd.DataFrame(map2)
uniquewords = df[0].unique()
DataFrameDict = {elem : pd.DataFrame for elem in uniquewords}
for key in DataFrameDict.keys():
DataFrameDict[key] = df[:][df[0] == key]
In [10]:
def wordcount(x,y):
x[1] = x[1] + y[1]
return x
#Add up the counts using reduce
for uw in uniquewords:
uarray = np.array(DataFrameDict[uw])
print reduce(wordcount,uarray)
["'" 1091L]
["'TIS" 1L]
["'Tis" 2L]
["'em" 3L]
["'tis" 2L]
['2' 1L]
['9' 1L]
['A' 17L]
['ADVENTURES' 1L]
["ALICE'S" 3L]
['ALL' 4L]
['AND' 3L]
['ARE' 6L]
['AT' 1L]
['Ada' 1L]
['Adventures' 2L]
['Advice' 1L]
['After' 6L]
['Ah' 5L]
['Ahem' 1L]
['Alas' 1L]
['Alice' 386L]
["Alice's" 9L]
['All' 5L]
['Allow' 1L]
['Always' 1L]
['Ambition' 1L]
['An' 5L]
['And' 67L]
['Ann' 4L]
['Antipathies' 1L]
['Anything' 1L]
['Are' 4L]
['Arithmetic' 1L]
['As' 17L]
['At' 9L]
['Atheling' 1L]
['Australia' 1L]
['BE' 1L]
['BEE' 1L]
['BEFORE' 1L]
['BEG' 1L]
['BEST' 2L]
['BOOTS' 1L]
['BUSY' 1L]
['Back' 1L]
['Be' 2L]
['Beau' 4L]
['Beautiful' 5L]
['Because' 1L]
['Before' 1L]
['Begin' 1L]
['Behead' 1L]
['Besides' 1L]
['Between' 1L]
['Bill' 12L]
["Bill's" 4L]
['Birds' 1L]
['Boots' 1L]
['Brandy' 1L]
['Bring' 1L]
['But' 37L]
['By' 4L]
['C' 1L]
['CAN' 4L]
['CHAPTER' 12L]
['CHORUS' 2L]
['COULD' 4L]
['COURT' 1L]
['CURTSEYING' 1L]
['Call' 4L]
['Can' 1L]
["Can't" 1L]
['Canary' 1L]
['Canterbury' 1L]
['Carroll' 1L]
['Cat' 24L]
["Cat's" 2L]
['Catch' 1L]
['Caterpillar' 26L]
["Caterpillar's" 1L]
['Caucus' 3L]
['Certainly' 1L]
['Cheshire' 7L]
['Chorus' 1L]
['Christmas' 1L]
['Classics' 1L]
['Coils' 1L]
['Collar' 1L]
['Come' 21L]
['Coming' 1L]
['Conqueror' 2L]
['Consider' 3L]
['Crab' 2L]
['Croquet' 1L]
['Curiouser' 1L]
['D' 1L]
['DOES' 1L]
["DON'T" 1L]
['DOTH' 1L]
['DRINK' 2L]
['Dear' 1L]
['Derision' 1L]
['Did' 3L]
['Digging' 2L]
['Dinah' 11L]
["Dinah'll" 2L]
["Dinah's" 1L]
['Dinn' 1L]
['Distraction' 1L]
['Do' 13L]
['Dodo' 13L]
['Does' 2L]
["Don't" 9L]
['Dormouse' 39L]
["Dormouse's" 1L]
['Down' 3L]
['Drawling' 3L]
['Drink' 1L]
['Drive' 1L]
['Duchess' 38L]
["Duchess's" 3L]
['Duck' 3L]
['Dutchess' 1L]
['EAT' 1L]
['EDITION' 1L]
['END' 1L]
['ESQ' 1L]
['EVEN' 1L]
['EVER' 1L]
['EVERYBODY' 1L]
['Each' 1L]
['Eaglet' 3L]
['Edgar' 1L]
['Edwin' 2L]
['Either' 1L]
['Elsie' 1L]
['England' 1L]
['English' 6L]
['Even' 1L]
['Everybody' 2L]
['Everything' 1L]
["Everything's" 1L]
['Evidence' 1L]
['Exactly' 3L]
['Explain' 2L]
['FATHER' 2L]
['FENDER' 1L]
['FIT' 2L]
['FOOT' 1L]
['FROM' 1L]
['FUL' 1L]
['FULCRUM' 1L]
['Fainting' 1L]
['Father' 2L]
['Fetch' 1L]
['Fifteenth' 1L]
['First' 7L]
['Fish' 2L]
['Five' 7L]
['Footman' 10L]
["Footman's" 1L]
['For' 13L]
['Forty' 1L]
['Found' 2L]
['Fourteenth' 1L]
['France' 1L]
['French' 4L]
['Frog' 1L]
['From' 1L]
['Fury' 2L]
['GAVE' 2L]
['Game' 1L]
['Geography' 1L]
['Get' 2L]
['Give' 3L]
['Go' 3L]
['Good' 1L]
['Grammar' 1L]
['Grief' 1L]
['Ground' 1L]
['Gryphon' 54L]
['HAD' 1L]
['HATED' 1L]
['HAVE' 4L]
['HE' 4L]
['HEARTHRUG' 1L]
['HEARTS' 1L]
['HER' 2L]
['HERE' 1L]
['HIGH' 1L]
['HIM' 3L]
['HIS' 1L]
['HOW' 1L]
["Hadn't" 1L]
['Half' 1L]
['Hand' 1L]
['Hardly' 1L]
['Hare' 31L]
['Has' 1L]
['Hatter' 54L]
["Hatter's" 1L]
['Have' 3L]
['He' 20L]
["He's" 1L]
['Heads' 1L]
['Hearts' 6L]
['Her' 2L]
['Herald' 1L]
['Here' 11L]
['Him' 1L]
['His' 1L]
['Hjckrrh' 1L]
['Hm' 1L]
['Hold' 4L]
['Hole' 1L]
['How' 27L]
['However' 13L]
['Hush' 2L]
['I' 408L]
["I'LL" 1L]
["I'M" 2L]
["I'VE" 1L]
["I'd" 11L]
["I'll" 30L]
["I'm" 57L]
["I've" 33L]
['IF' 2L]
['II' 1L]
['III' 1L]
['IN' 2L]
['INSIDE' 1L]
['IS' 8L]
['IT' 4L]
['ITS' 1L]
['IV' 1L]
['IX' 1L]
['Idiot' 1L]
['If' 16L]
['Imagine' 1L]
['Improve' 1L]
['In' 11L]
['Indeed' 1L]
['Involved' 1L]
['Is' 3L]
['It' 41L]
["It'll" 1L]
["It's" 22L]
['Jack' 1L]
['Just' 7L]
['KING' 1L]
['KNOW' 1L]
['Keep' 2L]
['King' 59L]
["King's" 2L]
['Kings' 1L]
['Knave' 9L]
['LEAVE' 1L]
['LESS' 1L]
['LITTLE' 2L]
['LOVE' 1L]
['Lacie' 1L]
['Last' 1L]
['Lastly' 1L]
['Latin' 1L]
['Latitude' 2L]
['Laughing' 1L]
['Leave' 1L]
['Let' 10L]
["Let's" 1L]
['Lewis' 1L]
['Like' 1L]
['Little' 1L]
['Lizard' 5L]
["Lizard's" 1L]
['Lobster' 5L]
['London' 1L]
['Long' 1L]
['Longitude' 2L]
['Look' 1L]
['Lory' 7L]
['Luckily' 1L]
['M' 3L]
["MARMALADE'" 1L]
['ME' 5L]
["ME'" 2L]
['MILE' 1L]
['MILLENNIUM' 1L]
['MINE' 2L]
['MORE' 2L]
['MUST' 3L]
['MYSELF' 1L]
['Ma' 1L]
["Ma'am" 1L]
['Mabel' 4L]
['Mad' 1L]
['Magpie' 1L]
['Majesty' 12L]
['March' 34L]
['Mary' 4L]
['May' 2L]
['Maybe' 1L]
['Mercia' 2L]
['Mind' 2L]
['Mine' 1L]
['Miss' 3L]
['Mock' 56L]
['Morcar' 2L]
['Mouse' 29L]
["Mouse's" 1L]
['Multiplication' 1L]
['My' 3L]
['Mystery' 2L]
['NEAR' 1L]
['NEVER' 2L]
['NO' 1L]
['NOT' 7L]
['Nay' 1L]
['Nearly' 1L]
['Never' 4L]
['New' 1L]
['Next' 2L]
['Nile' 1L]
['No' 20L]
['Nobody' 3L]
['Nonsense' 1L]
['Nor' 1L]
['Normans' 1L]
['Northumbria' 2L]
['Not' 9L]
['Nothing' 4L]
['Now' 12L]
['Number' 1L]
['O' 3L]
['OF' 3L]
['OLD' 2L]
['ONE' 4L]
['ORANGE' 1L]
['OURS' 1L]
['OUT' 1L]
['OUTSIDE' 1L]
['Of' 11L]
['Off' 11L]
['Oh' 35L]
['On' 4L]
['Once' 3L]
['One' 6L]
['Only' 3L]
['Or' 1L]
['Ou' 1L]
['Our' 1L]
['Owl' 3L]
['PERSONS' 1L]
['PLEASE' 1L]
['PLENTY' 1L]
['POCKET' 1L]
['PRECIOUS' 1L]
['PROVES' 1L]
['Panther' 3L]
['Paris' 2L]
['Party' 1L]
['Pat' 3L]
['Pennyworth' 1L]
['Pepper' 2L]
['Perhaps' 3L]
['Pig' 2L]
['Pigeon' 11L]
['Pinch' 1L]
['Please' 5L]
['Pool' 1L]
['Poor' 2L]
['Pray' 3L]
['Presently' 2L]
['Prizes' 2L]
['Puss' 1L]
['QUEEN' 1L]
['QUITE' 2L]
['Quadrille' 4L]
['Queen' 67L]
["Queen's" 7L]
['Queens' 1L]
['Quick' 1L]
["RABBIT'" 1L]
['RED' 1L]
['RETURNED' 1L]
['RIGHT' 1L]
['Rabbit' 41L]
["Rabbit's" 4L]
['Race' 1L]
['Read' 1L]
['Really' 2L]
['Reeling' 1L]
['Repeat' 1L]
['Right' 1L]
['Rome' 2L]
['Rule' 1L]
['Run' 1L]
['SAID' 2L]
['SHE' 4L]
["SHE'S" 1L]
['SHOES' 1L]
['SIT' 1L]
['SLUGGARD' 1L]
['SOME' 1L]
['SOMEBODY' 1L]
['SOMETHING' 1L]
['SOMEWHERE' 1L]
['SOUP' 1L]
['SWIM' 1L]
['Said' 4L]
['Same' 1L]
['Seals' 1L]
['Seaography' 1L]
['See' 1L]
['Sends' 1L]
['Sentence' 1L]
['Serpent' 3L]
['Seven' 5L]
['Sh' 1L]
['Shakespeare' 1L]
['Shall' 2L]
["Shan't" 1L]
['Shark' 1L]
['She' 35L]
["She'd" 1L]
["She'll" 1L]
["She's" 2L]
['Shy' 1L]
['Silence' 3L]
['Sing' 1L]
['Sir' 1L]
['Sit' 1L]
['Sixteenth' 1L]
['So' 27L]
['Soles' 1L]
['Some' 2L]
['Somebody' 1L]
['Soo' 7L]
['Soon' 1L]
['Sounds' 1L]
['Soup' 13L]
['Speak' 2L]
['Stand' 1L]
['Stigand' 1L]
['Still' 1L]
['Stole' 1L]
['Stolen' 1L]
['Stop' 1L]
['Story' 1L]
['Stretching' 1L]
['Stuff' 1L]
['Stupid' 1L]
['Such' 1L]
['Suddenly' 1L]
['Suppose' 2L]
['Suppress' 1L]
['Sure' 4L]
['Swim' 1L]
['T' 1L]
['THAN' 1L]
['THAT' 10L]
["THAT'S" 3L]
['THE' 9L]
['THEIR' 1L]
['THEN' 1L]
['THERE' 1L]
['THESE' 1L]
['THEY' 2L]
['THINK' 3L]
['THIS' 4L]
['THROUGH' 1L]
['TO' 3L]
['TOOK' 1L]
['TRUE' 1L]
['TWO' 2L]
['Table' 1L]
['Take' 4L]
['Tale' 1L]
['Talking' 1L]
['Tarts' 1L]
['Tea' 1L]
['Tears' 1L]
['Tell' 5L]
['Ten' 1L]
['Thank' 3L]
['That' 10L]
["That'll" 1L]
["That's" 16L]
['The' 108L]
['Their' 1L]
['Then' 21L]
['There' 25L]
["There's" 8L]
['Therefore' 1L]
['These' 2L]
['They' 18L]
["They're" 3L]
['Thinking' 1L]
['This' 17L]
['Those' 1L]
['Though' 1L]
['Tillie' 1L]
['Time' 3L]
['To' 1L]
['Too' 1L]
['Tortoise' 3L]
['Treacle' 2L]
['Trims' 1L]
['Turn' 3L]
['Turtle' 57L]
["Turtle's" 2L]
['Tut' 1L]
['Twenty' 1L]
['Twinkle' 3L]
['Two' 6L]
['UNimportant' 2L]
['Ugh' 2L]
['Uglification' 2L]
['Up' 2L]
['V' 1L]
['VERY' 13L]
['VI' 1L]
['VII' 1L]
['VIII' 1L]
['VOICE' 1L]
['Very' 5L]
['Visit' 1L]
['W' 1L]
['WAISTCOAT' 1L]
['WAS' 4L]
['WASHING' 1L]
['WATCH' 1L]
['WE' 1L]
['WHAT' 6L]
['WHATEVER' 1L]
['WILL' 3L]
['WILLIAM' 2L]
['WITH' 1L]
['WONDERLAND' 1L]
['WOULD' 5L]
['Waiting' 1L]
['Wake' 2L]
['Was' 1L]
['We' 10L]
['Well' 23L]
['What' 40L]
["What's" 2L]
['When' 10L]
['Where' 4L]
["Where's" 1L]
['Which' 8L]
['While' 5L]
['White' 22L]
['Who' 13L]
["Who's" 2L]
['Whoever' 1L]
['Why' 27L]
['Will' 6L]
['William' 5L]
["William's" 1L]
['With' 4L]
['Wonderland' 2L]
['Would' 8L]
["Wouldn't" 1L]
['Wow' 2L]
['Write' 1L]
['Writhing' 1L]
['X' 1L]
['XI' 1L]
['XII' 1L]
['YET' 1L]
['YOU' 14L]
["YOU'D" 1L]
['YOUR' 7L]
['YOURS' 1L]
['Yes' 12L]
['Yet' 3L]
['You' 39L]
["You'd" 1L]
["You'll" 2L]
["You're" 8L]
["You've" 1L]
['Your' 2L]
['Zealand' 1L]
['_I_' 2L]
['a' 615L]
['abide' 1L]
['able' 1L]
['about' 94L]
['above' 3L]
['absence' 1L]
['absurd' 2L]
['acceptance' 1L]
['accident' 2L]
['accidentally' 1L]
['account' 1L]
['accounting' 1L]
['accounts' 1L]
['accusation' 1L]
['accustomed' 1L]
['ache' 1L]
['across' 5L]
['act' 1L]
['actually' 1L]
['added' 23L]
['adding' 1L]
['addressed' 2L]
['addressing' 1L]
['adjourn' 1L]
['adoption' 1L]
['advance' 3L]
['advantage' 3L]
['adventures' 4L]
['advice' 1L]
['advisable' 2L]
['advise' 1L]
['affair' 1L]
['affectionately' 1L]
['afford' 1L]
['afore' 1L]
['afraid' 12L]
['after' 37L]
['afterwards' 2L]
['again' 82L]
['against' 9L]
['age' 4L]
['ago' 2L]
['agony' 1L]
['agree' 2L]
['air' 15L]
['airs' 1L]
['alarm' 2L]
['alarmed' 1L]
['alas' 3L]
['alive' 3L]
['all' 173L]
['allow' 2L]
['almost' 6L]
['alone' 4L]
['along' 6L]
['aloud' 5L]
['already' 2L]
['also' 2L]
['altered' 1L]
['alternately' 1L]
['altogether' 5L]
['always' 12L]
['am' 15L]
['among' 12L]
['an' 52L]
['ancient' 1L]
['and' 802L]
['anger' 2L]
['angrily' 9L]
['angry' 5L]
['animal' 1L]
["animal's" 1L]
['animals' 4L]
['annoy' 1L]
['annoyed' 1L]
['another' 22L]
['answer' 9L]
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['answers' 1L]
['anxious' 3L]
['anxiously' 14L]
['any' 39L]
['anything' 19L]
['anywhere' 1L]
['appealed' 1L]
['appear' 2L]
['appearance' 1L]
['appeared' 8L]
['appearing' 1L]
['applause' 1L]
['apple' 1L]
['apples' 2L]
['arch' 1L]
['archbishop' 2L]
['arches' 4L]
['are' 44L]
['argue' 1L]
['argued' 1L]
['argument' 4L]
['arguments' 1L]
['arm' 15L]
['arms' 6L]
['around' 3L]
['arranged' 1L]
['arrived' 1L]
['arrow' 1L]
['arrum' 1L]
['as' 246L]
['ashamed' 2L]
['ask' 11L]
['askance' 1L]
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['asking' 5L]
['asleep' 8L]
['assembled' 2L]
['at' 201L]
['ate' 1L]
['atom' 2L]
['attempt' 1L]
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['attempts' 1L]
['attended' 1L]
['attending' 3L]
['attends' 1L]
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['avoid' 1L]
['away' 25L]
['awfully' 1L]
['axes' 1L]
['axis' 1L]
['baby' 14L]
['back' 38L]
['backs' 1L]
['bad' 2L]
['bag' 1L]
['baked' 1L]
['balanced' 1L]
['balls' 1L]
['bank' 3L]
['banks' 1L]
['banquet' 1L]
['bark' 2L]
['barking' 1L]
['barley' 1L]
['barrowful' 2L]
['bat' 3L]
['bathing' 1L]
['bats' 4L]
['bawled' 1L]
['be' 145L]
['beak' 1L]
['bear' 2L]
['beast' 1L]
['beasts' 2L]
['beat' 4L]
['beating' 2L]
['beauti' 1L]
['beautiful' 8L]
['beautifully' 2L]
['beautify' 1L]
['became' 2L]
['because' 14L]
['become' 5L]
['becoming' 1L]
['bed' 1L]
['beds' 2L]
['been' 38L]
['before' 36L]
['beg' 7L]
['began' 58L]
['begged' 1L]
['begin' 12L]
['beginning' 14L]
['begins' 4L]
['begun' 7L]
['beheaded' 3L]
['beheading' 1L]
['behind' 13L]
['being' 19L]
['believe' 9L]
['believed' 1L]
['bells' 1L]
['belong' 1L]
['belongs' 2L]
['beloved' 1L]
['below' 3L]
['belt' 1L]
['bend' 2L]
['bent' 1L]
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['better' 13L]
["better'" 1L]
['between' 5L]
['bill' 1L]
['bird' 2L]
['birds' 9L]
['birthday' 1L]
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['bite' 2L]
['bitter' 1L]
['blacking' 1L]
['blades' 1L]
['blame' 1L]
['blasts' 2L]
['bleeds' 1L]
['blew' 2L]
['blow' 2L]
['blown' 1L]
['blows' 1L]
['body' 2L]
['boldly' 1L]
['bone' 1L]
['bones' 1L]
['book' 11L]
['books' 2L]
['boon' 1L]
['boots' 2L]
['bore' 1L]
['both' 14L]
['bother' 1L]
['bottle' 10L]
['bottom' 4L]
['bough' 1L]
['bound' 1L]
['bowed' 4L]
['bowing' 1L]
['box' 10L]
['boxed' 1L]
['boy' 3L]
['brain' 1L]
['branch' 1L]
['branches' 2L]
['brass' 1L]
['brave' 1L]
['bread' 7L]
['break' 2L]
['breath' 4L]
['breathe' 3L]
['breeze' 1L]
['bright' 8L]
['brightened' 2L]
['bring' 2L]
['bringing' 3L]
['bristling' 1L]
['broke' 2L]
['broken' 6L]
["brother's" 1L]
['brought' 3L]
['brown' 2L]
['brush' 1L]
['brushing' 1L]
['burn' 2L]
['burning' 1L]
['burnt' 1L]
['burst' 1L]
['bursting' 1L]
['busily' 4L]
['business' 7L]
['busy' 1L]
['but' 133L]
['butter' 9L]
['buttercup' 1L]
['buttered' 1L]
['butterfly' 1L]
['buttons' 1L]
['by' 54L]
['bye' 2L]
['cackled' 1L]
['cake' 3L]
['cakes' 3L]
['call' 5L]
['called' 15L]
['calling' 1L]
['calmly' 1L]
['came' 40L]
['camomile' 1L]
['can' 30L]
["can't" 27L]
['candle' 3L]
['cannot' 1L]
['canvas' 1L]
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Find documentation for MRJOB at https://pythonhosted.org/mrjob/ A framework that allows you to do mapreduce jobs without HADOOP but will run the same jobs in an hadoop environment. ( DUMBO and Pydoop give you lower level access to HADOOP)
Before using it for the first time install this package using : pip install mrjob
If that does not work use the alternatives in provided on https://pythonhosted.org/mrjob/guides/quickstart.html#installation
%%writefile myfile.py
write/save cell contents into myfile.py (use -a to append). Another alias: %%file myfile.py %run myfile.py
run myfile.py and output results in the current cell %load myfile.py
load "import" myfile.py into the current cell
In [11]:
! pip install mrjob
Collecting mrjob
Downloading https://files.pythonhosted.org/packages/95/24/b55a4d4799f49c4c4413233a9437a855c384b8c40daea5e8dec8ec1733f0/mrjob-0.6.5-py2.py3-none-any.whl (308kB)
Collecting google-cloud-dataproc>=0.2.0 (from mrjob)
Downloading https://files.pythonhosted.org/packages/07/23/7ae8951f5bc68d1471b492a6b8ee938d3ec9d47ebb82dc8ea1e45899ec8e/google_cloud_dataproc-0.2.0-py2.py3-none-any.whl (131kB)
Requirement already satisfied: PyYAML>=3.08 in c:\users\ps\anaconda2\lib\site-packages (from mrjob) (3.12)
Collecting google-cloud-logging>=1.5.0 (from mrjob)
Downloading https://files.pythonhosted.org/packages/93/a5/220c51fa50520991b7de756730fcc7bf719a29f5b4339eb9854d56ffdaf3/google_cloud_logging-1.7.0-py2.py3-none-any.whl (100kB)
Collecting botocore>=1.6.0 (from mrjob)
Downloading https://files.pythonhosted.org/packages/22/fa/af1ad7aebe166932fe1cac5eae5413d090eca4d723829756c31fc53c174d/botocore-1.12.14-py2.py3-none-any.whl (4.7MB)
Collecting google-cloud-storage>=1.9.0 (from mrjob)
Downloading https://files.pythonhosted.org/packages/3b/cd/4f58416260817ed968b9875d97bd2f6974fe8fdce7b724b2cdd70107b815/google_cloud_storage-1.12.0-py2.py3-none-any.whl (54kB)
Collecting boto3>=1.4.6 (from mrjob)
Downloading https://files.pythonhosted.org/packages/8e/49/4616f3beaa9974aa275933218fe64b200f4177ff5f0753a3b72c5cec5dda/boto3-1.9.14-py2.py3-none-any.whl (128kB)
Collecting google-api-core[grpc]<2.0.0dev,>=0.1.0 (from google-cloud-dataproc>=0.2.0->mrjob)
Downloading https://files.pythonhosted.org/packages/a5/be/de30100034c391f4c56e2543f1507eb1b30b3030bd9a6764dd6cfe7a954e/google_api_core-1.4.1-py2.py3-none-any.whl (53kB)
Collecting google-cloud-core<0.29dev,>=0.28.0 (from google-cloud-logging>=1.5.0->mrjob)
Downloading https://files.pythonhosted.org/packages/0f/41/ae2418b4003a14cf21c1c46d61d1b044bf02cf0f8f91598af572b9216515/google_cloud_core-0.28.1-py2.py3-none-any.whl
Requirement already satisfied: docutils>=0.10 in c:\users\ps\anaconda2\lib\site-packages (from botocore>=1.6.0->mrjob) (0.14)
Collecting jmespath<1.0.0,>=0.7.1 (from botocore>=1.6.0->mrjob)
Downloading https://files.pythonhosted.org/packages/b7/31/05c8d001f7f87f0f07289a5fc0fc3832e9a57f2dbd4d3b0fee70e0d51365/jmespath-0.9.3-py2.py3-none-any.whl
Requirement already satisfied: python-dateutil<3.0.0,>=2.1; python_version >= "2.7" in c:\users\ps\anaconda2\lib\site-packages (from botocore>=1.6.0->mrjob) (2.7.3)
Requirement already satisfied: urllib3<1.24,>=1.20 in c:\users\ps\anaconda2\lib\site-packages (from botocore>=1.6.0->mrjob) (1.22)
Collecting google-resumable-media>=0.3.1 (from google-cloud-storage>=1.9.0->mrjob)
Downloading https://files.pythonhosted.org/packages/77/95/2e4020a54366423ddba715f89fb7ca456c8f048b15cada6cd6a54cf10e8c/google_resumable_media-0.3.1-py2.py3-none-any.whl
Collecting s3transfer<0.2.0,>=0.1.10 (from boto3>=1.4.6->mrjob)
Downloading https://files.pythonhosted.org/packages/d7/14/2a0004d487464d120c9fb85313a75cd3d71a7506955be458eebfe19a6b1d/s3transfer-0.1.13-py2.py3-none-any.whl (59kB)
Collecting protobuf>=3.4.0 (from google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob)
Downloading https://files.pythonhosted.org/packages/77/78/a7f1ce761e2c738e209857175cd4f90a8562d1bde32868a8cd5290d58926/protobuf-3.6.1-py2.py3-none-any.whl (390kB)
Collecting google-auth<2.0.0dev,>=0.4.0 (from google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob)
Downloading https://files.pythonhosted.org/packages/58/cb/96dbb4e50e7a9d856e89cc9c8e36ab1055f9774f7d85f37e2156c1d79d9f/google_auth-1.5.1-py2.py3-none-any.whl (65kB)
Requirement already satisfied: six>=1.10.0 in c:\users\ps\anaconda2\lib\site-packages (from google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob) (1.11.0)
Requirement already satisfied: futures>=3.2.0; python_version < "3.2" in c:\users\ps\anaconda2\lib\site-packages (from google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob) (3.2.0)
Collecting googleapis-common-protos<2.0dev,>=1.5.3 (from google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob)
Downloading https://files.pythonhosted.org/packages/00/03/d25bed04ec8d930bcfa488ba81a2ecbf7eb36ae3ffd7e8f5be0d036a89c9/googleapis-common-protos-1.5.3.tar.gz
Requirement already satisfied: requests<3.0.0dev,>=2.18.0 in c:\users\ps\anaconda2\lib\site-packages (from google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob) (2.18.4)
Requirement already satisfied: pytz in c:\users\ps\anaconda2\lib\site-packages (from google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob) (2018.4)
Requirement already satisfied: setuptools>=34.0.0 in c:\users\ps\anaconda2\lib\site-packages (from google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob) (39.1.0)
Collecting grpcio>=1.8.2; extra == "grpc" (from google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob)
Downloading https://files.pythonhosted.org/packages/12/d7/b7311f393c785dd877259e6427a3abbf7c75871b53da19c70a59ecf4266a/grpcio-1.15.0-cp27-cp27m-win_amd64.whl (1.5MB)
Collecting cachetools>=2.0.0 (from google-auth<2.0.0dev,>=0.4.0->google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob)
Downloading https://files.pythonhosted.org/packages/0a/58/cbee863250b31d80f47401d04f34038db6766f95dea1cc909ea099c7e571/cachetools-2.1.0-py2.py3-none-any.whl
Collecting pyasn1-modules>=0.2.1 (from google-auth<2.0.0dev,>=0.4.0->google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob)
Downloading https://files.pythonhosted.org/packages/19/02/fa63f7ba30a0d7b925ca29d034510fc1ffde53264b71b4155022ddf3ab5d/pyasn1_modules-0.2.2-py2.py3-none-any.whl (62kB)
Collecting rsa>=3.1.4 (from google-auth<2.0.0dev,>=0.4.0->google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob)
Downloading https://files.pythonhosted.org/packages/02/e5/38518af393f7c214357079ce67a317307936896e961e35450b70fad2a9cf/rsa-4.0-py2.py3-none-any.whl
Requirement already satisfied: chardet<3.1.0,>=3.0.2 in c:\users\ps\anaconda2\lib\site-packages (from requests<3.0.0dev,>=2.18.0->google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob) (3.0.4)
Requirement already satisfied: idna<2.7,>=2.5 in c:\users\ps\anaconda2\lib\site-packages (from requests<3.0.0dev,>=2.18.0->google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob) (2.6)
Requirement already satisfied: certifi>=2017.4.17 in c:\users\ps\anaconda2\lib\site-packages (from requests<3.0.0dev,>=2.18.0->google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob) (2018.4.16)
Requirement already satisfied: enum34>=1.0.4 in c:\users\ps\anaconda2\lib\site-packages (from grpcio>=1.8.2; extra == "grpc"->google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob) (1.1.6)
Collecting pyasn1<0.5.0,>=0.4.1 (from pyasn1-modules>=0.2.1->google-auth<2.0.0dev,>=0.4.0->google-api-core[grpc]<2.0.0dev,>=0.1.0->google-cloud-dataproc>=0.2.0->mrjob)
Downloading https://files.pythonhosted.org/packages/d1/a1/7790cc85db38daa874f6a2e6308131b9953feb1367f2ae2d1123bb93a9f5/pyasn1-0.4.4-py2.py3-none-any.whl (72kB)
Building wheels for collected packages: googleapis-common-protos
Running setup.py bdist_wheel for googleapis-common-protos: started
Running setup.py bdist_wheel for googleapis-common-protos: finished with status 'done'
Stored in directory: C:\Users\PS\AppData\Local\pip\Cache\wheels\62\45\af\649bbf07b6595fda010be1bda667cd56d0444d07afc6f8b687
Successfully built googleapis-common-protos
Installing collected packages: protobuf, cachetools, pyasn1, pyasn1-modules, rsa, google-auth, googleapis-common-protos, grpcio, google-api-core, google-cloud-dataproc, google-cloud-core, google-cloud-logging, jmespath, botocore, google-resumable-media, google-cloud-storage, s3transfer, boto3, mrjob
Successfully installed boto3-1.9.14 botocore-1.12.14 cachetools-2.1.0 google-api-core-1.4.1 google-auth-1.5.1 google-cloud-core-0.28.1 google-cloud-dataproc-0.2.0 google-cloud-logging-1.7.0 google-cloud-storage-1.12.0 google-resumable-media-0.3.1 googleapis-common-protos-1.5.3 grpcio-1.15.0 jmespath-0.9.3 mrjob-0.6.5 protobuf-3.6.1 pyasn1-0.4.4 pyasn1-modules-0.2.2 rsa-4.0 s3transfer-0.1.13
distributed 1.21.8 requires msgpack, which is not installed.
grin 1.2.1 requires argparse>=1.1, which is not installed.
You are using pip version 10.0.1, however version 18.0 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
In [ ]:
# %load code/MRWordFrequencyCount.py
# Do not run this cell it is just displaying the content of the code
from mrjob.job import MRJob
class MRWordFrequencyCount(MRJob):
def mapper(self, _ , line):
yield "chars", len(line)
yield "words", len(line.split())
yield "lines", 1
def reducer(self, key, values):
yield key, sum(values)
if __name__ == '__main__':
MRWordFrequencyCount.run()
In [20]:
%run -G code/MRWordFrequencyCount.py ./.mrjob.conf data/canterbury/alice29.txt
No configs found; falling back on auto-configuration
No configs found; falling back on auto-configuration
No configs found; falling back on auto-configuration
No configs found; falling back on auto-configuration
No configs found; falling back on auto-configuration
INFO:mrjob.conf:No configs found; falling back on auto-configuration
No configs specified for inline runner
No configs specified for inline runner
No configs specified for inline runner
No configs specified for inline runner
No configs specified for inline runner
WARNING:mrjob.conf:No configs specified for inline runner
Running step 1 of 1...
Running step 1 of 1...
Running step 1 of 1...
Running step 1 of 1...
Running step 1 of 1...
INFO:mrjob.sim:Running step 1 of 1...
Creating temp directory c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000
Creating temp directory c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000
Creating temp directory c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000
Creating temp directory c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000
Creating temp directory c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000
INFO:mrjob.runner:Creating temp directory c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000
job output is in c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000\output
job output is in c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000\output
job output is in c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000\output
job output is in c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000\output
job output is in c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000\output
INFO:mrjob.runner:job output is in c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000\output
Streaming final output from c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000\output...
Streaming final output from c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000\output...
Streaming final output from c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000\output...
Streaming final output from c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000\output...
Streaming final output from c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000\output...
INFO:mrjob.runner:Streaming final output from c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000\output...
"chars" 148687
"lines" 12
"words" 26475
Removing temp directory c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000...
Removing temp directory c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000...
Removing temp directory c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000...
Removing temp directory c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000...
Removing temp directory c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000...
INFO:mrjob.runner:Removing temp directory c:\users\ps\appdata\local\temp\MRWordFrequencyCount.PS.20181001.022038.947000...
[Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFrequencyCount.PS.20181001.022038.947000\\step\\000\\cache\\MRWordFrequencyCount.py'
Traceback (most recent call last):
File "C:\Users\PS\anaconda2\lib\site-packages\mrjob\runner.py", line 615, in _cleanup_local_tmp
shutil.rmtree(self._local_tmp_dir)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 266, in rmtree
onerror(os.remove, fullname, sys.exc_info())
File "C:\Users\PS\anaconda2\lib\shutil.py", line 264, in rmtree
os.remove(fullname)
WindowsError: [Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFrequencyCount.PS.20181001.022038.947000\\step\\000\\cache\\MRWordFrequencyCount.py'
[Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFrequencyCount.PS.20181001.022038.947000\\step\\000\\cache\\MRWordFrequencyCount.py'
Traceback (most recent call last):
File "C:\Users\PS\anaconda2\lib\site-packages\mrjob\runner.py", line 615, in _cleanup_local_tmp
shutil.rmtree(self._local_tmp_dir)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 266, in rmtree
onerror(os.remove, fullname, sys.exc_info())
File "C:\Users\PS\anaconda2\lib\shutil.py", line 264, in rmtree
os.remove(fullname)
WindowsError: [Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFrequencyCount.PS.20181001.022038.947000\\step\\000\\cache\\MRWordFrequencyCount.py'
[Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFrequencyCount.PS.20181001.022038.947000\\step\\000\\cache\\MRWordFrequencyCount.py'
Traceback (most recent call last):
File "C:\Users\PS\anaconda2\lib\site-packages\mrjob\runner.py", line 615, in _cleanup_local_tmp
shutil.rmtree(self._local_tmp_dir)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 266, in rmtree
onerror(os.remove, fullname, sys.exc_info())
File "C:\Users\PS\anaconda2\lib\shutil.py", line 264, in rmtree
os.remove(fullname)
WindowsError: [Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFrequencyCount.PS.20181001.022038.947000\\step\\000\\cache\\MRWordFrequencyCount.py'
[Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFrequencyCount.PS.20181001.022038.947000\\step\\000\\cache\\MRWordFrequencyCount.py'
Traceback (most recent call last):
File "C:\Users\PS\anaconda2\lib\site-packages\mrjob\runner.py", line 615, in _cleanup_local_tmp
shutil.rmtree(self._local_tmp_dir)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 266, in rmtree
onerror(os.remove, fullname, sys.exc_info())
File "C:\Users\PS\anaconda2\lib\shutil.py", line 264, in rmtree
os.remove(fullname)
WindowsError: [Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFrequencyCount.PS.20181001.022038.947000\\step\\000\\cache\\MRWordFrequencyCount.py'
[Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFrequencyCount.PS.20181001.022038.947000\\step\\000\\cache\\MRWordFrequencyCount.py'
Traceback (most recent call last):
File "C:\Users\PS\anaconda2\lib\site-packages\mrjob\runner.py", line 615, in _cleanup_local_tmp
shutil.rmtree(self._local_tmp_dir)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 266, in rmtree
onerror(os.remove, fullname, sys.exc_info())
File "C:\Users\PS\anaconda2\lib\shutil.py", line 264, in rmtree
os.remove(fullname)
WindowsError: [Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFrequencyCount.PS.20181001.022038.947000\\step\\000\\cache\\MRWordFrequencyCount.py'
ERROR:mrjob.runner:[Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFrequencyCount.PS.20181001.022038.947000\\step\\000\\cache\\MRWordFrequencyCount.py'
Traceback (most recent call last):
File "C:\Users\PS\anaconda2\lib\site-packages\mrjob\runner.py", line 615, in _cleanup_local_tmp
shutil.rmtree(self._local_tmp_dir)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 266, in rmtree
onerror(os.remove, fullname, sys.exc_info())
File "C:\Users\PS\anaconda2\lib\shutil.py", line 264, in rmtree
os.remove(fullname)
WindowsError: [Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFrequencyCount.PS.20181001.022038.947000\\step\\000\\cache\\MRWordFrequencyCount.py'
In [23]:
# %load code\MRWordFreqCount.py
# Do not run this block of code just a display of the stored program
from mrjob.job import MRJob
import re
WORD_RE = re.compile(r"[\w']+")
class MRWordFreqCount(MRJob):
def mapper(self, _, line):
for word in WORD_RE.findall(line):
yield word.lower(), 1
def combiner(self, word, counts):
yield word, sum(counts)
def reducer(self, word, counts):
yield word, sum(counts)
if __name__ == '__main__':
MRWordFreqCount.run()
usage: usage: ipykernel_launcher.py [options] [input files]
ipykernel_launcher.py: error: unrecognized arguments: -f
An exception has occurred, use %tb to see the full traceback.
SystemExit: 2
In [ ]:
In [24]:
%run code/MRWordFreqCount.py data/canterbury/alice29.txt
No configs found; falling back on auto-configuration
No configs found; falling back on auto-configuration
No configs found; falling back on auto-configuration
No configs found; falling back on auto-configuration
No configs found; falling back on auto-configuration
No configs found; falling back on auto-configuration
INFO:mrjob.conf:No configs found; falling back on auto-configuration
No configs specified for inline runner
No configs specified for inline runner
No configs specified for inline runner
No configs specified for inline runner
No configs specified for inline runner
No configs specified for inline runner
WARNING:mrjob.conf:No configs specified for inline runner
Running step 1 of 1...
Running step 1 of 1...
Running step 1 of 1...
Running step 1 of 1...
Running step 1 of 1...
Running step 1 of 1...
INFO:mrjob.sim:Running step 1 of 1...
Creating temp directory c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000
Creating temp directory c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000
Creating temp directory c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000
Creating temp directory c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000
Creating temp directory c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000
Creating temp directory c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000
INFO:mrjob.runner:Creating temp directory c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000
job output is in c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000\output
job output is in c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000\output
job output is in c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000\output
job output is in c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000\output
job output is in c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000\output
job output is in c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000\output
INFO:mrjob.runner:job output is in c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000\output
Streaming final output from c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000\output...
Streaming final output from c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000\output...
Streaming final output from c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000\output...
Streaming final output from c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000\output...
Streaming final output from c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000\output...
Streaming final output from c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000\output...
INFO:mrjob.runner:Streaming final output from c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000\output...
"'" 1091
"'em" 3
"'tis" 5
"2" 1
"9" 1
"_i_" 2
"a" 632
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"after" 43
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"again" 82
"against" 9
"age" 4
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"agree" 2
"ah" 5
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"air" 15
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"alas" 4
"alice" 386
"alice's" 12
"alive" 3
"all" 182
"allow" 3
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"and" 872
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"better'" 1
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"bill" 13
"bill's" 4
"bird" 2
"birds" 10
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"blow" 2
"blown" 1
"blows" 1
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"boldly" 1
"bone" 1
"bones" 1
"book" 11
"books" 2
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"boots" 4
"bore" 1
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"bottle" 10
"bottom" 4
"bough" 1
"bound" 1
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"bowing" 1
"box" 10
"boxed" 1
"boy" 3
"brain" 1
"branch" 1
"branches" 2
"brandy" 1
"brass" 1
"brave" 1
"bread" 7
"break" 2
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"breathe" 3
"breeze" 1
"bright" 8
"brightened" 2
"bring" 3
"bringing" 3
"bristling" 1
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"broken" 6
"brother's" 1
"brought" 3
"brown" 2
"brush" 1
"brushing" 1
"burn" 2
"burning" 1
"burnt" 1
"burst" 1
"bursting" 1
"busily" 4
"business" 7
"busy" 2
"but" 170
"butter" 9
"buttercup" 1
"buttered" 1
"butterfly" 1
"buttons" 1
"by" 58
"bye" 2
"c" 1
"cackled" 1
"cake" 3
"cakes" 3
"call" 9
"called" 15
"calling" 1
"calmly" 1
"came" 40
"camomile" 1
"can" 35
"can't" 28
"canary" 1
"candle" 3
"cannot" 1
"canterbury" 1
"canvas" 1
"capering" 1
"capital" 4
"cardboard" 1
"cards" 3
"care" 4
"carefully" 3
"cares" 2
"carried" 4
"carrier" 1
"carroll" 1
"carry" 1
"carrying" 2
"cart" 1
"cartwheels" 1
"case" 5
"cat" 35
"cat's" 2
"catch" 4
"catching" 2
"caterpillar" 27
"caterpillar's" 1
"cats" 13
"cattle" 1
"caucus" 3
"caught" 3
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"cause" 3
"caused" 2
"cautiously" 3
"ceiling" 1
"centre" 1
"certain" 3
"certainly" 14
"chain" 1
"chains" 1
"chair" 1
"chance" 4
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"change" 13
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"changing" 2
"chapter" 12
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"cheap" 1
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"cheered" 3
"cheerfully" 1
"cherry" 1
"cheshire" 7
"chief" 1
"child" 11
"childhood" 1
"children" 10
"chimney" 6
"chimneys" 1
"chin" 7
"choice" 2
"choke" 1
"choked" 3
"choking" 1
"choosing" 1
"chop" 1
"chorus" 6
"chose" 2
"christmas" 1
"chrysalis" 1
"chuckled" 1
"circle" 1
"circumstances" 1
"civil" 3
"clamour" 1
"clapping" 1
"clasped" 1
"classics" 1
"claws" 2
"clean" 1
"clear" 2
"cleared" 1
"clearer" 1
"clearly" 1
"clever" 2
"climb" 1
"clinging" 1
"clock" 2
"close" 13
"closed" 2
"closely" 1
"closer" 1
"clubs" 1
"coast" 1
"coaxing" 2
"coils" 1
"cold" 1
"collar" 1
"collected" 2
"come" 46
"comes" 2
"comfits" 2
"comfort" 1
"comfortable" 1
"comfortably" 1
"coming" 9
"common" 1
"commotion" 1
"company" 1
"complained" 1
"complaining" 1
"completely" 1
"concert" 2
"concluded" 2
"conclusion" 2
"condemn" 1
"conduct" 1
"confused" 4
"confusing" 3
"confusion" 5
"conger" 1
"conqueror" 2
"conquest" 1
"consented" 1
"consider" 4
"considered" 3
"considering" 3
"constant" 2
"consultation" 1
"contempt" 1
"contemptuous" 1
"contemptuously" 2
"content" 1
"continued" 9
"contradicted" 1
"conversation" 10
"conversations" 1
"cook" 13
"cool" 2
"corner" 4
"corners" 1
"cost" 1
"could" 77
"couldn't" 9
"counting" 1
"country" 1
"couple" 1
"couples" 1
"courage" 3
"course" 26
"court" 18
"courtiers" 2
"coward" 1
"crab" 3
"crash" 3
"crashed" 1
"crawled" 1
"crawling" 1
"crazy" 1
"creature" 4
"creatures" 10
"creep" 1
"crept" 1
"cried" 20
"cries" 1
"crimson" 2
"crocodile" 1
"croquet" 9
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"cross" 3
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"cry" 3
"crying" 2
"cucumber" 2
"cunning" 1
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"cupboards" 2
"cur" 1
"curiosity" 5
"curious" 19
"curiouser" 2
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"cut" 5
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"dare" 5
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"dates" 1
"daughter" 1
"day" 29
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"dead" 4
"deal" 12
"dear" 29
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"declare" 2
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"deep" 7
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"delay" 1
"delight" 3
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"delightful" 2
"denial" 1
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"denies" 1
"deny" 2
"denying" 1
"depends" 1
"derision" 1
"deserved" 1
"desk" 1
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"despair" 1
"desperate" 1
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"diamonds" 1
"did" 63
"didn't" 14
"die" 1
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"different" 9
"difficult" 2
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"difficulty" 4
"dig" 1
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"diligently" 1
"dinah" 11
"dinah'll" 2
"dinah's" 1
"dinn" 2
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"direction" 5
"directions" 3
"directly" 2
"disagree" 1
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"disgust" 1
"dish" 4
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"dispute" 2
"distance" 8
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"do" 81
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"does" 9
"doesn't" 16
"dog" 2
"dog's" 1
"dogs" 3
"doing" 5
"don't" 61
"done" 15
"door" 30
"doors" 2
"doorway" 1
"dormouse" 39
"dormouse's" 1
"doth" 3
"double" 1
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"doubling" 1
"doubt" 4
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"down" 102
"downward" 1
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"dozing" 1
"draggled" 1
"draw" 7
"drawing" 1
"drawling" 3
"dreadful" 2
"dreadfully" 6
"dream" 7
"dreamed" 1
"dreaming" 1
"dreamy" 1
"dressed" 1
"drew" 5
"dried" 1
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"drink" 7
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Removing temp directory c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000...
Removing temp directory c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000...
Removing temp directory c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000...
Removing temp directory c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000...
Removing temp directory c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000...
Removing temp directory c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000...
INFO:mrjob.runner:Removing temp directory c:\users\ps\appdata\local\temp\MRWordFreqCount.PS.20181001.022200.276000...
[Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFreqCount.PS.20181001.022200.276000\\step\\000\\cache\\MRWordFreqCount.py'
Traceback (most recent call last):
File "C:\Users\PS\anaconda2\lib\site-packages\mrjob\runner.py", line 615, in _cleanup_local_tmp
shutil.rmtree(self._local_tmp_dir)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 266, in rmtree
onerror(os.remove, fullname, sys.exc_info())
File "C:\Users\PS\anaconda2\lib\shutil.py", line 264, in rmtree
os.remove(fullname)
WindowsError: [Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFreqCount.PS.20181001.022200.276000\\step\\000\\cache\\MRWordFreqCount.py'
[Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFreqCount.PS.20181001.022200.276000\\step\\000\\cache\\MRWordFreqCount.py'
Traceback (most recent call last):
File "C:\Users\PS\anaconda2\lib\site-packages\mrjob\runner.py", line 615, in _cleanup_local_tmp
shutil.rmtree(self._local_tmp_dir)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 266, in rmtree
onerror(os.remove, fullname, sys.exc_info())
File "C:\Users\PS\anaconda2\lib\shutil.py", line 264, in rmtree
os.remove(fullname)
WindowsError: [Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFreqCount.PS.20181001.022200.276000\\step\\000\\cache\\MRWordFreqCount.py'
[Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFreqCount.PS.20181001.022200.276000\\step\\000\\cache\\MRWordFreqCount.py'
Traceback (most recent call last):
File "C:\Users\PS\anaconda2\lib\site-packages\mrjob\runner.py", line 615, in _cleanup_local_tmp
shutil.rmtree(self._local_tmp_dir)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 266, in rmtree
onerror(os.remove, fullname, sys.exc_info())
File "C:\Users\PS\anaconda2\lib\shutil.py", line 264, in rmtree
os.remove(fullname)
WindowsError: [Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFreqCount.PS.20181001.022200.276000\\step\\000\\cache\\MRWordFreqCount.py'
[Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFreqCount.PS.20181001.022200.276000\\step\\000\\cache\\MRWordFreqCount.py'
Traceback (most recent call last):
File "C:\Users\PS\anaconda2\lib\site-packages\mrjob\runner.py", line 615, in _cleanup_local_tmp
shutil.rmtree(self._local_tmp_dir)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 266, in rmtree
onerror(os.remove, fullname, sys.exc_info())
File "C:\Users\PS\anaconda2\lib\shutil.py", line 264, in rmtree
os.remove(fullname)
WindowsError: [Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFreqCount.PS.20181001.022200.276000\\step\\000\\cache\\MRWordFreqCount.py'
[Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFreqCount.PS.20181001.022200.276000\\step\\000\\cache\\MRWordFreqCount.py'
Traceback (most recent call last):
File "C:\Users\PS\anaconda2\lib\site-packages\mrjob\runner.py", line 615, in _cleanup_local_tmp
shutil.rmtree(self._local_tmp_dir)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 266, in rmtree
onerror(os.remove, fullname, sys.exc_info())
File "C:\Users\PS\anaconda2\lib\shutil.py", line 264, in rmtree
os.remove(fullname)
WindowsError: [Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFreqCount.PS.20181001.022200.276000\\step\\000\\cache\\MRWordFreqCount.py'
[Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFreqCount.PS.20181001.022200.276000\\step\\000\\cache\\MRWordFreqCount.py'
Traceback (most recent call last):
File "C:\Users\PS\anaconda2\lib\site-packages\mrjob\runner.py", line 615, in _cleanup_local_tmp
shutil.rmtree(self._local_tmp_dir)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 266, in rmtree
onerror(os.remove, fullname, sys.exc_info())
File "C:\Users\PS\anaconda2\lib\shutil.py", line 264, in rmtree
os.remove(fullname)
WindowsError: [Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFreqCount.PS.20181001.022200.276000\\step\\000\\cache\\MRWordFreqCount.py'
ERROR:mrjob.runner:[Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFreqCount.PS.20181001.022200.276000\\step\\000\\cache\\MRWordFreqCount.py'
Traceback (most recent call last):
File "C:\Users\PS\anaconda2\lib\site-packages\mrjob\runner.py", line 615, in _cleanup_local_tmp
shutil.rmtree(self._local_tmp_dir)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 261, in rmtree
rmtree(fullname, ignore_errors, onerror)
File "C:\Users\PS\anaconda2\lib\shutil.py", line 266, in rmtree
onerror(os.remove, fullname, sys.exc_info())
File "C:\Users\PS\anaconda2\lib\shutil.py", line 264, in rmtree
os.remove(fullname)
WindowsError: [Error 5] Access is denied: u'c:\\users\\ps\\appdata\\local\\temp\\MRWordFreqCount.PS.20181001.022200.276000\\step\\000\\cache\\MRWordFreqCount.py'
In [26]:
!pip install pyspark
Collecting pyspark
Downloading https://files.pythonhosted.org/packages/5e/cb/d8ff49ba885e2c88b8cf2967edd84235ffa9ac301bffef657dfa5605a112/pyspark-2.3.2.tar.gz (211.9MB)
Collecting py4j==0.10.7 (from pyspark)
Downloading https://files.pythonhosted.org/packages/e3/53/c737818eb9a7dc32a7cd4f1396e787bd94200c3997c72c1dbe028587bd76/py4j-0.10.7-py2.py3-none-any.whl (197kB)
Building wheels for collected packages: pyspark
Running setup.py bdist_wheel for pyspark: started
Running setup.py bdist_wheel for pyspark: still running...
Running setup.py bdist_wheel for pyspark: finished with status 'done'
Stored in directory: C:\Users\PS\AppData\Local\pip\Cache\wheels\be\7d\34\cd3cfbc75d8b6b6ae0658e5425348560b86d187fe3e53832cc
Successfully built pyspark
Installing collected packages: py4j, pyspark
Successfully installed py4j-0.10.7 pyspark-2.3.2
distributed 1.21.8 requires msgpack, which is not installed.
grin 1.2.1 requires argparse>=1.1, which is not installed.
You are using pip version 10.0.1, however version 18.0 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
Another way to implement this is to use SPARK on your local box: Need to load spark and pyspark to get all this working
http://spark.apache.org/downloads.html
pyspark: pip install pyspark
On windows you need to follow: https://medium.com/@GalarnykMichael/install-spark-on-windows-pyspark-4498a5d8d66c
Test code From: https://github.com/eBay/Spark/blob/master/examples/src/main/python/wordcount.py
In [ ]:
# %load code\pysparkcount.py
#
# 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.
#
#https://github.com/apache/spark/blob/master/examples/src/main/python/wordcount.py
from __future__ import print_function
import sys
from operator import add
from pyspark import SparkContext
if __name__ == "__main__":
if len(sys.argv) != 2:
print("Usage: wordcount <file>", file=sys.stderr)
exit(-1)
sc = SparkContext(appName="PythonWordCount")
lines = sc.textFile(sys.argv[1], 1)
counts = lines.flatMap(lambda x: x.split(' ')) \
.map(lambda x: (x, 1)) \
.reduceByKey(add)
output = counts.collect()
for (word, count) in output:
print("%s: %i" % (word, count))
sc.stop()
Should be able to run using %run code/pysparkcount.py data/canterbury/alice29.txt
In [ ]:
Content source: pschragger/big-data-python-class
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