In this question don’t change code, just in python postgreSQL but solve the question and follow the instructions #!/usr/bin/env pythonfrom operator import itemgetterimport syscurrent_word = Nonecurrent_count = 0word = None# input comes from STDINfor line in sys.stdin:# remove leading and trailing whitespaceline = line.strip()# parse the input we got from mapper.pyword, count = line.split('\t', 1)'# print "DEBUG: "# convert count (currently a string) to inttry:count = int(count)except ValueError:# count was not a number, normally we would drop a log error# but that is out of scope here, so continuecontinueword, " "count# this IF-switch only works because Hadoop sorts# by key (here: word) before it is passed to the reducer# hence the single-host example using streaming pipe must add in# an explicit sort!if current_word == word:current_count += countelse:if current_word:output# write result to STDOUTprint(f'{current_word}\t{current_count}')current_count = countcurrent_word = word# do not forget to output the last word if needed!if current_word == word:print(f'{current_word}\t{current_count}')$ cat beach_day.csv I ./mapper.py | sort -k1,1 | ./reducer.py"Accessory""Camping""Food""Toy"12 Pseudo Code:1. For each record in my data set:a. Inspect the column listed in the group by statement, and determine if we have found it previously,b. If we have not then put it into a data structure which keeps track of keys and can associate values with them, such as a "map" (also called a hash, or dictionary) and put the aggregate function target (price) value into the value spot.c. If we have seen it before, then take the value from our aggregate function target (again, price) and apply the function to it before replacing the new value with the one curently in the value spot of our map.

.!/usr/bin/env python from operator import itemgetter import sys currentword - None current_count -…

Answered: In this question don’t change code,…

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In this question don’t change code, just in python postgreSQL but solve the question and follow the instructions

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Structured English

Structured English uses a simple English language to make structured programming easier for non-professionals. The program is divided into various parts that are known as logical statements. These statements are written in a simple English language.

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In this question don’t change code, just in python postgreSQL but solve the question and follow the instructions

#!/usr/bin/env python
from operator import itemgetter
import sys
current_word = None
current_count = 0
word = None
# input comes from STDIN
for line in sys.stdin:
# remove leading and trailing whitespace
line = line.strip()
# parse the input we got from mapper.py
word, count = line.split('\t', 1)'
# print "DEBUG: "
# convert count (currently a string) to int
try:
count = int(count)
except ValueError:
# count was not a number, normally we would drop a log error
# but that is out of scope here, so continue
continue
word, " "
count
# this IF-switch only works because Hadoop sorts
# by key (here: word) before it is passed to the reducer
# hence the single-host example using streaming pipe must add in
# an explicit sort!
if current_word == word:
current_count += count
else:
if current_word:
output
# write result to STDOUT
print(f'{current_word}\t{current_count}')
current_count = count
current_word = word
# do not forget to output the last word if needed!
if current_word == word:
print(f'{current_word}\t{current_count}')
$ cat beach_day.csv I ./mapper.py | sort -k1,1 | ./reducer.py
"Accessory"
"Camping"
"Food"
"Toy"
1
2

Pseudo Code:
1. For each record in my data set:
a. Inspect the column listed in the group by statement, and determine if we have found it previously,
b. If we have not then put it into a data structure which keeps track of keys and can associate values with them, such as a "map" (also called a hash, or dictionary) and put the aggregate function target (price) value into the value spot.
c. If we have seen it before, then take the value from our aggregate function target (again, price) and apply the function to it before replacing the new value with the one curently in the value spot of our map.

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