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""" | |
Each 'import' statement demarcates a separate file | |
""" | |
# map.py | |
import time | |
start = time.time() | |
print("\n(Map) multiplying 60 million elements by 2") | |
dbls=map(lambda n: 2*n, range(60000000)) | |
print("(Reduce) sum: %d" % sum(dbls)) | |
end = time.time() | |
print("Total MapReduce time: %f" % (end-start)) | |
# gen_map.py | |
import time | |
start = time.time() | |
print("\n(Map) multiplying 60 million elements by 2") | |
dbls=[2*n for n in range(60000000)] | |
print("(Reduce) sum: %d" % sum(dbls)) | |
end = time.time() | |
print("Total MapReduce time: %f" % (end-start)) | |
# numpy_map.py | |
import numpy as np | |
import time | |
start = time.time() | |
print("\n(Map) multiplying 60 million elements by 2") | |
dbls=np.arange(60000000)*2 | |
print("(Reduce) sum: %d" % sum(dbls)) | |
end = time.time() | |
print("Total MapReduce time: %f" % (end-start)) | |
# pandas_map.py | |
import pandas as pd | |
import time | |
start = time.time() | |
print("\n(Map) multiplying 60 million elements by 2") | |
dbls=pd.Series(range(60000000))*2 | |
print("(Reduce) sum: %d" % dbls.sum()) | |
end = time.time() | |
print("Total MapReduce time: %f" % (end-start)) |
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