Created
June 17, 2009 17:20
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#!/usr/bin/env python | |
# | |
# Python code for http://www.cloudera.com/blog/2009/06/17/analyzing-apache-logs-with-piganalyzing-apache-logs-with-pig/ | |
import sys | |
import math | |
def rescale(values, low=0, high=4095): | |
"""Linearly rescales values to be strictly between low and high.""" | |
maxval = max(values) | |
minval = min(values) | |
scale = float(high-low)/float(maxval-minval) | |
return [ low + scale*(x - minval) for x in values ] | |
def encode(i): | |
""" | |
Implements the "extended encoding" at | |
http://code.google.com/apis/chart/formats.html#extended | |
""" | |
code = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-." | |
i = int(i) | |
assert len(code) == 64 | |
assert i >= 0 | |
assert i < 64*64 | |
return "%s%s" % (code[i/64], code[i%64]) | |
def build_map_url(keys, values, area="world"): | |
""" | |
Builds a Google chart API map URL. | |
Keys are country or state codes within area, and values | |
should be values that can be encoded. | |
""" | |
# See http://code.google.com/apis/chart/types.html#maps | |
return "http://chart.apis.google.com/chart?cht=t&chs=440x220&chco=FFFFFF,FFFFFF,148BCF" + \ | |
"&chtm=%s&chld=%s&chd=e:%s" % (area, "".join(keys), "".join(map(encode, values))) | |
def print_url(header, url): | |
print "%s: <img src='%s'><br>" % (header, url) | |
def read_tsv(filename): | |
return map(lambda line: line.rstrip().split("\t"), file(filename)) | |
def main(): | |
# Read by_country data, filter out null countries, and transpose it. | |
lines = read_tsv("by_country.tsv") | |
lines = filter(lambda x: x[0], lines) | |
countries, hits, bytes = zip(*lines) | |
# Take the log of the data and rescale. | |
hits = rescale(map(math.log, map(float, hits))) | |
bytes = rescale(map(math.log, map(float, bytes))) | |
print_url("Bytes by country:", build_map_url(countries, bytes)) | |
print_url("Hits by country:", build_map_url(countries, hits)) | |
# Read by_state (US data), filter out the null, and transpose | |
lines = read_tsv("by_state.tsv") | |
lines = filter(lambda x: x[0], lines) | |
states, hits, bytes = zip(*lines) | |
# Take logs and rescale | |
hits = rescale(map(math.log, map(float, hits))) | |
bytes = rescale(map(math.log, map(float, bytes))) | |
print_url("Bytes by state: ", build_map_url(states, bytes, "usa")) | |
print_url("Hits by state: ", build_map_url(states, hits, "usa")) | |
if __name__ == "__main__": | |
main() |
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