def main(input, output):
with open(output, 'wb') as outfile:
for fname in reader.smart_find_logs(input):
print "Processing", fname
with open(fname, 'rb') as f:
results = pipeline.inline(f, filt)
outfile.writelines(util.stringify(results))
def main(input, output):
for fname in reader.smart_find_logs(input):
print "Processing", fname
with open(fname, 'rb') as f:
results = pipeline.inline(f, increment)
util.exhaust(results)
dump_counts(output)
def main(input, output):
for fname in reader.smart_find_logs(input):
print "Processing", fname
with open(fname, 'rb') as f:
results = pipeline.inline(f, increment)
util.exhaust(results)
dump_counts(output)
def main(input, output, num_workers):
fnames = reader.smart_find_logs(input)
pipeline.fakepool(fnames, mapper, local_reducer, global_reducer,
num_workers)
dump_counts(global_counts, output)
def main(input, output, num_workers):
fnames = reader.smart_find_logs(input)
pipeline.pool(fnames, util.identity, local_reducer, global_reducer, num_workers)
dump_counts(global_counts, output)
def main(input, output, num_workers):
fnames = reader.smart_find_logs(input)
pipeline.fakepool(fnames, mapper, local_reducer, global_reducer, num_workers)
dump_counts(global_counts, output)
def main(input, output, num_workers):
fnames = reader.smart_find_logs(input)
roller = util.rollover(output)
pipeline.pool(fnames, mapper, util.identity, roller.writelines, num_workers)