blob: 1bba8ff74802dbe8cf93cef46c77ff352b358243 [file] [log] [blame]
#!/usr/bin/python2.7
""" Cut the number bins in half in fio histogram output. Example usage:
$ half-bins.py -c 2 output_clat_hist.1.log > smaller_clat_hist.1.log
Which merges e.g. bins [0 .. 3], [4 .. 7], ..., [1212 .. 1215] resulting in
304 = 1216 / (2**2) merged bins per histogram sample.
@author Karl Cronburg <karl.cronburg@gmail.com>
"""
import sys
def main(ctx):
stride = 1 << ctx.coarseness
with open(ctx.FILENAME, 'r') as fp:
for line in fp.readlines():
vals = line.split(', ')
sys.stdout.write("%s, %s, %s, " % tuple(vals[:3]))
hist = list(map(int, vals[3:]))
for i in range(0, len(hist) - stride, stride):
sys.stdout.write("%d, " % sum(hist[i : i + stride],))
sys.stdout.write("%d\n" % sum(hist[len(hist) - stride:]))
if __name__ == '__main__':
import argparse
p = argparse.ArgumentParser()
arg = p.add_argument
arg( 'FILENAME', help='clat_hist file for which we will reduce'
' (by half or more) the number of bins.')
arg('-c', '--coarseness',
default=1,
type=int,
help='number of times to reduce number of bins by half, '
'e.g. coarseness of 4 merges each 2^4 = 16 consecutive '
'bins.')
main(p.parse_args())