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Log Axis — Throughput Across Four Orders of Magnitude

Measured throughput against request size on a logarithmic y axis, with the axis stating its own base. A log axis is the right choice here and the wrong choice more often than it is used, so the template pairs it with a note saying what the reader has to do differently: on this axis equal vertical distances are equal RATIOS, not equal differences.

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Sustained throughput by request size2 series (line). x from 1 to 4096 — Request size. y from 84 to 51900 — Throughput. Series: v2.4; v2.5.Sustained throughput by request sizeSingle node, warm cache, median of five runs · 2 series · 14 pointsv2.4v2.51101001000Request size (KiB)100100010000Throughput (requests/s)v2.4v2.5Both axes are logarithmic. Equal vertical distances on this figure are equal RATIOS, not equal differences — the gap between the two curves is a constant factor of about1.5, not a constant number of requests.

Make it your own.

title: Sustained throughput by request size
subtitle: Single node, warm cache, median of five runs
x: Request size (KiB)
y: Throughput (requests/s)
x scale: log
y scale: log
grid: both
legend: right

line "v2.4" curve: monotone
  1     48200
  4     31500
  16    14800
  64     4900
  256    1310
  1024    338
  4096     84

line "v2.5" curve: monotone
  1     51900
  4     36200
  16    18400
  64     6700
  256    1980
  1024    552
  4096    147

note: Both axes are logarithmic. Equal vertical distances on this figure are equal RATIOS, not equal differences — the gap between the two curves is a constant factor of about 1.5, not a constant number of requests.